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Research Comparison

Updated

Markdown

Summary

Identifies anonymous website visitors with LinkedIn profiles and contact info, pushing leads to Slack or CRMs to turn pageviews into pipeline.

Funding

0

Founded

2023

Team

5

rb2b.com

Critical Notes

- Person-level identification (names, LinkedIn profiles), US visitors only due to GDPR; international visitors company-level only - Reached $9M ARR with tiny team via founder-led viral marketing - High churn, common in data enrichment space

Key Features

- Person-level identification via LinkedIn profiles - Slack and Microsoft Teams native delivery - HubSpot and Salesforce CRM integrations - ICP Lead Filtering and Hot Leads tagging - High-Intent Page Tracking - Traffic Exclusions and Page Suppression - Webhook support for custom data routing

Details

Website visitor identification SaaS built by Adam Robinson as a Retention.com spin-off. Bootstrapped, founded Sept 2023, launched early 2024, $9M ARR with 3-6 employees. ~10K monthly site visits; founder has 150K+ LinkedIn followers driving marketing. Product-led: free tier (150 company-level resolutions/mo), 7-day no-credit-card trial, pixel install under 5 minutes, Slack/Teams onboarding. Little outbound sales; inbound from founder-led LinkedIn content. Closed-source identity graph; community GitHub tools score RB2B webhooks against ICP.

Signalscompared to Common Room

1st Party

  • Proprietary tracking pixel for web visits; HubSpot and Salesforce push; Slack/Teams delivery; Outreach, Apollo, Instantly triggers
  • Web visits only; no product usage, data warehouse, marketing automation, paid ads, chat/support, or customer success; one-way CRM push; fewer SEP connectors

2nd Party

  • LinkedIn profile URLs for identified US visitors
  • LinkedIn is enrichment output, not listening input; no GitHub, Discord, Slack, Discourse, Reddit, Twitter/X, YouTube, G2, events, or Shopify ingestion

3rd Party

  • Demandbase (company-level IP fallback); Clay hand-off enrichment
  • No job changes, hiring, news, technographics, or intent feeds (6sense, Bombora, TechTarget, G2)

Custom

  • Zapier; real-time webhooks; credit-metered partner API (IP-to-company, email-to-social); CSV export
  • CSV export only, no upload or Google Sheets ingestion; API gated behind partner program; no custom data flows in

1st party: proprietary tracking pixel; HubSpot and Salesforce push; Slack/Teams alerts; Outreach, Apollo, Instantly triggers. 2nd party: LinkedIn profile data for US visitors; community GitHub repos. 3rd party: Demandbase global company-level fallback; Clay enrichment hand-off; firmographics (size, industry, location). Custom: Zapier, real-time webhooks, credit-metered partner API (IP-to-company, email-to-social), CSV export.

Identitycompared to Common Room

Enrichment

  • Name, title, verified business email, location, LinkedIn URL; firmographics (company, URL, industry, headcount, revenue); real-time delivery to Slack/Teams/CRM
  • No waterfall enrichment; no phone numbers or personal emails; no prospect database; no AI quality control

AI Powered

  • AI Hot Leads ranking (top 10-20% of visitors); ICP filtering on title/size
  • No AI in identity resolution; no cross-source handle/image matching; AI limited to post-resolution ranking

Identity

  • Proprietary opt-in identity graph from Retention.com (cookies, device IDs, hashed emails, IP); person + company resolution; 40-45% person-level match on US traffic; 70-80% combined
  • Single source, no cross-signal merging; no merge review or manual merge; person-level US-only; EU/international company-level only

Proprietary opt-in identity graph from Retention.com matches visitors via cookies, device IDs, hashed emails, IP. Two-tier: person-level plus company-level reverse-IP. 40-45% person-level match on US traffic; 70-80% combined. Person-level US-only (GDPR); international company-level only via Demandbase. Enrichment: name, title, business email, location, LinkedIn URL, firmographics; real-time push to Slack/Teams/CRM. No waterfall, phones, or personal emails. AI: Hot Leads ranking top 10-20%, ICP filtering; no AI in resolution.

Automationcompared to Common Room

Combine

  • none
  • Single-signal product; no signal combining

Score

  • Hot Leads AI ranking; custom ICP filters (revenue, size, seniority, department, category, geography); Hot Pages intent tagging
  • On-site behavior and firmographics only; no account-level or custom scoring models; opaque AI cutoff

AI Message

  • none
  • No AI-generated messaging or personalization

AI Research

  • none
  • No account research or custom Q&A; manual research from LinkedIn URL

Workbench, Workflow, Combine, AI Message, AI Research: none. Alerts: real-time Slack/Teams on identified or high-intent visitors with name, LinkedIn, company. Score: AI Hot Leads ranks top 10-20% of visitors; custom ICP filters (revenue, size, seniority, department, category, geography); Hot Pages tracks pricing, demo, case study visits.

Supportcompared to Common Room

Systems

  • Intercom live chat; Fin AI Agent auto-resolving ~65% of tickets; support@rb2b.com; Intercom-hosted Knowledge Base
  • No dedicated CSM, enterprise SLA, or support tiers

Content

  • Written KB (pixel install, integrations, Hot Leads/Pages, exclusions); blog sales templates; founder playbooks and videos
  • No structured video training or certification; founder playbooks are marketing

Community

  • Third-party GitHub repos (automate-rb2b); LinkedIn comment threads on founder posts
  • No official forum, Discourse, or Slack; unowned community dependent on founder's feed

...

Status: Watch

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