For demand-gen and sales teams, RB2B is a website-visitor identification platform that unmasks the actual person browsing your site in the US, not just the company, turning anonymous traffic into follow-up-ready leads.
Presence & Market Position
#9 of 115
Traditional SaaS Going Headless
▲ 24 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
RB2B positions itself as the person-level layer of the go-to-market data stack, naming the individual browsing a website rather than only the company, and shipping that signal as a lean, connectable product rather than a broad platform. Practitioner conversation treats it as a fixture of GTM stack breakdowns, usually cited as the person-level counterpart to company-level identification tools and folded into outbound and account-scoring workflows. Website deanonymization itself comes up as an established, standard part of the stack rather than something new. The same conversation treats RB2B's growth itself as a reference point, held up for reaching meaningful scale without outside funding. Rank and movement both point to a strengthening position.
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Business Profile
RB2B launched in 2023 out of founder Adam Robinson's earlier company, Retention.com, and has stayed bootstrapped since, with no outside funding on the record. The team has stayed lean, at eight employees, while the company reports $20M in ARR as of 2026. The website cites more than 100,000 sites running RB2B and claims to identify 70-80% of a site's traffic, distributed to Slack, CRMs, and 50-plus other integrations. The company's own framing leans on that combination directly: meaningful revenue scale reached without a funding round, positioned as a proof point in a market where most comparable vendors have raised significant venture capital.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
RB2B has shipped both an API and an MCP server, putting its person-level visitor data within reach of agent-based workflows rather than only dashboards and native integrations. The MCP endpoint is gated to MCP clients rather than documented in the open, consistent with a build-out aimed at connecting identification data directly into agent tooling rather than publishing a general-purpose developer platform.
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