RB2B vs Vector vs Leadfeeder: Which Visitor Identification Tool Actually Closes Deals
What each tool actually does (honest comparison)
RB2B
Individual-level visitor identification via cooperative network. Free tier handles low-to-moderate traffic; paid tiers scale with volume. Surfaces visitor name, LinkedIn URL, sometimes work email. Best when your traffic is B2B-skewed and the cooperative network has good coverage of your visitor demographics. The free tier is genuinely free for operators starting out — no annual commitment required.
Vector
Company-level and individual-level identification with contact-database integration built in. $300-$2K/month range depending on volume. Strongest when the use case is B2B sales intelligence — you want to identify the visiting company AND get a list of contacts at that company to outreach. The downside: you're paying for the database, the identification, and the routing in one bundle, which is great until you want to swap any component.
Leadfeeder (now Dealfront)
Company-level identification with intent scoring and integrations into major CRMs. $99-$2K/month range. Best for sales teams that already have a CRM and want enriched visitor data flowing into existing pipeline structures. Doesn't typically surface individual visitor names — company-level only, which limits how personalized the downstream outreach can be.
Demandbase, ZoomInfo, and 6sense sit further up the enterprise stack ($30K-$150K/year tier) with full database + intent + identification combined. Same fundamental architecture; different price and integration footprint.
The honest answer: identification is the easy part
All of these tools work. They identify visitors at varying granularity for varying prices. Operators who debate which to pick often skip the harder question: what happens after the visitor is identified?
Most identification implementations end in a Slack notification or a CRM record. The visitor's name shows up in a feed. The operator looks at it once. Two weeks later, the visitor is forgotten, the lookalike-seed value of that identification is lost, and the operator is back to evaluating which tool to switch to.
The compounding value of visitor identification only emerges when the identified visitor is fed into a downstream architecture: behavioral enrichment, intent scoring, cohort overlap with other audiences, cadence dispatch, and audience-asset accumulation. Without the downstream, RB2B vs Vector vs Leadfeeder is a comparison of feature checklists. With the downstream, the choice mostly evaporates — any of them will work as the front layer.
What the downstream architecture looks like
Identified visitor → enriched profile (LinkedIn data + ScrapeCreators social enrichment + Hunter email lookup) → 8-framework Hormozi diagnostic scoring against the visitor's apparent business posture → intent score calculation → if intent ≥ 81, auto-strike fires: a personalized Private Room asset is generated for the prospect, the closer-dispatch path notifies the operator's phone, and the visitor enters a behaviorally-routed cadence sequence (new_lead / no_show / win_back / referral / competitor / re_engage — six sequences, picked based on signal).
Each downstream action also writes back to the audience asset table. The identified visitor becomes a lookalike-seed contributor. Their on-site behavior trajectory enriches the next prospect's diagnostic. The system gets smarter with every visit it processes.
This is what closes deals. The identification at the front is the entry point. The architecture that runs downstream is what converts visitor → revenue.
- Front layer: identification (RB2B / Vector / Leadfeeder — any works)
- Enrichment layer: LinkedIn data + social profile + email lookup
- Diagnostic layer: 8-framework Hormozi scoring per visitor
- Intent layer: scoring + auto-strike trigger at 81+
- Close layer: personalized Private Room + operator notification
- Cadence layer: 6 sequences, signal-routed per visitor
- Asset layer: audience-asset table, lookalike seed compounding
If you're picking one tool today, here's the practical answer
If traffic volume is low and budget is tight: start with RB2B free tier. It identifies individual visitors well enough to validate whether downstream architecture is worth building. Switch later if volume scales beyond the free tier's economics.
If you already have a CRM and a sales team: Leadfeeder or Vector for the integration depth. The CRM-native flow matters more than the identification granularity when you have humans doing the actual outreach.
If you're enterprise tier with budget for everything: Demandbase or 6sense bundle the database + identification + intent into one contract. Worth it at scale. Not worth it for operators below the seven-figure-revenue tier.
Regardless of which front layer you pick, the downstream architecture is what determines the close rate. The compounding intelligence layer at MaximizedAI sits behind any of these tools — it consumes the identified visitor stream and runs the diagnostic + enrichment + Private Room + cadence + audience-asset accumulation.
Frequently asked
Is RB2B's free tier really free, or is it freemium-with-limits?
RB2B's free tier is genuinely free for low-to-moderate traffic levels. The cooperative-network model means RB2B is incentivized to give the free tier real value — they need participants to make the identification network work. Paid tiers scale with volume; check current pricing at rb2b.com for the specific thresholds.
Can I run RB2B + MaximizedAI's compounding layer together?
Yes. RB2B handles the front-layer identification; the compounding intelligence layer consumes the identified-visitor stream and runs the downstream architecture (enrichment, diagnostic, Private Room generation, cadence, audience-asset accumulation). They're complementary, not competitive.
What if my traffic is mostly B2C, not B2B?
RB2B and similar B2B-focused tools work less well on B2C traffic. The compounding intelligence layer handles B2C identification through cross-platform engagement matching (someone who liked your IG post, watched your TikTok, and visited the site is identifiable as one person across surfaces). Different mechanism than RB2B's cooperative-network B2B identification.
Why don't most companies act on identified visitors?
Because identification without downstream architecture stops at "Slack notification." Operators see the visitor's name, look at it once, and move on. The mechanism that converts identification into revenue is the downstream architecture — diagnostic scoring, Private Room generation, cadence dispatch, and audience-asset compounding — which most identification tools don't ship with.
What's a Private Room?
A personalized close asset generated per high-intent prospect (intent score 81+). It includes the prospect's name, vertical, competitor context, and a specific frame for how the operator's system fits their operation. Operator-locked close mechanic — currently 32 Private Rooms in our production database. The mechanism reduces close-conversation time from hours of email back-and-forth to one focused conversation.