Measure your marketing performance with multi-touch attribution

Measure your marketing performance with multi-touch attribution

Measure your marketing performance with multi-touch attribution

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

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

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

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, powered by Fairing, 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

Get the most advanced MTA model with data-driven attribution

An algorithm based model that uses historical data to assign credit between channels to better reflect their true impact.

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

Easily compare 8 attribution models to understand the differences between every model.

Loved by our clients

"An easy-to-use system that significantly benefited King Smith's current Return on Ad Spend (ROAS) evaluation and aligned with their future growth targets. "

Lu Li, Head of Performance Marketing, King Smith

Lu Li, Head of Performance Marketing, King Smith

"An easy-to-use system that significantly benefited King Smith's current Return on Ad Spend (ROAS) evaluation and aligned with their future growth targets. "

Lu Li, Head of Performance Marketing, King Smith

Ready to upgrade your measurement?

Talk with a WorkMagic measurement expert

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?