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Match Rate

Match Rate (the matching percentage) is a key quality indicator for attribution. It shows what share of CRM rows were successfully matched with ad data.

Formula

Match Rate = (Matched Deals / Total CRM Deals) × 100%

Where:

  • Matched Deals — the number of CRM rows for which a match was found
  • Total CRM Deals — the total number of CRM rows in the report

Interpreting values

Match RateRatingWhat to do
70-100%ExcellentAttribution is accurate, the metrics can be trusted
40-70%AcceptableMost deals are accounted for, but there's room for improvement
20-40%LowA significant share of deals is unaccounted for, metrics may be distorted
0-20%CriticalAttribution is essentially not working, diagnostics are required

Realistic target values

Typical Match Rate values for different scenarios:

  • E-commerce with perfect UTM tagging: 80-95%
  • B2B with good UTM tagging: 50-80%
  • Business with partial UTM tagging: 30-50%
  • Business with phone leads (calls): 10-30% (UTM tags aren't passed on a call)

A 100% Match Rate is practically unattainable, because there are always deals that don't come from ads (direct visits, referrals, organic search).

What affects Match Rate

Increases Match Rate

  • Complete UTM tagging on all ads
  • Correct UTM propagation into the CRM
  • A large date window
  • Loose match mode
  • Source constant inference

Decreases Match Rate

  • Missing UTM tags on some ads
  • UTM tags lost when passed to the website or CRM
  • A small date window
  • Strict match mode
  • Different traffic sources (not just ads)

How to use Match Rate

To assess data quality

A low Match Rate indicates problems with UTM tagging or data transfer.

To compare channels

Compare the Match Rate across different ad channels. A channel with an unusually low Match Rate likely has UTM problems.

For monitoring

Track Match Rate over time. A drop may indicate a broken UTM transfer.

Maintained by the LightLead Documentation Team · Last verified: 2026-07-26