#MakePudding @AMP_AgencyBoston • New York • San Francisco
Always Make Pudding:
Dig in to Find the Proof of Success
Septemb...
#MakePudding @AMP_Agency
AMP Agency
2
As a full service, strategic marketing agency, we are: Creative minds, digital strat...
#MakePudding @AMP_Agency
About the Presenter
– Rich Grogan is the VP of
Measurement & Analytics at
AMP Agency
– Designing ...
#MakePudding @AMP_Agency
Agenda
– How We Make Pudding
– What is Big Data
– What to do with Big Data
– The Analytics Maturi...
#MakePudding @AMP_Agency
AMP Measurement & Analytics
– AMP’s M&A practice is
made up of a unique
combination of digital
an...
#MakePudding @AMP_Agency
What is Big Data Analytics Anyway?
6
“Big data analytics is the process of examining large amount...
#MakePudding @AMP_Agency
Big Data is Growing Fast
Here are some fun facts:
7
2.7 Zetabytes1 of data exist in the digital u...
#MakePudding @AMP_Agency
Key Driver of Growth: Digital
8
YouTube users upload 48 hours of new video every minute of the da...
#MakePudding @AMP_Agency
It’s not the size of your data.
It’s how you use it.
9
#MakePudding @AMP_Agency
Continuous measurement helps optimize ongoing programs, track
success and reveal inspiration for ...
#MakePudding @AMP_Agency
Elements of an Analytics Game Plan –
Analytics Maturity Model
11
INFORMATIONOPTIMIZATION
HINDSIGH...
#MakePudding @AMP_Agency
ONLINE SHOPPER ANALYSIS
12
#MakePudding @AMP_Agency
The Challenge
Our client challenged AMP to develop a series of analyses that
will result in a gre...
#MakePudding @AMP_Agency
The Solution
AMP’s analytic team designed a series of analyses to address our
client’s challenge....
#MakePudding @AMP_Agency
PART I: PATH TO CONVERSION
15
#MakePudding @AMP_Agency
Path-to-Conversion Analysis: Overview
– Goal: Better understand the
impact of key online touch po...
#MakePudding @AMP_Agency
Path-to-Conversion Analysis: Results
The analysis yielded insightful results that
provided our cl...
#MakePudding @AMP_Agency
PART II: HIGH VALUE BEHAVIOR ANALYSIS
18
#MakePudding @AMP_Agency
High Value Behavior Analysis: Overview
– Goal: Identify and quantify the impact of site
engagemen...
#MakePudding @AMP_Agency
High Value Behavior Analysis: Overview
20
Identify relevant site behaviors for model
Process beha...
#MakePudding @AMP_Agency
High Value Behavior Analysis: Results
The analysis yielded insightful results that provided our c...
#MakePudding @AMP_Agency
PART III: CHANNEL ATTRIBUTION ANALYSIS
22
#MakePudding @AMP_Agency
Channel Attribution Analysis: Overview
– Goal: Quantify the impact digital channels have on
conve...
#MakePudding @AMP_Agency
Channel Attribution Analysis: Overview
24
Identify data sources
Process data
Data Analysis
Variab...
#MakePudding @AMP_Agency
Channel Attribution Analysis: Results
– Established and quantified the relationship
between purch...
#MakePudding @AMP_Agency
Online Shopper Analysis: Conclusion
At the conclusion of these analyses our client had a greater ...
#MakePudding @AMP_Agency
Key Takeaways
1. When capturing the right “big data,” there are unlimited
possibilities.
2. Every...
#MakePudding @AMP_Agency
Thank You!
28
More questions?
Send a note to Rich Grogan, VP of
Measurement & Analytics at
rgroga...
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AMP Agency's Always Make Pudding Analytics Webinar

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Big data was the golden child of 2012. And rightfully so. It's the key to measuring true marketing success. But as the amount of data available to brands continues to expand, marketers must avoid data paralysis by developing protocols for clear, consistent interpretation of data that leads to actionable insights.

AMP Agency's Always Make Pudding Webinar discusses how marketers are arriving at vital, data driven, actionable insights to solve real business challenges. After all, it's not the flavor of your pudding that matters... it's knowing when to lick the spoon.

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AMP Agency's Always Make Pudding Analytics Webinar

  1. 1. #MakePudding @AMP_AgencyBoston • New York • San Francisco Always Make Pudding: Dig in to Find the Proof of Success September 19, 2013
  2. 2. #MakePudding @AMP_Agency AMP Agency 2 As a full service, strategic marketing agency, we are: Creative minds, digital strategists, social and behavioral scientists, media experts and experiential innovators that focus on creating contextually relevant and seamless consumer engagements across physical and digital brand experiences. We are inspired by insights and driven by results.
  3. 3. #MakePudding @AMP_Agency About the Presenter – Rich Grogan is the VP of Measurement & Analytics at AMP Agency – Designing and delivering solutions allowing businesses to better understand their prospects and strengthen existing customer relationship – Past positions include Analytics & Measurement roles at Digitas, Allen & Gerritsen, Studiocom and Arnold Worldwide
  4. 4. #MakePudding @AMP_Agency Agenda – How We Make Pudding – What is Big Data – What to do with Big Data – The Analytics Maturity Model – Case Study – Key Takeaways 4
  5. 5. #MakePudding @AMP_Agency AMP Measurement & Analytics – AMP’s M&A practice is made up of a unique combination of digital analysts, statisticians, social scientists, and technicians – This unique combination of skills and experience allows AMP to help our clients better understand their prospects and strengthen relationships with existing customers 5 Analytic Strategy Development Analytics Solutions Support Primary & Secondary Research Predictive Modeling Program Reporting Social Analytics
  6. 6. #MakePudding @AMP_Agency What is Big Data Analytics Anyway? 6 “Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue1.” 1 Margaret Rouse, Editorial Director, WhatIs.com
  7. 7. #MakePudding @AMP_Agency Big Data is Growing Fast Here are some fun facts: 7 2.7 Zetabytes1 of data exist in the digital universe today The volume of business data worldwide, across all companies, doubles every 1.2 years By 2020, business transactions on the internet will reach 450 billion per day 1 1 Zetabyte = 10007 bytes
  8. 8. #MakePudding @AMP_Agency Key Driver of Growth: Digital 8 YouTube users upload 48 hours of new video every minute of the day 571 new websites are created every minute of the day Brands and organizations on Facebook receive 34,722 Likes every minute of the day According to Twitter’s own research in early 2012, it sees roughly 175 million tweets every day and has more than 465 million accounts
  9. 9. #MakePudding @AMP_Agency It’s not the size of your data. It’s how you use it. 9
  10. 10. #MakePudding @AMP_Agency Continuous measurement helps optimize ongoing programs, track success and reveal inspiration for future programs 10 DATA DRIVEN METRICS Analyzing campaign performance and maximizing ROI through ongoing optimization and measurement PERFORMANCE ANALYTICS Evaluating brand measured performance such as sales, ratings, site traffic and attendance CONSUMER BASED RESEARCH Measuring Brand Health through custom research plan utilizing proprietary tools AMP’s Commitment to Results
  11. 11. #MakePudding @AMP_Agency Elements of an Analytics Game Plan – Analytics Maturity Model 11 INFORMATIONOPTIMIZATION HINDSIGHT FORESIGHTINSIGHT BUSINESSVALUE COMPLEXITY What happened? DESCRIPTIVE ANALYTICS Why did this happen? DIAGNOSTIC ANALYTICS What if….? TESTING & FORECASTING What will happen? PREDICTIVE ANALYTICS
  12. 12. #MakePudding @AMP_Agency ONLINE SHOPPER ANALYSIS 12
  13. 13. #MakePudding @AMP_Agency The Challenge Our client challenged AMP to develop a series of analyses that will result in a greater understanding of their customers’ journey from initial research to conversion. The goals of this analytics effort were as follows: 1. Better understand the impact of key online touch points that influence our client’s online shoppers 2. Identify and quantify the impact of site engagements that correlate with digital conversion 3. Quantify the impact of digital investment on digital sales 13
  14. 14. #MakePudding @AMP_Agency The Solution AMP’s analytic team designed a series of analyses to address our client’s challenge. The combined analyses are referred to as AMP’s Online Shopper Analysis. CHALLENGE Better understand the impact of key online touch points that influence our client’s online shoppers 1. Path-to-Conversion Analysis Identify and quantify the impact of site engagements that correlate with digital conversion 2. High Value Behavior Analysis Quantify the impact of digital investment on digital sales 3. Channel Attribution Analysis Clickstream Analysis Clickstream Analysis & Predictive Modeling Econometric Modeling SOLUTION METHODOLOGY 14
  15. 15. #MakePudding @AMP_Agency PART I: PATH TO CONVERSION 15
  16. 16. #MakePudding @AMP_Agency Path-to-Conversion Analysis: Overview – Goal: Better understand the impact of key online touch points that influence our client’s online shoppers – Data Source: Partner’s online consumer panel. No data from our client was required. – Time Period: Full Year 2012 – Every move a panel member made was logged, parsed and analyzed. – Methodology: Clickstream Analysis 16
  17. 17. #MakePudding @AMP_Agency Path-to-Conversion Analysis: Results The analysis yielded insightful results that provided our client with a view of their online shopper’s online behavior, leading to conversion. – Where shoppers began their shopping process – Key brand engagement touch points and in what order – Touch points with the highest intensity – Resources shoppers use throughout their research process – Types of websites with which they engaged most – Brands and products in their consideration set at the beginning, middle and end of the process 17
  18. 18. #MakePudding @AMP_Agency PART II: HIGH VALUE BEHAVIOR ANALYSIS 18
  19. 19. #MakePudding @AMP_Agency High Value Behavior Analysis: Overview – Goal: Identify and quantify the impact of site engagements that correlate with conversion events. – Data Source: Site behavioral data sourced from website analytics solution. – Time Period: Full Year 2012 – Methodology: Clickstream & Predictive Modeling – Models were built to test each engagement point to determine if there is a correlation with that point of engagement, or a combination there of, with specified conversion events. – The models not only identified important site engagements, but we also quantified their impact on conversion. 19 Find a Store Request a Quote Video View Conversion Event Product View
  20. 20. #MakePudding @AMP_Agency High Value Behavior Analysis: Overview 20 Identify relevant site behaviors for model Process behavioral data Data Analysis Variable Correlations Model Development The following are the steps involved in the High Value Behavior Analysis:
  21. 21. #MakePudding @AMP_Agency High Value Behavior Analysis: Results The analysis yielded insightful results that provided our client with insight into what site behaviors influenced particular behaviors, both positively and negatively. – Visitors engagement with particular content – How visitors are engaged with the various brand sites, and what the relative influence of these engagements were, as it relates to a conversion event – What are the least and most influential drivers on the site? – What are the least and most influential combination of engagements as drivers of online conversion? 21
  22. 22. #MakePudding @AMP_Agency PART III: CHANNEL ATTRIBUTION ANALYSIS 22
  23. 23. #MakePudding @AMP_Agency Channel Attribution Analysis: Overview – Goal: Quantify the impact digital channels have on conversion events and POS. – Data Source: Detailed media data, including all relevant channels, along with detailed site conversion and POS data (both Digital and Overall) were aggregated for this exercise. – Time Period: Full Year 2012 – Methodology: Econometric Modeling – These aggregated data sources were modeled to identify and quantify the impact each channel, or combinations there of, on conversion events and sales – Ultimately this analysis may yield learnings that will guide media investment across channels. 23
  24. 24. #MakePudding @AMP_Agency Channel Attribution Analysis: Overview 24 Identify data sources Process data Data Analysis Variable Correlations Model Development The following are the steps involved in the HVB analysis:
  25. 25. #MakePudding @AMP_Agency Channel Attribution Analysis: Results – Established and quantified the relationship between purchase intent on the site and conversion on partners sites – Identified how the level of spend in the various media channels (e.g. Display, TV, Search) impacts revenue – Identified a halo effect across channels – Determined which channel has the greatest return on investment – Illustrated how the impact by individual channels change across brands and brand categories – Determined the impact of a particular channel change across partner sites – Identified a halo effect across brands 25 Through this analysis we were able to quantify, holistically, the ROI of their digital investment for the first time in their history.
  26. 26. #MakePudding @AMP_Agency Online Shopper Analysis: Conclusion At the conclusion of these analyses our client had a greater insight into its online shoppers’ digital journey from initial research to purchase. – Our client’s marketing team better understands the key touch points their online customers engage with during their shopping journey, allowing their media teams to create more efficient and effective media plans, investing smarter. – Understanding the impact and value of specific engagements on their brand sites has allowed the teams to define new success measures that can be leveraged to optimize online media efforts and site content, increasing conversions and revenue. – A deeper appreciation for how the various media channels impact on-site conversion, and ultimate sales, either on their own or in combination, has allowed marketing teams to optimize media mix, maximizing return on investment. 26
  27. 27. #MakePudding @AMP_Agency Key Takeaways 1. When capturing the right “big data,” there are unlimited possibilities. 2. Every marketing effort is measurable. 3. Build a balanced plan around four elements of the Analytics Maturity Model: – Descriptive Analytics • Sifting through the “big data” via tools like Google Analytics (What Happened) – Diagnostic Analytics • Generating insights garnered from the descriptive analytics (Why Did This Happen) – Testing & Forecasting • Leverage data + insights to build tests (testing “What If”) – Predictive Analytics • Utilizing the data to answer what will happen 27
  28. 28. #MakePudding @AMP_Agency Thank You! 28 More questions? Send a note to Rich Grogan, VP of Measurement & Analytics at rgrogan@ampagency.com Business inquiries? Send a note to Steve McCall, SVP of Integrated Marketing, smccall@ampagency.com
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