Turn platform lift studies into reusable measurement evidence
Capture Meta, Google, TikTok, clean-room, and platform lift studies as structured records. Tag, search, compare, meta-analyze, and reuse them to calibrate MMM and answer future budget questions.
Built for externally run studies. Keep their evidence where the rest of your measurement lives.
Structured records
Store lift, iCAC, iROAS, intervals, methodology, spend, dates, and audience context.
Searchable tags
Find past evidence by channel, campaign, audience, creative, or business objective.
Meta-analysis ready
Normalize results across platforms so studies can be compared and aggregated.
AI/API ready
Published records become read-only context for MCP, the API, and MMM calibration.
An evidence library for every external lift study
Platforms hand you lift studies in a dozen formats. This is where they all come together: structured, searchable, and ready to reuse.
One evidence library
Log every lift test, model run, and result. Whenever a platform does the calculation, from Meta to Google to TikTok to clean rooms, store it here. No more lost PDFs.
Meta-analysis across tests
Search back through every test on any platform and aggregate results to find the broader truth about channel and creative performance.
Organized & tagged
Add tags and parameters so you can filter by campaign type, creative strategy, or audience segment in seconds.
Audit-ready history
Every result keeps its methodology, dates, and context, so a number you cite today still makes sense a year from now.
Compare apples to apples
Normalize lift, iCAC, and iROAS across platforms so wildly different test formats finally sit on the same page.
Calibrates your MMM
Turn your library of platform lift results into priors and validation checks that keep your media mix model honest.
From a platform study to a searchable record, in clicks
No spreadsheets to maintain, nothing to wire up. Capture the result once and reuse it forever.
Run it on the platform
Use the platform's own lift, conversion lift, or clean-room study wherever the calculation already happens for you.
Drop in the result
Enter the lift, spend, and confidence in a simple form. No file to lose, no deck to dig up later.
Tag & organize
Label by channel, creative, audience, or campaign so the test is easy to find and group with others.
Search, compare & calibrate
Pull up past tests, aggregate them into a meta-analysis, and send the truth straight into your MMM.
From scattered files to one source of truth
The same results you have today, now findable, comparable, and ready to act on.
Before: scattered everywhere
Lost in inboxes, decks, and drives.
After: one evidence library
One place, ready to reuse and calibrate.
Capture the result, keep the context
A screenshot loses everything that made a test credible. We keep the structure, so every record stays comparable and reusable.
Built for everyone on the team
You don't need to be a statistician. The hard math runs under the hood; you point, click, and make the call with the full picture in front of you.
One framework. Every method talks to the others.
Geo, user-level, and platform tests all feed one central database. That shared truth calibrates and validates your MMM, while attribution keeps everything pointed in the right direction. Run any piece on its own — or run them together and let each one make the others stronger.
Inform. Attribution gives the MMM a fast, directional read on what's working between tests.
Calibrate. Incrementality tests anchor the MMM to causal ground truth, not just correlation.
Validate. Holdout tests check that attribution and the model agree with what really happened.
Unified test management
A single view for all your incrementality tests, across every platform.
Supported platforms
Ingest results from anywhere the calculation happens externally.
Platform incrementality testing FAQ
Measurement Ops Make the Product Repeatable
The models and tests matter, but the workflow around them matters too. Shako Stats is designed to become the operating system around experiment planning, metadata, documentation, and cross-test learning.
Data Management
Centralize datasets, mappings, and historical records so experiments and models always start from the same source of truth.
Tags and Parameters
Organize tests by audience, creative strategy, bidding logic, or business objective so learnings remain searchable and reusable.
Gantt Timeline
See what tests are planned, in-flight, or completed so overlapping interventions and measurement conflicts are easier to manage.
Documentation
Turn methodology, definitions, and experiment design guidance into an internal operating system instead of leaving them scattered across decks.
Or just ask your AI.
Connect any AI agent through MCP/API to a read-only evidence library of external lift-study records, tags, confidence intervals, methods, and normalized iCAC/iROAS. Shako Stats keeps the structured results transparent; the AI helps your team search, compare, and explain the evidence.
Meet your AI Marketing ScientistOne-click OAuth for Claude & ChatGPT, read-only, anyone on the team can ask
Bring rigorous measurement to your team
Design tests, understand results, and connect your team to one statistics-backed measurement workspace.
Paid B2B plans built for brands & agencies.