Real-time clarity to improve performance.

Multi-Touch Attribution (MTA) distributes conversion credit across multiple touchpoints in a customer's journey before purchase. Unlike models that attribute all credit to one interaction, Triple Whale's MTA acknowledges that customers typically engage with several marketing channels before converting. This provides a more accurate picture of how each marketing effort contributes to your conversions, helping you optimize your marketing investments.

Single-touch models (first-click or last-click) assign 100% of conversion credit to just one touchpoint. First-click credits the initial interaction, while last-click credits the final touchpoint before purchase. These models oversimplify complex customer journeys. MTA, in contrast, distributes credit across multiple touchpoints, recognizing the contribution of different channels throughout the funnel—from awareness to consideration to conversion.

Total Impact Attribution combines multi-touch attribution data with Post-Purchase Survey responses to provide a comprehensive view of what drives conversions. By integrating what customers tell you influenced their purchase with tracked digital touchpoints, it captures influences that traditional tracking might miss, such as word-of-mouth or offline interactions. This holistic approach enables more accurate budget allocation decisions based on true marketing impact.

Triple Whale's attribution offers advantages over platform-reported data:

Triple Whale provides value beyond platform attribution by:

Triple Whale offers seven attribution models to fit various marketing strategies:

These diverse models allow you to select the attribution approach that best aligns with your specific marketing goals and business needs.

Clicks & Deterministic Views attribution measures conversions driven by both ad clicks and verified ad views. It uses deterministic click and view-through data, meaning it tracks platform-verified impressions tied directly to an actual user who later converted—no statistical modeling or guesswork involved.

It captures purchases from customers who either clicked an ad before converting or saw an ad and later converted without clicking. By including both interactions, this model provides a more complete view of how your channels and campaigns contribute to revenue.

Deterministic view-through conversions occur when a user views an ad and later converts, and the ad platform can verify that impression as part of the customer’s journey. Because these signals are reported directly by ad platforms, Clicks & Deterministic Views attribution reflects real, observed interactions rather than modeled estimates.

Consumers engage with brands across multiple ad platforms, making it critical to measure the full customer journey. Click-only attribution overlooks the impact of ads customers saw before they convert without clicking it. This is common with prospecting campaigns, video ads, and upper-funnel marketing. If you rely only on click-based attribution, these conversions are missed, leading you to underestimate the true impact of your campaigns and underfund channels driving growth.