Measure your marketing performance with data-driven MTA

Stop trusting channels that overstate their impact, or traditional multi-touch attribution (MTA) models that underreport non-click impact. Use data-driven attribution (DDA), an advanced MTA with signal enhancement to reflect the true impact of all your channels.

True Impact using incrementality test
True Impact using incrementality test
True Impact using incrementality test

A better attribution model starts with better data

A better attribution model starts with better data

First party tracking

A future-proof data foundation setup in minutes by adding WorkMagic's pixel from the Shopify App Store.

Post-purchase surveys

Post-purchase surveys

Post-purchase surveys help measure non-click impact to properly credit sources like word of mouth, podcasts, or other traditionally hard-to-track channels.

Incrementality informed

Incrementality informed

WorkMagic aggregates learnings from incrementality tests run on our platform to refine our models, reflecting your media's true impact.

All your data sources integrated

All your data sources integrated

Platform Integration
Workmagic Platform Integration
Platform Integration

Get the most advanced MTA model with data-driven attribution

Our cutting-edge algorithm analyzes historical data to distribute credit fairly across channels, providing deeper insights into each touchpoint’s true impact.

Attribution Model Selector
Attribution Model Selector
Attribution Model Selector

Want to see how WorkMagic's DDA compares to other models?

Easily compare 8 attribution models to understand the key differences and see which model delivers the most accurate insights for your business. Make confident, data-driven decisions with a clear understanding of every model’s unique approach.

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FAQ

What's the difference between WorkMagic's Data-Driven Attribution and Incrementality-based Attribution?

Data-driven attribution is WorkMagic's starting attribution model for brands. This is the best solution for smaller brands. Incrementality-based attribution is a brand-specific attribution model that is calibrated by a brand's incrementality tests. This is the best solution for brands that have sufficient volume for incrementality tests (~3,000+ orders a month).

What's the difference between WorkMagic's Data-Driven Attribution and Incrementality-based Attribution?

Data-driven attribution is WorkMagic's starting attribution model for brands. This is the best solution for smaller brands. Incrementality-based attribution is a brand-specific attribution model that is calibrated by a brand's incrementality tests. This is the best solution for brands that have sufficient volume for incrementality tests (~3,000+ orders a month).

What's the difference between WorkMagic's Data-Driven Attribution and Incrementality-based Attribution?

Data-driven attribution is WorkMagic's starting attribution model for brands. This is the best solution for smaller brands. Incrementality-based attribution is a brand-specific attribution model that is calibrated by a brand's incrementality tests. This is the best solution for brands that have sufficient volume for incrementality tests (~3,000+ orders a month).

What's the difference between MTA and Data-Driven Attribution?

What's the difference between MTA and Data-Driven Attribution?

What's the difference between MTA and Data-Driven Attribution?

What data sources does WorkMagic's Data-Driven Attribution use?

What data sources does WorkMagic's Data-Driven Attribution use?

What data sources does WorkMagic's Data-Driven Attribution use?

Is non-click impact included in the model?

Is non-click impact included in the model?

Is non-click impact included in the model?