
RB2B de-anonymizes US website visitors down to the named person and LinkedIn profile, pushing real-time alerts to Slack, Teams, and your CRM.
What is
RB2B
RB2B does person level website visitor identification. It de-anonymizes the people browsing your site, matching US based visitors to a named individual with a LinkedIn profile and, on paid tiers, a business email, then pushing that signal in real time to Slack, Teams, or your CRM. You install a small pixel, connect Slack, and anonymous traffic starts showing up as named prospects with the pages they viewed. Hot Pages and ICP filters cut the noise so reps only see visitors that fit the profile, and native integrations to HubSpot, Salesforce, and Outreach trigger the workflows downstream. In an owned GTM system it sits at the inbound layer as the de-anonymization trigger. RB2B is our default for US based visitors, where it resolves traffic down to the named person, while Leadinfo carries Europe and Snitcher is the clean GA4 alternate. We run RB2B on client sites every day. Each identified visitor is a signal, not a finished lead, so we route it into Clay for enrichment and scoring against the ICP, then identify the rest of the buying committee before anyone follows up. We only act on the matches that fit. Used that way, RB2B turns quiet traffic into warm, timely outbound, and the visitor who was an anonymous hit this morning becomes a named account a rep can work this afternoon.
Pro’s
Identifies visitors down to the named person and LinkedIn profile, not just the company.
Real-time Slack and Teams alerts let teams act on intent within minutes of a visit.
Setup is genuinely fast, a single pixel and a Slack connection get you live in minutes.
Hot Pages and ICP filters cut noise so reps only see visitors that fit the profile.
Native integrations to HubSpot, Salesforce, Slack, and Outreach trigger downstream workflows.
A free tier and transparent published pricing make it easy to test before committing.
Cons
Identification is US-only, so EU and APAC traffic returns no person-level matches.
Person-level match rates sit around 10 to 20 percent, lower than account-level tools.
The monthly credit model creates artificial scarcity once high-traffic sites burn through their cap.
Overage rates add up fast, so heavy traffic can push real cost well past the headline price.
Signal can be noisy, with competitor reps and non-buyers showing up alongside real prospects.
Pricing
Free
$0 per month
150 monthly resolutions
Company-level identification
Basic Slack and Teams integration
Starter
$79 per month
300 monthly resolutions
LinkedIn URLs pushed to Slack
Limited integrations
Pro
$149 per month, tiered credits
600 to 2,500 monthly resolutions
Business email enrichment
Contact-level site ID, US only
All integrations
Pro+
$199 per month, extensive tiered credits
Premium resolution with higher match rate
Business email enrichment
Contact-level site ID, US only
All integrations
Alternatives
At a glance
Person-level visitor identification
Matches visitors to LinkedIn
Real-time Slack and Teams alerts
Business email enrichment on paid
Five-minute pixel install
HubSpot, Salesforce, Outreach integrations
Hot Pages and ICP filtering
Free tier available
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