Radical Transformations
How American Express reimagined the customer experience with a data-driven approach to optimization
Sa Sabrin ina Pas asin ini Senior Marketing Manager American Express Sele Selena Bl Blue Manager of Editorial Content MECLABS
Radical Transformations How American Express reimagined the customer - - PowerPoint PPT Presentation
Radical Transformations How American Express reimagined the customer experience with a data-driven approach to optimization Sa Sabrin ina Pas asin ini Sele Selena Bl Blue Senior Marketing Manager Manager of Editorial Content American
Radical Transformations
How American Express reimagined the customer experience with a data-driven approach to optimization
Sa Sabrin ina Pas asin ini Senior Marketing Manager American Express Sele Selena Bl Blue Manager of Editorial Content MECLABS
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@s_e_pasini Sabrina Pasin ini Senior Marketing Manager American Express
As Senior Manager of Digital Acquisition at American Express, Sabrina manages the delivery of innovative and high-profile Web projects that maximize the performance and user experience of the American Express Consumer Card website. This has included
as well as an optimization roadmap to operationalize big data for real-time targeting. Pasini has been with American Express for more than five years and has held a variety of key roles in the digital acquisition group.
About American Exp xpress
107.2
million cards-in-force FORTUNE 500 RANKING: 90
employees worldwide
62,848
$33
billon in annual revenue
countries
130+
More than 20 credit cards
The Challe llenge: Transforming dig igit ital l exp xperiences
Rethink the digital experience Ditch educated guesswork for testing Implement strategic
roadmap Deliver targeted and personalized experiences
Challe llenge: Transforming dig igit ital l exp xperiences
Rethink the digital experience Implement strategic
roadmap Ditch educated guesswork for testing Deliver targeted and personalized experiences
How do you accomplish this?
Testin ing progression
Expert Judgment A/B Testing Multivariate Testing Segment-based Multivariate Testing
Step 1. . Exp xpert ju judgment
Step 1. . Exp xpert ju judgment
Testin ing progression
Expert Judgment A/B Testing Multivariate Testing Segment-based Multivariate Testing
Step 2. . A/B /B testing
11Bac Background: Test the existing Card Member-focused homepage with treatments featuring three and four cards in the hero section. Ob Objective: To increase card application conversion rate. Prim rimary ry Res esearch Qu Question: Which page emphasis – specific popular cards or balanced selection across portfolios – will result in higher conversion rates? Tes est t Des Desig ign: 100% redirect from Current Cards Landing to 3 Cards Landing – 4% random, 5% default and 91% targeted
Experiment Research Notes:
Step 2. . A/B /B testing
Control
Step 2. . A/B /B testing
Control Treatment 1
Step 2. . A/B /B testing
Control Treatment 1 Treatment 2
Step 2. . A/B /B testing
Control Treatment 1 Treatment 2
Step 2. . A/B /B testing
Control Treatment 1 Treatment 2
Resulted in No Clear Winner
Testin ing progression
Expert Judgment A/B Testing Multivariate Testing Segment-based Multivariate Testing
Step 3. . Mult ltivariate testing
18Bac Background: Test for further improvement on Treatment 1 from the previous A/B test. Ob Objective: To increase card application conversion rate. Prim rimary ry Res esearch Qu Question: Will optimizing each of the key elements on the page drive engagement and increase conversion rate? Tes est t Des Desig ign: Full-factorial MVT with six elements for a total of 256 variations. With business exclusion applied, a a to total of
144 experie iences ar are te tested.
Experiment Research Notes:
Step 3. . Mult ltivariate testing
Variable #1. Color scheme
Step 3. . Mult ltivariate testing
Variable #2. Page navigation
Step 3. . Mult ltivariate testing
Variable #3. Calls-to-action
Step 3. . Mult ltivariate testing
Variable #4. Comparison tab
Step 3. . Mult ltivariate testing
Variable #5. Lower tool section
Step 3. . Mult ltivariate testing
Variable #6. Tool in tab
Step 3. . Mult ltivariate testing
Which combination won?
Step 3. . Mult ltivariate testing
Winning Combination Control
Step 3. . Mult ltivariate testing
Winning Combination
In Increase in Conversion Rate
Control
Ranki king of MVT treatment result lts
Control Winning Combination 1
144
Ranki king of MVT treatment result lts
144 119 Control 1 Winning Combination
The next xt frontier
One-size-fits-all in interactions Experiences customized to mic icrosegments
Testin ing progression
Expert Judgment A/B Testing Multivariate Testing Segment-based Multivariate Testing
Bala lancing Act: Busin iness prio iority vs. . customer needs
Higher Value Lower Combined Value
Segmentation process
3rd Party Model Scores Offsite Media Prospect Data Customer Data Site Activity
Step 1. Track and Identify Prospect Traits COOKIE: 1048379205
Segmentation process
3rd Party Model Scores Offsite Media Prospect Data Customer Data Site Activity
Step 1. Track and Identify Prospect Traits COOKIE: 1048379205 Step 2. Combine Traits into Segments
Segmentation process
3rd Party Model Scores Offsite Media Prospect Data Customer Data Site Activity
Step 1. Track and Identify Prospect Traits COOKIE: 1048379205 Step 3. Displays Custom Content in Real Time Step 2. Combine Traits into Segments
Step 4. . Segment-based mult ltiv ivaria iate testin ing
36Bac Background: Test personalized homepages for a customer-centric experience. Ob Objective: To increase response and conversion rate. Prim rimary ry Res esearch Qu Question: Will targeting cards to profiles that may have an affinity for these products increase clickthrough and conversion rates? Tes est t Des Desig ign: Target created four campaigns: 100% Redirect from Current Cards Landing to 3 Cards Landing – 4% random, 5% default and 91% targeted.
Experiment Research Notes:
Step 4. . Segment-based mult ltiv ivaria iate testin ing
Match “Member Story” to featured product Display next- highest valued products Feature the winning product
Step 4. . Segment-based mult ltiv ivaria iate testin ing
Control Treatment
Step 4. . Segment-based mult ltiv ivaria iate testin ing
Control Treatment
In Increase in Conversion Rate
Segmentation example
St Step 1. 1. Cookie assigned
Segmentation example
St Step 1. 1. Cookie assigned
Assig igned Co Cookie ie: 87 8762 6209 09479 795 Prospect: Rob
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival
Interest: Travel
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival St Step 3. 3. Customized Card homepage presented
Interest: Travel
Interest: Travel
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival St Step 3. 3. Customized Card homepage presented
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival St Step 3. 3. Customized Card homepage presented St Step 4. 4. Prospect continues to search website
Interest: Travel
Interest: Travel
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival St Step 3. 3. Customized Card homepage presented St Step 4. 4. Prospect continues to search website
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival St Step 3. 3. Customized Card homepage presented St Step 4. 4. Prospect continues to search website St Step 5. 5. Newly acquired traits assigned to prospect
Interest: Travel
Interest: Travel
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Card homepage arrival St Step 3. 3. Customized Card homepage presented St Step 4. 4. Prospect continues to search website St Step 5. 5. Newly acquired traits assigned to prospect
Intent: Cashback
Cashback
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Cards homepage arrival St Step 3. 3. Customized Cards homepage presented St Step 4. 4. Prospect continues to search website St Step 5. 5. Newly acquired traits assigned to prospect St Step 6. 6. Updated Cards homepage presented
Interest: Travel Intent: Cashback
Intent: Cashback Interest: Travel
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Cards homepage arrival St Step 3. 3. Customized Cards homepage presented St Step 4. 4. Prospect continues to search website St Step 5. 5. Newly acquired traits assigned to prospect St Step 6. 6. Updated Cards homepage presented
Segmentation example
St Step 1. 1. Cookie assigned St Step 2. 2. Traits tracked before Cards homepage arrival St Step 3. 3. Customized Cards homepage presented St Step 4. 4. Prospect continues to search website St Step 5. 5. Newly acquired traits assigned to prospect St Step 6. 6. Updated Cards homepage presented
Interest: Travel Intent: Cashback
The new optim imization roadmap
Layout
A/B TestFunctionality/UX
Multivariate TestingProduct
A/B/n TargetingSegmentation
Cluster AnalysisExperience
Segmentation & Personalization IIPositioning
Segmentation & Personalization INew Accounts Time
Relevant Product Incentive Strategy Messaging/ Customer Journey
Enablin ing personali lized exp xperie iences usin ing big ig data
Estim imated result lt of personalization
Increase in estimated revenue of build business acquired by 2015
Overall ll result lts for optimization proje ject
Nominated for The American Express President Award for Innovation in 2013. Earned American Express the 2013 Internet Advertising Competition Award for Outstanding Achievement in Internet Advertising. The new site scored first place in Forrester’s 2013 US Credit Card Online Sales Rankings.
Key takeaways
Put customers first Let the data do the work for you Never stop improving
Thank you
Sabrina Pasin ini Senior Marketing Manager Americ ican Exp xpress @s_e _e_pasin ini Sele elena Blu Blue Manager of
itorial l Con Conten ent MECLABS @Se Selen enaLBlu lue
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