How Crazy Compression drove more revenue with fewer sends and better engagement
See how two behavior-based triggers added an automated revenue stream on top of an already-busy daily campaign schedule.
High volume, low intent
Crazy Compression had already built a strong baseline with daily campaign blasts. Over a three-month period those manual campaigns pushed out 14.39 million emails.
The volume worked, but the efficiency did not. Campaign click-through hovered at 0.183%, and past purchasers received the same generalized offers as subscribers who had never bought, leaving the brand's most valuable segment underserved.
Behavioral triggers
Rather than blasting the entire list, two behavior-based flows watched for high-intent signals — clicks and opens inside 7 to 90-day windows — and sent only when a subscriber showed them.
Maximizing lifetime value
Customers who had already bought were the most valuable audience to personalize for. Hitting them on their own engagement signals beat the campaign baseline on every metric.
Continuous optimization with every Allan send
Each trigger measured against the campaign baseline over the same three months.
| Source | Delivered | Open rate | Click rate | Rev / recipient (indexed) |
|---|---|---|---|---|
| Past purchaser trigger | 1.56M | 69.67% | 0.332% | 2.5× |
| Non-purchaser trigger | 3.68M | 62.20% | 0.226% | 0.9× |
| Static campaigns | 14.39M | 61.33% | 0.183% | 1.0× |
A self-optimizing revenue stream
By layering behavior-driven flows on top of their static campaign schedule, Crazy Compression added a materially more efficient revenue stream without increasing send pressure on the list.
More importantly, they created a self-optimizing engine that maximizes the lifetime value of their most loyal customers while steadily chipping away at the notoriously difficult non-purchaser segment.
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