How Account Matching Works
Understand how RevenueProven matches LinkedIn-engaged companies to your CRM records without cookies.
The Matching Problem
LinkedIn knows which companies engaged with your ads (by employer domain). Your CRM knows which companies are in your pipeline. The challenge is connecting these two datasets accurately. RevenueProven solves this without cookies, pixels, or any client-side tracking — using only server-side data from LinkedIn's APIs and your CRM.
Domain-First Matching
Our primary matching method uses website domains. LinkedIn provides organization data including website URLs for engaged companies. We normalize these domains (strip www, https, trailing paths) and compare against the website/domain fields in your CRM company records. Domain matching is deterministic and highly accurate.
Fuzzy Name Fallback
When a domain match isn't possible (e.g., the LinkedIn org or CRM record is missing a website), we fall back to fuzzy company name matching. We use normalized string comparison with a configurable confidence threshold (default: 85%). Matches below the threshold are flagged for manual review rather than auto-matched.
Match Confidence Scores
Every match receives a confidence score: "High" (exact domain match), "Medium" (domain match after normalization), or "Low" (fuzzy name match above threshold). You can filter the Attribution dashboard by confidence level. We recommend periodically reviewing "Low" confidence matches to ensure accuracy.
Unmatched Companies
Companies that engage with your LinkedIn ads but don't exist in your CRM appear as "Unmatched." These are actually valuable — they represent net-new accounts your ads are reaching that your sales team hasn't engaged yet. Use the unmatched companies view to identify greenfield targets.
Improving Match Rates
The single biggest thing you can do to improve match rates is ensure your CRM company records have website domains populated. RevenueProven's matching accuracy directly correlates with CRM data quality. We provide a "Missing Domains" report to help you identify CRM records that need website fields filled in.