Your HubSpot portal has been running for a year or two. It works, mostly. But data quality is declining. Duplicate records are accumulating. Old workflows are running on outdated information. Reports don't align. Fields you created years ago are no longer used.
Without regular cleanup, your CRM becomes less valuable over time. Reports become unreliable. Automations fail on bad data. New team members are confused by the mess. Performance degrades.
A CRM cleanup resets your foundation. It removes technical debt. It fixes data quality. It prepares you for growth. It makes your CRM efficient and reliable again.
Growth exposes problems. You double your data volume. Bad data problems double. You add new team members. They're confused by messy systems. You expand to new markets. Old processes don't work. You launch new products. Your data model doesn't fit.
If you clean up before growth, new scale is manageable. If you grow first then clean up, you're cleaning up exponentially more data. Better to invest in cleanup now when data is smaller and easier to fix.
Run reports on data quality. How many contacts have missing required fields? How many duplicate records exist? How much data is outdated (not updated in 12 months)? How many records have invalid emails or phones? This baseline shows you the scope of work.
Run deduplication. Merge contacts with identical emails. Merge companies with identical names and locations. Keep the more complete record. Preserve activity history. This is tedious but essential. Bad data problem multiplies if you don't fix it now.
Contacts not updated in 12 months should be archived. Not deleted. Archived. You keep the history but remove them from active operations. Don't include them in reports. Don't include them in automations. This clears noise from your data.
Emails that don't look like emails. Phones that aren't valid phone formats. These records cause problems. Either fix them with enrichment APIs or mark them as invalid. Don't let bad data fester.
Properties you created years ago. Are they still used? Are they referenced in workflows? If not used in six months, archive them. Don't delete. Archive. This reduces clutter. New team members won't be confused by unused fields.
Do you have custom objects that aren't being used? Or custom objects that have very few records? Consider archiving them. Do you have custom objects with missing relationships? Fix the relationships.
Do you have workflows that are inactive or no longer working? Delete them or fix them. Do you have workflows that reference old properties or old objects? Update them. Clean out the dead wood.
You have "industry" on Contact and "vertical" on Company. Standardize naming. You have "start_date" on one object and "StartDate" on another. Standardize. This prevents confusion and makes integrations easier.
Document your current data model. Why does each object exist? What does each property mean? Which workflows are critical? Document this so new team members understand. Documentation prevents confusion.
Review user access. Do people still need access they have? Did someone leave and retain access? Reset to least privilege. People should have access only to what they need.
Do you have integrations that are no longer used? Disconnect them. Do you have integrations with data sync issues? Fix them. Make sure integrations are up to date and working properly.
Do you have reports that nobody uses? Archive them. Do you have reports with incorrect data? Fix them. Keep only reports that drive decisions.
Run all reports. Assess data quality. Document findings. Identify problem areas. Prioritize by impact. What's causing the most problems? Fix that first.
Merge duplicates. Archive outdated records. Fix invalid data. Remove unused properties. Delete unused workflows. This takes time depending on data volume.
Standardize naming. Update documentation. Fix relationships. Audit permissions. Verify integrations. This is where you organize everything properly.
Run reports to verify cleanup. Do numbers make sense now? Are automations working better? Test key workflows. Verify data quality has improved. Get team feedback.
Major cleanup every 1 to 2 years depending on growth rate. Monthly maintenance of data quality. Monthly review of outdated records. Quarterly review of unused properties and workflows. Think of it like maintaining a house. Daily tidying. Weekly deep cleaning. Yearly renovation. Regular maintenance prevents big problems.
Depends on size of portal and complexity. Small portals under 10,000 records with simple data model: do it in house. Larger portals with complex data model and lots of integrations: hire consultant or partner. They have tools and experience to do it efficiently. HubSpot partners like Amwhiz can do cleanup in weeks that would take your team months.
Initially yes. During deduplication and archiving, performance might be slower. But after cleanup, performance improves. Reports run faster. Automations run faster. Searches work better. The temporary slowdown is worth the long term benefit.
Archive, not delete. Deleting loses history and breaks reports that rely on historical data. Archiving preserves history but removes records from active operations. Archive old contacts. Archive unused properties. Archive inactive workflows. Keep the data but mark it as inactive.
That's common. During cleanup you often discover that your current data model doesn't fit your business model anymore. Your company evolved. Your data model needs to evolve too. Budget for architecture redesign if needed. It's easier to redesign during cleanup than to patch it later.
Implement validation rules so bad data can't enter. Require fields that matter. Set field formats. Use picklists instead of free text. Create workflows to identify and flag data problems. Run monthly quality audits. Make data quality everyone's responsibility, not just one person's.
Yes, but carefully. Merge duplicates during off hours. Archive records in batches. Test changes in sandbox first. Don't delete anything without backup. Most cleanup can happen while system is live. Just be cautious and deliberate.
Duplicate rate should drop below 2 percent. Required field completion rate should increase above 95 percent. Report accuracy should improve. Automation error rate should decrease. Time to run reports should decrease. Team should report better data quality and easier navigation. These metrics show cleanup is working.
Show them the current state. "We have 500 duplicate records." "10 percent of emails are invalid." "Half of our properties are unused." Show impact. "Bad data breaks automations." "Duplicate records confuse sales." "Unused properties slow down forms." Show the benefit. "After cleanup, reports will be accurate." "Forms will be faster." "Automations will work reliably." Get team excited about the new clean system.
HubSpot support can help answer questions about features. But they can't do cleanup for you. They can't delete records or merge duplicates. They can advise on best practices. For actual cleanup work, hire a partner or do it yourself. HubSpot partners have cleanup tools that make the work faster.
Cleanup takes effort upfront. But it pays dividends. Your CRM becomes reliable. Your data becomes trustworthy. Your team becomes efficient. Growth becomes manageable.
At Amwhiz, we're a HubSpot Diamond Solution Partner specializing in CRM cleanup and data quality optimization.
Book a HubSpot consultation with Amwhiz today. We'll audit your portal and create a cleanup plan that prepares you for growth.