Cardlytics
Case Study
Cardlytics uses purchase 
intelligence to make 
marketing more relevant 
and measureable while 
strengthening the role 
banks play within the flow 
of commerce. By leveraging 
purchase insights to 
answer pressing marketing 
questions, Cardlytics has 
linked together some of the 
biggest names in banking 
and advertising. 
Founded in 2008 and based in Atlanta, 
Georgia, Cardlytics has experienced 
tremendous growth and now partners with 
financial institutions such as Bank of America, 
PNC Bank, Regions Bank and Fiserv.
These partnerships work well, given financial 
institutions’ desire to oer their customers 
value in the form of cash-back rewards on the 
things they like to buy. Cardlytics’ proprietary 
native online and mobile banking channel 
enables advertisers to deliver relevant oers 
to financial institution customers based on 
actual purchase behavior. This not only drives 
advertisers’ loyalty amongst their customers, 
but also helps financial institutions increase card 
usage, decrease attribution, and build their own 
customer loyalty. Oers are securely distributed 
across a customer’s digital banking experience. 
Objective
Migrate to a new, scalable analytics 
platform to accommodate a data-
intensive company undergoing rapid 
growth 
Approach
Researched, evaluated and selected new 
analytic database platform 
IT Matters
• Capacity to increase the amount of data 
records added on a weekly basis by 
10x—an additional 2 billion data records, 
up from 200 million per week in the past  
• Typical returns on queries reduced from 
up to 40 minutes to only one-half or one 
minute on average, up to 40-to-80x faster  
• 100% reliable/stable—eliminated 
the need to do weekly back-ups and 
maintenance indexing, reducing 
operational support time by 90% 
• Ability to easily scale out as needed 
Business Matters
• Increased average customer pipeline 
10x: 200 new advertiser prospects on a 
weekly basis, up from 20 per week on 
legacy platform, with the ability to scale 
out to reach many more customers 
• Achieved return on investment in just 
three months 
• Met same-day rapid customer response 
instead of overnight 
• Increased inventory of advertising oers, 
which results in increased revenue 
• Reduced operational overhead by 90% 
and can now re-assign personnel from 
maintenance to revenue-focused analytics  
• Increased revenue resulting from more 
advertisers participating in rewards 
programs 
• Improved customer loyalty for retail-facing 
financial institution customer bases 
HPE Vertica Analytics 
Platform ready to grow 
with Cardlytics 
Platform accommodates large volumes of data 
and provides fast returns on queries 




