Not sure which attribution model to choose? This article will help you learn more about each attribution model on our platform, with examples and best practices.

This model attributes full credit to the final external touchpoint before conversion.

In a situation where the customer sees your product on Instagram, visits your website but doesn't make a purchase, and later sees a Google ad for the same product and makes a purchase immediately after clicking the ad, all conversions go for the Google ad.

Use this model when you want to understand the immediate impact of your marketing efforts, particularly in cases where the customer journey is short and the final touchpoint directly leads to conversions. However, without using other attribution models, you don't get to see the full customer journey, with all the influences on the final purchase.

Similar to Last Click, but it only attributes full credit to the last paid marketing touchpoint before conversion, excluding organic sources.

For example, a customer sees a Facebook retargeting ad and then uses Google search to find your product.

In the Last Paid Click model, only paid marketing touchpoints receive credit for the conversion. Since the Facebook ad was the last paid marketing touchpoint before the customer made the purchase, it received full attribution for the sale. The last touchpoint (Google search result) is excluded.

Use this model when you want to specifically evaluate the performance of your paid marketing efforts, without considering the impact of organic channels. However, keep in mind that with this attribution model, you don't actually test whether or not the purchase would have happened anyway.

Excludes organic sources and attributes full credit to the last non-organic touchpoint. This model is similar to Last Paid Click but includes all non-organic touchpoints, whether paid or not.

A customer visits your landing page after reading your blog article, then later uses Google search to find your product. In the last non-organic click model, the blog would be attributed full credit for the purchase, as it was the last non-organic touchpoint before the conversion. The visit from Google search won't be considered.

This model is useful when you want to measure the effectiveness without considering the impacts of organic channels. For organic channels, you will need other attribution models.

Attributes full credit to the initial touchpoint in the customer journey.

A customer discovers your e-commerce brand through an influencer's YouTube video and then later makes a purchase after seeing a Facebook ad. According to the First Click attribution model, full credit for the purchase would be attributed to the influencer's YouTube video.

Try this model when you want to understand the initial touchpoints that introduce customers to your brand, particularly in the awareness and consideration stages of the customer journey.

Attributes full credit for a conversion to all touchpoints in the customer journey. Each touchpoint receives the same credit.

If a customer interacts with the same three touchpoints (Google search, Facebook ad, email newsletter) before making a purchase, each touchpoint will receive full credit for the conversion.

This model can granularly optimize performance within a specific channel by isolating each channel's impact.

Best effective for companies with longer and more complex sales cycles where multiple touchpoints play a role in influencing conversions.

Credit assigned to any external channel clicked, plus view-through attribution data measured by Meta ads. This is how the Meta platform reports orders, and the sum of conversions attributed to each channel will exceed the total number of conversions.

Similar to the Any Click model with the additional layer of Meta view through data. A customer interacts with touchpoints (Google search, email newsletter, Instagram, etc). The customer then views a Meta ad and doesn't click on it, but then purchases the product on your website within 24 hours.

Try this model when you are curious to see the lift that the view-through data from Meta has on your conversions.

This is the most accurate customized attribution model tailored for specific brands and fine-tuned through incrementality testing. It involves in-market experimentation to determine the true impact of each touchpoint on conversions.

We help brands conduct A/B testing to measure the incremental impact of marketing channels on conversions. By comparing conversion rates between a control group and a group exposed to a certain marketing channel, the brand determines the true impact of the marketing channel.

If you want to truly understand the effectiveness of your marketing channels and optimize your budget allocation, we will help you run this highly accurate attribution model that reflects the true value of your marketing efforts.

By comparing the ROI generated from the group targeted by an ad or campaign with the group that wasn't targeted with any marketing activities, you are clearly outlining the real success of a marketing campaign. Conversions that would have occurred “naturally” aren't attributed here.

We are transferring one-time incrementality results into an attribution model that runs regularly and produces automatic dashboards to inform day-to-day marketing decisions. That is to say, we are operationalizing the incrementality test for the most accurate results.

You can easily switch between different attribution models in the Channel Attribution tab on your WorkMagic dashboard. On the right side of the Channel Insights dashboard, click on the drop-down menu to see all of the attribution models we support.