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— Case Study · e360Insight

AI email personalization that lifted performance 400%.

In the "spray and pray" era of email, we built machine-learning models that predicted who would respond and convert across a 100MM+ database — enabling purely performance-based campaigns. Profitable in three months, then acquired.

Type Startup we built
Company e360Insight
Industry Email marketing / AdTech
Timeframe Founded to acquisition
Situation

"Spray and pray" email, rising spam filters.

In the early 2000s, email marketing was largely "spray and pray" — with no meaningful targeting or personalization. At the same time, spam filters from the major email providers were making it harder for legitimate marketing messages to reach the inbox.

Task

Personalization that lifts performance.

Develop personalization technology that would meaningfully improve email campaign performance by optimizing response and conversion rates.

Action

ML models across 100MM+ records.

We built a series of machine-learning and AI models that accurately predicted response and conversion propensity across a 100MM+ email database.

What we built
  • Data hygiene and data transformation.
  • Model development and validation.
  • Daily scoring across the full database.
  • A targeting engine that could act on the scores in real time.
Result

400% efficiency; profitable in 3 months.

We increased performance efficiency by 400%. The technology let us deliver purely performance-based email campaigns at a time when the traditional cost-per-thousand pricing model was collapsing. e360Insight was profitable in its first three months — and the company was acquired by a leading daily deal site.

The outcome
  • +400% performance efficiency.
  • Profitable in 3 months.
  • Acquired by a leading daily deal site.
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