Usermaven

Usermaven is an AI marketing attribution platform for B2B SaaS and agencies. It joins marketing, product and CRM data, resolves identities across devices, and shows which channels and campaigns contribute to conversions, pipeline and revenue, with Maven AI answering questions and building dashboards.

Usermaven is a marketing attribution platform built for B2B SaaS companies and agencies that need to know which channels actually produce pipeline and revenue. The core problem it targets is last-touch reporting: a buyer may discover a brand through Google Ads, return via email, compare options through organic search, then convert directly, and many analytics tools award the entire conversion to that final visit. Usermaven connects marketing, product and CRM data so credit is distributed across the real path a customer took, including paid, organic, referral, email and AI-driven touchpoints. The product combines several layers in one workspace. Identity resolution stitches together sessions that happen on different devices and channels, reconnecting anonymous visits to a known contact once that person signs in, so a journey that started on a phone and finished on a laptop appears as one path. Funnel analysis shows where visitors drop out between steps and breaks conversion rates down by channel. Dashboards mix website analytics, product analytics, feature adoption and retention in a single view, and multi-touch attribution models assign value to sources using linear or other weighting rather than the final click alone. AI sits across the workflow rather than beside it. Maven AI answers plain-language questions about the data, for example which channels drove signups in the last 30 days or where users abandon a signup-to-upgrade funnel, and it can assemble a dashboard from a described request. An MCP connection lets teams query the same data from outside assistants such as ChatGPT, Claude or Cursor. Reports and alerts push findings to Slack or email on a schedule. The platform is aimed at growth, marketing and revenue operations teams that already run paid and organic programs and want attribution without stitching together several tools. It competes with product analytics suites and dedicated attribution vendors, and its differentiator is the combination of CRM-connected revenue attribution with AI querying. Teams evaluating it should check whether the integrations they depend on are covered and whether the attribution model matches how their sales cycle actually works.