According to a recent LinkedIn post from Bonsai, the company ran an incrementality test on paid social for an unnamed Fortune 500 brand. The post describes a comparison between Meta’s native bidding and a combination of Meta with Bonsai’s predictive bidding, using two matched markets with the same timeframe, creative, and audience.
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The company’s LinkedIn post highlights that the test reportedly increased average daily leads from 28 to 58 when using Bonsai’s predictive bidding approach. The post further suggests that incrementality testing not only captured lift in leads but also indicated where profit levels were sustained and where diminishing returns emerged.
For investors, this case study points to Bonsai’s focus on measurement-driven performance in digital advertising, particularly around causality rather than platform-reported metrics alone. If results of this type are repeatable at scale, the technology could enhance Bonsai’s value proposition to large enterprise advertisers and potentially support pricing power or customer retention.
The emphasis on incrementality testing also positions Bonsai within a broader shift in marketing analytics toward causal measurement and optimization. This may help the company differentiate in a crowded performance marketing tools landscape and could support growth prospects if it can convert similar tests into long-term commercial relationships with large brands.