Platform Incrementality
Stop looking through Google Docs, presentations, and scattered files. Store and analyze lift test results directly from ad platforms like Meta, Google, and TikTok. Centralize your truth and calibrate your measurement models.
Centralized Truth
All your tests, one database
Centralized Database
Log every test, every model run, and every result. Whenever a platform does the calculation for you—like Meta, Google, Direct Mail, or Clean Rooms—store it here. No more lost PDFs.
Meta-Analysis
Search back through tests across any platform. Aggregate results to find broader truths about channel performance and creative effectiveness. Look back on what was run in the past.
Organized & Tagged
Add tags and parameters to organize your tests. Filter by campaign type, creative strategy, or audience segment instantly.
Unified Test Management
A single view for all your incrementality tests across every platform.
Platform Tests
Manage your platform lift tests
| Test Name | Platform | Start Date | Spend | Lift % | Efficiency (iROAS) | |
|---|---|---|---|---|---|---|
| Q4 Holiday - Meta Conversion Lift | Meta | Dec 01, 2025 | $45,200 | +12.4% | 4.2x | |
| YouTube Brand Lift Study | Nov 15, 2025 | $28,500 | +8.1% | 2.8x | ||
| TikTok Creative Test | TikTok | Nov 01, 2025 | $15,000 | +15.2% | 3.5x | |
| Meta ASC vs BAU | Meta | Oct 15, 2025 | $62,000 | +4.5% | 1.9x | |
| Google PMax Lift | Oct 01, 2025 | $35,000 | +9.8% | 3.1x |
Calibrate & Validate MMM
Don't just run tests—use them. Platform lift tests provide critical ground truth data to calibrate and validate our future MMM model implementation.
MMM Calibration
Use your database of platform lift estimates as priors, constraints, and validation checks. Ensure your Media Mix Model stays anchored to experimentally measured impact, not just correlation.
User-Level Tests
Coming soon: Run housefile and prospect list tests for channels where you control the audience.
Supported Platforms
Ingest results from any platform where calculation happens externally.
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 View
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.