How to audit CRM data
An audit answers a simple question: how bad is it, and where? Without it, cleanup is guesswork and you cannot prove progress.
A good audit is repeatable, so you can run it again after cleanup and show quality actually improved.
Short answer
Audit CRM data by measuring five dimensions - completeness, accuracy, consistency, uniqueness, and timeliness - across your key objects. Pull counts of missing fields, duplicates, stale records, and format inconsistencies, then turn the findings into a prioritized fix list. The audit is the baseline that tells you where cleanup effort pays off most.
Step by step
Pick the objects and fields that matter
Focus the audit on contacts, accounts, leads, and deals, and on the fields that drive routing, scoring, and outreach.
Measure the five dimensions
Score completeness, accuracy, consistency, uniqueness, and timeliness for each object.
- Completeness: percent with key fields filled
- Uniqueness: duplicate rate
- Timeliness: percent with recent activity
- Consistency: percent using standard formats
Quantify the gaps
Turn each finding into a number: 22 percent of accounts have no industry, 8 percent of contacts are duplicates. Numbers make the problem concrete and prioritizable.
Build a prioritized fix list
Rank fixes by impact and effort. Missing emails that block outreach beat a rarely-used field, even if the rarely-used field is emptier.
Make it repeatable
A one-time audit tells you the state today; a repeatable audit proves cleanup worked and catches regressions. Save the queries or dashboard so you can rerun the exact same measurement next quarter and compare.
How Ardovo helps
Ardovo runs the audit continuously and shows data quality live per object and field. Rook surfaces the biggest gaps and their downstream cost, so the audit is always current rather than a report that goes stale the day after you run it.
Frequently asked questions
What should a CRM data audit measure?
Five dimensions: completeness (are key fields filled), accuracy (are values correct), consistency (are formats standard), uniqueness (duplicate rate), and timeliness (is the data current). Measure these across contacts, accounts, leads, and deals for a full picture.
How often should you audit CRM data?
Run a full audit before any major cleanup and after, then a lighter check quarterly. If your platform measures quality continuously, the audit is always live and you only need to review it periodically rather than run it from scratch.
What is the output of a data audit?
A prioritized fix list backed by numbers: which fields are most incomplete, the duplicate rate, how many records are stale, and where formats are inconsistent - ranked by downstream impact so you fix what matters first.