Are there any attribution models you will use to evaluate Pinterest ad performance?

Yes, when evaluating the performance of Pinterest ads, or any digital advertising campaign, marketers may use various attribution models to understand the role that different touchpoints play in the customer journey and to allocate credit to those touchpoints. Here are some common attribution models that can be used:

1. Last Click Attribution: This model assigns 100% of the credit for a conversion to the last click that the customer made before converting. This model is simple and easy to understand, but it may not give credit to the earlier touchpoints that helped to influence the customer's decision.
2. First Click Attribution: This model assigns 100% of the credit for a conversion to the first click that the customer made in the journey. This model can be useful for understanding which channels are effective at attracting new customers, but it may not give credit to the touchpoints that helped to close the sale.
3. Linear Attribution: This model assigns equal credit to all touchpoints in the customer journey. This model can be useful for understanding the overall effectiveness of a marketing campaign, but it may not accurately reflect the role that each touchpoint played in the conversion.
4. Time Decay Attribution: This model assigns more credit to the touchpoints that were closer in time to the conversion. This model can be useful for understanding which touchpoints were most influential in the moments leading up to the conversion.
5. Position-Based Attribution: This model assigns most of the credit to the first and last touchpoints in the customer journey, with the remaining credit being distributed evenly among the other touchpoints. This model can be useful for understanding which channels are effective at attracting and converting customers.

When evaluating Pinterest ad performance, it's important to choose an attribution model that aligns with your business goals and marketing strategy. You may also want to consider using multiple attribution models to get a more complete picture of your campaign performance.