Warmly vs RB2B: The B2B Visitor Identification Comparison

Warmly and RB2B both identify anonymous B2B website visitors, but they are built for different jobs. Warmly is a full platform that identifies, scores, routes, and engages. RB2B is a focused feed that names person-level visitors and drops them into Slack. The right pick comes down to whether you want a complete workflow or just the data. Below is the head-to-head, drawn from hands-on B2B SaaS work and public 2026 pricing. Treat the figures as directional and confirm current terms with each vendor.

Warmly vs RB2B at a glance

Both sections below follow the same five-part structure so they stay comparable: what the tool identifies, pricing tier, CRM integrations, best for, and limits. Every pricing and match-rate figure is the vendor's own published or publicly reported number, linked to its source, and all of them move. The vendor pricing pages are the only authority on current terms.

When is Warmly the better pick?

What it identifies. Warmly identifies a high share of B2B visitors at the company level and a thinner share at person level, then adds the layers RB2B deliberately leaves out: intent scoring on the pages a visitor touched, session context, real-time Slack alerts, and an AI chat agent that can open a conversation while the visitor is still on the site. Warmly reports company-level identification up to 65 percent of B2B traffic.

Pricing tier. No free identification tier. Paid plans are publicly reported starting in the mid-hundreds per month, commonly quoted around 700 to 900 dollars, typically on an annual commitment that scales with identified visitor volume. Current tiers are on Warmly's pricing page.

CRM integrations. Native bidirectional sync with HubSpot and Salesforce: identified companies, page views, and intent scores write back onto real CRM records, so routing rules, lists, and lead scoring can act on them without middleware. Slack, sales engagement platforms, and webhooks cover the rest. The integrations directory lists the current set.

Best for. Teams with real traffic and enough reps that manual follow-up drops leads, typically between 5 million and 50 million dollars in ARR, especially those without a separate routing or engagement tool already in place. The consolidation replaces several point tools, which is why the higher sticker price often nets out closer than it looks.

Limits. You are buying orchestration whether or not you use it, there is no free tier to pilot on, and annual commitments are standard. Person-level coverage is narrower than the headline company-level figure implies, and identification rates drop on mobile-heavy, VPN-heavy, or consumer-mixed traffic.

When is RB2B the better pick?

What it identifies. RB2B does one job: it matches individual US visitors to professional profiles and drops the named person, title, company, and LinkedIn URL into Slack. Publicly reported person-level match rates land roughly in the 15 to 30 percent range. There is no intent score, no routing engine, and no engagement layer, by design.

Pricing tier. A usable free tier with capped monthly credits, then paid plans publicly reported starting in the low hundreds per month and scaling with identified-profile volume. Current tiers are on the RB2B pricing page.

CRM integrations. Slack first, then webhooks and Zapier. There is no deep native CRM object sync, so getting RB2B output into HubSpot or Salesforce as structured records normally means a middleware step you build and maintain. The RB2B integrations page shows what is native today.

Best for. Budget-conscious and early-stage teams that mainly need person-level identification and already run their own outreach. The free tier makes it a low-risk starting point, and on lower-traffic sites the manual handling is genuinely manageable.

Limits. US traffic only, which rules it out as the primary tool for EMEA-heavy or APAC-heavy sites. Named-person identification also carries a higher consent and privacy bar than company-level matching, so the privacy policy and consent banner work is mandatory rather than optional. And a Slack feed nobody works is worth nothing.

Pricing and integrations side by side

Which should you choose for your situation?

What actually turns identified visitors into pipeline?

Neither tool books meetings on its own. The pipeline comes from the workflow behind it: filter identified visitors down to your ICP, prioritize by intent, route to the right rep, and respond in under five minutes. The response window is the part teams underrate. The Lead Response Management study (Oldroyd, 2007) is the source behind the widely repeated finding that odds of qualifying a lead fall sharply once the first response slips past the first few minutes. Treat it as directional, and note that it predates both of these tools, but the ordering it implies has held up in practice: identification speed is worthless if the follow-up is slow.

A workable install sequence, whichever tool you pick, looks like this.

• Filter to ICP first. An unfiltered visitor feed trains reps to ignore it inside a week.
• Score by page, not just by firmographics. A pricing-page visit from a target account is a different event from a blog read.
• Route to one named owner. Alerts into a shared channel with no owner are alerts nobody answers.
• Write back to the CRM. If the signal never lands on a record, it never shows up in reporting and it dies with the Slack message.
• Measure your own first-response time. It is the one number that predicts whether either tool pays for itself.

The Artemis Visitor Deanonymization agent installs whichever tool you pick and wires it into that speed-to-lead workflow. For the full category ranking, see the best visitor identification tools, or read how visitor identification works if you are still deciding whether the category is worth a line item.

Frequently asked questions