LinkedinLens

B2B agencies can report impressions and reactions but struggle to show whether approved target accounts engaged or later appeared in pipeline. LinkedinLens joins permissioned engagement records with customer-owned account and opportunity data under per-client boundaries, then produces a weekly digest of matched, unmatched and unresolved evidence. The supplied research confirms a direct in-house attribution competitor and a forming category of professional-network revenue attribution tools. One data-service unit price and the proposed subscriptions are observed market references, not fixed product pricing. The supported wedge is multi-client agency governance and white-label reporting, not a claim that the category is empty. A profile match is not identity certainty; engagement is not buying intent; later pipeline presence is not causal attribution. Permission, source event, identity match, target-account classification, pipeline readback, attribution rule, client approval, report delivery and revenue remain separate. The product can make audience-fit evidence reusable. It cannot bypass platform terms, scrape inaccessible data, guarantee complete engagement coverage or prove that content caused a deal.

A B2B content or social agency managing multiple clients that need permissioned audience-fit and pipeline evidence in recurring reports.