Using audit data to prioritize cleanup

Getting the audit data is the easy part. Turning it into action is where most teams get stuck. Here's a practical framework for using HubDeck results to drive a real cleanup project.

Step 1: Triage by Impact

Not all data issues are equal. Prioritize in this order:

1. Issues that break automation (Highest priority) — Missing emails, missing lifecycle stages. These cause silent failures in your workflows right now.
2. Issues that corrupt reporting (High priority) — Missing close dates, missing deal amounts. These make your pipeline and forecast meaningless.
3. Issues that degrade enrichment (Medium priority) — Missing company domains. Important for long-term data quality but less immediately disruptive.
4. Issues that create noise (Lower priority) — Stale deals, companies with no deals. Clean up, but don't let it block the higher-priority work.

Step 2: Estimate the Effort

Use the record count from HubDeck to estimate cleanup time:

• Under 100 records: Manual review and update by the owning rep or admin. 1–3 hours.
• 100–1,000 records: Bulk approach via CSV export + HubSpot import. Half a day.
• 1,000+ records: Requires a tool or data partner for enrichment, plus an import strategy. Plan for a week-long project.

Step 3: Assign Ownership

Data quality has to have an owner. For each issue category:

• Contact issues → Marketing Ops or CRM Admin
• Deal issues → Sales Ops or the owning rep's manager
• Company issues → RevOps or CRM Admin

Step 4: Set a Target and Re-Audit

Define what "done" looks like before you start. "We want to get our missing email count below 100" is a target. "Clean up the data" is not. Set the target, do the work, then re-run HubDeck to measure the improvement. Your health grade should go up. If it doesn't, the cleanup isn't done — or new data is coming in dirty.