Capital One
CASE STUDY
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Capital One

Capital One Case Study

2,310
Total Conversions
$346,500
Total Conversion Value
$23.75
Average CPA
5.2x
Return on Ad Spend
Company
Capital One
Campaign Type
Sales/Deposits
Industry
Finance
Case Timeline
60 days
Strategy
Used Blockchain-Ads' behavioral targeting graph to identify and convert financially interested users across the US, Canada, and UK.

Capital One is a leading financial services platform. The company aimed to enhance credit product conversion quality and maximize return on advertising spend. Capital One used Blockchain-Ads to implement advanced behavioral targeting and exceed traditional lead generation metrics in the financial sector.

Campaign Overview and Strategy

Capital One conducted a multi-regional campaign using Blockchain-Ads' interest graph model to identify and convert financially interested users. The campaign targeted audiences in the US, Canada, and UK, focusing on financial literacy content, credit product comparisons, and savings tools.

  • Behavioral Signal Segmentation: Targeted users actively comparing credit card features, reading APR guides, and exploring "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: Emphasized crypto cashback rewards, no annual fee cards, and seamless cross-platform access in mobile ad formats.
  • Regional Focus: Deployed language-specific creatives tailored for American, Canadian, and British audiences with culturally relevant messaging.
  • Retargeting Funnel: Delivered personalized creatives based on previous site behavior, such as "Still comparing credit cards? Here's what sets us apart," which resulted in 38% 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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Active State

Why It Worked

  • Precise Behavioral Targeting: Using real-time behavioral data to identify high-intent users, surpassing the limitations of demographic or interest-only targeting.
  • Dynamic Retargeting: Personalized ad experience based on user journey stages, significantly boosting conversion rates.
  • Localized Creative Delivery: Tailored messages and creatives for each region, enhancing relevance and engagement among diverse audiences.
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Conclusion

Capital One's campaign success was built on leveraging Blockchain-Ads' behavioral graph to precisely identify and convert financially interested users. By focusing on real user actions and retargeting strategies, Capital One achieved high Return on Ad Spend and exceeded industry lead generation benchmarks in the financial sector. This approach demonstrates how data-driven behavioral targeting can deliver superior customer acquisition results for financial brands.

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