Your website and AI touchpoints already carry buying signals, they're just anonymous. Sales Intelligence bundles visitor sessions into account journeys with a detected buying phase (Research → Comparison → Decision), a behavior timeline and the signals behind it — so sales knows who is asking, what they wanted to know, and how far along they are.
B2B buyers research quietly: they read your pages, ask your chat, compare and leave, without filling a form. Analytics shows anonymous sessions. Sales Intelligence shows the companies behind them, and where each one stands in its buying process.
Six concrete capabilities, all live in the product. Figures below are illustrative demo data; in the product they show your real accounts.
Visitor sessions are resolved to companies where possible, at company level, not person level.
Repeat visits and multiple visitors from the same company become a single journey instead of scattered sessions.
Behavior patterns place each account in a phase, so you know who is orienting and who is about to decide.
Pages read, questions asked, returns and revisits, one chronological view per account.
Pricing revisits, decision-stage questions, multiple visitors from one company: flagged as signals, not buried in logs.
When a visitor shares their email through your touchpoints, the anonymous sessions are linked to that contact, journey included.
Questions from your chat and widget reveal what an account needs to understand before it buys. Sales Intelligence adds the missing half: which company asked, and how far along it is. Together that's a sales-ready picture, not two separate logs.
Every recognized account has a research view: the behavior timeline, the detected signals, the linked contacts, and a research section you can extend manually, notes, findings, context your team adds.
Every page view, question and return in chronological order, the account's story so far.
The flagged moments: pricing revisits, decision questions, multiple visitors, phase shifts.
Contacts captured via email are attached to the journey, the anonymous history stays connected.
Add your own notes and findings to the account, the research grows with your team's knowledge.
When an account shows decision signals, Sales Intelligence hands it to sales with everything attached: phase, timeline, the questions it asked, linked contacts. Sales starts the conversation informed, not cold.
Visits across website and AI touchpoints are captured as sessions.
→Sessions are resolved to companies where possible, at company level.
→Sessions and visitors from one company become one journey.
→Buying phase and signals are derived from behavior, explainably.
→A shared email links the anonymous journey to a known contact.
→Hot accounts go to sales with phase, timeline and questions attached.
Account journeys pay off where buying decisions involve research, several people and real evaluation. Clear targeting, not a claim of fit for everything.
Honest scope: if companies aren't your buyers, this isn't your feature, and we'll say so.
Sales Intelligence recognizes companies, not private individuals. A person is linked to a journey only when they share their email through your touchpoints.
Recognition targets the company behind a visit. Individual visitors stay anonymous within the account journey until they identify themselves.
Email capture connects a contact to a journey only when the visitor submits their email through your own forms and touchpoints, no personal enrichment without a legal basis.
Data is hosted in the EU and kept minimal. The design follows GDPR requirements, data that isn't needed isn't collected.
Sales Intelligence turns your existing traffic into account journeys with buying phase, timeline and signals, and hands hot accounts to sales with context.