Intent data.
Know what the signal actually identifies.

Research activity and a sales request are different evidence.

A product-page view, category comparison or recorded topic interest can help a team decide where to investigate. A direct request for a relevant conversation supplies different information: someone has actually asked for something. Do not flatten these records into a single label that sounds like confirmed purchase intent.

G2's product documentation describes signals from activities such as product and category page views and competitor comparisons. Its service is an example of a research-signal source. Those descriptions do not establish the identity, authority or buying commitment of a contact you separately find at the company. See G2's description of its buyer-intent data.

Compare this layer with firmographic company attributes and technographic system observations. Company characteristics, observed technology and research activity answer different questions. None by itself supplies a verified address, a buying project or permission to contact a person.

AN EXPLICIT INTERPRETATION CHECK

What can this signal support?

Keep the record's scope and freshness visible before deciding the next action. The reviewer organizes your selections; it does not verify a data provider or the underlying event.

Three reports can still mean one company.
And no identified buyer.

Suppose one provider reports topic research at Example Company. A second feed republishes that same observation. A separate record reports a category-page interaction associated with the same company. You now have three report rows and two underlying observations about one company. The records identify no individual who asked for a sales discussion.

Keep the duplicate report for lineage if needed, but do not count it as independent corroboration. Record the original source, observation date, reported account identifier and matching limitation. Contact research can identify relevant responsibilities at that company; it cannot retroactively identify who performed an anonymous action.

Use signals to direct research.
Use conversations to establish the next step.

1. Retain the approved account criteria.

   Do not replace established customer-fit work with a high activity score. If the list has already been qualified, reuse that decision. A new signal can add context; it is not a reason to restart the assessment or remove all exclusions.

2. Inspect the source and unit.

   Determine whether the event belongs to an account, an identified person or an unresolved match. Keep the observation date separate from the date the vendor delivered the file. A freshly downloaded record can describe old activity.

3. Research the relevant responsibility.

   Identify the team that might own the business problem. Ask a relevant scope question. Do not tell a named contact that you saw them researching a product when the record only identifies an organization.

4. Preserve the reply evidence.

   A direct request, referral, later-timing response or refusal changes the next action. Use the B2B qualification checklist for the handoff. An opt-out or suppression instruction is not cancelled by a later provider score.

Plan the work behind the research with the sales prospecting workload calculator. It separates shared account research from the preparation needed for each contact, using your own working-time assumptions.

For HR software, the workflow-focused demo planner shows why a technology observation still leaves integration and buying-project questions open. For event engagement, the webinar cohort guide separates attendance from a request to meet.

Questions to resolve before buying or activating intent data.

A useful pilot compares a defined audience and observation window. Keep the baseline selection process visible and report differences in account coverage, relevant conversations, held meetings and accepted opportunities. Do not attribute a sales result entirely to the signal when targeting, copy, timing or delivery also changed.

Where this fits in managed outbound.

ReplyLead manages cold email and LinkedIn, including agreed audience research, infrastructure, messaging, reply handling and the sales handoff. Your team defines the commercial market, exclusions, permitted evidence and acceptance criteria. A specific intent-data feed or provider integration must be confirmed in scope; this guide does not claim one is included. See how the managed process works.

The published model includes a monthly technology and infrastructure fee plus an agreed share of attributable closed revenue. The fixed cost remains when nothing closes. Confirm any separate data cost and usage restrictions before launch, alongside attribution and existing-relationship exclusions. Review current pricing.

Do not turn a database's record count into a count of unique, reachable or interested buyers. Those units require their own definitions and evidence. No dataset size or intent-driven ReplyLead performance benchmark is asserted on this page.

What a signal review cannot establish.

The reviewer does not validate identity, legal permission, source accuracy, budget, authority or buying probability. Your selected "current" status means the observation is within the window you report; the tool has not checked the provider. Scores and classifications do not replace the prospect's own response.

This guide is about interpreting B2B commercial signals. Do not use it to infer sensitive personal characteristics or to claim that an anonymous visitor is a named person. A refusal must remain visible even when an older or unrelated research signal appears promising.

The rules behind the reviewer.

A recorded refusal takes precedence. Otherwise, unknown identity, unknown activity and stale observations require clarification before activation. Research activity supports a research question, not a confirmed purchase statement. An identified person's explicit current request can be routed for a relevant response while qualification and meeting acceptance remain separate.

Duplicate-source status is reported independently. It does not erase a real request, and it does not multiply the number of buyers. These are transparent operational rules, not a statistical model or confidence score. The tool stores no prospect data and sends no outreach.

Questions about intent data in B2B sales.

Sources and evidence boundaries.

• G2: buyer-intent data - vendor-described product/category research and comparison activity. Checked 17 October 2026. No performance claim or ReplyLead relationship adopted.
• ReplyLead: technographic data - technology observations are a separate data layer. Checked 17 October 2026.
• ReplyLead: how it works - managed cold email and LinkedIn responsibilities. Checked 17 October 2026.
• ReplyLead: pricing - fixed technology fee and agreed revenue share. Checked 17 October 2026.
• ReplyLead: B2B qualification - conversation evidence and the accepted next step. Checked 17 October 2026.

The reviewer and counting example are original operational guidance. Source descriptions are not independent validation of a provider's data quality or commercial outcomes.