Capital One
CASE STUDY
Case Studies
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Capital One

Total Conversion Value: $346,500 | ROAS: 5.2x | Average CPA: $23.75

2,310
Total Conversions
$346,500
Total Conversion Value
$23.75
Average CPA
5.2x
ROAS
Company
Capital One
Campaign Type
Sales/Deposit
Industry
Finance
Case Timeline
60 Days
Strategy

Used Blockchain-Ads’ behavioral graph targeting to identify and convert finance tagged users across the US, Canada, and UK.

Capital One is a leading financial services platform. They wanted to drive high-quality credit product conversions and maximize return on ad spend. Capital One used Blockchain-Ads to achieve advanced behavioral targeting and outperform traditional finance lead-gen benchmarks.

Campaign Overview

Capital One ran a multi-region campaign using Blockchain-Ads’ interest graph model to identify and convert financially curious users. The campaign targeted audiences in the US, Canada, and UK, with a focus on financial literacy content, credit product comparisons, and savings tools.

Strategy

  • Behavioral Signal Segmentation: Targeted users actively comparing credit card features, reading APR guides, and engaging with “crypto cashback” content.
  • Mid-Funnel Engagement: Focused on users who visited at least two financial service categories or returned to the site within three days.
  • Creative Hooks: Highlighted crypto cashback rewards, no annual fee cards, and seamless cross-platform access in mobile-first ad formats.
  • Regional Focus: Deployed language-based creatives tailored to US, Canadian, and UK audiences for culturally relevant messaging.
  • Retargeting Funnel: Delivered personalized creatives based on prior site behavior, such as “Still comparing credit cards? Here’s what makes us different,” resulting in a 38% share of conversions from retargeted users.

Results

  • Total Conversions: 2,310
  • Total Conversion Value: $346,500
  • Impressions: 18.4 million
  • Clicks: 70,800
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    Why It Worked

    • Precision Behavioral Targeting: Leveraged real-time behavioral data to identify users with high intent, surpassing the limitations of demographic or interest-only targeting.
    • Dynamic Retargeting: Personalized ad experiences based on user journey stages, which significantly boosted conversion rates.
    • Localized Creative Delivery: Adapted messaging and creatives for each region, increasing relevance and engagement among diverse audiences.
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    Conclusion

    Capital One’s campaign success stemmed from harnessing Blockchain-Ads’ behavioral graph to pinpoint and convert financially engaged users. By focusing on real user actions and retargeting strategies, Capital One achieved a strong ROAS and exceeded industry benchmarks for finance lead generation. This approach demonstrates how data-driven behavioral targeting can deliver superior acquisition results for financial brands.

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