Compare Analytics

Multi-touch Attribution

Compare all software platforms supporting this capability.

4 tools supported

Updated:

Dreamdata

Supported

Dreamdata offers a comprehensive analytics platform that connects marketing efforts to revenue outcomes, ensuring compliance and data accuracy.

The platform functionality provides advanced B2B multi-touch attribution, distributing revenue credit across long, multi-stakeholder buyer journeys.

Multi-touch attribution is the core function of this platform. Unlike standard web analytics that rely on flawed "last-click" models, this tool maps every touchpoint across the entire B2B account (not just single users). Analysts can instantly toggle between various multi-touch models, such as Linear (equal credit to all touches), W-Shaped (emphasizing first touch, lead creation, and opportunity creation), U-Shaped, and Time Decay. This provides RevOps teams with a deeply nuanced view of how top-of-funnel content (like blog posts) assists bottom-of-funnel sales activities (like demo calls) in driving actual revenue, eliminating the bias toward immediate conversion channels.

Triple Whale

Supported

Triple Whale is an advanced analytics tool designed to empower e-commerce businesses with precise insights into customer behavior and marketing performance.

The platform functionality offers several specialized attribution models, allowing marketers to analyze the customer journey across various ad platforms and channels.

To solve the problem of fragmented ad tracking, the platform utilizes its proprietary tracking pixel to stitch together cross-channel customer journeys. Rather than relying solely on the flawed "last-click" models used by Google Analytics or Facebook, it offers multiple attribution models, including First Click, Last Click, Linear, and a proprietary "Triple Attribution" model that emphasizes both acquisition and conversion touches. This allows marketers to clearly see how top-of-funnel TikTok ads assist bottom-of-funnel Google Search ads in driving a final purchase. The interface makes it exceptionally easy to switch between models and compare channel performance side-by-side, providing critical visibility for media buyers.

Northbeam

Supported

Northbeam is a powerful analytics tool tailored for e-commerce businesses, providing deep insights into performance and precise attribution across multiple marketing channels.

The platform functionality provides a holistic attribution framework that aggregates data from all marketing touchpoints to determine their relative contribution to conversion.

The platform uses a sophisticated, proprietary modeling engine to stitch together complex, multi-touch customer journeys. Unlike standard ad platform reports that operate in silos, it collects data from every integrated marketing channel and aggregates them into a unified customer identity graph. This enables marketers to see exactly how top-of-funnel content (like broad social awareness ads) interacts with middle-funnel activities and bottom-of-funnel intent. It allows analysts to toggle between various attribution models—such as linear, decay, or position-based—to understand how different touchpoints influence the final purchase decision, offering a more nuanced view than basic last-click reporting.

AnyTrack

Supported

AnyTrack is a comprehensive analytics tool designed to optimize e-commerce performance by capturing and analyzing every transaction, ensuring data compliance, and synchronizing conversion data with ad platforms.

The platform functionality provides a multi-channel attribution model that evaluates the contribution of various touchpoints across a user's entire path to purchase.

Unlike platforms that focus on last-click conversion, this tool tracks multiple interactions across a customer's journey. It captures data from various marketing sources—including ads, organic search, and referral links—and uses an attribution model to distribute conversion credit among these touchpoints. This gives marketers a much more sophisticated view of their campaign ROI, revealing which content or channels are assisting in the conversion process even if they weren't the final click. This is essential for media buyers wanting to optimize total campaign performance rather than just focusing on the narrow last-touch conversion window.