Workmagic Io

WorkMagic is a marketing measurement platform for brands that want to know which advertising actually drives sales. It combines three methods that are often sold separately: incrementality testing, marketing mix modelling (MMM) and multi-touch attribution (MTA). The company calls this approach Triangulated Measurement and pitches it as a way to take the guesswork out of marketing decisions.

Triangulated Measurement

The idea is to treat lift tests as the ground truth. Incrementality tests measure how many sales a channel or campaign caused by comparing exposed and unexposed groups. WorkMagic then uses those results to calibrate its marketing mix models, which support strategic budget decisions across channels, and its attribution models, which support day-to-day tactical choices such as which campaigns or creatives to scale. Calibrating models with experiments is a widely recommended practice, because attribution alone tends to over-credit channels that capture demand rather than create it.

Incrementality testing

WorkMagic says it runs automated incrementality tests that prove lift faster and more reliably than other platforms. That is the company's own claim; the reliability of any test depends on budget, test design and sales volume. The homepage also cites figures for revenue under management, total ad spend measured and lift-test success rate.

Pricing

Pricing is built around measurement maturity. Plans range from self-serve attribution for smaller brands to managed tiers and a fully integrated measurement stack with more support. Exact prices depend on brand size; the site invites you to book a demo.

Who it suits

WorkMagic suits e-commerce and direct-to-consumer brands spending meaningful budgets across Meta, Google, TikTok and other channels, and growth teams that want evidence for where to put the next marketing dollar.

Things to consider

Lift tests need enough budget and conversions to produce clear results, and they can involve temporarily pausing spend in some regions or audiences. Make sure your data sources, such as your store platform and ad accounts, are connected correctly. Treat model outputs as estimates with uncertainty, and review them with your team before making large budget changes.

Start by connecting your sales and ad platforms, then plan a first lift test on the channel where you are least sure of the true impact, and use the result as a baseline for later decisions.