Why Data Quality Metrics Belong in Client Reports
Most agency reports focus entirely on performance metrics: impressions, clicks, conversions, ROAS. These tell the client what happened. Data quality metrics tell the client how reliable those numbers are — which is just as important.
When performance drops unexpectedly, the first question an experienced analyst asks is: "Is this a real performance change or a data quality issue?" Surfacing data quality metrics in your report lets you answer that question transparently.
Data Quality Metrics Worth Reporting
Tracking coverage rate: What percentage of sessions, events, or conversions are being accurately tracked? If 15% of sessions lack UTM parameters, your channel attribution is missing 15% of data. Report it.
Bounce rate anomalies: If email bounce rates jump from 0.5% to 4% in a single send, something changed — the list quality, the sending infrastructure, or the domain reputation. Report it before the client asks.
Sohovi validates your email list for invalid formats, duplicates, and missing fields before you send — protecting your sender reputation.
Email list health metrics: For email programs, include monthly metrics: list size, deliverability rate, bounce rate, unsubscribe rate. Trends in these metrics are leading indicators of future campaign performance.
Audience match rates: For custom audiences in paid social, include match rate in your reporting. A match rate that dropped from 65% to 40% means your audience shrank, not that the campaign became less efficient.
Conversion verification rate: Do your ad platform conversions reconcile with backend conversions? Report the ratio. A Google Ads conversion number that's 2x your actual backend conversions is a reporting integrity issue, not a performance achievement.
Framing Data Quality Issues Proactively
Lead with data quality context before performance metrics for any period where data quality affected results:
"Before we dive into performance: we identified a tracking gap this month where our Google Analytics tag was misfiring on mobile devices for 4 days (June 8–11). We estimate this affected approximately 12% of our session data. The numbers below reflect this gap and should be interpreted as minimum performance figures — actual performance was likely higher."
This framing shows analytical maturity. It answers the client's "why is this lower?" question before they ask it. And it demonstrates that the agency actively monitors data quality rather than just reporting whatever numbers the platforms provide.
Sohovi tracks quality trends across runs and alerts you when a metric — null rate, duplicate count, score — moves outside its normal range.
Building Trust Through Transparency
Counterintuitively, reporting data quality problems builds more trust than hiding them. A client who discovers a tracking gap themselves — after it wasn't mentioned in the report — loses confidence in the agency's rigor. A client who sees it proactively documented gains confidence.
The agencies that survive client scrutiny long-term are not the ones with perfect data — they're the ones who are honest about imperfections and demonstrate they're actively managing them.
