Performance and ROI Signals
Across 44 marketing automation vendors, ROI proof is shifting from vanity metrics to channel-comparative benchmarks, with Factors.ai, Dreamdata, and Later all publishing proprietary datasets that frame their platform as the measurement layer—not just the execution tool.
What Spydomo is seeing
A consistent pattern across this cluster is vendors instrumenting their own customer data to produce benchmark reports that reframe competitor channels as underperforming—Factors.ai cites LinkedIn ROAS at 1.8x Google efficiency, Dreamdata publishes 121% ROAS with a 272-day B2B journey, and Mailchimp anchors a 30x revenue ROI claim to a lean-team use case. Buffer is doing the same on organic, mining 2.5M Threads posts and cross-platform engagement studies to surface posting-time and format prescriptions that only their data scale can generate. The underlying move is the same: own the benchmark, own the buying conversation.
Why it matters
When vendors control the benchmark data, they define what 'good' looks like—and that becomes a structural moat against competitors who can only offer feature comparisons. For a founder or PMM competing in this space, content that cites third-party benchmarks is now at a disadvantage against players publishing first-party data at scale. The question is whether your platform is sitting on behavioral data that could reframe channel or format decisions the way Dreamdata is doing with B2B journey length—and if so, why isn't that data public yet?
Representative examples
Real signals from the companies driving this pattern.
No examples yet — synthesis is still being generated.
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