MemoLogs is a marketing decision platform built on two things the category never put together: causal proof and institutional memory. We exist because marketing's tools got extraordinarily good at measuring — and never learned to decide, or to remember what they decided last time.
A modern marketing team runs more instrumentation than a mid-size bank — and still argues about what worked. Three failures compound underneath, and every one of them charges you twice: once when it happens, and again when it happens next year.
Platforms grade their own homework, so reported conversions arrive structurally over-counted. Every downstream budget call inherits that error — you aren't optimizing, you're calibrating on fiction.
Traditional media-mix modeling explains last quarter to this quarter's meeting. By readout day the market has moved twice, and the answer has already expired.
The reasoning behind a call lives in a deck, a thread, and one person's head. When that person leaves, the organization pays full price to discover the same thing again.
Measurement without memory is a treadmill. Prove what actually worked, keep the reasoning attached to the result, and every quarter should start smarter than the last one — that is the product.
Not five tools sold as a suite — five products reading and writing to the same causal record. Every verdict one product reaches becomes context the other four are allowed to use.
These aren't values on a wall. Each one shows up as something the product refuses to do.
Every recommendation traces back to an experiment or a causal model — never to a last-click credit a platform assigned itself. If we can't show the counterfactual, we don't call it lift.
Every verdict carries a trust state, and the platform declines when the data can't defend a conclusion. A confident answer on thin evidence is the most expensive thing software can hand a marketer.
We record what was decided, what it was based on, and how it turned out. Charts describe the past; a decision record is what lets the next person inherit judgment instead of re-deriving it.
Flat fee, never a percentage of media spend. We get paid identically whether the honest answer is to scale a channel or to shut it off — which is the only way “spend less here” stays a sentence we can say.
Customer integration data is not used to train generalized AI or machine-learning models unless a customer separately agrees to it. What your account teaches the system stays yours.
Most of what shapes a platform is decided by what it rules out. Here are both columns, plainly.
Know what actually works. Every campaign. Every dollar.
The MemoLogs operating principle
How we handle data is written down, not implied — see the Privacy Policy and Terms and Conditions.
A 30-minute scoping call, then a 90-day pilot measured the same way every case study on this site was.
