Delivr.ai vs. RB2B: Full-Web Deterministic Intent vs. Website Visitor ID

RB2B has attracted attention with a bold value proposition: identify the specific people visiting your website, complete with LinkedIn profiles, in real time. For B2B companies frustrated by the anonymity of website traffic, this feels like magic. Delivr.ai solves a broader problem — identifying people showing intent across the entire web, not just your own site, and activating those signals through a built-in DSP.

What RB2B Does Well

RB2B's appeal is simplicity. Install a script on your website, and you start seeing individual visitors identified with names, titles, companies, and LinkedIn profiles. The product is focused, easy to implement, and delivers an immediate "wow" moment for sales teams who have never seen their anonymous traffic deanonymized.

For early-stage companies with limited tech stacks, RB2B provides a fast path to visitor identification without the complexity of enterprise identity resolution platforms.

The Limitations: Probabilistic, Website-Only, No Off-Site Intent

RB2B's identification is probabilistic — it uses IP resolution and browser signals to infer who is visiting, not deterministic identity matching. This means accuracy varies significantly, and the platform cannot distinguish between multiple people at the same IP address (common in offices, VPNs, and shared networks).

More fundamentally, RB2B only sees your website. If a prospect researches your category on 20 different sites but never visits yours, RB2B has zero signal. This means you only see late-stage buyers who have already found you — missing the entire upstream research journey where competitive positioning happens.

RB2B also has no activation layer. Once you see a visitor, you manually add them to your outreach. There is no programmatic activation, no automated sales alerts, no DSP, no CTV.

Delivr.ai: Full-Web Intent, Deterministic Resolution

Delivr.ai captures 1.1 trillion monthly signals from across the open web — publisher co-ops, bid-stream, content consumption, and yes, website visits. But website visits are one signal type among many, not the entire product.

Every signal resolves deterministically to a known person through Delivr.ai's identity graph. There is no probabilistic guessing from IP addresses. The resolution is 100% deterministic — every signal maps to a verified email, phone, and profile.

Delivr.ai's V2 Intent Model then scores each person on a 0–100 scale with a trend direction indicator. This means you know not just who visited your site, but who is researching your entire category — and whether their interest is accelerating or fading.

Head-to-Head: Key Dimensions

When RB2B Makes Sense

RB2B is a reasonable starting point for small teams who want basic website visitor identification with minimal setup. The "see who's on your site" use case is immediately understandable and delivers fast time-to-value.

But if you need to identify buyers before they find your website, understand the full research journey across the open web, and activate through channels beyond manual outreach — RB2B's website-only, probabilistic model cannot provide that. Delivr.ai delivers the full picture with deterministic precision.