What Is Incrementality-Based Attribution?
by
Brian Plant
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Last updated: August 26, 2024
Last updated: August 26, 2024
Incrementality-based attribution is WorkMagic's measurement methodology that combines incrementality testing with data-driven multi-touch attribution to give marketers the most accurate cross-channel incrementality based measurement at every level of granularity in real-time.
Why incrementality tests and multi-touch attribution?
These two methodologies have offsetting strengths and weakness, so combining the two together creates a robust measurement system that maximizes the ability to not just measure incrementality, but actually easily optimize for it. See below to understand the two methodologies in isolation.
Strengths of attribution
Ties marketing touchpoints to purchases.
Available in real time as purchases happen.
Measures marketing at every level: channel, ad group, ad, etc.
Measures at a user level.
Limits of attribution
Doesn't measure causation of marketing.
Limited by touchpoints available.
Limited by identity resolution.
Generally gets less accurate over time.
Strengths of incrementality tests
Measures causation or true impact.
Measures any channel where you can control geo targeting.
Doesn't rely on identity resolution.
Limits of incrementality tests
It only measures a snapshot of time.
Tests one variable at a time, usually channel or tactic level.
Measures at an aggregate level.
WorkMagic's incrementality-based attribution methodology
WorkMagic's incrementality-based attribution has all the benefits without the limitations:
Measures for causation.
Measures all channels.
Measures at the most granular level possible for each channel.
Measures in real time.
Increases in accuracy over time.
How incrementality-based attribution works
Customers start out with WorkMagic's standard data-driven multi-touch attribution model. They then run an incrementality test on one channel, which generally runs for 3-4 weeks. This test measures the incrementality of that channel and the cross-channel impact it has on all the other channels. The brand's attribution model then is calibrated by these results, creating a unique brand specific incrementality based attribution model.
After the incrementality test is complete, there is a cool down period. After that period is over, a new incrementality test can be run, usually done on another channel.
Repeating this process of testing and calibrating increases the accuracy of a brand's custom attribution model each time and is a NorthStar guiding brands to get a better return from their marketing efforts.
This same method is used when testing new channels, giving brands an accurate measurement of incrementality of a channel from the start.
The old notion of "half the money I spend on advertising is wasted; the trouble is I don’t know which half", no longer implies when you use WorkMagic's incrementality-based attribution.
Incrementality-based attribution is WorkMagic's measurement methodology that combines incrementality testing with data-driven multi-touch attribution to give marketers the most accurate cross-channel incrementality based measurement at every level of granularity in real-time.
Why incrementality tests and multi-touch attribution?
These two methodologies have offsetting strengths and weakness, so combining the two together creates a robust measurement system that maximizes the ability to not just measure incrementality, but actually easily optimize for it. See below to understand the two methodologies in isolation.
Strengths of attribution
Ties marketing touchpoints to purchases.
Available in real time as purchases happen.
Measures marketing at every level: channel, ad group, ad, etc.
Measures at a user level.
Limits of attribution
Doesn't measure causation of marketing.
Limited by touchpoints available.
Limited by identity resolution.
Generally gets less accurate over time.
Strengths of incrementality tests
Measures causation or true impact.
Measures any channel where you can control geo targeting.
Doesn't rely on identity resolution.
Limits of incrementality tests
It only measures a snapshot of time.
Tests one variable at a time, usually channel or tactic level.
Measures at an aggregate level.
WorkMagic's incrementality-based attribution methodology
WorkMagic's incrementality-based attribution has all the benefits without the limitations:
Measures for causation.
Measures all channels.
Measures at the most granular level possible for each channel.
Measures in real time.
Increases in accuracy over time.
How incrementality-based attribution works
Customers start out with WorkMagic's standard data-driven multi-touch attribution model. They then run an incrementality test on one channel, which generally runs for 3-4 weeks. This test measures the incrementality of that channel and the cross-channel impact it has on all the other channels. The brand's attribution model then is calibrated by these results, creating a unique brand specific incrementality based attribution model.
After the incrementality test is complete, there is a cool down period. After that period is over, a new incrementality test can be run, usually done on another channel.
Repeating this process of testing and calibrating increases the accuracy of a brand's custom attribution model each time and is a NorthStar guiding brands to get a better return from their marketing efforts.
This same method is used when testing new channels, giving brands an accurate measurement of incrementality of a channel from the start.
The old notion of "half the money I spend on advertising is wasted; the trouble is I don’t know which half", no longer implies when you use WorkMagic's incrementality-based attribution.
Incrementality-based attribution is WorkMagic's measurement methodology that combines incrementality testing with data-driven multi-touch attribution to give marketers the most accurate cross-channel incrementality based measurement at every level of granularity in real-time.
Why incrementality tests and multi-touch attribution?
These two methodologies have offsetting strengths and weakness, so combining the two together creates a robust measurement system that maximizes the ability to not just measure incrementality, but actually easily optimize for it. See below to understand the two methodologies in isolation.
Strengths of attribution
Ties marketing touchpoints to purchases.
Available in real time as purchases happen.
Measures marketing at every level: channel, ad group, ad, etc.
Measures at a user level.
Limits of attribution
Doesn't measure causation of marketing.
Limited by touchpoints available.
Limited by identity resolution.
Generally gets less accurate over time.
Strengths of incrementality tests
Measures causation or true impact.
Measures any channel where you can control geo targeting.
Doesn't rely on identity resolution.
Limits of incrementality tests
It only measures a snapshot of time.
Tests one variable at a time, usually channel or tactic level.
Measures at an aggregate level.
WorkMagic's incrementality-based attribution methodology
WorkMagic's incrementality-based attribution has all the benefits without the limitations:
Measures for causation.
Measures all channels.
Measures at the most granular level possible for each channel.
Measures in real time.
Increases in accuracy over time.
How incrementality-based attribution works
Customers start out with WorkMagic's standard data-driven multi-touch attribution model. They then run an incrementality test on one channel, which generally runs for 3-4 weeks. This test measures the incrementality of that channel and the cross-channel impact it has on all the other channels. The brand's attribution model then is calibrated by these results, creating a unique brand specific incrementality based attribution model.
After the incrementality test is complete, there is a cool down period. After that period is over, a new incrementality test can be run, usually done on another channel.
Repeating this process of testing and calibrating increases the accuracy of a brand's custom attribution model each time and is a NorthStar guiding brands to get a better return from their marketing efforts.
This same method is used when testing new channels, giving brands an accurate measurement of incrementality of a channel from the start.
The old notion of "half the money I spend on advertising is wasted; the trouble is I don’t know which half", no longer implies when you use WorkMagic's incrementality-based attribution.