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They're all anonymous. Marketing teams recognize the website as the central hub for all activity, yet they struggle to link this activity to actual accounts, individuals, or decision-making processes. The visitors stay ghosts. The insights stay buried. And the question "which campaigns are actually working?" remains unanswered.
However, when you can reliably de-anonymize that traffic and stitch it into complete journeys from the first anonymous visit through to the closed deal, then everything changes. This is how B2B Marketing Attribution moves from guesswork to proof, and how marketing software becomes an operating system for smarter targeting and budget decisions.
Most B2B buying happens before anyone fills out a form. Research shows buyers are approximately 70% through their purchasing process before they ever contact sales.
That means 70% of your campaign influence is invisible if you're only tracking form fills, making reliable attribution nearly impossible.
Three consequences show up fast:
You can't prove which campaigns attract your ICP. CTRs look healthy. Clicks roll in. But you don't know if those clicks come from 5,000-employee enterprise accounts or 50-employee startups until someone converts, and by then, you've already burned budget on the wrong audience.
Your targeting gets worse over time. Without visibility into who's engaging before they convert, you can't feed audience intelligence back to your media platforms. LinkedIn keeps expanding its reach to non-ICP. Google PMax drifts toward cheaper clicks that never convert. Programmatic burns budget on irrelevant personas.
Attribution systematically under-credits demand creation. First-touch and last-touch models only see form fills and opportunity creation. They miss the anonymous research, the pre-event browsing, the multi-threaded committee engagement that actually created demand.
De-anonymization isn't about identifying visitors. It's about connecting anonymous activity to complete account journeys, which is the foundation of reliable attribution that shows what's actually driving the pipeline.
Here's what that visibility unlocks:
See which high-intent accounts are engaging with your content before they ever fill out a form. When a 5,000-employee enterprise visits your pricing page three times in a week but hasn't converted, that's a signal. When multiple people from the same account engage across different channels, that's a buying committee forming.
De-anonymization surfaces new opportunities, enabling sales teams to proactively reach out rather than wait for potentially elusive inbound leads.
Get weekly visibility into the actual company size, revenue bands, and personas clicking your ads before they fill out forms. This is the feedback loop that fixes broken targeting:
With this intelligence, media owners can make informed decisions about company lists, employee bands, keywords, and creative, before another month of budget disappears.
Connect anonymous visits to complete account timelines showing every touch: the LinkedIn ad they clicked three months ago, the webinar they attended last month, the pricing page they visited yesterday. This is where you move from measuring channels in isolation to understanding how programs compound:
When you can see this stitched journey at the account level, you stop arguing about which channel "gets credit" and start understanding which combinations accelerate deals.
With complete journey visibility, including both anonymous and known touches, you can finally run attribution models that reflect reality.
Track these across 180–360 day windows because that's how long B2B cycles actually take. And because you've stitched in the anonymous research phase, your attribution finally credits the programs that created demand—not just the ones that captured it.
"How is this different from reverse-IP lookup tools?"
Reverse-IP identifies companies visiting your site. RevSure goes further: we stitch those visits into account journeys, connect them to your CRM data, validate identity quality, generate audience intelligence by campaign, and feed everything into multi-touch attribution. It's not just identification—it's operationalization.
"Will this work with our messy data?"
Yes. RevSure's identity engine includes automated data validation, vendor waterfall enrichment, and conflict resolution. We quarantine records that fail quality checks so bad data never reaches your attribution models or targeting lists.
Your website is sending you signals—thousands of them, every month. The CEO who spent 12 minutes reading your security whitepaper. The VP of IT who visited your pricing page three times last week. The director who clicked your LinkedIn ad, browsed four product pages, then disappeared.
Audience intelligence delivers value immediately; you'll spot campaigns attracting non-ICP in the first week and have the data to refine targeting right away. Full attribution impact takes 60–90 days because you need complete journey cycles flowing through your funnel.
RevSure's de-anonymization connects anonymous activity to your complete revenue operations without the heavy lift.
Your website is already generating thousands of high-intent signals. The question is whether you're connecting those signals to decisions that improve targeting and prove attribution. When you stitch anonymous and known touches into complete account journeys, four things become possible:
That's how marketing moves from "we think this is working" to "we can prove this drove $4.2M in pipeline from our ICP." De-anonymization isn't a dashboard to admire. It's an operating system that connects visibility to action, giving you the data to make better targeting decisions, prove attribution, and allocate budget with confidence.
Learn more about RevSure's full-funnel attribution solution or schedule a demo to see your de-anonymized data in action.

