Without a system, data quality degrades over time. New pages launch without tracking. Filters get misconfigured. Conversion goals change. Settings drift. Your analytics starts clean but slowly becomes corrupted by neglect.
A data quality checklist prevents this. Regular maintenance catches problems before they become expensive.
Why maintenance matters
Prevents accumulation of small errors
One missing tracking tag isn't catastrophic. Two isn't either. But after a year, you've missed tracking on 20 pages. That's significant. Regular checks catch errors early.
Catches configuration drift
Someone makes a change they forgot to document. Someone else disables a filter thinking it's outdated. Settings drift from the intended configuration. Checks prevent this drift.
Maintains historical comparability
Year-over-year comparisons only work if configuration is consistent. Regular checks ensure you're measuring the same things year after year.
Monthly checklist
Compare key metrics to last month
Pull traffic, conversions, and revenue for this month vs. last month. Are changes explainable by business activity (campaigns, seasonality)? Or do they signal tracking problems?
Check for unexplained spikes or drops
Traffic up 30% with no campaign launch? Conversions down 20% without site changes? Investigate. Unexplained changes often indicate tracking errors.
Verify bot filtering is enabled
Check that bot filtering is still on. Check that known bot filters haven't been disabled. Confirm settings match last month.
Scan for new referral spam
Review referral sources. Any new domains that look suspicious? Add them to the blocklist.
Check conversion goal reporting
Are all conversion goals firing? Do conversion counts match your payment processor (approximately)? Large gaps suggest tracking is broken.
Verify internal traffic is excluded
If you filter internal traffic, spot-check that it's working. Generate test traffic from your office and confirm it doesn't appear in reports.
Quarterly checklist
Full configuration audit
Review all active filters. Why does each exist? Is it still needed? Disable any filters that have become unnecessary.
Verify tracking on all pages
Spot-check your site. Pick 10 random pages and verify tracking code is present. Check page source directly.
Compare analytics to payment processor
Pull conversion counts from both systems for the quarter. Calculate variance. Document the expected difference.
Review and update documentation
Update the document describing your analytics setup. Document any changes made since last quarter. Ensure new team members could understand the setup.
Audit conversion goal definitions
Are all goals still accurate? Have any changed? Update definitions if needed. Document why each goal exists.
Check for new data quality issues
Have you launched new features? New traffic sources? Verify tracking is in place. Test each new channel.
Annual checklist
Complete setup audit
Do everything in the quarterly checklist, but more thoroughly. Review every setting. Check every page. Audit every conversion.
Year-over-year comparison
Compare this year to last year. Are metrics comparable? If configuration changed, note how comparison is affected.
Identify systemic improvements
What tracking problems did you fix this year? What could you improve next year? Plan improvements based on this year's learnings.
Team training
Train your team on data quality. How to spot problems. How to report issues. How to avoid introducing errors.
Tool review
Are you using the right tools? Should you upgrade? Add new tools? Review tooling annually to stay current.
Creating your checklist
Customize for your business
These checklists are templates. Customize for your specific setup. Add checks specific to your data sources. Remove irrelevant items.
Make it a calendar event
Set recurring calendar reminders. Monthly checklist first Friday of the month. Quarterly checklist first day of each quarter. Annual checklist December 1st.
Assign responsibility
Assign someone to own the checklist. This person runs the checks, documents findings, and reports results to the team.
Document results
Keep records of what you checked and what you found. Over time, this creates a history of data quality and helps you spot trends.
Frequently asked questions
Can I automate the data quality checklist?
Partially. You can automate metric comparisons using BI tools. But manual inspection (checking pages for tracking code, reviewing filters, auditing configuration) requires human judgment. With WEMASY's website builder, you can set this up directly on your website.
What if I find a problem during a checklist?
Document it. Assess impact. Fix if it's affecting current data. If it's historical, document and adjust your interpretation of old reports.
How long does a full checklist take?
Monthly: 30 minutes. Quarterly: 2-3 hours. Annual: 4-6 hours. Plan for focused time with no interruptions.
What should I do if I'm too busy for monthly checklists?
Do quarterly instead. Monthly is ideal but quarterly maintenance is better than nothing. Set a realistic schedule you'll actually follow.
Should I involve other team members in the checklist?
Yes. Different perspectives catch different problems. Have developers check tracking code. Have marketing check conversion goals. Have finance check revenue numbers.
Can a checklist prevent all data quality issues?
No. But it catches 80-90% of common problems. Regular maintenance isn't foolproof, but it's far better than reactive problem-solving.