Magic math without the gatekeepers.

MMM and incrementality usually live behind consultants, SOWs, and blind dashboards. Hyprtell turns that service layer into software you run yourself: it wrangles your media data, runs the models, talks you through it, and turns the outputs into moves you make with a tap.

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Hyprtell's action cards: a recommendation to shift budget from Google Ads to Meta, ready to approve or discuss with HyprAI.

Read the signal. Make the move.

No passive dashboards. Action cards turn complex econometrics into plain-English moves. Swipe through them, tap the one that matters, and Hyprtell makes the change in the platform with your approval. Not ready to act? Talk it through with HyprAI, or share it with your clients, team, or board.

Hyprtell's Lab running a data depth scan: data coverage, data per channel, spend variation and channel independence checks.

A HyprAI chat answering which channel performs best, comparing return on ad spend for Meta Ads and Google Ads.

Talk to your data directly.

How many analysts does it take to answer "what's actually working?" Ask HyprAI. It reads your data, models, and platform health, answers in plain English while the question's still warm, and flags connector and model setup issues too. Your own ad ops and analyst, in your pocket.

Not enough data? No problem.

Punch above your weight like a HoldCo, on a solopreneur budget. HyprAI checks whether your accounts have the data depth MMM needs, shows what's missing, and alerts you when they're ready. Until then, baseline heuristics and incrementality testing keep you moving.

Hyprtell's media mix model: expected versus actual conversions, model fit scores and each channel's contribution.

MMM without the SOW.

MMM has always been sold like a kitchen remodel: scope it, sign a SOW, wait a quarter, then pay again to refresh it. Hyprtell runs open-source MMM as software. Connect your ad accounts and it trains on your real spend, then retrains itself. Model health in full view, no black box. Read the library, fork it, see for yourself.

BYOM

Hyprtell runs Meridian and Meridian GeoX, Google's open-source MMM and geo-testing libraries, from day one. More models are coming, so you can run the one you prefer: Bring Your Own Model.

A geo lift test result in Hyprtell's Lab: switching off paid media in 7 test regions shows the ads drove 21.3% of expected conversions, about 1,111, a significant result.

Incrementality, off the shelf.

Attribution tells you who clicked. A geo lift test tells you what your ads actually caused, without platforms grading their own homework or weeks of vendor market-matching. Hyprtell's test runs on Meridian GeoX, Google's open-source geo-testing library: designed in about two minutes, scored when it closes.

Better together: Two engines, one ground truth.

Your MMM shows where the budget could work harder. A geo lift test shows whether the channel you're about to cut was earning its keep. Two engines calibrating each other: ground truth, fast.

Zero Cookie Party.

Hyprtell doesn't follow anyone around the internet. Built for economic opportunity, not customer surveillance. Both engines run on the aggregate spend and results your ad platforms already report: cookieless by design.

Pricing

No feature gates. No enterprise tier. No seat tax.

Solopreneur, agency, or holding company, you get the same product.

$XX/mo

to start

Up to $XX/mo in ad spend

A poster of a woman holding a hammer under the Hyprtell name: "Please join us to explore and challenge your idea of media."

Become a Hyprtell Situationist.

We're building this with operators, not for them. Situationists get in before launch, break things on purpose, and tell us what's wrong while it's still cheap to fix.