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How & Why We Build a Bespoke Marketing Attribution System by Phillip Law @ MeasureCamp Cardiff

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MeasureCamp Cardiff
MeasureCamp Cardiff

This document discusses how an agency built a bespoke marketing attribution solution for a client. It provides an overview of attribution modeling and different approaches like last touch, first touch, and multi-touch attribution. It then describes how the agency cleaned and processed the client's raw marketing data to perform attribution analysis. This included flagging first touch points, conversions, and assigning attribution windows. The analysis evaluated conversion rates and the roles of different marketing channels in assisting and driving conversions. It concluded by discussing challenges, next steps, and how the attribution solution provides insights on campaign performance.

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© 2016 YOUR FAVOURITE STORY ALL RIGHTS RESERVED We craft powerful digital experiences to help our clients grow How and Why We Build a Bespoke Marketing Attribution Solution?
Presentation Overview Introduction Attribution How we Built It? Case Study.
THE INDEPENDENT DIGITAL AGENCY - EXPERTS IN PRODUCT LAUNCHES SPITALFIELDS. LONDON.
CLIENTS 6 Corbet Place, London, E1 6NH | +449))2036 975 011 | hello@yourfavouritestory.com © 2017 Your Favourite Story All Rights Reserved
https://www.thinkwithgoogle.com/articles/consumer-car-buying-process-reveals-auto-marketing-opportunities.html
The Attribution Puzzle Months (900+ Interactions) Social Display PPC Email Test Drive https://www.thinkwithgoogle.com/articles/consumer-car-buying-process-reveals-auto-marketing-opportunities.html
How & Why We Build a Bespoke Marketing Attribution System by Phillip Law @ MeasureCamp Cardiff
What is attribution? • Moving beyond giving all credit in the conversion to the final marketing channel. • An attribution model is the set of rules that determines how credit for conversions is assigned to touchpoints in conversion paths. • Are we undervaluing any channel that initiates conversion paths? • What about the channels that nurture our potential leads? • How do different channels play different roles in the conversion funnel? Social Display PPC Email Test Drive
What are we hoping to achieve? • How many conversions were multi-touch? • Where do marketing channels fit in the user journey? • Each channel contributes in different ways to the conversion funnel. • Varied marketing channel portfolio is necessary for multi-touch user journeys. • Look for things to investigate further.
The Fallacy of Last Touch • This is the standard approach to attribution. • 100% credit to the converting channel. • Useful for businesses with a sales cycle that does not involve a consideration phase. Social Display PPC Email Convert 0 0 0 1 1 100%
First Touch • 100% credit to the first channel. • Useful when comparing with Last-touch or other models. Social Display PPC Email Convert 1 0 0 0 1 100%
Assisted Conversions • Credit evenly distributed to every channel EXCEPT the last touch. • Useful when comparing with Last-touch. Social Display PPC Email Convert 1/3 1/3 1/3 0 1 25% 33% 33% 33%
Linear (Even) • 100% credit is distributed evenly to all touchpoints. • If you consider each touchpoint equally important during the consideration process. Social Display PPC Email Convert 1/4 1/4 1/4 1/4 1 25% 25% 25% 25%
First and Last • 40% credit is assigned to each the first and last touchpoint, and the remaining 20% credit is distributed evenly to the middle touchpoints. • If you most value the first and the final touchpoints. Social Display PPC Email Convert 4/10 1/10 1/10 4/10 1 10% 10% 40%40%
Spatial • The touch point closest (in terms of position) to conversion gets most of the credit, and touch points prior to that will get less credit. Social Display PPC Email Convert 1/10 2/10 3/10 4/10 1 1st 2nd 3rd 4th 40% 30% 20% 10%
Temporal • The touch point closest (in terms of time) to conversion gets most of the credit, and touch points to that will get less credit. Social Display PPC Email Convert 1/40 3/40 16/40 20/40 1 Day 1 Day 3 Day 16 Day 20 40% 30% 20% 10%
Raw Data In – Processed Data Out
ETL Process Transformation Visualise Raw Data Feed
Right Tools For the Job
Getting the Raw Data Feed Because of file size you’ll probably need to get it delivered to an FTP You can ask for the full data feed, this file is delivered hourly and contains all data, this file is Huge, you can get this delivered to D3 on the amazon cloud, which is nice 
Raw Data File
Process this Data File in Python (4 Steps) (Did this whole thing in 140 lines of code) Step 1: Clean file (remove all page views where page views equals zero), flag fist touch point in visit, count page views in visits, create sort key. Step 2: Group by tracking ID, and sort by time (need to sort by the sort key), flag conversion event (Only one conversion Event per Visitor) Step 3: Read in file backwards, create attribution window, count touch points from conversion, write conversion time to the same row as the conversion touchpoint. Step 4: Re-order file and step three reversed the process.
Multi-Touch Attribution • . • In this scenario, it makes sense to distribute credit for the conversion beyond the last touch.
Analysis – Conversion Rate • A Very Small Amount of visits resulted in a conversion.
Analysis – Evaluating Channels
Analysis – Channel Roles • Where do channels fit in the user journey? • 𝐴𝑠𝑠𝑖𝑠𝑡𝑒𝑑 𝐶𝑜𝑛𝑣𝑒𝑟𝑠𝑖𝑜𝑛 𝐶𝑟𝑒𝑑𝑖𝑡 𝐿𝑎𝑠𝑡 𝑇𝑜𝑢𝑐ℎ 𝐶𝑟𝑒𝑑𝑖𝑡 • > 1 Assisting Channels. • < 1 Closing Channels. Closing Channel Assisting Channel
Analysis – Conversion Rate • But what about the opportunities among those who didn’t convert?
Challenges and Limitations • Cross-Device • Online-Offline • Not taking ad impressions into account
Next Steps • Combine with marketing spend to calculate cost per conversion. • Do further analysis on users who didn’t convert. • Use the data to learn about how the channels perform in different campaigns, with different objectives and target audiences.
Conclusions • Attribution modelling is about assigning credit to channels involved in a user’s journey to conversion. • Last Touch is useful but flawed when viewed in isolation. • SEO and Social are important in assisting conversions. • PPC and Direct Traffic are important as last touches. • Use a suite of tools and models to analyse the complexity of the user journey. • Provide analysis of specific campaigns to better understand the role of various channels.
Contact Me @piplaw phillip.law@yourfavouritestory.com http://blog.yourfavouritestory.com/how-to-guide-set-up-a-rules-based- marketing-attribution-model-quickly

More Related Content

How & Why We Build a Bespoke Marketing Attribution System by Phillip Law @ MeasureCamp Cardiff

  • 1. © 2016 YOUR FAVOURITE STORY ALL RIGHTS RESERVED We craft powerful digital experiences to help our clients grow How and Why We Build a Bespoke Marketing Attribution Solution?
  • 3. THE INDEPENDENT DIGITAL AGENCY - EXPERTS IN PRODUCT LAUNCHES SPITALFIELDS. LONDON.
  • 4. CLIENTS 6 Corbet Place, London, E1 6NH | +449))2036 975 011 | hello@yourfavouritestory.com © 2017 Your Favourite Story All Rights Reserved
  • 6. The Attribution Puzzle Months (900+ Interactions) Social Display PPC Email Test Drive https://www.thinkwithgoogle.com/articles/consumer-car-buying-process-reveals-auto-marketing-opportunities.html
  • 8. What is attribution? • Moving beyond giving all credit in the conversion to the final marketing channel. • An attribution model is the set of rules that determines how credit for conversions is assigned to touchpoints in conversion paths. • Are we undervaluing any channel that initiates conversion paths? • What about the channels that nurture our potential leads? • How do different channels play different roles in the conversion funnel? Social Display PPC Email Test Drive
  • 9. What are we hoping to achieve? • How many conversions were multi-touch? • Where do marketing channels fit in the user journey? • Each channel contributes in different ways to the conversion funnel. • Varied marketing channel portfolio is necessary for multi-touch user journeys. • Look for things to investigate further.
  • 10. The Fallacy of Last Touch • This is the standard approach to attribution. • 100% credit to the converting channel. • Useful for businesses with a sales cycle that does not involve a consideration phase. Social Display PPC Email Convert 0 0 0 1 1 100%
  • 11. First Touch • 100% credit to the first channel. • Useful when comparing with Last-touch or other models. Social Display PPC Email Convert 1 0 0 0 1 100%
  • 12. Assisted Conversions • Credit evenly distributed to every channel EXCEPT the last touch. • Useful when comparing with Last-touch. Social Display PPC Email Convert 1/3 1/3 1/3 0 1 25% 33% 33% 33%
  • 13. Linear (Even) • 100% credit is distributed evenly to all touchpoints. • If you consider each touchpoint equally important during the consideration process. Social Display PPC Email Convert 1/4 1/4 1/4 1/4 1 25% 25% 25% 25%
  • 14. First and Last • 40% credit is assigned to each the first and last touchpoint, and the remaining 20% credit is distributed evenly to the middle touchpoints. • If you most value the first and the final touchpoints. Social Display PPC Email Convert 4/10 1/10 1/10 4/10 1 10% 10% 40%40%
  • 15. Spatial • The touch point closest (in terms of position) to conversion gets most of the credit, and touch points prior to that will get less credit. Social Display PPC Email Convert 1/10 2/10 3/10 4/10 1 1st 2nd 3rd 4th 40% 30% 20% 10%
  • 16. Temporal • The touch point closest (in terms of time) to conversion gets most of the credit, and touch points to that will get less credit. Social Display PPC Email Convert 1/40 3/40 16/40 20/40 1 Day 1 Day 3 Day 16 Day 20 40% 30% 20% 10%
  • 17. Raw Data In – Processed Data Out
  • 19. Right Tools For the Job
  • 20. Getting the Raw Data Feed Because of file size you’ll probably need to get it delivered to an FTP You can ask for the full data feed, this file is delivered hourly and contains all data, this file is Huge, you can get this delivered to D3 on the amazon cloud, which is nice 
  • 22. Process this Data File in Python (4 Steps) (Did this whole thing in 140 lines of code) Step 1: Clean file (remove all page views where page views equals zero), flag fist touch point in visit, count page views in visits, create sort key. Step 2: Group by tracking ID, and sort by time (need to sort by the sort key), flag conversion event (Only one conversion Event per Visitor) Step 3: Read in file backwards, create attribution window, count touch points from conversion, write conversion time to the same row as the conversion touchpoint. Step 4: Re-order file and step three reversed the process.
  • 23. Multi-Touch Attribution • . • In this scenario, it makes sense to distribute credit for the conversion beyond the last touch.
  • 24. Analysis – Conversion Rate • A Very Small Amount of visits resulted in a conversion.
  • 26. Analysis – Channel Roles • Where do channels fit in the user journey? • 𝐴𝑠𝑠𝑖𝑠𝑡𝑒𝑑 𝐶𝑜𝑛𝑣𝑒𝑟𝑠𝑖𝑜𝑛 𝐶𝑟𝑒𝑑𝑖𝑡 𝐿𝑎𝑠𝑡 𝑇𝑜𝑢𝑐ℎ 𝐶𝑟𝑒𝑑𝑖𝑡 • > 1 Assisting Channels. • < 1 Closing Channels. Closing Channel Assisting Channel
  • 27. Analysis – Conversion Rate • But what about the opportunities among those who didn’t convert?
  • 28. Challenges and Limitations • Cross-Device • Online-Offline • Not taking ad impressions into account
  • 29. Next Steps • Combine with marketing spend to calculate cost per conversion. • Do further analysis on users who didn’t convert. • Use the data to learn about how the channels perform in different campaigns, with different objectives and target audiences.
  • 30. Conclusions • Attribution modelling is about assigning credit to channels involved in a user’s journey to conversion. • Last Touch is useful but flawed when viewed in isolation. • SEO and Social are important in assisting conversions. • PPC and Direct Traffic are important as last touches. • Use a suite of tools and models to analyse the complexity of the user journey. • Provide analysis of specific campaigns to better understand the role of various channels.