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Programmatic as a Retention Driver
Mark Fiske, VP Channel Marketing, Ancestry
October 1, 2015
About Ancestry
• Ancestry is the world's largest online family history resource. We are
dedicated to helping everyone discover, preserve and share their family
history.
• 11 Brands and presence in 9 markets
• >2MM paying subscribers
• >16 Billion records
• >70 Million family trees containing >6 Billion profiles
• ~35 MM visits/month (Comscore)
2
The Promise of Programmatic Realized
3
4
Ad Sales: Simplified
5
Tech Stack: Simplified
6
Customer Insights: Advanced
“User ID ABC123 clicked on page ID 376239, hovered mouse for 14 seconds over the headline, clicked
“add to tree”, entered custom comment, hovered mouse for 6 seconds, clicked “share,” shared to six
email addresses, clicked “submit,” clicked “home,” hovered mouse over pending suggestions for 10
seconds, clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds,
rejected pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to
suggestion ID 983290, clicked “submit,” clicked “home,” hovered mouse over pending suggestions for
4 seconds, clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds,
rejected pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to
suggestion ID 983290, clicked “home,” hovered mouse over pending suggestions for 9 seconds,
clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds, rejected
pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to suggestion ID
983290, clicked “home,” hovered mouse over communications tab for 6seconds, clicked “review,”
rejected pending suggestion ID 194829, hovered mouse for 4 seconds, rejected pending suggestion
ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to suggestion ID 983290, clicked
“home,” hovered mouse over pending suggestions for 11 seconds, clicked “review,” rejected pending
suggestion ID 194829, hovered mouse for 4 seconds, rejected pending suggestion ID 128403,
hovered mouse for 6 seconds, clicked “pedigree view” on ID 983290 clicked “home,” hovered mouse
over pending suggestions for 2 seconds, clicked “review,” rejected pending suggestion ID…”
7
Customer Experience: Well…
Let me show you that product again… 37 times
So, what has changed with technology?
• Ways in which we can identify behaviors
• Ability to communicate on a 1:1 basis like never before
• Sheer quantity of channels in which we can communicate with customers
• Ability to leverage media once only seen as “acquisition/branding”
And yet… Show of hands…
In my company, CRM is… Cumulative
Touches/week
Email 1.5
Email + On-Site Banner 7
Above + Mobile Push 8
Above + Off-Site Programmatic 32
Above + AdWords RLSA 34
Above + Facebook WCA 49
Above + Direct Mail 50
97% of
Opportunity
Missed
Programmatic as CRM Driver
10
Defining Channel<->Message Interaction
• Test into target frequency by message
• Understand what is/is not profitable by channel
• Apply Common Sense
• Define media channel mix per segment/message
based on expected RPM
 “R” is important! Retention & frequency have value, know it!
 Test & Control
Testing: Profitability
• Target frequency of 16 per person before wasting impressions
• Message-level LTR/1000 impressions = $1.37
Channel Channel
Touches/week
Cost/1000
Email 1.5 $0.01
Email + On-Site Banner 5.5 $0.02
Above + Mobile Push 1 $0.03
Above + Off-Site Banner 24 $1.00
Above + AdWords RLSA 2 $1.30
Above + Facebook WCA 15 $1.40
Above + Direct Mail 2 $300
No further return on
impressions
Unprofitable
Sample Interaction Mapping
13
Communication Segment Email Site
Banner
Program.
Banner
Facebook
Newsfeed
- Cust.
Aud
FB
Newsfeed
- Pixel
Postal Mail Mobile
Push
AdWords
Brand
RLSA
“Hints” – Engagement/Retention
“Message Waiting” –
Engagement/Retention
Recently Canceled – Timed
Reactivation
Free Trialer - Education
Military Searcher – Cross-Sell
Global Interest - Upsell
Campaign – Free Access
Card Decline - Transactional
Align Organizational Structure, Goals
14
This Org Isn’t Bad…
15
CMO
Channels
SEM
Display
FB
Etc
CRM
Email
Campaigns
PR
Partnerships
Earned
Outreach
So Long as Shared Goals
16
Team Old Goal New Goal
Channels X New Subscribers $X LTR
CRM Y Reactivations
Z New Subs
N Churn Decrease
$Y LTR
PR P Pieces picked up
Z Reach
$Z LTR*
This Org Isn’t Bad…
• Testing key to understand LTR impact of ‘contributor Events’
 X decrease in churn
 Per piece mailed
• Budget Accordingly: Stop thinking of retention as free
Infrastructure
17
Uniform Definition of Customer
• Define who owns customer segment logic
• Create one source with mappings across all
customers/prospects
• Open System: Consumers can feed data in
/ data out
 Flat File
 API
 Accessible to website services
18
Reinventing Approach:
Test, Rinse, Repeat
• Your current marketing experience is
likely the product of years of testing
• Start with obvious
• Develop iterative testing process
• Expect & encourage failure
19
One of Dozens of Use Cases At Ancestry…
20
Email On-Site Display
Off-Site Display
Social Mobile
And it works!
21
• Significant lift vs. control
groups receiving messaging
via solely email channel
• As with all media, granular testing
achieves best results
Control Exposed Lift
Registrants 0.0% 1.2% N/A
Current Free Trialers 16.2% 26.8% 65.4%
Previous Trialers 0.0% 1.4% N/A
All Others 7.5% 8.3% 10.7%
TOTAL 5.9% 9.4% 58.9%
Conversion Rate
Ancestry Current Previous All
Registrant Free Trail Trialer Others Previous Subs Current Subs
Control 0.0% 16.2% 0.0% 7.5% 0.0% 76.0%
Exposed 1.2% 26.8% 1.4% 8.3% 8.3% 79.9%
Generic 1.3% 21.1% 1.8% 10.4% 10.7% 82.1%
Specific Hint counts 1.2% 27.5% 1.4% 8.0% 7.9% 79.6%
1 0.5% 24.8% 0.7% 3.4% 4.2% 73.1%
2 0.6% 27.1% 0.9% 5.1% 4.5% 72.9%
3 0.7% 21.9% 0.4% 4.4% 4.4% 70.6%
4 0.7% 23.9% 0.8% 4.1% 4.8% 72.1%
5 0.7% 24.4% 0.8% 6.3% 3.8% 70.9%
6 0.9% 26.2% 1.3% 4.7% 4.7% 72.5%
7 1.3% 26.1% 0.9% 4.5% 4.6% 72.8%
8 1.1% 32.9% 1.0% 4.9% 6.2% 72.2%
9 1.1% 27.7% 0.9% 4.4% 6.3% 75.5%
10 1.2% 29.1% 1.1% 7.0% 6.2% 75.1%
11 1.6% 30.4% 1.3% 6.6% 6.8% 73.7%
12 1.6% 31.3% 2.0% 6.0% 5.8% 73.8%
13-23 1.5% 25.0% 1.1% 6.3% 5.9% 74.5%
24-99 1.9% 29.0% 1.3% 7.3% 6.0% 78.2%
100-199 2.7% 30.4% 2.0% 10.9% 7.7% 81.8%
200+ 2.4% 27.8% 2.3% 12.3% 8.4% 81.5%
1000+ 3.4% 31.5% 3.2% 18.7% 15.0% 86.7%
Registrants (Never Subscribed)
Take-Aways
• Thinking of programmatic as a retention
driver can increase engagement
opportunities 97%
• Aligning teams around LTR goals creates
common language without significant
organizational change
• Test into optimal frequency, channel by
message to define interaction mapping
22
Thank you, questions
Mark Fiske
@thefiske
APPENDIX
Technology Key
• Focus on ETL times, system of record
 Near-real-time key, hours not an option
• Tag Management System
 Sounds so 2010, but needed for conditional logic
• Data Management Platform
 Not just display any more
25
Technology – Ancestry Past (24-48 hours)
Data
FTPBIT
24 Hour Wait
Web
Analytics
Tool
Web Analytics
Data Feed
Rest API
Marketing
Segmentation Tool
Email Service
Provider
Onsite Display Ad
Server
Offsite Display
Platform
Processing
The RX for 1:1 multichannel success
(in this order)
• Focus on core customer value proposition
• Develop interaction mapping
• Align organizational structure & goals
• Optimize infrastructure
• Test, rinse, repeat
27
Technology – Ancestry Present (<1 minute)
Data
Email Service
Provider
Onsite Display Ad
Server
Offsite Display
Platform
3rd Party
DMP
3rd Party
Tag Mgr
AdWords RLSA
Facebook WCA
Technology – Why Latency Matters
0-1 Hour 1-3 Hours 3-4 Hours 24+ Hours
60%
16%
8%
5%
Incremental Abandon Cart Volume By Send Time
Facebook
• Website Custom Audience List
 NOT just remarketing
 Recent audiences
 Tag Management tool for conditional fire
• “Traditional” Custom Audience List
 Campaigns
 Behaviors from 3+ mos ago
 Automate every x days
• Tie into Campaigns
AdWords RLSA
• Not display remarketing
• Can be used to enable specific messaging
for brand searchers
• Use tag manager to define audiences
based on meaningful criteria
• Focus on persistent categorizations
• Results:
 Relevant messaging – Members only offer
 Reduction in wasted brand SEM spend
 Improvement in upsell rate
Testing: Target Frequency
• For each messaging strategy & channel, test:
 Lift by count of impressions: Do you even need channel x to exhaust a
given messaging opportunity?
 LTR per 1K impressions
• Many channels won’t make sense for some messages

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Mark Fiske - Programmatic As A Retention Driver

  • 1. Programmatic as a Retention Driver Mark Fiske, VP Channel Marketing, Ancestry October 1, 2015
  • 2. About Ancestry • Ancestry is the world's largest online family history resource. We are dedicated to helping everyone discover, preserve and share their family history. • 11 Brands and presence in 9 markets • >2MM paying subscribers • >16 Billion records • >70 Million family trees containing >6 Billion profiles • ~35 MM visits/month (Comscore) 2
  • 3. The Promise of Programmatic Realized 3
  • 6. 6 Customer Insights: Advanced “User ID ABC123 clicked on page ID 376239, hovered mouse for 14 seconds over the headline, clicked “add to tree”, entered custom comment, hovered mouse for 6 seconds, clicked “share,” shared to six email addresses, clicked “submit,” clicked “home,” hovered mouse over pending suggestions for 10 seconds, clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds, rejected pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to suggestion ID 983290, clicked “submit,” clicked “home,” hovered mouse over pending suggestions for 4 seconds, clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds, rejected pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to suggestion ID 983290, clicked “home,” hovered mouse over pending suggestions for 9 seconds, clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds, rejected pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to suggestion ID 983290, clicked “home,” hovered mouse over communications tab for 6seconds, clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds, rejected pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “add to tree” to suggestion ID 983290, clicked “home,” hovered mouse over pending suggestions for 11 seconds, clicked “review,” rejected pending suggestion ID 194829, hovered mouse for 4 seconds, rejected pending suggestion ID 128403, hovered mouse for 6 seconds, clicked “pedigree view” on ID 983290 clicked “home,” hovered mouse over pending suggestions for 2 seconds, clicked “review,” rejected pending suggestion ID…”
  • 7. 7 Customer Experience: Well… Let me show you that product again… 37 times
  • 8. So, what has changed with technology? • Ways in which we can identify behaviors • Ability to communicate on a 1:1 basis like never before • Sheer quantity of channels in which we can communicate with customers • Ability to leverage media once only seen as “acquisition/branding”
  • 9. And yet… Show of hands… In my company, CRM is… Cumulative Touches/week Email 1.5 Email + On-Site Banner 7 Above + Mobile Push 8 Above + Off-Site Programmatic 32 Above + AdWords RLSA 34 Above + Facebook WCA 49 Above + Direct Mail 50 97% of Opportunity Missed
  • 10. Programmatic as CRM Driver 10
  • 11. Defining Channel<->Message Interaction • Test into target frequency by message • Understand what is/is not profitable by channel • Apply Common Sense • Define media channel mix per segment/message based on expected RPM  “R” is important! Retention & frequency have value, know it!  Test & Control
  • 12. Testing: Profitability • Target frequency of 16 per person before wasting impressions • Message-level LTR/1000 impressions = $1.37 Channel Channel Touches/week Cost/1000 Email 1.5 $0.01 Email + On-Site Banner 5.5 $0.02 Above + Mobile Push 1 $0.03 Above + Off-Site Banner 24 $1.00 Above + AdWords RLSA 2 $1.30 Above + Facebook WCA 15 $1.40 Above + Direct Mail 2 $300 No further return on impressions Unprofitable
  • 13. Sample Interaction Mapping 13 Communication Segment Email Site Banner Program. Banner Facebook Newsfeed - Cust. Aud FB Newsfeed - Pixel Postal Mail Mobile Push AdWords Brand RLSA “Hints” – Engagement/Retention “Message Waiting” – Engagement/Retention Recently Canceled – Timed Reactivation Free Trialer - Education Military Searcher – Cross-Sell Global Interest - Upsell Campaign – Free Access Card Decline - Transactional
  • 15. This Org Isn’t Bad… 15 CMO Channels SEM Display FB Etc CRM Email Campaigns PR Partnerships Earned Outreach
  • 16. So Long as Shared Goals 16 Team Old Goal New Goal Channels X New Subscribers $X LTR CRM Y Reactivations Z New Subs N Churn Decrease $Y LTR PR P Pieces picked up Z Reach $Z LTR* This Org Isn’t Bad… • Testing key to understand LTR impact of ‘contributor Events’  X decrease in churn  Per piece mailed • Budget Accordingly: Stop thinking of retention as free
  • 18. Uniform Definition of Customer • Define who owns customer segment logic • Create one source with mappings across all customers/prospects • Open System: Consumers can feed data in / data out  Flat File  API  Accessible to website services 18
  • 19. Reinventing Approach: Test, Rinse, Repeat • Your current marketing experience is likely the product of years of testing • Start with obvious • Develop iterative testing process • Expect & encourage failure 19
  • 20. One of Dozens of Use Cases At Ancestry… 20 Email On-Site Display Off-Site Display Social Mobile
  • 21. And it works! 21 • Significant lift vs. control groups receiving messaging via solely email channel • As with all media, granular testing achieves best results Control Exposed Lift Registrants 0.0% 1.2% N/A Current Free Trialers 16.2% 26.8% 65.4% Previous Trialers 0.0% 1.4% N/A All Others 7.5% 8.3% 10.7% TOTAL 5.9% 9.4% 58.9% Conversion Rate Ancestry Current Previous All Registrant Free Trail Trialer Others Previous Subs Current Subs Control 0.0% 16.2% 0.0% 7.5% 0.0% 76.0% Exposed 1.2% 26.8% 1.4% 8.3% 8.3% 79.9% Generic 1.3% 21.1% 1.8% 10.4% 10.7% 82.1% Specific Hint counts 1.2% 27.5% 1.4% 8.0% 7.9% 79.6% 1 0.5% 24.8% 0.7% 3.4% 4.2% 73.1% 2 0.6% 27.1% 0.9% 5.1% 4.5% 72.9% 3 0.7% 21.9% 0.4% 4.4% 4.4% 70.6% 4 0.7% 23.9% 0.8% 4.1% 4.8% 72.1% 5 0.7% 24.4% 0.8% 6.3% 3.8% 70.9% 6 0.9% 26.2% 1.3% 4.7% 4.7% 72.5% 7 1.3% 26.1% 0.9% 4.5% 4.6% 72.8% 8 1.1% 32.9% 1.0% 4.9% 6.2% 72.2% 9 1.1% 27.7% 0.9% 4.4% 6.3% 75.5% 10 1.2% 29.1% 1.1% 7.0% 6.2% 75.1% 11 1.6% 30.4% 1.3% 6.6% 6.8% 73.7% 12 1.6% 31.3% 2.0% 6.0% 5.8% 73.8% 13-23 1.5% 25.0% 1.1% 6.3% 5.9% 74.5% 24-99 1.9% 29.0% 1.3% 7.3% 6.0% 78.2% 100-199 2.7% 30.4% 2.0% 10.9% 7.7% 81.8% 200+ 2.4% 27.8% 2.3% 12.3% 8.4% 81.5% 1000+ 3.4% 31.5% 3.2% 18.7% 15.0% 86.7% Registrants (Never Subscribed)
  • 22. Take-Aways • Thinking of programmatic as a retention driver can increase engagement opportunities 97% • Aligning teams around LTR goals creates common language without significant organizational change • Test into optimal frequency, channel by message to define interaction mapping 22
  • 23. Thank you, questions Mark Fiske @thefiske
  • 25. Technology Key • Focus on ETL times, system of record  Near-real-time key, hours not an option • Tag Management System  Sounds so 2010, but needed for conditional logic • Data Management Platform  Not just display any more 25
  • 26. Technology – Ancestry Past (24-48 hours) Data FTPBIT 24 Hour Wait Web Analytics Tool Web Analytics Data Feed Rest API Marketing Segmentation Tool Email Service Provider Onsite Display Ad Server Offsite Display Platform Processing
  • 27. The RX for 1:1 multichannel success (in this order) • Focus on core customer value proposition • Develop interaction mapping • Align organizational structure & goals • Optimize infrastructure • Test, rinse, repeat 27
  • 28. Technology – Ancestry Present (<1 minute) Data Email Service Provider Onsite Display Ad Server Offsite Display Platform 3rd Party DMP 3rd Party Tag Mgr AdWords RLSA Facebook WCA
  • 29. Technology – Why Latency Matters 0-1 Hour 1-3 Hours 3-4 Hours 24+ Hours 60% 16% 8% 5% Incremental Abandon Cart Volume By Send Time
  • 30. Facebook • Website Custom Audience List  NOT just remarketing  Recent audiences  Tag Management tool for conditional fire • “Traditional” Custom Audience List  Campaigns  Behaviors from 3+ mos ago  Automate every x days • Tie into Campaigns
  • 31. AdWords RLSA • Not display remarketing • Can be used to enable specific messaging for brand searchers • Use tag manager to define audiences based on meaningful criteria • Focus on persistent categorizations • Results:  Relevant messaging – Members only offer  Reduction in wasted brand SEM spend  Improvement in upsell rate
  • 32. Testing: Target Frequency • For each messaging strategy & channel, test:  Lift by count of impressions: Do you even need channel x to exhaust a given messaging opportunity?  LTR per 1K impressions • Many channels won’t make sense for some messages

Hinweis der Redaktion

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  3. http://www.istockphoto.com/photo/cloud-computing-networking-concept-25772157?st=8fd905
  4. Acquire, acquire, acquire!
  5. Ways in which we can target technologies “I want to buy 5MM impressions next week” “I want to buy 2MM impressions of men age 18-40” next week “I want to buy 2MM impressions of men age 18-40” next week “I want to talk to user ID 1234 on email, Facebook, YouTube and ads across on newspaper sites
  6. Target frequency by message – campaign vs. winback Common sense – card declined banner ads? Think not!
  7. ACOM Winback meant something different – message continuity Consumers of those mappings can transform after fact, but at least that way all channels start from same point
  8. Extract, transform, load
  9. Ways in which we can target technologies “I want to buy 5MM impressions next week” “I want to buy 2MM impressions of men age 18-40” next week “I want to buy 2MM impressions of men age 18-40” next week “I want to talk to user ID 1234 on email, Facebook, YouTube and ads across on newspaper sites
  10. Ways in which we can target technologies “I want to buy 5MM impressions next week” “I want to buy 2MM impressions of men age 18-40” next week “I want to buy 2MM impressions of men age 18-40” next week “I want to talk to user ID 1234 on email, Facebook, YouTube and ads across on newspaper sites
  11. Ways in which we can target technologies “I want to buy 5MM impressions next week” “I want to buy 2MM impressions of men age 18-40” next week “I want to buy 2MM impressions of men age 18-40” next week “I want to talk to user ID 1234 on email, Facebook, YouTube and ads across on newspaper sites
  12. Ways in which we can target technologies “I want to buy 5MM impressions next week” “I want to buy 2MM impressions of men age 18-40” next week “I want to buy 2MM impressions of men age 18-40” next week “I want to talk to user ID 1234 on email, Facebook, YouTube and ads across on newspaper sites