Warmly and RB2B both promise to tell you who is on your website. The core distinction is what "who" means: Warmly identifies the company (and routes enriched account signals to sales); RB2B identifies the individual LinkedIn profile (and routes their profile directly to a Slack channel or CRM). Both are useful. Which one is right depends on whether your sales team's primary workflow bottleneck is "which company should I call" or "which specific person do I email right now."
Full disclosure: Abmatic AI is a full-stack ABM platform that competes with visitor identification tools as part of a broader ABM stack conversation. This comparison covers Warmly and RB2B on their own merits, based on their public documentation and publicly available pricing information.
Warmly is a website intelligence platform that identifies companies visiting your site using IP resolution and firmographic enrichment, then routes those signals to sales. The core experience is a Slack alert: "Acme Corp is on your site, they visited the pricing page twice, here are 3 contacts at Acme with LinkedIn profiles and emails."
Beyond the basic alert, Warmly has built out an orchestration layer: it integrates with Outreach, Salesloft, and Apollo to trigger sequences directly from a visitor event, it enriches identified companies with third-party intent data (including Bombora signals per Warmly's public materials), and it includes an AI routing layer that filters low-priority visitors before alerting sales to reduce noise.
Warmly supports both company-level and person-level identification. For person-level, it uses its own data graph alongside RB2B-style LinkedIn matching where available. This makes Warmly a more complete visitor intelligence product: it covers the company identification use case (who is visiting) and the person identification use case (who specifically from that company is visiting) in a single tool, with more integrations than RB2B.
RB2B's product is deliberately narrow: identify the LinkedIn profile of the individual person visiting your website and deliver it to your sales team in real time via Slack or CRM. The proposition is simple: stop guessing which person at a target company to reach out to. The visitor just told you by visiting your site.
RB2B built a data graph that matches website visitor cookies and device signals to LinkedIn profile data. When a visitor lands on your site, RB2B attempts to resolve their identity to a specific LinkedIn profile (name, title, company, LinkedIn URL) and delivers that profile to your configured destination. For B2B SaaS companies with primarily professional audiences visiting from work devices, the identification rates can be meaningful.
The product is intentionally minimal. RB2B identifies visitors and routes them. It does not do company-level enrichment at depth, does not integrate with outreach sequences natively (beyond delivering the profile), and does not include intent data enrichment. The free tier delivers profiles to a Slack channel. Paid tiers add CRM integration and higher volume.
| Capability | Warmly | RB2B |
|---|---|---|
| Company-level identification | Yes, core capability with firmographic enrichment | Limited (company inferred from LinkedIn profile) |
| Person-level identification | Yes, LinkedIn profile matching available | Yes, core capability (LinkedIn profile delivery) |
| Identification method | IP resolution + firmographic data + LinkedIn matching | Data graph + LinkedIn profile matching |
| Real-time Slack alerts | Yes, with enrichment and routing filters | Yes, primary delivery mechanism |
| CRM integration | Yes, Salesforce + HubSpot (native) | Yes, paid tier (Salesforce, HubSpot) |
| Outreach sequence triggering | Yes, native (Outreach, Salesloft, Apollo) | Via CRM (not direct sequence triggering) |
| Intent data enrichment | Yes, Bombora and other providers | No (visitor identification only) |
| AI routing / noise filtering | Yes, AI-powered routing rules | No (delivers all matched visitors) |
| Free tier | Yes, limited identified visitors/month | Yes, limited identified visitors/month (Slack delivery) |
| Pricing (paid) | Scales with visitor volume; publicly stated pricing varies by plan | Scales with visitor volume; publicly stated pricing varies by plan; see rb2b.com |
| Primary use case | Account intelligence + sales orchestration | Person identification for outreach |
Both tools depend on data graph quality for identification accuracy. Neither publishes specific identification rate benchmarks publicly. What is documented from practitioner community experience:
Company-level identification (Warmly's primary mode) is more reliable than person-level identification. IP-to-company resolution works well for corporate office traffic from recognized business IP ranges. It works less well for remote workers on residential ISPs, VPN users, and mobile traffic. For a typical B2B SaaS site, expect to identify a meaningful fraction of traffic to company level, with accuracy varying significantly by target market and traffic source.
Person-level identification (RB2B's core and one of Warmly's capabilities) depends on cookie matching and device graph linkage to LinkedIn profiles. Identification rates for person-level resolution are lower than company-level identification and skew toward visitors who are logged into work accounts on work devices. Personal browsers, mobile devices, and incognito sessions reduce resolution rates significantly.
The practical implication: both tools work best for desktop traffic from corporate networks. If a large portion of your site traffic comes from mobile or residential connections (common for broader audience content like top-of-funnel blog posts), identification rates will be lower than the tool demos suggest using their curated traffic samples.
RB2B's narrow focus is its advantage for specific use cases:
Some teams run both Warmly and RB2B simultaneously: Warmly for company-level intelligence and account orchestration, RB2B for person-level LinkedIn profile identification. This double-covers the identification question: you know which company is visiting (Warmly) and which specific person from that company visited (RB2B). The overlap in capability means you are paying for two tools where one should theoretically suffice, but the data graph differences between the two tools mean that some visitors resolve in one and not the other.
This combination is most common in teams at 50-200 employees where the incremental cost of running both tools is justified by the identification rate improvement. For teams with tighter budgets, choosing one and optimizing around its capabilities is typically more efficient.
Warmly and RB2B are visitor identification tools. They tell you who is on your site. They do not:
For teams running structured ABM programs where these capabilities matter, visitor identification is one layer of the stack, not the full stack. Platforms like Abmatic AI handle the full ABM loop: scoring the account universe before they visit, personalizing the visit when they do, and routing the full signal context to CRM for sales follow-up. See how this compares to pure visitor identification tools in our RB2B alternatives guide and our Warmly alternatives guide.
Warmly identifies companies visiting your website and routes those signals to sales via Slack, CRM enrichment, and outreach triggers. RB2B identifies individual LinkedIn profiles of people visiting your website and routes those profiles directly to sales. Warmly covers both company and person-level identification with more integrations; RB2B is more narrowly focused on LinkedIn profile matching.
RB2B matches website visitors to LinkedIn profiles using its data graph. Identification rates depend on traffic quality, geographic distribution, and industry. B2B SaaS sites typically see better identification rates than sites with mixed B2B/B2C traffic. RB2B does not publicly state a specific identification rate; per community discussions, rates vary significantly by site and audience.
RB2B offers a free plan with limited identified visitors per month and Slack delivery of LinkedIn profiles. Paid plans extend identified visitor volume and add CRM integrations. Publicly stated pricing varies by plan; see rb2b.com for current tiers.
Neither Warmly nor RB2B is a full ABM platform. Both are visitor identification tools optimized for sales routing rather than full account-based marketing programs. For enterprise ABM that includes predictive scoring, multi-channel orchestration, and on-site personalization, teams typically use a dedicated ABM platform alongside visitor identification tooling.
Both Warmly and RB2B operate in a space where data privacy regulations are increasingly relevant. Person-level LinkedIn profile identification (RB2B's core capability) intersects with GDPR in Europe, CCPA in California, and emerging state-level privacy laws in the United States in ways that team buyers should address before deployment.
B2B data and regulatory distinctions: Many privacy frameworks distinguish between B2B and B2C data collection, with professional contact data receiving different treatment in some jurisdictions. These distinctions are not blanket exemptions, and the specific application varies by geography and use case. Legal counsel review of how each tool's identification and data practices align with your specific operating markets is advisable before deployment, particularly for European audiences.
Consent mechanisms for person-level identification: In GDPR-regulated markets, identifying specific individuals visiting your website by name, LinkedIn profile, and employer may require consent mechanisms that company-level IP identification does not. What constitutes appropriate consent depends on your data collection scope and geography: this is an area where legal guidance supersedes vendor sales team guidance.
Data processing agreements: Both platforms should provide data processing agreements documenting how personal data is handled, stored, and processed. Request these during evaluation and verify they cover your primary operating jurisdictions. This is a procurement prerequisite, not an afterthought.
Data retention and deletion: How long does each platform retain identified visitor data? What are the deletion and export mechanisms for data removal requests under applicable privacy law? These questions belong in the vendor contract before signature.
Neither platform's privacy posture is inherently superior: both operate within B2B data collection norms that continue to evolve under regulatory pressure. Teams that proactively address these questions during evaluation avoid compliance surprises post-deployment and reduce the risk of privacy incidents that can damage long-term buyer trust and brand reputation.
RB2B wins on simplicity and person-level identification speed. Warmly wins on breadth: more integrations, AI-assisted routing, intent enrichment, and a more complete account intelligence picture. For teams that need only a LinkedIn profile delivered to Slack quickly, RB2B is the faster path. For teams that need account-level intelligence, outreach sequence triggering, and intent signal overlay, Warmly is the more complete tool.
For teams that need the full ABM loop beyond visitor identification, including predictive scoring across your entire target universe and on-site personalization, book a demo with Abmatic AI to see how the full stack compares. You can also review our RB2B alternatives guide, our Warmly alternatives guide, and our full ABM platform overview for additional context on where each tool fits in the broader B2B GTM stack.