What We've Actually Shipped
These are cumulative production totals across every client engagement since we opened — including engagements that have since ended. Client names are withheld as a matter of policy, not exception: anonymity is part of what our clients buy. The figures come straight from our internal delivery ledger, unedited, with the counting rules stated below so you can judge them.
The totals
- 13,241 buyer contacts researched, de-duplicated and delivered as named lists, for clients in eight different industries — from electronics and cosmetics to lighting, machining and food export — company, contact and email, matched to each client's target channel (distributors, clinics, retailers, importers, purchasing managers)
- 5,607 outreach emails sent on clients' behalf from campaigns we built and ran end-to-end — campaign-level performance is published separately in the first-month results write-up
- 9 social channels published to directly, per client, on an automated schedule (plus one channel of the client's choice)
How we count — so the numbers survive questioning
- Only client-delivered work counts. Anything produced for our own marketing is excluded.
- Ended engagements stay in. Work delivered is work delivered; removing former clients would inflate the average and quietly rewrite history.
- Buyer lists are counted after de-duplication, by company domain — not raw scrape rows, which would roughly double the figure.
- Email sends come from the sending platform's own logs, not our estimates.
- Totals are updated from the delivery ledger; the "as of" date above tells you how fresh they are.
What these numbers don't say
They measure output, not your revenue. Researching 13,241 buyer contacts proves we can build named, de-duplicated lists on a schedule; it doesn't promise your product will sell. For how we treat the difference between our work and a client's results — including a case where the number was large enough to be tempting — read how we handle the $2M attribution question.
Want the per-campaign version of these numbers — open rates, click-throughs, what went wrong included? Start with What Month One Actually Looks Like.