A comprehensive (but not complete!) review of the Lean Analytics book (http://leananalyticsbook.com), which was presented at the Lean Startup Conference in 2012. Focuses on the
The document provides tips and strategies for optimizing the user funnel, from acquiring first users to optimizing retention. It emphasizes testing optimizations through small experiments and using data to identify bottlenecks. Key recommendations include focusing first on learning rather than the funnel, using blogs and social media to acquire early users, and segmenting users to improve activation, onboarding and retention.
The document discusses buyer-centric funnel design. It emphasizes the importance of understanding where buyers are in their journey - awareness, consideration, or purchase. It recommends designing different experiences for each stage, with content that addresses buyer questions and concerns rather than just selling. The document also discusses identifying buyer personas, mapping their purchase process to the vendor's funnel, analyzing friction points, and optimizing the funnel based on buyer motivations and decision criteria. It provides examples from companies like Salsify and Apollo that redesigned their trials based on this approach, removing steps and addressing buyer pain points, which increased conversion rates.
The document discusses Lean Analytics and how data can be used to build a better business faster. It provides an overview of Lean principles and the stages of Lean Analytics - Empathy, Stickiness, Virality, Revenue, and Scale. It also discusses lessons like mining existing data, testing a new product daily, identifying local maxima, differences between startups and large companies, and building analytics into operations. The document advocates for an iterative process of generating hypotheses, designing tests, measuring results, and making production changes to continually learn and improve.
Growth hacking is a marketing technique used by startups that focuses on creativity, data analysis, and social metrics to gain customers and exposure. It involves rapidly testing ideas through prototypes and measuring results to iterate quickly. Some key aspects of growth hacking include having an awesome product, thinking creatively, understanding viral growth loops, seeking major changes not just improvements, and being prepared to fail many times. Successful growth hacking examples include LinkedIn allowing public profiles to boost search engine results, YouTube making it easy to embed videos, and Airbnb contacting people with listings on Craigslist. Qualities of a good growth hacker include problem-solving skills, ambition, understanding users, discipline, coding ability, and bravery in testing bold ideas.
The elusive hunt for finding product/market fit in your early startup is never easy. Here's some best practices from my own experiences founding & advising startups to bring discipline to that process.
Enjoyed this presentation? Subscribe to my weekly essays at http://www.sachinrekhi.com
Roadmapping the Product Roadmap (ProductCamp Boston 2016)
Ask 10 people what a product roadmap is and you will get 10 different answers! This little artifact is an often misunderstood component of product development, but an incredibly important one to get right. Creating a great one is part art and part science. In this session we will talk through the real purpose of a roadmap and how it can be used to get the most out of your project and team. We'll unpack the key steps in the process and shed more light on the tools and frameworks that can be used to ensure a successful roadmapping effort. If all goes well we'll even get a chance to practice a bit so we can see what it means to actually translate this stuff into real-life scenarios.
About C. Todd Lombardo
C. Todd is a leader who wears many hats, all at once: Author, designer, scientist, professor, and visualizer. After originally beginning his career in science, C. Todd shifted his focus to product and design, ultimately innovating, designing, and managing products for countless companies large and small. A teacher and speaker at heart, he frequently speaks at conferences and has directed five TEDx events in two countries. C. Todd serves as Adjunct Faculty at IE Business School in Madrid, and co-authored the book "Design Sprint," published by O'Reilly. Not only is he a chemistry Ph.D. dropout, but he also founded ProductCamp Boston. Those two facts may or may not be related.
[500DISTRO] The Scientific Method: How to Design & Track Viral Growth Experim...
The document discusses building a growth process for a company. It advocates focusing first on establishing a repeatable process for experimentation and growth, rather than individual tactics. The process involves setting goals, brainstorming growth ideas, prioritizing experiments, testing hypotheses through minimum viable tests, implementing experiments, analyzing results, and systematizing successful experiments. Establishing this type of process allows a company to continuously run experiments, learn, and scale growth over time through an organized and data-driven approach.
The document outlines Zac Hays' presentation on product strategy. It discusses the differences between vision, strategy, and roadmaps. It then provides an overview of BuildingConnected's strategy to first build a network through bid management, grow their SaaS business, and expand into new marketplaces. Finally, it outlines a 5-step process for defining a product strategy, including determining product-market fit, identifying defensive moats, selecting a strategic path, sequencing objectives, and stress testing the strategy.
Growth Hacking Fundamentals @ Echelon Jakarta (by Growth Hacking Asia)
The document provides an overview of growth hacking fundamentals. It begins by defining growth hacking as a process-driven approach focused on rapid experimentation to drive product growth, rather than just tactics or user acquisition. It discusses when growth hacking is most applicable and examples of common growth drivers like user acquisition, activation, referral, and retention. The document concludes by outlining the typical growth hacking process of identifying metrics to optimize, developing hypotheses, running experiments, analyzing results, and systematizing learnings.
30 Marketing growth hack cards taken from the recent blog posts of the smartest cookies in the industry. Crazy, sneaky, happy and weird marketing hacks.
Zero to 100 - Part 5: SaaS Business Model & Metrics
Zero to 100 is a learning program from David Skok. It is a detailed instruction manual for how to take your startup from zero to $100m, with a particular focus on the area of building a go-to-market machine. So many of todayâs founders come from a product or technical background, and have never been involved with sales and marketing. Right after starting their venture, they are hit with the huge problem of how to build their go-to-market organization and processes. It breaks the journey down into 9 steps, and explains why it is crucial not to skip steps in this journey in the rush to get ahead. The major emphasis of the course focuses on building a repeatable, scalable and profitable growth machine. Once you have that in place, you are ready to hit the gas and scale like crazy.
To see videos of the presentations, click here: https://www.forentrepreneurs.com/matrix-growth-academy-zero-to-100-videos/
Not just another buzzwordâŚproduct-led growth is an important go-to-market strategy that underpins some of todayâs most successful businesses. Think Dropbox, Slack, Intercom, Expensify and Datadog.
At OpenView, we define product-led growth (PLG) as a strategy that puts the product front and center when it comes to how a company acquires, expands and retains customers. Relying on a product-led strategy yields rapid, extremely efficient growth.
Although similar to a freemium approach, a product-led growth strategy doesnât actually require that you offer your product for free. It does however necessitate an amazing product and customer experience. In fact, PLG companies make it frictionless for users to start using their products. They deliver value extremely quickly and target users rather than buyers.
Slides from Growthcon 2014 Lean Analytics masterclass
This document discusses lean analytics and how startups can use data and metrics to iterate their products and business models. It provides examples of how companies like Hotmail, Flickr, and Twitter pivoted from their original ideas. The core of lean is continuous experimentation and iteration to find product-market fit through analytics. Good metrics should be understandable, comparative, and behavior changing. The document discusses frameworks like Eric Ries' three engines of growth - virality, price, and stickiness. It also provides examples of how companies empirically validated problems and solutions through low-cost experiments like Twitter polls and Mechanical Turk interviews.
This is the first SlideShare adaption of Timothy E. Johansson's 100 Growth Hacks in 100 Days. The growth hacks that's included in the slide are 1 to 10. Timothy is the front-end developer at UserApp (www.userapp.io).
User Story Mapping (USM) helps teams get a common understanding of requirements from the user's perspective to facilitate backlog creation. It improves backlog quality and team communication. USM creates a map with user stories arranged in a usage flow. Each story follows the "As a <user>, I want <goal> so that <benefit>" format. Together, the mapped stories provide an overview of a product from the user experience while maintaining granular stories for planning and testing.
How to use data to build a better business faster. Based on the book Lean Analytics, this presentation looks at startup metrics and offers a framework for deliberate growth and iterative improvement of a new business. It also includes examples from larger organizations trying to change from within.
Adobe User Group Amsterdam - Correlation between Innovation & Growth Hacking
My slides from my session at Adobe User Group Amsterdam 2015. Theme was "Hack your Growth" and a follow up of the Lean Analytics workshop from Alistair Croll at April 21st in Amsterdam. The talk is about why we need Growth Hacking to stimulate (corporate) innovation, from innovation dilemma, to lean analytics and various examples on growth hacking...
This document introduces the concepts of lean analytics and the lean analytics framework. It begins with an introduction to lean startup methodology and emphasizes the importance of testing hypotheses through minimum viable products and the build-measure-learn loop. It then discusses different types of metrics and introduces the lean analytics framework, which focuses on empathy, stickiness, virality, revenue, and scale. For each stage, it provides examples of relevant metrics for different business models. The framework is intended to help companies adopt a lean approach to analytics and product development.
Startup Metrics: The Data That Will Make or Break Your Business by Alistair C...
If youâre being methodical about growth, analytics matters. For startups, analytics is about measuring the right metric, in the right way, to produce the change the business needs most at that point in time. Thatâs harder than it sounds: you need a solid understanding of your business model; an awareness of whatâs most at risk; and a clear idea of where to draw the line between success and failure. Metrics measure not only the health of your business, but also your journey to product/market fit; the value of your company; and the reliability of your underlying infrastructure. Join Lean Analytics co-author Alistair Croll for an all-day, in-depth look at analytics, measurement, and working with data. Weâll cover:
The five stages of growth every company goes through, and how they guide your choice of metrics
Six business-model archetypes and their unique measurement challenges
What âgood enoughâ looks like for fundamental metrics
How to think about cohorts, segments, percentiles, and histograms
Measuring and aggregating infrastructure KPIs such as latency and availability
Using the Lean Analytics cycle to improve through experimentation
This workshop is relevant for people working in standalone startups and for corporate entrepreneurs. It will combine presentations, case studies, and interactive discussion of the audienceâs specific measurement challenges. Attendees need not be technical but should come armed with a basic understanding of web analytics, business metrics, and their current business model, plus a willingness to share with one another.
Analytics, Search, Social Media, and Optimization: Why Has Marketing Gotten S...
From search and social media to analytics and optimization, marketing has really gotten geeky. It's nearly impossible to keep up, so what should business owners know about online marketing in order to make good decisions about their web presence? This presentation is both a broad overview of key web marketing disciplines as well as a quick dive into some of the concepts and vocabulary behind them.
Presented on Wednesday, August 18th to the Women Business Owners Special Interest Group of the Nashville Area Chamber of Commerce.
Cassie Lancellotti-Young discusses key startup metrics for evaluating marketing performance including acquisition, activation, retention, referral, and revenue. She emphasizes the importance of granular user data and tracking metrics across email, website, and revenue to understand the customer journey. Highlighting lessons from her experience, she stresses the value of optimization, testing assumptions, and focusing on the core user experience to drive engagement and growth.
This document summarizes common analytic mistakes made in business intelligence projects. It discusses mistakes such as not asking the right questions, focusing on past metrics rather than future needs, misunderstanding metrics and their methodology, bottlenecking the value of analytics to the organization, overvaluing data visualization, compromising data through consensus, confusing insight with the ability to take action, and more. The document provides examples and recommendations to avoid these common mistakes in analytics projects.
In this informative presentation, Maria Harrison will take you through the good, the bad and the ugly of interactive metrics. Interactive marketing is a double-edged sword when it comes to metrics.
Just because everything can be counted, doesnât mean itâs important in making business decisions that will help you have a positive impact on your interactive marketing initiatives.
Ms. Harrison will show you how simplistic interactive metrics can really be, how to set benchmarks, and develop meaningful executive dashboards that will help you make the right decisions to improve your interactive marketing efforts. She will define some basic interactive metric terms and teach you how to immediately apply those metrics to your business.
Donât drown yourself in data- align your analytics to your marketing plan and get the information you need to make educated decisions on what to improve on your website and internet marketing.
This document provides an agenda and overview for a social media analytics workshop at SXSW 2013. The workshop will provide insights into how companies measure ROI from social media activities, best practices for analysis, examples of metrics used to measure success on social media channels and campaigns, and overviews of tools and approaches used. The agenda includes sessions on measuring ROI, analysis best practices, choosing social networks, channel metrics, campaign metrics, data visualization, and ROI analysis. Introductions of the speakers are also provided.
This document provides guidance on setting up analytics for a startup to understand user behavior and business metrics. It recommends beginning with high-level business metrics like growth and churn rates before analyzing lower-level usage data. Google Analytics is suggested to start tracking events and user behavior. Funnel analysis and A/B testing can help identify where users drop off and test improvements. Cohort analysis of retention rates over time helps evaluate user engagement and churn. The goal is to use analytics to answer questions that influence key business metrics.
This document summarizes key points from an internet marketing practices course. It discusses techniques for acquiring website visitors through search engine optimization, social media, and paid advertising. It also covers best practices for converting visitors to customers through usability, affordance, and natural mapping principles. Retaining customers is discussed through customer service, personalization, loyalty programs and email marketing best practices. Metrics like conversion rates and their improvement are also covered.
Landing Page Optimization, What is Landing Page Optimization, Examples, 5-second Testing, Fogg Behavior, AIDA Model, Marketing Models, LPO Checklist, Limbic System, Types of Landing Page Optimization, Five Second Test
The document summarizes key concepts from the book "Lean Analytics" by Ben Yoskovitz. It discusses how analytics is the measurement of progress towards business goals and outlines important characteristics of good metrics like being understandable, comparable, and behavior changing. It also describes the lean analytics cycle of finding potential improvements, designing tests to validate hypotheses, measuring results, and iterating. Finally, it discusses different stages of business like empathy, stickiness, virality and revenue that companies need to progress through.
Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)
This document provides an introduction to Lean Analytics for intrapreneurs. It begins with two key lessons: companies die when they fail to adopt new business models, and the difference between a rogue agent and special operative is permission. It then discusses Lean Analytics fundamentals like good metrics being understandable, comparative, ratios or rates, and behavior changing. It covers qualitative vs quantitative data, exploratory vs reporting analytics, and examples of leading metrics. The document emphasizes focusing on one metric that matters for a given business model and stage. It provides examples of analytics baselines for growth, engagement, churn, and calculating customer lifetime value.
Lean Analytics for Intrapreneurs by Allistair Croll
This document provides an introduction to Lean Analytics for intrapreneurs. It begins with two key lessons: companies die when they fail to adopt new business models, and the difference between a rogue agent and special operative is permission. It then discusses Lean Analytics fundamentals like good metrics being understandable, comparative, ratios or rates, and behavior changing. It covers qualitative vs quantitative data, exploratory vs reporting analytics, and examples of leading metrics. The document emphasizes focusing on one key metric per business stage and provides examples of common metrics for different business models and stages.
This is not your everyday data talk.
Through working deep inside the fastest growing SaaS startups in our space, weâve studied the patterns, methods, and models for driving outsized results. The one common thread? How they use their data.
(How else would you grow from one marketer through to a $60M+ Series B just 12 months later?)
How do they make their data accessible, draw the right insights, set effective goals, prioritise and optimise processes, and automate ALL the (right) things.
So brace yourselves: weâre going to be navigating through AI, automation, âmoving the needleâ, and a minefield of other buzzwords to try to make sense of using your data for growth. But youâll leave this talk with a simple framework and set of questions you can take and use right away.
Slides from New Media Manitoba Lean Analytics workshop, June 2015
The document provides an introduction to lean analytics for startups. It discusses how analytics can help iterate products to achieve market fit before running out of money. It emphasizes that good metrics are understandable, comparative, ratios or rates, and behavior changing. The document also covers key analytics concepts like cohorts, correlation vs causation, lagging vs leading indicators, and keeping analytics KISS (Keep It Simple, Stupid).
PrÊsentation fait au Web à QuÊbec. Comment utiliser les donnÊes met metriques pour croitre votre startup plus rapidement, avec des leçons pour entreprises de toutes grandeurs. Version franglais; le plupart des slides sont traduis. Veuillez excuser les erreurs; le français n'est pas ma langue maternelle.
Closing keynote for the Web A Quebec conference in Quebec City. Looks at how to use data to build a better business faster, for organizations of all sizes.
Lean Analytics and Local Government - Alistair Croll - Code for America
The document summarizes a presentation by Alistair Croll on using lean analytics for local government projects. Some key points from the presentation include:
- Most government projects have an attention or connectivity problem, which is where innovating will spend most time.
- Lean analytics lessons include choosing one metric to rally around and rejecting vanity metrics, as well as designing experiments to test hypotheses around potential improvements.
- The lean analytics cycle involves picking a key metric, finding areas for potential improvement, designing a hypothesis-driven experiment, making changes, and iterating based on results.
The document discusses key metrics for different types of digital businesses. It provides examples of metrics that matter for businesses involving e-commerce, two-sided markets, mobile apps, SaaS, user-generated content, and media. Examples include customer acquisition cost, customer lifetime value, engagement, downloads and churn for mobile apps, paid enrollment rates for SaaS, and time on site for user-generated content businesses. It emphasizes focusing on one metric that matters rather than many metrics.
The document provides an overview of lean analytics and the lean analytics framework. It discusses using data to build a better business faster and emphasizes measuring movement towards business goals. Key aspects of lean analytics discussed include identifying the right metrics that are clear, comparable, tied to the business model, and actionable. The document also covers topics like causality, cohorts, segmentation, A/B testing, and using the right metrics to iterate a product to fit the market.
This is the keynote presentation on Lean Analytics for the Web Analytics Congress (#wac13) from Amsterdam. It covers the basics of Lean Analytics, along with ways to effectively communicate the value of analytics to business managers and owners.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdf
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
UiPath Community Day KrakĂłw: Devs4Devs Conference
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below đđ
08:30 â Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel KamiĹski, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
MichaĹ CieĹlak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 â Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 đ Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil MiĹko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Transcript: Details of description part II: Describing images in practice - T...
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed âliveâ! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Best Practices for Effectively Running dbt in Airflow.pdf
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. Weâll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
Quality Patents: Patents That Stand the Test of Time
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⌿ What do we mean when we say patent quality?
⌿ Why is patent quality important?
⌿ How to balance quality and budget
⌿ The importance of searching, continuations, and draftsperson domain expertise
⌿ Very practical tips, tricks, examples, and Kristenâs Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
How RPA Help in the Transportation and Logistics Industry.pptx
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Support en anglais diffusĂŠ lors de l'ĂŠvĂŠnement 100% IA organisĂŠ dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- PrĂŠsentation de notre plateforme IA plug and play : ses fonctionnalitĂŠs avancĂŠes, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO dâ easybourse, partage son expĂŠrience dâutilisation de notre plateforme IA plug & play.
Advanced Techniques for Cyber Security Analysis and Anomaly Detection
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
There are seven key stages in a startupâs evolution from $0m to $50m in revenue. Understanding where you are in that evolution, and how to act at each stage is critical for success, as what is appropriate at one stage is not appropriate at another stage. David will lay out the roadmap, and detail the keys to success at each stage. The talk is aimed at technical/product founders plus their sales, marketing & product executives who are responsible for the go-to-market strategy for their company.
Lean Analytics for Startups and EnterprisesLean Analytics
Latest Lean Analytics workshop from the Lean Startup Week in San Francisco. Focusing on what metrics matter to both startups and big corporations. Incorporates elements of corporate innovation into the Lean Analytics framework to help bigger companies think through the data that really matters.
Growth hacking is a set of tactics and best practices used to optimize user growth and movement through the user lifecycle stages of acquisition, activation, retention, referral, and revenue. The document outlines Hotmail's viral growth strategy of adding "PS: I love you" messages to emails, discusses mapping the user journey and measuring conversions at each stage, and provides examples of growth hacking tactics like incentivizing referrals and optimizing landing pages through A/B testing.
The document provides tips and strategies for optimizing the user funnel, from acquiring first users to optimizing retention. It emphasizes testing optimizations through small experiments and using data to identify bottlenecks. Key recommendations include focusing first on learning rather than the funnel, using blogs and social media to acquire early users, and segmenting users to improve activation, onboarding and retention.
The document discusses buyer-centric funnel design. It emphasizes the importance of understanding where buyers are in their journey - awareness, consideration, or purchase. It recommends designing different experiences for each stage, with content that addresses buyer questions and concerns rather than just selling. The document also discusses identifying buyer personas, mapping their purchase process to the vendor's funnel, analyzing friction points, and optimizing the funnel based on buyer motivations and decision criteria. It provides examples from companies like Salsify and Apollo that redesigned their trials based on this approach, removing steps and addressing buyer pain points, which increased conversion rates.
Lean analytics: Five lessons beyond the basicsLean Analytics
The document discusses Lean Analytics and how data can be used to build a better business faster. It provides an overview of Lean principles and the stages of Lean Analytics - Empathy, Stickiness, Virality, Revenue, and Scale. It also discusses lessons like mining existing data, testing a new product daily, identifying local maxima, differences between startups and large companies, and building analytics into operations. The document advocates for an iterative process of generating hypotheses, designing tests, measuring results, and making production changes to continually learn and improve.
Growth hacking is a marketing technique used by startups that focuses on creativity, data analysis, and social metrics to gain customers and exposure. It involves rapidly testing ideas through prototypes and measuring results to iterate quickly. Some key aspects of growth hacking include having an awesome product, thinking creatively, understanding viral growth loops, seeking major changes not just improvements, and being prepared to fail many times. Successful growth hacking examples include LinkedIn allowing public profiles to boost search engine results, YouTube making it easy to embed videos, and Airbnb contacting people with listings on Craigslist. Qualities of a good growth hacker include problem-solving skills, ambition, understanding users, discipline, coding ability, and bravery in testing bold ideas.
The elusive hunt for finding product/market fit in your early startup is never easy. Here's some best practices from my own experiences founding & advising startups to bring discipline to that process.
Enjoyed this presentation? Subscribe to my weekly essays at http://www.sachinrekhi.com
Roadmapping the Product Roadmap (ProductCamp Boston 2016)ProductCamp Boston
Ask 10 people what a product roadmap is and you will get 10 different answers! This little artifact is an often misunderstood component of product development, but an incredibly important one to get right. Creating a great one is part art and part science. In this session we will talk through the real purpose of a roadmap and how it can be used to get the most out of your project and team. We'll unpack the key steps in the process and shed more light on the tools and frameworks that can be used to ensure a successful roadmapping effort. If all goes well we'll even get a chance to practice a bit so we can see what it means to actually translate this stuff into real-life scenarios.
About C. Todd Lombardo
C. Todd is a leader who wears many hats, all at once: Author, designer, scientist, professor, and visualizer. After originally beginning his career in science, C. Todd shifted his focus to product and design, ultimately innovating, designing, and managing products for countless companies large and small. A teacher and speaker at heart, he frequently speaks at conferences and has directed five TEDx events in two countries. C. Todd serves as Adjunct Faculty at IE Business School in Madrid, and co-authored the book "Design Sprint," published by O'Reilly. Not only is he a chemistry Ph.D. dropout, but he also founded ProductCamp Boston. Those two facts may or may not be related.
[500DISTRO] The Scientific Method: How to Design & Track Viral Growth Experim...500 Startups
The document discusses building a growth process for a company. It advocates focusing first on establishing a repeatable process for experimentation and growth, rather than individual tactics. The process involves setting goals, brainstorming growth ideas, prioritizing experiments, testing hypotheses through minimum viable tests, implementing experiments, analyzing results, and systematizing successful experiments. Establishing this type of process allows a company to continuously run experiments, learn, and scale growth over time through an organized and data-driven approach.
The document outlines Zac Hays' presentation on product strategy. It discusses the differences between vision, strategy, and roadmaps. It then provides an overview of BuildingConnected's strategy to first build a network through bid management, grow their SaaS business, and expand into new marketplaces. Finally, it outlines a 5-step process for defining a product strategy, including determining product-market fit, identifying defensive moats, selecting a strategic path, sequencing objectives, and stress testing the strategy.
Growth Hacking Fundamentals @ Echelon Jakarta (by Growth Hacking Asia)Growth Hacking Asia
The document provides an overview of growth hacking fundamentals. It begins by defining growth hacking as a process-driven approach focused on rapid experimentation to drive product growth, rather than just tactics or user acquisition. It discusses when growth hacking is most applicable and examples of common growth drivers like user acquisition, activation, referral, and retention. The document concludes by outlining the typical growth hacking process of identifying metrics to optimize, developing hypotheses, running experiments, analyzing results, and systematizing learnings.
30 Marketing growth hack cards taken from the recent blog posts of the smartest cookies in the industry. Crazy, sneaky, happy and weird marketing hacks.
Zero to 100 - Part 5: SaaS Business Model & MetricsDavid Skok
Zero to 100 is a learning program from David Skok. It is a detailed instruction manual for how to take your startup from zero to $100m, with a particular focus on the area of building a go-to-market machine. So many of todayâs founders come from a product or technical background, and have never been involved with sales and marketing. Right after starting their venture, they are hit with the huge problem of how to build their go-to-market organization and processes. It breaks the journey down into 9 steps, and explains why it is crucial not to skip steps in this journey in the rush to get ahead. The major emphasis of the course focuses on building a repeatable, scalable and profitable growth machine. Once you have that in place, you are ready to hit the gas and scale like crazy.
To see videos of the presentations, click here: https://www.forentrepreneurs.com/matrix-growth-academy-zero-to-100-videos/
Not just another buzzwordâŚproduct-led growth is an important go-to-market strategy that underpins some of todayâs most successful businesses. Think Dropbox, Slack, Intercom, Expensify and Datadog.
At OpenView, we define product-led growth (PLG) as a strategy that puts the product front and center when it comes to how a company acquires, expands and retains customers. Relying on a product-led strategy yields rapid, extremely efficient growth.
Although similar to a freemium approach, a product-led growth strategy doesnât actually require that you offer your product for free. It does however necessitate an amazing product and customer experience. In fact, PLG companies make it frictionless for users to start using their products. They deliver value extremely quickly and target users rather than buyers.
Slides from Growthcon 2014 Lean Analytics masterclassLean Analytics
This document discusses lean analytics and how startups can use data and metrics to iterate their products and business models. It provides examples of how companies like Hotmail, Flickr, and Twitter pivoted from their original ideas. The core of lean is continuous experimentation and iteration to find product-market fit through analytics. Good metrics should be understandable, comparative, and behavior changing. The document discusses frameworks like Eric Ries' three engines of growth - virality, price, and stickiness. It also provides examples of how companies empirically validated problems and solutions through low-cost experiments like Twitter polls and Mechanical Turk interviews.
This is the first SlideShare adaption of Timothy E. Johansson's 100 Growth Hacks in 100 Days. The growth hacks that's included in the slide are 1 to 10. Timothy is the front-end developer at UserApp (www.userapp.io).
User Story Mapping (USM) helps teams get a common understanding of requirements from the user's perspective to facilitate backlog creation. It improves backlog quality and team communication. USM creates a map with user stories arranged in a usage flow. Each story follows the "As a <user>, I want <goal> so that <benefit>" format. Together, the mapped stories provide an overview of a product from the user experience while maintaining granular stories for planning and testing.
How to use data to build a better business faster. Based on the book Lean Analytics, this presentation looks at startup metrics and offers a framework for deliberate growth and iterative improvement of a new business. It also includes examples from larger organizations trying to change from within.
Adobe User Group Amsterdam - Correlation between Innovation & Growth Hacking jeroentjepkema
My slides from my session at Adobe User Group Amsterdam 2015. Theme was "Hack your Growth" and a follow up of the Lean Analytics workshop from Alistair Croll at April 21st in Amsterdam. The talk is about why we need Growth Hacking to stimulate (corporate) innovation, from innovation dilemma, to lean analytics and various examples on growth hacking...
This document introduces the concepts of lean analytics and the lean analytics framework. It begins with an introduction to lean startup methodology and emphasizes the importance of testing hypotheses through minimum viable products and the build-measure-learn loop. It then discusses different types of metrics and introduces the lean analytics framework, which focuses on empathy, stickiness, virality, revenue, and scale. For each stage, it provides examples of relevant metrics for different business models. The framework is intended to help companies adopt a lean approach to analytics and product development.
Startup Metrics: The Data That Will Make or Break Your Business by Alistair C...Lean Startup Co.
If youâre being methodical about growth, analytics matters. For startups, analytics is about measuring the right metric, in the right way, to produce the change the business needs most at that point in time. Thatâs harder than it sounds: you need a solid understanding of your business model; an awareness of whatâs most at risk; and a clear idea of where to draw the line between success and failure. Metrics measure not only the health of your business, but also your journey to product/market fit; the value of your company; and the reliability of your underlying infrastructure. Join Lean Analytics co-author Alistair Croll for an all-day, in-depth look at analytics, measurement, and working with data. Weâll cover:
The five stages of growth every company goes through, and how they guide your choice of metrics
Six business-model archetypes and their unique measurement challenges
What âgood enoughâ looks like for fundamental metrics
How to think about cohorts, segments, percentiles, and histograms
Measuring and aggregating infrastructure KPIs such as latency and availability
Using the Lean Analytics cycle to improve through experimentation
This workshop is relevant for people working in standalone startups and for corporate entrepreneurs. It will combine presentations, case studies, and interactive discussion of the audienceâs specific measurement challenges. Attendees need not be technical but should come armed with a basic understanding of web analytics, business metrics, and their current business model, plus a willingness to share with one another.
Analytics, Search, Social Media, and Optimization: Why Has Marketing Gotten S...Kate O'Neill
From search and social media to analytics and optimization, marketing has really gotten geeky. It's nearly impossible to keep up, so what should business owners know about online marketing in order to make good decisions about their web presence? This presentation is both a broad overview of key web marketing disciplines as well as a quick dive into some of the concepts and vocabulary behind them.
Presented on Wednesday, August 18th to the Women Business Owners Special Interest Group of the Nashville Area Chamber of Commerce.
Growth Hacking with Cassie Lancellotti-YoungMattan Griffel
Cassie Lancellotti-Young discusses key startup metrics for evaluating marketing performance including acquisition, activation, retention, referral, and revenue. She emphasizes the importance of granular user data and tracking metrics across email, website, and revenue to understand the customer journey. Highlighting lessons from her experience, she stresses the value of optimization, testing assumptions, and focusing on the core user experience to drive engagement and growth.
This document summarizes common analytic mistakes made in business intelligence projects. It discusses mistakes such as not asking the right questions, focusing on past metrics rather than future needs, misunderstanding metrics and their methodology, bottlenecking the value of analytics to the organization, overvaluing data visualization, compromising data through consensus, confusing insight with the ability to take action, and more. The document provides examples and recommendations to avoid these common mistakes in analytics projects.
Interactive Metrics, What You Really Need to Knowharrisonm10
In this informative presentation, Maria Harrison will take you through the good, the bad and the ugly of interactive metrics. Interactive marketing is a double-edged sword when it comes to metrics.
Just because everything can be counted, doesnât mean itâs important in making business decisions that will help you have a positive impact on your interactive marketing initiatives.
Ms. Harrison will show you how simplistic interactive metrics can really be, how to set benchmarks, and develop meaningful executive dashboards that will help you make the right decisions to improve your interactive marketing efforts. She will define some basic interactive metric terms and teach you how to immediately apply those metrics to your business.
How To Use Analytics To Improve Your WebsiteCarole Mahoney
Donât drown yourself in data- align your analytics to your marketing plan and get the information you need to make educated decisions on what to improve on your website and internet marketing.
This document provides an agenda and overview for a social media analytics workshop at SXSW 2013. The workshop will provide insights into how companies measure ROI from social media activities, best practices for analysis, examples of metrics used to measure success on social media channels and campaigns, and overviews of tools and approaches used. The agenda includes sessions on measuring ROI, analysis best practices, choosing social networks, channel metrics, campaign metrics, data visualization, and ROI analysis. Introductions of the speakers are also provided.
This document provides guidance on setting up analytics for a startup to understand user behavior and business metrics. It recommends beginning with high-level business metrics like growth and churn rates before analyzing lower-level usage data. Google Analytics is suggested to start tracking events and user behavior. Funnel analysis and A/B testing can help identify where users drop off and test improvements. Cohort analysis of retention rates over time helps evaluate user engagement and churn. The goal is to use analytics to answer questions that influence key business metrics.
This document summarizes key points from an internet marketing practices course. It discusses techniques for acquiring website visitors through search engine optimization, social media, and paid advertising. It also covers best practices for converting visitors to customers through usability, affordance, and natural mapping principles. Retaining customers is discussed through customer service, personalization, loyalty programs and email marketing best practices. Metrics like conversion rates and their improvement are also covered.
Landing Page Optimization, What is Landing Page Optimization, Examples, 5-second Testing, Fogg Behavior, AIDA Model, Marketing Models, LPO Checklist, Limbic System, Types of Landing Page Optimization, Five Second Test
The document summarizes key concepts from the book "Lean Analytics" by Ben Yoskovitz. It discusses how analytics is the measurement of progress towards business goals and outlines important characteristics of good metrics like being understandable, comparable, and behavior changing. It also describes the lean analytics cycle of finding potential improvements, designing tests to validate hypotheses, measuring results, and iterating. Finally, it discusses different stages of business like empathy, stickiness, virality and revenue that companies need to progress through.
Lean Analytics for Intrapreneurs (Lean Startup Conf 2013)Lean Analytics
This document provides an introduction to Lean Analytics for intrapreneurs. It begins with two key lessons: companies die when they fail to adopt new business models, and the difference between a rogue agent and special operative is permission. It then discusses Lean Analytics fundamentals like good metrics being understandable, comparative, ratios or rates, and behavior changing. It covers qualitative vs quantitative data, exploratory vs reporting analytics, and examples of leading metrics. The document emphasizes focusing on one metric that matters for a given business model and stage. It provides examples of analytics baselines for growth, engagement, churn, and calculating customer lifetime value.
Lean Analytics for Intrapreneurs by Allistair CrollLean Startup Co.
This document provides an introduction to Lean Analytics for intrapreneurs. It begins with two key lessons: companies die when they fail to adopt new business models, and the difference between a rogue agent and special operative is permission. It then discusses Lean Analytics fundamentals like good metrics being understandable, comparative, ratios or rates, and behavior changing. It covers qualitative vs quantitative data, exploratory vs reporting analytics, and examples of leading metrics. The document emphasizes focusing on one key metric per business stage and provides examples of common metrics for different business models and stages.
This is not your everyday data talk.
Through working deep inside the fastest growing SaaS startups in our space, weâve studied the patterns, methods, and models for driving outsized results. The one common thread? How they use their data.
(How else would you grow from one marketer through to a $60M+ Series B just 12 months later?)
How do they make their data accessible, draw the right insights, set effective goals, prioritise and optimise processes, and automate ALL the (right) things.
So brace yourselves: weâre going to be navigating through AI, automation, âmoving the needleâ, and a minefield of other buzzwords to try to make sense of using your data for growth. But youâll leave this talk with a simple framework and set of questions you can take and use right away.
Similar to Lean Analytics workshop (from Lean Startup Conf) (20)
Slides from New Media Manitoba Lean Analytics workshop, June 2015Lean Analytics
The document provides an introduction to lean analytics for startups. It discusses how analytics can help iterate products to achieve market fit before running out of money. It emphasizes that good metrics are understandable, comparative, ratios or rates, and behavior changing. The document also covers key analytics concepts like cohorts, correlation vs causation, lagging vs leading indicators, and keeping analytics KISS (Keep It Simple, Stupid).
Lean analytics from Web A Quebec mars 2014Lean Analytics
PrÊsentation fait au Web à QuÊbec. Comment utiliser les donnÊes met metriques pour croitre votre startup plus rapidement, avec des leçons pour entreprises de toutes grandeurs. Version franglais; le plupart des slides sont traduis. Veuillez excuser les erreurs; le français n'est pas ma langue maternelle.
Closing keynote for the Web A Quebec conference in Quebec City. Looks at how to use data to build a better business faster, for organizations of all sizes.
Lean Analytics and Local Government - Alistair Croll - Code for AmericaLean Analytics
The document summarizes a presentation by Alistair Croll on using lean analytics for local government projects. Some key points from the presentation include:
- Most government projects have an attention or connectivity problem, which is where innovating will spend most time.
- Lean analytics lessons include choosing one metric to rally around and rejecting vanity metrics, as well as designing experiments to test hypotheses around potential improvements.
- The lean analytics cycle involves picking a key metric, finding areas for potential improvement, designing a hypothesis-driven experiment, making changes, and iterating based on results.
The document discusses key metrics for different types of digital businesses. It provides examples of metrics that matter for businesses involving e-commerce, two-sided markets, mobile apps, SaaS, user-generated content, and media. Examples include customer acquisition cost, customer lifetime value, engagement, downloads and churn for mobile apps, paid enrollment rates for SaaS, and time on site for user-generated content businesses. It emphasizes focusing on one metric that matters rather than many metrics.
The document provides an overview of lean analytics and the lean analytics framework. It discusses using data to build a better business faster and emphasizes measuring movement towards business goals. Key aspects of lean analytics discussed include identifying the right metrics that are clear, comparable, tied to the business model, and actionable. The document also covers topics like causality, cohorts, segmentation, A/B testing, and using the right metrics to iterate a product to fit the market.
Making Sense of the Numbers (Lean Analytics)Lean Analytics
This is the keynote presentation on Lean Analytics for the Web Analytics Congress (#wac13) from Amsterdam. It covers the basics of Lean Analytics, along with ways to effectively communicate the value of analytics to business managers and owners.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
UiPath Community Day KrakĂłw: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below đđ
08:30 â Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel KamiĹski, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
MichaĹ CieĹlak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 â Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 đ Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil MiĹko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed âliveâ! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Best Practices for Effectively Running dbt in Airflow.pdfTatiana Al-Chueyr
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. Weâll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⌿ What do we mean when we say patent quality?
⌿ Why is patent quality important?
⌿ How to balance quality and budget
⌿ The importance of searching, continuations, and draftsperson domain expertise
⌿ Very practical tips, tricks, examples, and Kristenâs Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Support en anglais diffusĂŠ lors de l'ĂŠvĂŠnement 100% IA organisĂŠ dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- PrĂŠsentation de notre plateforme IA plug and play : ses fonctionnalitĂŠs avancĂŠes, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO dâ easybourse, partage son expĂŠrience dâutilisation de notre plateforme IA plug & play.
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
10. Most startups donât know what theyâll be
when they grow up.
Freshbooks Mitel
was invoicing Wikipedia was a
Paypal
for a web was to be lawnmower
ďŹrst built for company
design ďŹrm written by
Palmpilots experts only
Flickr
Hotmail Twitter Autodesk
was going to
was a was a made desktop
be an MMO
database podcasting automation
company company
11. Kevin Costner is a lousy entrepreneur.
Donât sell what you can make.
Make what you can sell.
13. Analytics is the measurement
of movement towards your
business goals.
http://www.ďŹickr.com/photos/itsgreg/446061432/
14. Analytics, TL;DR
ATTENTION ACTIVATION RETENTION REVENUE
CONVERSION
NEW
RATE
VISITORS
GROWTH PAGES x
SEARCHES PER
VISIT RETURNS GOAL VALUE
TWEETS NUMBER
CONTENT
MENTIONS OF VISITS
TIME ETC.
ADS SEEN ON WORD OF
LOSS SITE MOUTH
BOUNCE
RATE REFERRAL
15. In a startup, the purpose of
analytics is to iterate to a
product/market ďŹt before
the money runs out.
17. What makes a good metric?
⢠Itâs comparable to another time period, group, competitor, etc.
⢠Itâs understandable in a way the target audience will understand
⢠Itâs a ratio or rate
⢠Which means itâs easier to act on (acquisition cost per customer)
⢠It allows you to represent the tension between two things (ads shown versus
bounce rate, for example)
⢠Itâs targeted to the right audience (Internal business, developers, marketers,
investors, media)
⢠It changes the way you behave
⢠âAccountingâ metrics make your predictions more accurate
⢠âExperimentalâ metrics make your future behavior more effective
18. Think about a car
⢠You know 60MPH is twice as fast as 30MPH
⢠In a country, speed limits and mileage are well understood
⢠Kilometers are conveniently decimal; miles map to hours
⢠Miles travelled is good; miles per hour is better; accelerating or decelerating
changes your gas pedal
⢠You can measure âMPH divided by speeding ticketsâ as a metric of âdriving fast
without losing my licenseâ
19. Vanity metrics
A metric from the early, foolish days of the Web. If you have a site with many objects on
Hits it, this will be a big number. Count people instead.
Only slightly better than hits, since it counts the number of times someone requests a
Page views page. Unless youâre displaying ad inventory you should count people instead.
Is this one person visiting a hundred times, or are a hundred people visiting once? Fail.
Visits
The only thing this shows you is how many people saw your home page. It tells you
Unique visitors nothing about what they did, why they stuck around, or if they left.
Counting followers rather than actions is a bad idea. Once you know how many
Followers/friends/likes followers will do your bidding when asked, youâve got something.
Time on site, or pages Poor substitute for actual engagement or activity. If customers spend a lot of time on
per visit your support or complaints pages, that could be a bad thing.
Until you know how many will open your mails (and act on whatâs inside them) this isnât
Emails collected useful. Test some of them and see.
While it sometimes affects your place in app stores and rankings, downloads alone
Number of downloads donât lead to lifetime value. Measure activations, account creations, or something else.
20. 5 essential dimensions in analytics
Qualitative Quantitative
Unstructured, anecdotal, revealing, hard to Numbers and stats; hard facts but less insight.
aggregate.
Vanity Actionable
Make you feel good, but donât change how youâll Change your behavior by helping you pick a
act. course of action.
Exploratory Reporting
Speculative, trying to ďŹnd unexpected or interesting Predictable, keeping you abreast of normal,
insights. managerial operations.
Leading Lagging
Number today that shows metric tomorrowâ Historical metric that shows how youâre doingâ
makes the news reports the news
Correlated Causal
Two variables that change in similar ways , perhaps An independent factor that directly impacts a
because theyâre linked to something else dependent one
21. Donald Rumsfeld on analytics
Are facts which may be wrong and
we know should be checked against data.
know
we donât Are questions we can answer by
reporting, which we should baseline
know & automate.
Things we
Are intuition which we should
we know quantify and teach to improve
donât effectiveness, efďŹciency.
know
we donât Are exploration which is where
unfair advantage and interesting
know epiphanies live.
(Or rather, Avinash Kaushik channeling Rumsfeld)
22. Segments, cohorts, A/B, and multivariates
Cohort:
Comparison of
similar groups
along a timeline.
Segment: A/B test: â Multivariate
Cross-sectional â Changing one analysis
comparison of all thing (i.e. color)
â Changing several
people divided by and measuring â things at once to
some attribute
â the result (i.e. see which correlates
â
(age, gender, etc.) revenue.) with a result.
23. Why use cohorts? Hereâs an example.
Averages January February March April May
hide the
pattern Rev/customer CA$5.00 CA$4.50 CA$4.33 CA$4.25 CA$4.50
Cohort 1 2 3 4 5
Cohorts
show the January CA$5 CA$3 CA$2 CA$1 CA$0.5
revenue
drop as February CA$6 CA$4 CA$2 CA$1
customers
age March CA$7 CA$6 CA$5
April CA$8 CA$7
May CA$9
Averages CA$7 CA$5 CA$3 CA$1 CA$0.5
24. A few words on causality
http://www.ďŹickr.com/photos/roryďŹnneren/65729247
39. The right information
in the right place
at the right time
just changes your life.
Stewart Brand
40. Two dimensions show you
the One Metric That Matters
E- 2-sided Mobile User-gen
SaaS Media
commerce market app content
Business model
Empathy
Stickiness
Stage
Virality
Revenue
Scale
41. An example you might not
have expected.
⢠Stage: Revenue
⢠Model: Retailer
⢠Solare is an Italian ďŹne-dining restaurant under new management. The new team
is trying to identify the key metrics and leading indicators
42. Solare watches the numbers
⢠One Metric That Matters: Gross Revenue to Labor Cost
⢠Under 30% is good
⢠Below 24% is great
⢠Lower than 20% and you may be under-stafďŹng, leading to dissatisďŹed
customers
⢠A leading indicator to optimize: Total covers is 5x reservations at 5PM
⢠If you have 50 reservations at 5, youâll have 250 covers that night.
⢠This ratio varies by restaurant.
⢠If the reservations cause the covers, then focusing on more reservations will
grow the business. How would they test this?
44. Dave McClureâs Pirate metrics
How do your users become aware of you?
Acquisition
AARRR
SEO, SEM, widgets, email, PR, campaigns, blogs ...
Do drive-by visitors subscribe, use, etc?
Activation Features, design, tone, compensation, afďŹrmation ...
Does a one-time user become engaged?
Retention NotiďŹcations, alerts, reminders, emails, updates...
Do you make money from user activity?
Revenue Transactions, clicks, subscriptions, DLC, analytics...
Do users promote your product?
Referral Email, widgets, campaigns, likes, RTs, afďŹliates...
45. Eric Riesâ
Three engines
Stickiness Virality Price
Approach Keep people Make people Spend revenue
coming back invite friends getting customers
Math that Get customers How many they Customers are
matters faster than you tell, how fast worth more than
lose them they tell them they cost to get
46. Long Funnel
⢠Inject signal at the top
⢠Measure results at the bottom
⢠Includes multi-channel interactions
49. Ash Mauryaâs
Lean canvas
Lean Canvas box Some relevant metrics
Respondents who have this need; respondents who are aware of having
Problem the need.
Respondents who try the MVP; engagement; churn; most-used/least-
Solution used features; people willing to pay.
Feedback scores; independent ratings; sentiment analysis; customer-
Unique Value Proposition worded descriptions; surveys; search and competitive analysis.
How easy it is to ďŹnd groups of prospects; unique keyword segments;
Customer Segments targeted funnel trafďŹc from a particular source.
Leads/cust per channel; viral coefďŹcient and cycle; net promoter score;
Channels afďŹliate margins; open, click-through rate; PageRank; message reach.
Respondentsâ understanding of the USP; patents; brand equity; barriers
Unfair Advantage to entry; number of new entrants; exclusivity of relationships.
Lifetime customer value; Average revenue per user; Conversion rate;
Revenue Streams Shopping cart size; Click-through rate.
Fixed costs; cost of customer acquisition; cost of servicing the nth
Cost Structure customer; support costs; keyword costs.
50. Sean Ellisâ
Startup growth pyramid
Step on the gas in
Scale new markets,
growth products, channels.
Find a defensible
Stack the odds unfair advantage
and tweak it.
Decide what you
Product/market ďŹt sell to whom, then
prove it.
54. Business model ďŹipbook
Revenue model: How you take money from someone
Product type: What you give them in return Together, these
Delivery model: How you get it to them make up a
Acquisition channel: How they learn about you business model
Selling tactic: How you convince them to buy
55. Paid advertising Banner on Informationweek.com
Search Engine Mgmt. High pagerank for ELC in kidâs toys
Acquisition Social media outreach Active on Twitter i.e. Kissmetrics
channel
How the visitor, Inherent virality Inviting team member to Asana
customer, or user ďŹnds
out about the startup. ArtiďŹcial virality Rewarding Dropbox user for othersâ signups
AfďŹliate marketing Sharing a % of sales with a referring blogger
Public relations Speaker submission to SXSW
App/ecosystem mkt. Placement in the Android market
Simple purchase Buying a PC on Dell.com
What the startup does Discounts & incentives Black Friday discount, loss leader, free ship
Selling
tactic
to convince the visitor Free trial Time-limited trial such as ďŹtbit Premium
or user to become a Freemium Free tier, relying on upgrades, like Evernote
paying customer.
Pay for privacy Free account content is public, like Slideshare
Free-to-play Monetize in-app purchases, like Airmech
One-time transaction Single purchase from Fab
How the startup Recurring subscription Monthly charge from Freshbooks
Revenue
model
extracts money from its Consumption charges Compute cycles from Rackspace
visitors, users, or
Advertising clicks PPC revenue on CNET.com
customers.
Re-sale of user data Twitterâs ďŹrehose license
Donation Wikipediaâs annual campaign
Software Oracleâs accounting suite
What the startup does Platform Amazonâs EC2 cloud
in return. May be a
Product
Merchandising Thinkgeekâs retail store
type
product or service; may
be hardware or User-generated content Facebookâs status update
software; may be a Marketplace AirBnBâs list of house rentals
mixture. Media/content CNNâs news page
Service A hairstylist
Delivery
Hosted service Salesforce.comâs CRM
model
How the product gets Digital delivery Valve purchase of desktop game
to the customer. Physical delivery Knife shipped from Sur La Table
56. Business Flipbook
Dropbox example
aspect page(s)
Acquisition Inherent virality. Sharing ďŹles with others.
channel ArtiďŹcial virality. Free storage when others sign up.
Selling Limited-capacity accounts are free;
Freemium.
tactic subscribe when you need more.
Revenue Recurring $99/year, monthly fees, enterprise
model subscription. tiers.
Product Storage-as-a-service with APIs,
Platform.
type collaboration, synchronization tools.
Delivery Hosted service. Cloud storage, web interface.
model Digital delivery. Desktop client software.
57. E-commerce
TL;DR:
⢠Are you focused on loyalty or acquisition?
⢠Pricing matters more than you think
⢠Donât overlook logistics, delays, and ratings
⢠Old âaverage conversion ratesâ
58. Loyalty or acquisition?
How many of
your customers Then you are in Your customers You are just
Focus on
buy a second this mode will buy from you like
time in 90 days?
Low CAC,
1-15% Acquisition Once 70% high
of retailers checkout
15-30% Hybrid 2-2.5 20% Increasing
per year of retailers returns
Loyalty,
>30% Loyalty >2.5 10% inventory
per year of retailers expansion
(Thanks to Kevin Hilstrom for this.)
59. Pricing has a huge impact
http://hbr.org/1992/09/managing-price-gaining-proďŹt/ar/8
60. Donât forget the real world
Shipping time, stock availability,
logistics, ratings, and other factors
have a real impact on most e-
commerce companies.
61. E-commerce model:
WineExpress increases
revenues
⢠Stage: Revenue
⢠Model: E-commerce
⢠Exclusive wine shop partner of the Wine Enthusiast catalog and website.
⢠âWine of the dayâ page is highly trafďŹcked, needed optimization
63. WineExpress: before and after
⢠Tested 3 design variations, primarily focused on layout
⢠One version was a clear winner
⢠Conversion went up for a heavily discounted shipping promotion
⢠Real key was a 41% increase in revenue per visitor
64. Software-as-a-Service
TL;DR:
⢠Eventually, focus on Customer Acquisition Payback
⢠Engagement varies by intended use of the app (i.e. CRM versus travel booking)
⢠Credit cards up front have a huge effect
⢠Freemium is a sales tactic, not a business model
⢠Churn, acquisition cost, and lifetime value
⢠Subscriptions may be a bad thing (per-transaction pricing is an option too.)
65. Some sample churn calculations
⢠Active users have logged in at least once in the month after signing up
⢠New users are growing at 20% a month
⢠30% use the service at least once (in the month after signing up)
⢠2% convert into paid customers
⢠Example churn calculation for February
⢠Lost / Starting with (Paying Users) * 100
⢠26 / 1035 * 100 = 2.5%
⢠If 2.5% of customers churn every month, it means that the average customer
stays around for 40 months (100 / 2.5).
⢠This is how you can start to calculate the Lifetime Value of a customer (40
months * Cost of the Service.)
66. SaaS model:
Backupifyâs customer
lifecycle
⢠Stage: Scale
⢠Model: SaaS
⢠Leading backup provider for cloud based data.
⢠The company was founded in 2008 by Robert May and Vik Chadha
⢠Has gone on to raise $19.5M in several rounds of ďŹnancing.
67. Shifting to Customer Acquisition
Payback as a key metric
⢠Initially focused on site visitors
⢠Then focused on trials
⢠Then switched to signups
⢠Today, MRR
⢠In early 2010, CAC was $243 and ARPU was only $39
⢠Pivoted to target business users
⢠CLV-to-CAC today is 5-6x
⢠Now they track Customer Acquisition Payback
⢠Target is less than 12 months
69. Not all churn is equal
âTrack churn at 1 day, 1 week and 1 month, because users
leave at different times for different reasons. After one day it
could be you have a lousy tutorial or just arenât hooking
users. After a week it could be that your game isnât âdeep
enough,â and after a month it could be poor update
planning.â
Keith Katz, co-founder of Execution Labs
and former VP of Monetization for OpenFeint
(Knowing when users churn gives you an indication of why theyâre churning and
what you can try in order to keep them longer.)
70. Mobile app model:
Localmind hacks Twitter
⢠Stage: Empathy
⢠Model: UGC/mobile
⢠Real-time question and answer platform tied to locations.
⢠Needed to ďŹnd out if a core behaviorâanswering questions about a placeâ
happened enough to make the business real
71. Localmind hacks Twitter
⢠Before writing a line of code, Localmind was concerned that people would never
answer questions.
⢠This was their biggest risk: if questions went unanswered users would have a
terrible experience and stop using Localmind.
⢠Ran an experiment on Twitter
⢠Tracked geolocated tweets in Times Square
⢠Sent @ messages to people who had just tweeted, asking questions about
the area: how busy is it; is the subway running on time; is something open;
etc.
⢠The response rate to their tweeted questions was very high.
⢠Good enough proxy to de-risk the solution, and convince the team and
investors that it was worth building Localmind.
73. Paywalls and baselines
⢠Paywalls might work
if done right. Juryâs
still out.
⢠A June, 2012 study by the Advertising Research Foundation conducted across a
half-million ad impressions showed that blank ads bearing no information had a
click-through rate of roughly 0.08%âcomparable to that of some paid
campaigns.
74. Media model:
Just For Laughs and
Youtube
⢠Stage: Revenue
⢠Model: Media
⢠Gags program launched in 2000 shows visual pranks with no words, licensed
widely through traditional TV channels. Recently, the organization learned about
its popularity on YouTube and decided to invest time in a channel.
75. Just for Laughs Gags
⢠Had been a YouTube partner since 2009, but intended to build its own site
⢠Noticed some unauthorized activity online, so chose to bulk upload 2,000 2-
minute prank clips.
⢠Experimented with overlay, pre- and post-roll ads. Short format meant intro video
clips drove people away.
⢠10-15 second intro resulted in a 30% drop-off.
⢠Tested longer versus short-form videos
⢠In 24h, both long- and short-form clips got 30-40K views.
⢠Long-form clip had 5x that of a short clipâbut a long clip had 12 short ones,
so overall the long one pays less.
⢠Long-form video has a longer viewing tail.
⢠Long-form has intro, so thereâs a 40% audience drop-off halfway into an
episode, versus a 15% drop-off halfway into a single short video.
76. Just for Laughs Gags
⢠Big growth in UGC since the focus on YouTube
⢠Could have done a DCMA takedown but decided to monetize instead
⢠Less lucrative than on-channel content, but volume makes up for it
⢠100,000 user-generated videos generate 40-50% of total monthly views
⢠2h mash-ups can get millions of views
⢠Today, JFL tries to learn from and emulate what users show them is working
77. User-generated content
TL;DR:
⢠Content virality and user virality
⢠Trying to move users up the engagement funnel
⢠More time on fraud than you expect
⢠NotiďŹcations and email are the real user interface
⢠Passive content creation is on the horizon
79. NotiďŹcations are the real UI
â⌠notiďŹcations become the primary way I use the
phone and the apps. I rarely open twitter directly. I see that
I have â10 new @mentionsâ and I click on the notiďŹcation
and go to twitter @mention tab. I see that I have â20 new
checkinsâ and I click on the notiďŹcation and go to the
foursquare friends tabâŚâ
- Fred Wilson
⢠Allows use of many more engagement apps on my phone without them being on
the main page
⢠Have as many communications apps as I want. Donât need to use the apps, just
the notiďŹcation inbox
⢠NotiďŹcation inbox is the new home screen
80. UGC model:
Reddit goes from links to
community
⢠Stage: Virality
⢠Model: UGC
⢠A graduate of the ďŹrst YCombinator class, reddit was acquired by Conde Nast
but left largely to its own devices. Thanks to a vibrant community and some
good guidance by its founders, itâs a trafďŹc powerhouse.
81. Reddit goes from links to community
⢠Product evolution
⢠Started as a simple link-sharing site with voting
⢠Then added the ability to comment, with votes on comments
⢠Then created the ability to make âself-postsâ rather than only comment on off-
site trafďŹc
⢠Now self-posts are more than half of all posts
⢠Revenue from ads and âreddit goldâ
⢠Started as a joke, but turned into a revenue source
⢠One person paid $1000 for a month; some paid $0.01. Avg. around $4.
⢠Paying users get early access to features, since theyâre an engaged beta
⢠Spam is a big issue
⢠Human ďŹagging isnât good enough
⢠50% of the companyâs development time is devoted to beating spammers
⢠Having a 7y âtraining setâ helps them develop and test better algorithms
83. Plenty of examples
⢠Real estate listing services
⢠Crowdfunders like Indiegogo and Kickstarter
⢠Charities like Donors Choose
⢠Seller markets like eBay, Craigslist, and Etsy
⢠App stores
⢠Dating sites
⢠Excess inventory travel like Hotwire and Priceline
⢠They all:
⢠Include a shared inventory model
⢠Have two stakeholdersâbuyers and sellers; creators and supporters;
prospective partners; or hotels and travellers
⢠Make money when the two stakeholders come together
⢠Differentiate based on a particular set of search parameters or
qualiďŹcations (apartments that have been vetted; seller ratings.)
⢠Need an inventory to get started
84. Chickens and eggs
Seed the buyer side: demand Seed the seller side: artiďŹcial
creation inventory
⢠When Uber launched in Seattle, it ⢠Amazon started selling books; then
paid drivers $30 an hour to drive broadened its offering; then launched
passengers around a marketplace for goods from many
⢠Only switched to a commission other suppliers.
model once they had enough ⢠They created inventory; then
demand to make it worthwhile for the demand; and then a two-sided
drivers. marketplace.
⢠Knew when to switch by: ⢠Knew when to switch by:
Measuring how much drivers would Measuring loyal buyers; identifying
be making on a commission basis, unmet search needs and pent-up
as well as the inventory and the time demand.
it took a driver to pick up a customer.
85. 2-sided market model:
AirBnB and photography
⢠Stage: Revenue
⢠Model: 2-sided marketplace
⢠Rental-by-owner marketplace that allows property owners to list and market
their houses. Offers a variety of related services as well.
86. AirBnB tests a hypothesis
⢠The hypothesis: âHosts with professional photography will get more business.
And hosts will sign up for professional photography as a service.â
⢠Built a concierge MVP
⢠Found that professionally photographed listings got 2-3x more bookings than the
market average.
⢠In mid-to-late 2011, AirBnB had 20 photographers in the ďŹeld taking pictures for
hosts.
87. NIGHTS BOOKED
10 million
8 million
6 million
20 photographers
4 million
2 million
2008 2009 2010 2011 2012
90. Lifecycle stage
Discover a known need within a sizeable market
Identify a solution reachable people will pay for
Develop and validate a viable product to sell proďŹtably
Create a sustainable business model
Attract and appease investors
Find a successful exit
91. Where is the risk?
Real need? Key: Empathy
Right solution?
Key: Stickiness
Key: Growth rate
Good product?
Key: Virality
Sustainable biz?
Key: Revenue
Healthy market?
Successful exit? Key: Scale
92. Lean Analytics âGateâ needed! Key metrics for
this stage! Rationale!
stage! to move forward!
Iâve found a real, poorly-met Qualitative responses
need a reachable market Identifying a real problem and a real solution is
Meetings held
Empathy
faces.
The cheapest thing to do (since itâs just the
Scored qualitative
price of coffee.) It also addresses the riskiest
Iâve ďŹgured out how to solve Surveys, bulk feedback
questionâwill anyone care? It comes ďŹrst.
the problem in a way they
will adopt and pay for.
Signup rates
Will the dogs eat the dog food? Make your
Activation on invite/beta
Stickiness
mistakes with a small, friendly audience you
MVP adoption
can love and nurture before throwing the
Iâve built the right product/
features/functionality that Retention, churn
unwashed masses at it.
keeps users around.
Message open rates
Inherent sharing
Sharing helps grow, but also veriďŹes that what
Virality
youâve made is good. Word of mouth is
Growth rate
Viral coefďŹcient/cycle time
endorsement. And virality is a âforce
The users and features fuel
growth organically and Word of Mouth sharing
multiplierâ for paid customer acquisition.
artiďŹcially.
Key goal conversion rates
Will people open their pocketbooks? And can
Customer lifetime value
you charge them enough to fund your
Revenue
Iâve found a sustainable, Customer acquisition cost
ongoing operations, plus your artiďŹcial
scalable business with the Margins
acquisition of users?
right margins in a healthy
ecosystem.
Access to employees
Access to capital
You need channels to amortize the cost of
Scale
Competition
sales and distribution. You need an
I can achieve a successful ecosystem to cross the âhole in the middleâ
exit for the right terms.
Visibility/SEO/SEM
from niche player to big company
Channel health
Exit!
93. Empathy
You need to get inside your target marketâs head. You need to know youâre solving
a problem people care about. This is really risky, so getting out of the building
makes a lot of sense. Few people would dispute this.
94. Signs youâve found a problem worth tackling
Good signs Bad signs
⢠They want to pay you right away ⢠Theyâre distracted
⢠Theyâre actively trying to (or have ⢠Their shoulders are slumped or
tried to) solve the problem in theyâre slouching in their chair (poor
question body language)
⢠They talk a lot and ask a lot of ⢠They talk a lot but itâs not about the
questions demonstrating a passion problem or the issues at-hand
for the problem (theyâre rambling)
⢠They lean forward and are animated
(positive body language)
95. How to avoid leading the witness
Avoid biased wording, preconceptions,
Donât tip your hand or a giveaway appearance. Word your
surveys carefully to be neutral.
Get them to purchase. Ask them to pay. Demand real introductions. Or ask them âhow
Make the question real many of your friends would say Xâ to avoid self-effacement
Ask âwhyâ several times. Leave lingering, uncomfortable pauses in the conversation
Keep digging and let them ďŹll them.
Have a colleague make notes of when they react, or of their body language.
Look for other clues
96. Creating an answers-at-scale campaign
⢠Know why youâre doing a survey in the ďŹrst place
Ask what existing Ask how customers Ask what kind of Test which tagline
brands come to try to ďŹnd a product money people or unique value
mind in an industry or service spend on a proposition
problem resonates best with
customers
Market alongside Help you plan Choose the
them? Address marketing Shape your pricing winning one, or
competitors? campaigns and strategy just take that as
Choose partners? choice of media advice
97. Creating an answers-at-scale campaign
⢠Know why youâre doing a survey in the ďŹrst place
⢠Design the survey Demographic QuantiďŹable Qualitative,
segmentation answers to your open-ended
questions research problem feedback
98. Creating an answers-at-scale campaign
⢠Know why youâre doing a survey in the ďŹrst place
⢠Design the survey
⢠Test it (youâll always have mistakes)
99. Creating an answers-at-scale campaign
⢠Know why youâre doing a survey in the ďŹrst place
⢠Design the survey
⢠Test it (youâll always have mistakes)
⢠Send it out
Via your NW To a paid list As an ad campaign
Beware of Give the solution or
Beware of Audience plea Name the problem
respondent bias, unique value
spamminess, low
misrepresentation
open rates
of the larger market âAre you a single âCanât sleep? Weâre âOur accounting
mom? Take this brief trying to ďŹx that, and software automatically
survey and help us want your input.â) ďŹnds tax breaks. Help
address a big us plan the product
challenge.â roadmap.â
100. Creating an answers-at-scale campaign
⢠Know why youâre doing a survey in the ďŹrst place
⢠Design the survey
⢠Test it (youâll always have mistakes)
⢠Send it out Were you able to capture the attention of the
market? Did they click on your ads and links?
Which ones worked best?
⢠Collect the results
Are you on the right track? What decisions can
you now make with the data youâve collected? By
⢠Analyze the data segment!
Will people try out your solution/product? How
many of your respondents were willing to be
contacted? How many agreed to join a forum
or a beta? How many asked for access in their
open-ended responses?
101. Empathy stage:
LikeBrightâs mechanical
turk
⢠Stage: Empathy
⢠Model: 2-sided marketplace
⢠Early stage startup in the dating space that joined TechStars Seattle in 2011
⢠Initially rejected, saying, âWe donât think you understand your customer well
enough.â
102. Talking to a hundred single women in a
day
⢠Used Mechanical Turk and Google Voice to speak with 100 single women; paid
$2. The interviews lasted typically around 10-15 minutes.
⢠Simple interview script with open-ended questions, since he was digging into the
problem validation stage of his startup.
⢠Founder Nick Soman: âI was amazed at the feedback I got. We were able to
speak with one hundred single women that met our criteria in four hours on
one evening.â
⢠Went back to TechStars and got accepted.
⢠LikeBrightâs website is now live with a 50% female user base, and recently raised
a round of funding.
⢠âSince that ďŹrst foray into interviewing customers, Iâve probably spoken with
over a thousand people through Mechanical Turk,â
103. How to score problem interviews
Teach the controversy
104. How to score problem interviews
⢠Did the interviewee successfully rank the problems you presented?
⢠Are they actively trying to solve the problems (or have they done so in the past)?
⢠Were they engaged and focused throughout the interview?
⢠Did they agree to a follow-up meeting or interview (to present your solution)?
⢠Did they offer to refer others to you for interviews?
⢠Did they offer to pay you immediately for the solution?
106. Stickiness
This comes from a good product. This is the same as the Eric Riesâ Stickiness
engine of growth. You need to ďŹnd out if you can build a solution to the problem
youâve discovered. Thereâs no point promoting something awful if your visitors will
bounce right off it in disgust. Companies like Color that attempted to scale
prematurely, without having proven stickiness, havenât fared well.
107. 1995 Hits
1997 Visits
1999 Visitors
2002 Conversions Who did you add? Where from? Why?
2010 Engagement What did they do? How did it beneďŹt?
Who did you lose? Why did they leave?
110. What time on page
can tell you about goals & behaviors
⢠People spend ~1m on a page
when theyâre engaged with it
⢠If a page has high trafďŹc and
low engagement, why are
people leaving:
⢠Did they come expecting
something else?
⢠Is the layout working?
⢠Is it simply a page that
isnât designed to keep
users for long?
⢠Show off your good stuff.
If a page has a high
engaged time but few
visitors, promote it.
(Thanks to Chartbeat for the analysis.)
111. More interesting when broken
down by business model
(Thanks to Chartbeat for the analysis.)
112. Days since last visit
1200 25000
Number of users
January February
1000
20000
800
15000
600
10000
400
5000
200
0 0
1 2 3 4 5 6 7 8 9 Disengaged
Days since last engagement
(>10 days)
113. Watch out for the dumb stuff
Thereâs a large number of ways to break an MVP
119. Virality
Once youâve got a product or service thatâs sticky, itâs time to use inherent viralityâ
word-of-mouth thatâs tied into the use of the product. That way, youâll test out your
acquisition and onboarding processes on visitors who are motivated to try you,
because you have an implied endorsement from an existing user. You can also
think of virality as a force multiplier for paid promotionâso you want to maximize
that multiplier before you start spending money on customer acquisition through
inorganic methods like advertising.
120. 3 kinds of virality
â˘
Inherent virality is built into the product, and happens as a function of use.
â˘
ArtiďŹcial virality is forced, and often built into a reward system.
â˘
Word of mouth virality is simply conversations generated by satisďŹed users.
122. Viral coefďŹcient
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125. Or simpler
x Viral - Churn & >
Users
coefďŹcient abandonment 1
126. How to calculate it
⢠First calculate the invitation rate, which is the number of invites sent divided by
the number of users you have.
⢠Then calculate the acceptance rate, which is the number of signups or
enrollments divided by the number of invites.
⢠Then multiply the two together.
⢠Consider, for example
⢠Your 2,000 customers have sent out 5,000 invitations during their lifetime on
your site.
⢠Your invitation rate is 2.5.
⢠For every ten invitations received, one gets clicked.
⢠Your acceptance rate is 0.1.
⢠Multiply the two, and you have your viral coefďŹcient: 0.25. Every customer you
add will add an addition 25% of a customer.
127. Donât forget cycle time
How long until they invite someone?
⢠After 20 days with a cycle time of two days, you will have 20,470 users.
⢠If you half that cycle time to one day, you would have over 20 million users!
129. Virality stage:
Circle of Moms ďŹnds an
engaged market
⢠Stage: Stickiness
⢠Model: UGC
⢠Launched as Circle of Friends in 2007, it was a way for small groups to interact
atop Facebookâs platform; but when engagement wasnât good enough, the
founders decided to dig deeper.
130. The problem: Not enough engagement
⢠Too few people were actually using the product
⢠Less than 20% of any circles had any activity after their initial creation
⢠A few million monthly uniques from 10M registered users, but no sustained
traction
131. What Circle of Moms found
⢠They found moms were far more engaged
⢠Their messages to one another were on average 50% longer
⢠They were 115% more likely to attach a picture to a post they wrote
⢠They were 110% more likely to engage in a threaded (i.e. deep) conversation
⢠Circle ownersâ friends were 50% more likely to engage with the circle
⢠They were 75% more likely to click on Facebook notiďŹcations
⢠They were 180% more likely to click on Facebook news feed items
⢠They were 60% more likely to accept invitations to the app
⢠Pivoted to the new market, including a name change
⢠By late 2009, 4.5M users and strong engagement
⢠Sold to Sugar, inc. in early 2012
132. Revenue
Youâll want to monetize things at this point. That doesnât mean you havenât already
been chargingâfor many businesses, even the ďŹrst customer has to pay. It just
means that earlier on, youâre less focused on revenue than on growth. Youâre
giving away free trials, free drinks, or free copies. Now youâre focused on
maximizing and optimizing revenue. This phase is closely tied to the Lean Startupâs
Price engine of growth.
133. Sergio Zymanâs many âmoresâ
⢠If youâre dependent on physical, per-transaction costs (like direct sales, or
shipping products to a buyer, or signing up merchants) then more efďŹciently
will ďŹgure prominently on either the supply or demand side of your business
model.
⢠If youâve found a high viral coefďŹcient, then more people makes sense, because
youâve got a strong force multiplier added to every dollar you pour into customer
acquisition.
⢠If youâve got a loyal, returning set of customers who buy from you every time,
then more often makes sense, and youâre going to emphasize getting them to
come back more frequently.
⢠If youâve got a one-time, big-ticket transaction, then more money will help a lot,
because youâve only got one chance to extract revenue from the customer and
need to leave as little money as possible on the table.
⢠If youâre a subscription model, and youâre ďŹghting churn, then upselling
customers to higher-capacity packages with broader features to additional
subscribers within their organization is your best way of growing existing
134. Whatâs a customer worth?
BAD FOR YOU GOOD FOR YOU
Visitor User Customer
Spam/fraud
Support/resources
Ad impressions
Usage data
Content virality
Invite virality
Inherent virality
Voting/ďŹagging
Victim/critical mass
Revenue
136. Market/product ďŹt
Most peopleâs ďŹrst instinct when things arenât going incredibly well is to build more
features. Instead, try pivoting into a new market.
⢠Assume the product isnât the problem, itâs the target customer.
⢠It may be easier to change markets than products.
137. Scale
With revenues coming in, itâs time to move from growing your business to growing
your market. You need to acquire more customers from new markets. You can
invest in channels and distribution to help grow your user base, since direct
interaction with individual customers is less criticalâyouâre close to product/
market ďŹt and youâre analyzing things quantitatively. This phase is closely tied to
the acquisition cost optimization side of the Lean Startupâs Price engine of growth.
138. The hole in the middle
Differentiation EfďŹciency
Apple Costco
Here be
dragons
Your local
sustainable gluten-free
cupcake shop
Niche
140. The leading indicator
⢠A Facebook user reaching 7 friends within 10 days of signing up (Chamath
Palihapitiya)
⢠If someone comes back to Zynga a day after signing up for a game, theyâll
probably become an engaged, paying user (Nabeel Hyatt)
⢠A Dropbox user who puts at least one ďŹle in one folder on one device (ChenLi
Wang)
⢠Twitter user following a certain number of people, and a certain percentage of
those people following the user back (Josh Elman)
⢠A LinkedIn user getting to X connections in Y days (Elliot Schmukler)
⢠These kinds of criteria also make great segments to analyze.
(from the 2012 Growth Hacking conference)
141. But wait: correlated or causal?
Correlation lets you Causality lets you
predict the future change the future
âI will have 420 âIf I can make more
engaged users and ďŹrst-time visitors stay
75 paying customers on for 17 minutes I
next month.â will increase sales in
90 days.â
Optimize the
Find correlation Test causality
causal factor
142. The growth hack
⢠Growth hacking is simply what marketing should have been doing, but it fell in
love with Don Draper and opinions along the way
⢠At its most basic: Optimize a factor you think is correlated with growth
143. An example from Reddit
Logged-in users All users
Days since
last visit
Visits Pageviews Pg/visit Visits Pageviews Pg/visit
0 127,797,781 1.925B 15.06 242,650,914 3.478B 14.33
1 5,816,594 87,339,766 15.02 13,021,131 187,992,129 14.44
2 1,997,585 27,970,618 14 4,958,931 69,268,831 13.97
Causality: When we make
Correlation: If you look at 13.88
3 955,029 13,257,404
changes that get someone
2,620,037 34,047,741 13
>15 pages today youâll
to look at 20,644,331
15 pages 12.32
theyâll
come back tomorrow. 14.23
4 625,976 8,905,483 1,675,476
come back.
5 355,643 4,256,639 11.97 1,206,731 14,162,572 11.74
146. How to draw the line yourself
⢠Sample company trying to drive enrollment
⢠At ďŹrst, out of over 1,200 visitors, only 4 (0.3%) sign up.
⢠By the end of the month, the site is converting 8.2% of its 1,462 visitors.
⢠Should the company keep optimizing?
147. How to draw the line yourself
⢠By plotting a trendline we see that in the current situation the line is around 9%.
⢠To really move the line will require a revolutionary, not evolutionary, change.
149. Your OMTM must ďŹt
Your basic The stage your
business model startup is at
(monetization) (lifecycle)
⢠E-Commerce ⢠Empathy
⢠UGC ⢠Stickiness
⢠Media ⢠Virality
⢠SaaS ⢠Revenue
⢠Mobile App ⢠Scale
⢠2-sided market
150. Whatâs your OMTM?
E- 2-sided Mobile User-gen
SaaS Media
commerce market app content
Empathy Interviews; qualitative results; quantitative scoring; surveys
Loyalty, Inventory, Engagement, Downloads, Content, TrafďŹc, visits,
Stickiness conversion listings churn churn, virality spam returns
CAC, shares, Inherent WoM, app Invites, Content
Virality reactivation
SEM, sharing
virality, CAC ratings, CAC sharing virality, SEM
(Money from transactions) (Money from active users) (Money from ad clicks)
Transaction, Transactions, Upselling, CLV, Ads, CPE, afďŹliate
Revenue CLV commission CAC, CLV ARPDAU donations %, eyeballs
AfďŹliates, Other API, magic Spinoffs, Analytics, Syndication,
Scale white-label verticals #, mktplace publishers user data licenses
158. Lean Analytics lifecycle
for an enterprise-focused startup
Stage Do this Fear this
Consulting to test ideas and Lock-in, IP
Empathy bootstrap the business control, overďŹtting
Standardization and integration; Ability to
Stickiness shift from custom to generic integrate; support
Word of mouth, references, case Bad vibes;
Virality studies exclusivity
Growing direct sales, professional Pipeline, revenue
Revenue services, support recognition, comp
Channels, analysts, ecosystems, Crossing the
Scale APIs, vertically targeted products chasm; Gorillas
160. Intrapreneur example:
P&G changes the mop
instead of the soap
⢠Stage: Empathy
⢠Model: Retail/consumer packaged goods
⢠P&G is constantly looking for better soaps. But innovation was slowing.
Frustrated, they hired a design team to help them.
161. P&G changes the mop
instead of the soap
⢠Heavy internal investment in R&D, but limited results
⢠Brought in an outside agency (Continuum) to help
⢠The team watched people as they mopped, recording and iterating their
research approach
⢠Watched someone pick up spilled coffee. Rather than mopping, the person
swept up with a broom, then wiped with a cloth
⢠Realized the mop, not the liquid, mattered
⢠Studied the makeup of ďŹoor dirt; realized much of it is dust
⢠Swiffer is a $500M innovation in a stalled industry
162. The Lean Analytics lifecycle
for an Intrapreneur
Stage Do this Fear this
Get buy-in Political fallout
Beforehand
Find problems; donât test demand. Entitled, aggrieved
Empathy Skip the business case, do analytics customers
Know your real minimum based on Hidden âmust havesâ,
Stickiness expectations, regulations feature creep
Build inherent virality in from the Luddites who donât
Virality start; attention is the new currency understand sharing
Consider the ecosystem, channels, Channel conďŹict,
Revenue and established agreements resistance, contracts
Hand the baton to others gracefully Hating what happens
Scale to your baby
163. In the end:
Ask good questions
The OMTM should answer the most important question.
164. Once, a leader convinced others in
the absence of data.