Case Studies

Rakuten Advertising & Capital One Shopping

Activating first-party data and affiliate partnerships for incremental returns

The Results

Rakuten Advertising approached Capital One Shopping to pilot the industry-first commissioning technology, Audience Engine. At the end of a 3-month trial, the campaign had driven an incremental lift for Capital One and its brand partners. The results included:

+68%

YoY sales growth

+70%

YoY new customer acquisition

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About the Brand

Capital One Shopping is the shopping division of Capital One Bank. They power a suite of shopping experiences that reach and serve cardholders, bank and small business customers, and non-Capital One customers alike. Capital One Shopping makes shopping effortless by aggregating the best deals from across the internet, aiding price comparison with time savings, and compounding consumer confidence with reward points.

The Story

Despite impressive growth over recent years, the Capital One Shopping team faced the challenge of activating their first-party data assets to create better customer experiences while leveraging the pay-for-performance affiliate model underpinning their brand partnerships and success.

At the same time, brands under mandates to do more with less turned to the affiliate channel to innovate during tough times.

The Rakuten Advertising Solution

Rakuten Advertising presented Capital One Shopping with an opportunity to pilot Audience Engine, an industry-first commissioning technology enabling privacy-first targeting and personalization powered by a publisher’s first-party data.

Open Doors to New Partnerships

Capital One leveraged the value of their unique audiences to meet the performance goals of new and existing brand partners.

Activate First-Party Data Assets

Brands can get closer to the people they need to reach through personalized experiences and offers unique to Capital One’s audience segments

Grow Revenue

In a post-cookie world, Capital One was able to carve out new audience revenue streams without relying on additional resourcing for data management or a heavy technical lift.

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