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Andraž Štalec
@andrazstalec
GROWTH HACKING
YOUR DIGITAL MARKETING
SEM Days 2015: Growth hacking your digital marketing
SEM Days 2015: Growth hacking your digital marketing
SEM Days 2015: Growth hacking your digital marketing

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This document discusses becoming a data-driven organization. It recommends investing in robust data extraction and loading processes. Quick wins should be obvious improvements that were overlooked previously. Analyses should minimize friction and experimentation is important. Measurements should be focused on distributions rather than single numbers, capturing external relationships. The checklist involves investing in data, finding quick wins, being methodical, focusing on one key performance indicator at a time while changing often, and avoiding stale metrics.

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What insight can we get from report in Google Analytics, about report based on data in Enhanced Ecommerce.

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I did a training on basic metrics in digital marketing for a Boot Camp organized by Volunteers for Ideas and Projects. It's pretty basic, but covers the most important digital KPIs, especially for student NGOs in the beginning of a digital approach.

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SEM Days 2015: Growth hacking your digital marketing
THERE IS NONE!
1 2
3 4
The Plan
1. Build a website
2. Put ecommerce on it
3. Get tons of free traffic
4. Get rich
5. Party with 3 sexy ladies
6. Party some more
7. Get even richer
8. Move to Dracula castle
9. Transform to vampire
10. Live forever long

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Digital lead generation allows economic development organizations to generate increased visibility, and drive revenue at a faster rate.

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Interested in leveraging Digital Marketing to multiply your organizational revenue? You will find this deck on Digital Marketing for Lead Generation & Sales relevant and interesting. You can find about upcoming hands-on Digital Marketing trainings by Digital Vidya at http://www.digitalvidya.com

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The document discusses digital marketing strategies and optimization. It begins by showing the results of different advertising campaigns and how pausing ads led to decreased sales. It then discusses the importance of understanding customer behavior across multiple devices and touchpoints. The document advocates focusing marketing efforts on increasing average order value, conversion rates, and the number of relevant visitors. It also emphasizes the need to measure micro and macro conversions throughout the customer decision journey. Overall, the document provides guidance on optimizing the marketing funnel, attribution modeling, and advanced analytics to improve digital marketing performance and return on investment.

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SEM Days 2015: Growth hacking your digital marketing
100 VISITS - 1 PURCHASE - 100 €
IT SUCKS
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LMI Services offer LMI Services offer
LMI Services offer

THE INTEGRAL METHOD AIMS TO BE THE PLATFORM OF YOUNG ENTREPRENEURS FOR THE AFRICAN CONTINENT. IT ADVOCATES THE DEVELOPMENT OF OUR DEAR CONTINENT THROUGH DYNAMISM, AND THE PASSION OF ITS YOUTH. SHE BELIEVES IN BECOMING BETTER FOR ALL THESE YOUNG AFRICANS WHO HAVE LOST HOPE IN THIS CONTINENT, THE NOURISHING MATRIX OF HUMANITY. LET YOURSELF BE AN INTEGRAL PART OF THIS DREAM COME TRUE THROUGH YOUR, OUR PLATFORM TO ALL ...

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Ad Click - Commercial Presentation
Ad Click -  Commercial PresentationAd Click -  Commercial Presentation
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Adclick is a digital performance marketing agency that has been in business for 4 years. It generates over 1 billion clicks and 1 million leads per month through its database of 20 million contacts. The company has 30 employees across 7 languages and annual advertising budgets of €1.5M. Adclick only charges clients for results generated, such as leads or sales. It creates and maintains websites and landing pages to generate qualified leads and sales for clients at no upfront cost.

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EIA2019Portugal - Unit Economics - Rick Rasmussen
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This document discusses unit economics and how they relate to different business models and revenue models. It begins by defining unit economics as the unit revenue minus unit costs to determine unit profit. It then provides examples of different business models like products, services, and trade that have different revenue models like one-time sales, hourly rates, and reselling. For each model, it outlines how to calculate the key unit metrics like unit price, unit cost, unit profit, and unit profit margin. Finally, it discusses derivative revenue models like subscriptions and how they are measured using customer acquisition cost and customer lifetime value rather than per unit metrics.

unit economics
WE NEED MORE TRAFFIC
LET‘S START TO ADVERTISE
2.500 € investment | CPC = 0,25 € | 10.000 clicks
10.000 VISITS - 5 PURCHASES - 500 €
IT STILL SUCKS
ROI
-80 %
PAUSE ALL ADVERTISING CAMPAIGNS
IT‘S NOT WORKING
… BUT AT LEAST WE BUILT SOME BRAND AWARENESS

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This document provides an overview of a data-driven retail workshop focused on helping retailers leverage data to drive value, profit, and growth. It outlines key retail challenges like decreasing consumer demand and rising costs. Data and analytics are presented as crucial for optimizing business processes, marketing, and costs to increase profitability. The agenda includes discussions of why data-driven retail is important, how to capture value, real-life examples, and success factors. Attendees will learn practical ways to organize their efforts and activate data-driven initiatives.

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Presentation CM-B.E.-CVPA
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This document discusses key concepts in cost-volume-profit analysis using the example of a bicycle company. It explains the contribution format income statement and how it is used to determine the contribution margin, break-even point, margin of safety, and degree of operating leverage. The contribution margin is the amount of sales revenue left after deducting variable expenses and is used to cover fixed expenses and determine profits. The document provides examples of how profits are affected by changes in sales volume, variable costs, fixed costs, and selling price. It emphasizes the importance of understanding cost behavior and how operating leverage impacts the sensitivity of profits to changes in sales.

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This document discusses an affiliate network that promotes business events to over 1000 websites. It offers three client attraction models: cost-per-click (CPC), cost-per-lead (CPL), and cost-per-action (CPA). CPC charges €0.05 per click, CPL charges an average €10 per lead registration, and CPA takes a 20% commission on ticket sales. Event organizers can sign up, add their event, and choose a model to drive traffic, leads, and ticket sales. The network provides over 400,000 potential clients each month and has clients and advisory board members from major industry players.

100 VISITS - 1 PURCHASE - 100 €
WTF*?!
ZAPPOS
Revenue = $1.000.000.000
WTF
SERIOUSLY
HOW THE F***???
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This document outlines 3 steps to dominate pay-per-click (PPC) campaigns in 2018: 1) Buy the most valuable traffic first by visualizing campaign data to identify high-performing keywords, ad groups, and traffic sources; 2) Use quality score to gain an advantage by improving ad relevance to increase quality score and campaign performance; 3) Optimize campaigns to deeper funnel metrics like sales qualified leads (SQLs) rather than just leads to improve ROI. Taking these steps includes data analysis, campaign restructuring, and optimizing to the deepest measurable metrics.

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internetpitchstartup
INCREASE
AVERAGE
PURCHASE
VALUE
INCREASE
TRAFFIC
DECREASE
CPA
INCREASE
CONVER.
RATE
DECREASE
BOUNCE
RATE
IT‘S
WEATHER
RELATED
IT‘S ALL
ABOUT THE
PAY DAY
ADD
PRODUCT
RATINGS
INCREASE
PER
SESSION
VALUE
DAY OF THE
WEEK
IT‘S THE
MOON
INCREASE
USER
RETENTION
ADD
COMPARE
PRODUCTS
INCREASE
AVERAGE
QUANTITY
INCREASE
AVERAGE
UNIT PRICE
INCREASE
TIME ON
SITE
INCREASE
READ RATE
ADD
SOCIAL
ACTIONS
How to do it?
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5 MILLION
SESSIONS
130 MILLION
DATA POINTS
12 MONTHS OF
DATA
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This document compares the effectiveness of different marketing channels - direct mail, email, and banner advertising - for a Belgian food brand's webshop campaign. Direct mail generated the highest turnover at €252,000 from 50,000 contacts, compared to €7,128 from email and €1,030 from banners. Direct mail also had the highest ROI at 770% and the lowest cost per acquisition. The key conclusion is that direct mail is the most efficient activation channel, and combining online and offline approaches generates better results than online-only.

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THE MOON
Sorry dear, I was moonwalking (and I was without € 100).
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REVENUE PER SESSION
You are worth 0,56 €.
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Every business wants to increase their ROI from online marketing, although how do digital marketing agencies actually deliver results? Pay Per Click marketing is one of the best ways to grow ROI through analysis customer data and identifying key audience behaviors. By using PPC we can then target more people who most liking to buy and increase ROI to our clients. Google Ads is the best way to turn $1 into $4 and here's how it's done... 🤩 Want to learn more hints, tips and tricks about digital marketing??? Then checkout my marketing blog 📚 Addicted 2 PPC Blog💻

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This document provides information about a business presentation for a company called Metropolee. It discusses the growth of the app market and how smartphone apps have changed daily life. It then describes Metropolee's products for building mobile apps, including their Mobile App Builder and App Setup Kits starting at 51€ per month. The presentation outlines Metropolee's compensation plan, which includes various bonuses like Retail Bonuses, Matching Bonuses, and incentives to recruit others. It provides examples of how members can earn money and discusses career paths within the company.

NUMBER OF SESSIONS
»Supersize me«.
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AVERAGE ORDER VALUE
Two pears and an apple.
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CONVERSION RATE
Everything is OK, but I won‘t buy it.
SEM Days 2015: Growth hacking your digital marketing
THE DAY OF THE MONTH
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This document discusses 5 common false assumptions about online traffic and digital marketing: 1) That users searching for a brand will necessarily buy from that brand. 2) That direct traffic doesn't bring the most qualified users. 3) That generic search traffic will last forever. 4) That market maturity doesn't matter. 5) That user intent can be defined from just the search query. It provides recommendations to analyze business metrics and user behavior more deeply to improve digital marketing strategies.

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Implementation of AI in marketing

1) The document discusses how the rise of mobile usage and voice assistants is driving changes in digital marketing and advertising. Mobile usage and time spent on mobile devices has increased significantly in recent years. 2) It outlines how artificial intelligence is starting to play a bigger role in areas like search engine optimization, predictive analytics, and content personalization. For AI to be effective, companies need to capture extensive customer data on transactions, behaviors, and attributes. 3) The author recommends that marketers invest in data to better understand customer journeys, challenge conventional approaches as new technologies emerge, and focus on outcomes rather than individual advertising tactics or channels.

aiartificial intelligencemarketing
REVIEWS
COMPARE
PRODUCTS
SAVE TO
WISH LIST
CHECK STOCK
Not really connected to Add to cart
REVENUE
R2 = 0,947
R2 = 0,831
REVENUE PER
VISITOR
R2 = 0,961
R2 = 0,353
AVERAGE ORDER
VALUE
R2 = 0,754
CONVERSION
RATE
R2 = 0,570
ADD-TO-CART
CONVERSION
RATE
R2 = 0,225
VISITORS
USER
AQUISITION
USER
RETENTION
Ecommerce revenue streams
CONDUCT A BUSINESS OVERVIEW
REVENUE
2,0 M
REVENUE PER
VISITOR
1,00 €
AVERAGE
ORDER VALUE
50,00 €
AVERAGE
QUANTITY
2,00
AVERAGE PER
UNIT PRICE
25,00 €
CONVERSION
RATE
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NUMBER OF
STEPS
AVERAGE
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USER
AQUISITION
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USER
RETENTION
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New insights from analyzing millions of user data point offer you better perspective on digital and enable you to design a more comprehensive digital strategy for your e-commerce business.

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REVENUE
1.000 €
REVENUE PER
VISITOR
1,00 €
AVERAGE
ORDER VALUE
100,00 €
AVERAGE
QUANTITY
AVERAGE PER
UNIT PRICE
CONVERSION
RATE
1,00 %
NUMBER OF
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AVERAGE
COMPLETION
RATE
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1.000
USER
AQUISITION
USER
RETENTION
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MINIMAL SUCCESS VOLUME
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PROFIT
REVENUE COSTS
COGS CPA
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OTHER COSTS
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PROFIT
REVENUE
10 €
COSTS
COGS
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0,10 €
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Red Orbit Culture book

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My ultimate success line (until now)
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MEASURE ANALYZE OPTIMIZE
DELIVER
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How to do it?
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REVENUE
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VISITOR
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AVERAGE
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AVERAGE
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AVERAGE
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Consumers are always changing. How can we adapt our digital marketing to their needs? Do we really know what their needs are? Do we know where we fail to satisfy them? Digital marketing in it's all glory and complexity can be overwhelming and marketeers get "lost" fast, spending money on the wrong things. With lean digital marketing approach we will take a look at how to approach digital marketing the smart way.

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inOrbit 2015: Študija primera - Datafy.it
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Kako vrednotiti vsebino? Ločiti moramo plačan in neplačan brandiran in nebrandiran obisk. Kako ustvarjati kontakte? Uporabljati moramo prave sprožilce, da nam obiskovalci podatke sploh pustijo. Po kanalih lahko preverjamo od kje so bile konverzije oz. leadi (prebran blog post, prijava na enovice itd.).

google analyticsinbound marketinginorbit
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back to Review.
What is the cause?
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What is the cause?
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REVENUE
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VISITOR
1,00 €
AVERAGE
ORDER VALUE
50,00 €
AVERAGE
QUANTITY
2,00
AVERAGE PER
UNIT PRICE
25,00 €
CONVERSION
RATE
2,00 %
NUMBER OF
STEPS
AVERAGE
COMPLETION
RATE
VISITORS
2,0 M
USER
AQUISITION
1,5 M
USER
RETENTION
33 %
Ecommerce revenue streams
How is traffic distributed between channels?
Google
AdWords has
the highest CR
and lowest BR
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Mobile Usage
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2,0 M
REVENUE PER
VISITOR
1,00 €
AVERAGE
ORDER VALUE
50,00 €
AVERAGE
QUANTITY
2,00
AVERAGE PER
UNIT PRICE
25,00 €
CONVERSION
RATE
2,00 %
NUMBER OF
STEPS
AVERAGE
COMPLETION
RATE
VISITORS
2,0 M
USER
AQUISITION
1,5 M
USER
RETENTION
33 %
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REVENUE
2,0 M
REVENUE PER
VISITOR
1,00 €
AVERAGE
ORDER VALUE
50,00 €
AVERAGE
QUANTITY
2,00
AVERAGE PER
UNIT PRICE
25,00 €
CONVERSION
RATE
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NUMBER OF
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AVERAGE
COMPLETION
RATE
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AQUISITION
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SEM Days 2015: Growth hacking your digital marketing
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SEM Days 2015: Growth hacking your digital marketing

Editor's Notes

  1. So we did some advanced analysis and data mining. We took all this metrics and data (130 millions data points), calculated correlations, did some regresion and multiple regression analysis.
  2. Even in the prehistoric time of digital (in the 90s of the last millennium) bounce rate was considered to be one of the most important digital metrics. It turns out that this is not the case. If a bounce rate is within the normal range (below 30%), a few % changes have no impact on revenue. Struggling to reduce a bounce rate from 23% to 17% is therefore meaningless. This does not mean that we can afford a website with a bounce rate of 50% or more. R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. 0% indicates that the model explains none of the variability of the response data around its mean.
  3. Weather and temperature at the actual location of the user do not have a drastic impact on online behavior. It is wrong to think that the rain brings higher revenue, because we are all in the safe shelter of home on the computer - and vice versa. Local weather is supposed to affect the emotional state of users, but it not true on the web. This does not mean that the same applies to seasonal or large scale weather changes like heat waves.
  4. Moon rises oceans, moves rocks, shapes space-time and therefore we could conclude that it has impact on users' behavior online as well. But our analysis showed that people are harder to bend than our cosmos and the moon has no effect on our purchasing behavior. Even if it's a blue moon.
  5. Yes, I know. This one is quite obvious. The average visitor value (calculated by dividing the total revenue divided by the number of visitors) has one of the biggest impacts on revenue (R2 = 0.831). Why do I even mention it? First, because this metric is often overlooked and, secondly, because it gives us an excellent basis for the calculation of the profitability of individual digital channels. If the cost of acquisition on each user channel is greater than the value of the user obtained through this channel, then something is wrong.
  6. I'm not sure whether this is the result of capitalism or something else, but the belief that, if I drive more traffic to the website all our financial problems will be solved, does not apply at all. Number of visitors, while it is important, has a weak correlation with revenue (R2 = 0.225).
  7. It seems that the fact how much an average user spends online, is quite important - and indeed it is. Even more interesting is that the average number of products in the shopping cart has no significant correlation with revenue. Hint: rather to focus on how to presuade users to add another product to a cart, we should focus on how to enable better user experience to finish the purchase as quickly as possible.
  8. Conversion rate has a strong correlation with revenue per session. I believe that this is something that everyone has long known, and that is why I wonder why the progress in this field so minimal. Testing customer shopping experience is still science fiction.
  9. I get my salary on the 15th of the month, then I immediately go shopping and, consequently, the number of transactions rises. Probably true. But pay day could be on 1, 8, 15, pensions can be on 31 etc. Fact: day of the month does not have any connection with revenues on the website.
  10. Even in this case you would need good margin 10.000 visitors with 1 % CR results in 100 transactions. If APV is 30 € your profit is 3.000 €. Hardly enough to survive
  11. Find the bottlenecks and improvement areas in your conversion funnel Learn: - Which steps drive users to leave your website - Which steps have users leave for other pages - Where users enter your funnel from
  12. Funnels are non-linear, users move backwards and forwards. See when users move back through your funnel and try to find out why. Learn: - Which steps do users skip? - Which steps do users redo? - What are the top funnel paths?
  13. Understand where customers are coming from and which acquisition channels to optimize for Learn: - The user split between acquisition channels - How performance differs between channels
  14. Quickly see which campaigns are performing well
  15. See which campaigns bring most of users Learn: What‘s the New Sessions ratio What‘s the bounce rate What‘s the reach of the specific campaign Which campaigns are costing us most of our money Can you optimize the costs What‘s the CPC of this specific campaign What‘s the AvgPos
  16. See where your users land/leave. Learn: - How your overall landing/exit pages perform over time - How individual pages perform by time on site, exit rate, and more
  17. See the devices users use and how adoption changes over time Learn: - The split between device types, specific smartphone types or operating systems, screen sizes Learn which segments you are performing well for How well are your campaigns performing on different devices Are you reaching users on mobile as well How are they behaving and converting compared to desktop users
  18. See how your users behave in relation to key shopping goals. Segment results to see which user groups are underperforming. Learn: - How many users you lose per step - How individual user groups perform - Which functionalities you need to improve urgently
  19. See where your users land/leave. Learn: - How your overall landing/exit pages perform over time - How individual pages perform by time on site, exit rate, and more
  20. Understand your users most common navigation paths Learn: - How users move through your website - Where users land - Which pages have high exit rates
  21. See where users click on your pages, as well as what their scroll-depth is Learn: - Which elements get the best CTR (note: when multiple buttons share the same URL they share CTR’s here) - What the scroll-depth of your users is - What content underperforms for the amount of screen real estate it has
  22. See how often site search is used and how much value it adds to your business Learn: - The percentage of users who do or do not use site search, segment by user types Understand how important site search is to conversion rates and business revenue Add search keywords to your Google Search campaigns
  23. See which campaigns are more effective in awareness phase and which in purchase phase Learn: - Are we targeting the right part of CDJ - Are we using the right targeting - How effective are my GDN campaigns
  24. See which campaigns have the highest AOV. Filter out campaigns with few transactions. Learn: Which type of campaign has the highest AOV Calculate profitability based on CR, AOV and CPC
  25. Value Proposition – kakšen Value Proposition aktivira uporabnika Relevance – naredi stran bolj relevantno za uporabnika (glede na STD oz. source in customer need) Clarity – eyeflow & grafični izgled/preglednost Anxiety – znižuje CR (gradnja zaupanja) Distraction – preveč opcij, upsales, cross sales Urgency – zakaj rabim za izdelek sedaj takoj http://www.widerfunnel.com/conversion-rate-optimization/the-six-landing-page-conversion-rate-factors