This is like putting GPS trackers on every marketing touchpoint (ads, emails, events) so you can finally see which ones actually helped move a customer from first click all the way to revenue, not just who happened to be last in line.
Marketers struggle to prove which campaigns and channels truly drive pipeline and revenue across the entire customer journey, leading to wasted spend, misaligned sales/marketing priorities, and decisions based on vanity metrics instead of business impact.
If implemented by RevSure itself, the moat would come from proprietary attribution models tuned on cross-customer funnel data, strong integrations into CRM/marketing-automation systems, and sticky reporting workflows embedded into marketing ops and revenue operations processes.
Hybrid
Structured SQL
Medium (Integration logic)
Joining and processing high-volume, multi-touch journey data from CRM, MAP, and ad platforms in a way that remains performant and accurate as data volume and number of channels grow.
Early Majority
Differentiates from simple web or last-click analytics by modeling the full customer journey across stages (awareness to revenue), typically bridging CRM, marketing automation, and ad platforms to provide revenue-centric attribution rather than just lead or click attribution.