The team at @GainbridgeLife wasn't just looking for a one-off testing win. They partnered with Haus to build a durable, continual testing program.
Here's how they did it. ⬇️
Jul 23, 2026 · 4:10 PM UTC
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First, the team came in with clear hypotheses:
- Brand search might not be incremental.
- Non-brand search was likely driving meaningful lift, but perhaps inefficiently.
- Paid social looked promising, but they needed causal proof before scaling it.
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Test #1: Brand Search
This 3-week test showed basically no incremental lift from brand search. That gave Gainbridge confidence to pull back spend and look for better opportunities elsewhere.
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Test #2: Paid Social
This test found a roughly 6% incremental lift at strong efficiency. Gainbridge now had evidence to reallocate budget out of brand search and into a channel that was actually driving growth.
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Test #3: Non-Brand Search
This test found a 20% incremental lift — a strong result that validated the channel’s importance while also raising a new question: where inside non-brand search was the most value coming from?
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Tests #4 and #5: Keyword Cluster Tests
Gainbridge split non-brand search into CD and annuity keyword clusters. The hypothesis was that CD-related terms would prove more valuable. But the results showed annuity keywords were more valuable than expected and represented the strongest opportunity for continued scaling.
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Next step? Testing into other more channels, such as CTV and YouTube, to understand their role in the mix.
Read the full story here: haus.io/customer/gainbridge
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