When Mama has enough customer data to publish from, this is where the reports will live. We're not publishing speculation in the meantime. The first report ships August 2026 with at least 50 customer workspaces' worth of anonymized data behind it — that's the bar we set ourselves, and we'd rather miss the date than hit it with thin numbers.
Useful outbound research needs three things: real customer workspaces, enough volume to anonymize cleanly, and enough time to see what reply rates actually look like across signal types. Here's the path.
Each one anchors on a question the consultancy clients used to ask us, and we used to answer with our gut. Now we'll have data.
We'll measure reply rates on signal-anchored emails sent on day 1, day 3, day 7, day 10, day 14, day 21, day 30 after a funding round announcement. Hypothesis: day 7–10 outperforms day 1–3, contrary to "be first" conventional wisdom. We'll publish the numbers either way.
Funding signals fade fastest. Tech-stack-change signals stay loud longest. We'll plot the decay curve for each signal category against open rate and reply rate, so teams can stop guessing at "how stale is too stale".
New VP RevOps vs new CRO vs new Head of Sales — does the outreach window differ? We expect yes (CRO transitions take longer to settle than IC-VP appointments), and we'll publish the numbers per role.
If you have to pick: one loud signal (e.g. Series B) or three quieter ones (hiring + exec + stack change) firing on the same account — which converts better, and by how much? We'll report the answer, with the regression behind it.
A category-level look at how often each signal type is a true positive vs a false alarm. Useful for teams deciding which signal types to actually pull into their workflow vs ignore as noise.
The big one. Benchmarks across reply rate, booked-meeting rate, signal-mix effectiveness, and channel performance — the kind of report we wish existed when we were running campaigns ourselves.
Because there's already too much of that, and most of it isn't grounded in real data. "Benchmark reports" from outbound vendors usually come from a customer survey of 50 people, or worse, from scraping public data and treating averages as predictions.
We'd rather wait until we can publish numbers from real campaigns running in our product, with the methodology in the appendix, and let the report stand on its own.
If that costs us the SEO win of being first, fine.
One email per report. No drip campaign, no upsells. If a report you flagged ends up being thinner than we'd hoped, we'll tell you in the email and recommend a related one.