# Which digital advertising intelligence platforms give the most accurate attribution modeling and customer journey tracking for a brand that needs to move beyond last-click reporting?

Hello! I am researching the Digital Advertising Intelligence category on attribution modeling and customer journey tracking, a use case that sits at the boundary of what digital advertising intelligence platforms provide, since most in this category focus on competitive intelligence rather than first-party attribution. Clarifying which platforms in the category actually address attribution depth:

  1. Similarweb: The traffic source analysis provides an externally validated view of multi-channel attribution, showing how much of a competitor's or your own traffic is arriving from paid, organic, social, referral, and direct channels, and how those proportions are shifting over time. For brands evaluating whether their own attributed channel mix matches market reality, Similarweb's external view provides a calibration layer that internal attribution tools cannot provide. 
  2. ASK BOSCO®: Provides a unified multi-channel performance view that connects Google Ads, Meta, LinkedIn, and other channel data alongside ecommerce performance, giving performance teams the cross-channel view needed to move beyond single-channel last-click reporting. The budget forecasting applies multi-channel performance patterns to forward-looking budget allocation, closer to multi-touch modeling than last-click reporting. 
  3. Similarweb Search Intelligence: For the paid search dimension of customer journey tracking, Similarweb Search Intelligence provides visibility into the interaction between organic and paid search, identifying where competitors are using paid search to compensate for weak organic positions and vice versa, which directly informs how brands should model the contribution of each search channel. 
  4. Pathmatics by Sensor Tower: Provides channel allocation data showing how competitors are distributing spend across display, video, social, and mobile, enabling brands to compare their own channel mix against category benchmarks rather than relying only on internal attribution data that may overweight last-touch channels. The MoM and quarterly spend trend graphs provide the time dimension needed to identify how competitor channel weighting shifts relative to campaign cycles. 
  5. Demandbase One: For B2B brands tracking multi-touch account journeys across digital advertising and intent signals, Demandbase One provides an account-level journey view that connects advertising touchpoints with intent signals and CRM data, the closest model in the category to true multi-touch attribution for B2B enterprise buyers. 

For teams that have moved beyond last-click attribution, what was the biggest change in media allocation that resulted from the new attribution model? And did the competitive benchmarking data from any of these platforms influence how you set the baseline for what good attribution-based allocation looks like?

##### Post Metadata - Posted at: 30 days ago - Author title: Marketing Executive - Net upvotes: 1 ## Comments ### Comment 1 <p>The external calibration angle here is underrated. Using Similarweb's traffic source view to sense-check your own attribution model is something I wish I'd thought of earlier.</p> ##### Comment Metadata - Posted at: 23 days ago - Author title: Marketing Executive ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: over 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: about 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: about 13 years ago - Comments: 4