RB2B Pricing in 2026: Free Tier Limits and When to Pay

The question I get most from early-stage B2B SaaS RevOps teams is not “should we use visitor identification” but “is the RB2B free tier actually enough, or is this a loss-leader designed to make us upgrade in 30 days?” Fair question. The free tier is genuinely useful. But it has real constraints that push you toward a paid decision faster than most vendors admit, and the competitive set has shifted enough in 2026 that defaulting to RB2B without at least glancing at Warmly, Vector, and Factors.ai is a mistake.

What the free tier actually gives you (and where it stops)

The RB2B free plan identifies individual visitors by name, LinkedIn profile, and company, pushing that data directly into a Slack channel. You get up to 100 person-level reveals per month. No expiry. That is a genuinely different value proposition from the typical 14-day trial model. I have watched clients at Homegrown Growth Co. run on the free plan for six months before outgrowing it.

What you do not get on free: webhook or Zapier/Make integrations, CRM push, CSV exports, API access, or historical data beyond a rolling window. In practice, this means your workflow is Slack notification to manual copy-paste into your CRM. Fine if you have one SDR reviewing ten hot visitors a week. It breaks the moment you want automated enrichment or routing logic.

The other hard constraint is geography. Person-level data is US visitors only. Account-level identification (company name, industry, page views) works for international traffic, but you lose the LinkedIn profile match that makes RB2B worth using in the first place. If 40 percent of your pipeline comes from Europe, your effective ceiling is well below 100 reveals.

The true cost: free tier math for a real team

Here is the arithmetic I walk clients through. Take 2,000 unique monthly visitors, a 3 percent ICP match rate (realistic for a focused B2B SaaS), and 60 percent US traffic. That produces roughly 36 person-level reveals per month. Free tier covers this comfortably. You are unlikely to upgrade for at least a year.

Flip the inputs: 8,000 visitors, same ICP rate, same US split. Now you are at around 144 person-level reveals. You hit the ceiling at month one.

The upgrade to paid at roughly $149/month is straightforward math. The part most evaluations skip is the integration work sitting behind it. Pushing reveals to HubSpot with proper contact deduplication and sequence enrollment requires either a native connector (paid tier only) or an n8n workflow on top. I have built this for clients and it is not complex, but it is not zero effort either. Budget a few hours and a $20/month n8n instance if you want it done right.

That overhead matters more than people expect. By the time you account for the SDR time required to manually action free-tier RB2B data, you might be spending more in labor cost than a Warmly subscription runs. Warmly bundles the orchestration layer natively. For a reference on how to build that signal-to-action motion once visitor data is flowing, the Warmly + Make signal-based outbound workflow guide covers the sequencing layer in detail.

Which tier fits which team

RB2B vs. Warmly vs. Vector vs. Factors.ai

Choose RB2B if

• You are under 100 US monthly reveals and want zero cost, zero commitment person-level ID
• Your outbound motion is manual SDR outreach from Slack notifications and that is intentional
• You are US-market focused and person-level LinkedIn data is the primary use case

Free up to 100 reveals, ~$149/mo paid Try RB2B free →

Choose Warmly if

• You want visitor ID plus real-time sales orchestration (auto-sequencing, rep alerts, AI chat) without stitching tools together
• Your team is running signal-based outbound and you need the intent layer baked in, not bolted on
• You have a dedicated RevOps resource to configure routing rules and playbooks

Free tier available, paid from ~$700/mo Try Warmly →

Choose Vector if

• You need person-level contact resolution paired with B2B intent data from multiple signals, not just web visits
• You are doing account-based plays and need a buying committee map, not just a single visitor name
• Your ICP has strong third-party intent signals that web-visit-only tools miss

Custom pricing, starts ~$500/mo Try Vector →

Choose Factors.ai if

• You need account-level analytics (multi-touch attribution, pipeline influence) alongside deanonymization
• Your team is heavier on marketing analytics than SDR outbound and you want a single platform
• International traffic is a meaningful share of your pipeline and US-only tools leave you blind

Free plan, paid from ~$299/mo Try Factors.ai →

Where the pricing is fair and where it stings

The RB2B review I published recently covers the overall value trade-off in more depth, including whether data quality holds up against paid alternatives. Short version: for US-focused, early-stage teams with an SDR working named accounts, RB2B free is genuinely good. For teams that need automation and attribution alongside identification, Factors.ai or Warmly justify their price faster.

On the competitive positioning: Factors.ai has the strongest account analytics story. Warmly wins on orchestration. RB2B wins on simplicity and price-to-value at low volume. Vector sits in a different lane entirely. Think of it as an intent aggregator with contact resolution, not a pure visitor ID tool, and it is priced accordingly.

If you are evaluating these tools alongside other data enrichment decisions, the frameworks in the Lusha pricing breakdown apply here too. Always model cost per actioned lead, not just the monthly fee. A $149/month tool that produces 12 actioned leads is cheaper than a $49/month tool that produces three.