Make every decision based on incrementality

Make every decision based on incrementality

Calibrate data-driven attribution model with incrementality test learning provides the most accurate measurement and granularity needed for optimization, with specific enhancements made to address view-through impact and cross-session signal losses.

Calibrate data-driven attribution model with incrementality test learning provides the most accurate measurement and granularity needed for optimization, with specific enhancements made to address view-through impact and cross-session signal losses.

The perfect complement of measurement methodologies

The perfect complement of measurement methodologies

Incrementality tests and attribution models complement each other’s limitations, providing a more accurate and comprehensive view of your media performance.

Incrementality tests and attribution models complement each other’s limitations, providing a more accurate and comprehensive view of your media performance.

Incrementality Tests

Incrementality Tests

Reveal the true impact of all marketing channels or campaigns through in-market experiments.

Capture performance across both click and non-click channels.

Attribution Models

Attribution
Models

Unlock granular insights by analyzing user behavior across touchpoints.

Provide real-time measurement and adapt to evolving user journeys, ensuring ongoing accuracy.

How It Works

How It Works

How It Works

Automated geo-incrementality tests calibrate your custom attribution model

Automated geo-incrementality tests calibrate your custom attribution model

Automatically launch expertly designed incrementality tests

Simply define your success metrics, and we'll handle the rest—from test design to configuration and calibration. Our fully automated process requires no data science or engineering support from your side, and you'll get results in as quick as 21 days—compared to the 6-8 weeks typically needed for manual testing.

Learn the true impact of your marketing channels and campaigns

Our incrementality testing tools will help you monitor the in-market experiments and analyze results to measure the incremental lift. We provide answers to the key questions like 'If you stopped running Meta ads, how much sales would you lose?'

Measure the Halo Effect of advertising

With WorkMagic, you can measure the impact of upper funnel advertising across all sales channels and marketplaces, including DTC, Amazon, Walmart, brick-and-mortar stores, and more. Get a comprehensive view of your marketing performance to optimize strategies and uncover new opportunities for sales growth.


Understand cross-channel impact

Understand how other channels benefit from your test channel. Answers questions like, 'Does Meta ads drive more people to search for my brand on Google?'


Calibrate your brand's custom attribution model

We calibrate the attribution model with learnings from incrementality tests, providing the most accurate measurement and granularity needed for optimization. Make every decision based on incrementality in real-time.

Upgrade your measurement with WorkMagic

Upgrade your measurement with WorkMagic

Upgrade your measurement with WorkMagic

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).

How do I know if I can run incrementality tests?

How do I know if I can run incrementality tests?

How do I know if I can run incrementality tests?

How long do incrementality tests last?

How long do incrementality tests last?

How long do incrementality tests last?

How often should I run incrementality tests?

How often should I run incrementality tests?

How often should I run incrementality tests?

What channels can WorkMagic's incrementality tests measure?

What channels can WorkMagic's incrementality tests measure?

What channels can WorkMagic's incrementality tests measure?

How does this compare to channel's native conversion lift studies?

How does this compare to channel's native conversion lift studies?

How does this compare to channel's native conversion lift studies?

Ready to improve your marketing efficiency?

Talk with a WorkMagic
growth expert

Talk with a WorkMagic
growth expert

Talk with a WorkMagic
growth expert