WorkMagic

WorkMagic is a marketing measurement platform for incrementality tests, attribution calibration, and better budget decisions across Amazon, TikTok Shop, retail, CTV, and paid media.

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What WorkMagic does

WorkMagic is a marketing science and experiment platform focused on incrementality-based measurement. It helps brands understand which channels and campaigns actually drive lift, then uses that evidence to improve attribution and budget decisions.

The site positions WorkMagic around a triangulated measurement approach that combines lift testing, incrementality-calibrated MMM, and incrementality-adjusted attribution. It is aimed at omnichannel brands that need to reconcile marketing reporting with financial outcomes across channels such as Amazon, TikTok Shop, retail, CTV, and paid media.

Core capabilities

Geo incrementality testing

Launch regional holdout tests inside the platform and automate geo-based test setup to reduce manual configuration errors.

Incrementality-calibrated MMM

Combine incrementality test results with media mix modeling to build diminishing-return curves and generate validated budget recommendations.

Incrementality-adjusted attribution

Use a triangulated measurement approach for incrementality-based attribution that is built custom for each brand.

Multi-source data ingestion

Ingest retail and other business data from S3, Snowflake, Google Sheets, email, and related systems so it can be used in measurement workflows.

Stack integrations

Connect marketing, sales, CTV, logistics, and analytics platforms to centralize the data needed for testing and attribution.

Test workflow

Run incrementality tests, monitor them, and review results in a guided onboarding flow designed to shorten time to value.

Practical use cases

Measure incremental lift
Use geo holdout tests to estimate the actual lift generated by campaigns before making larger budget decisions.
Calibrate media mix models
Connect test results back into MMM so budget recommendations reflect observed causality rather than historical correlations alone.
Diagnose reporting gaps
Reconcile platform-reported performance with financial results when channel reporting and business outcomes do not match.
Assess cross-channel halo
Evaluate halo effects across Amazon, retail, TikTok Shop, and other channels to understand where upper-funnel spend carries through.
Operationalize experiment workflows
Set up and monitor tests with a lightweight onboarding path when teams want to move from data connection to measurement quickly.

Pros and Cons

Pros

Combines lift testing, MMM, and attribution in one measurement workflow.
Supports automated geo holdouts and on-demand lift testing.
Accepts multiple data sources, including S3, Snowflake, Google Sheets, and email uploads.
Provides a guided onboarding path from account connection to calibrated attribution.
Cites concrete time-to-value guidance, including 10–20 minutes for the initial workflow plus 24–48 hours for data loading.

Cons

The published pricing page does not include actual pricing details in the provided text.
The source gives broad integration categories but few named platforms, so compatibility specifics are limited in the available material.

FAQ

Who is WorkMagic for?

WorkMagic is designed for brands that want to measure incrementality and calibrate attribution with experiment results. The source emphasizes omnichannel brands, e-commerce teams, and marketers working across channels such as Amazon, TikTok Shop, retail, CTV, and paid social.

How does setup and onboarding work?

The onboarding flow shown on the site starts with connecting accounts, then scheduling an incrementality test, running and monitoring the test, and reviewing results to calibrate the attribution model. The site also says retail or other data can be uploaded through S3, Snowflake, Google Sheets, or email, and that Shopify storefront users do not need coding or tech-team support for setup.

What outputs does the platform provide?

WorkMagic says its platform can be used to run incrementality tests, use incrementality-calibrated MMM and MTA, and forecast revenue, ROAS, profitability, and more. The geo-testing page also describes automated geo holdout setup, built-in geo-pairing recommendations, daily modeling, and flexible market matching.

Does the pricing page show actual pricing?

The pricing page does not list prices in the provided source text. It does show a consult/demo flow and describes expected consult topics such as diagnosing reporting gaps, understanding halo effects, and estimating gains from reallocating spend.