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 oer 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 oers
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. Oers 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 oers,
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

Summary of content (4 pages)