# How Epsilon uses H2O.ai

**$9.0M**: “a 1.10% response rate increase on a single campaign generated $9.0M in incremental revenue”

As published on [h2o.ai](https://h2o.ai/case-studies/epsilon-h2o). Captured by usedby on 2026-10-24.

- Company: [Epsilon](https://www.usedby.ai/companies/epsilon.md)
- Tool: [H2O.ai](https://www.usedby.ai/tools/h2o-ai.md)
- Industry: [Marketing Tech](https://www.usedby.ai/companies/industry/marketing-tech-martech.md)
- Teams: Analytics

## The use case: how Epsilon deploys H2O.ai

Epsilon built its "Accelerate" machine learning system on H2O-3 to replace a legacy SAS system for audience targeting. The system builds interpretable models at scale on terabyte-sized datasets to select lists of consumers likely to respond to direct mail offers.

Summary written by usedby from the source page, in English. The figures are those of H2O.ai and Epsilon, not ours.

> The Accelerate system improved direct mail response rates by 3 to 5%, adding roughly 15,000 highly relevant customers to each marketing campaign. For one major gift and B2B retailer, a 1.10% response rate increase on a single campaign generated $9.0M in incremental revenue.

- **3 to 5%**: “The Accelerate system improved direct mail response rates by 3 to 5%”
- **15,000**: “adding roughly 15,000 highly relevant customers to each marketing campaign”
- **8,000**: “The platform now supports 8,000 campaigns annually”
- **100,000**: “Epsilon's Abacus data cooperative builds over 100,000 machine learning models a year”

> In the environment of increasing privacy regulations, the tools Epsilon employs need to provide transparent list selection. H2O.ai help us meet this challenging and critical need.
>
> Andrea Thornton, VP of Analytics

Source: [h2o.ai](https://h2o.ai/case-studies/epsilon-h2o), captured 2026-10-24.

## Other AI tools used by Epsilon

- [AWS Bedrock](https://www.usedby.ai/tools/aws-bedrock.md) — Observed

## H2O.ai users in Marketing Tech

- [MarketShare](https://www.usedby.ai/companies/marketshare.md) — Observed

## What usedby checked

We compared the story with its live page on 2026-10-24.

- Checked: the figure $9.0M is printed word for word on the page, near the name of Epsilon.
- Checked: the passage quoted above is copied word for word from the page, near the name of Epsilon.
- Checked: each number in our summary is printed on the page.
- Checked: Epsilon uses H2O.ai. Confirmed line. Latest check across sources: 2026-10-24.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/epsilon-h2o-ai · How we check: https://www.usedby.ai/methodology