WorkMagic
WorkMagic Inc. · Marketing
WorkMagic is an AI marketing measurement platform for ecommerce and retail brands. It combines incrementality testing, attribution and media mix modeling to show what really drives sales.
About WorkMagic
What Is WorkMagic
WorkMagic is a measurement platform that tells ecommerce and retail brands whether their ad spend actually causes sales. Rather than trusting last-click reports, it runs controlled experiments called incrementality tests, then uses those results to calibrate the simpler attribution and media mix models most teams already rely on. The company calls this combination Triangulated Measurement.
The pitch is that most marketing dashboards measure correlation, not cause. A channel can look strong in a click report while adding almost nothing new. WorkMagic tries to separate the two, so budgets move toward campaigns that add real revenue. Its customers are brands running ads across marketplaces, social platforms and physical stores, the kind of mix where the true picture is hard to see.
The limits matter too. This is an enterprise-style tool sold through demos and sales calls, not a self-serve app you sign up for in a minute. You need real ad spend and clean data before the tests produce anything useful, so it isn't built for small shops.
Getting Started
- Book a demo on the WorkMagic site and talk through your channels and data sources with the team.
- Connect your ad platforms, storefronts and data warehouse, or start with the Shopify app for a lighter setup.
- Let WorkMagic set up a geo-based holdout test, with built-in recommendations for pairing markets.
- Review lift results, then apply the calibration to your attribution and media mix models.
- Use the forecasts to plan budgets and shift spend toward the channels that add revenue.
Product Information
A quick look at WorkMagic's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Ecommerce growth and marketing teams
- Marketing analytics and data teams
- Finance and growth leaders
Tasks
- Running incrementality tests
- Comparing attribution models
- Building budget plans
- Measuring halo effects
Scenarios
- Deciding whether to scale or cut spend on a channel that looks strong in click reports.
- Planning a peak season budget and needing defensible numbers before committing.
- Explaining marketing performance to finance in terms both teams accept.
- Checking whether a new retail store or channel is adding sales beyond what in-store data shows.
Key features
Geo Incrementality Testing
This is the core of the platform. WorkMagic runs regional holdout tests that compare matched markets, with one group exposed to the marketing and a control group held back. Setup is mostly automatic, and the company says 98% of its tests successfully measure lift. Results typically land within about three weeks rather than the months traditional lift testing can take.
Triangulated Measurement
The platform links three methods into one chain. Incrementality tests act as ground truth, attribution captures tactical, day-to-day credit, and media mix modeling handles strategic budget planning. Calibrating the models against test results is what separates this from a standard attribution tool that never checks its own numbers.
Incrementality-Adjusted Attribution
Standard attribution guesses at credit. Here, the attribution model is adjusted by lift test results, so reported performance reflects incremental impact rather than raw last-click totals. It also traces how any part of the mix, from channel down to individual creative, affects every sales channel together.
Incrementality-Calibrated MMM
WorkMagic's media mix modeling runs in real time and draws on both historical data and lift test results. According to the company, its projections land within 10% of actual performance. For planning, that means budget scenarios you can put in front of finance without a long caveat list.
Halo Effect and Cross-Channel Analysis
Marketing on one platform can drive sales elsewhere, and last-click tools miss it. WorkMagic measures those spillover effects across channels, so a campaign's full contribution shows up in one place instead of hiding across separate dashboards.
Data Integrations and Connectivity
You connect ad platforms, marketplaces like Amazon and TikTok Shop, storefronts and data warehouses such as Snowflake and BigQuery. There's also a Shopify app, an iCAPI integration for sending conversion data back to ad platforms, and a WorkMagic MCP for programmatic access. Centralizing the sources is what makes cross-channel measurement possible in the first place.
Pros and cons
Pros
- Combines incrementality testing, attribution and MMM in one platform instead of three separate tools.
- Test results calibrate the other models, so attribution and budget forecasts stay honest against real experiments.
- Measures halo and cross-channel effects that click-based reporting usually misses.
- Automated holdout setup lowers the data science workload, and results arrive in about three weeks.
- Connects to major marketplaces, storefronts and data warehouses, plus a Shopify app for lighter setups.
Cons
- Pricing isn't published, and onboarding runs through demos and sales calls, so you can't evaluate cost on your own.
- Meant for brands with meaningful ad spend; small shops with thin data won't get reliable results.
- The value depends on connected platforms and warehouses, so setup work and data access come before any insight.
- Complex measurement still takes some background to interpret, and lift testing runs on its own timeline rather than on demand.
Frequently asked questions
WorkMagic measures the true causal impact of marketing spend for ecommerce and retail brands. It runs incrementality tests, then uses those results to calibrate attribution and media mix models, so teams can see which channels add sales and where to invest next.
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