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quarterly-database-cleanup

quarterly-database-cleanup

github.com/tomgranotMarketing & growth7836 installsUpdated 2w ago
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About quarterly-database-cleanup

A structured skill for quarterly HubSpot database audits, intended for teams responsible for data quality and marketing operations. It reviews lists, bounces, data completeness, scoring, engagement, and properties, then produces a report for comparison.

Key features

  1. 01Audit list health
  2. 02Measure bounces and missing data
  3. 03Review lead scores and engagement
  4. 04Find unused custom properties
  5. 05Generate quarter-over-quarter reports
  6. 06Read-only audit process

Use cases

  1. 01Check HubSpot data drift quarterly
  2. 02Compare current and prior-quarter metrics
  3. 03Identify lists and properties to clean up

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill quarterly-database-cleanup

After installing, type/quarterly-database-cleanupin Claude Code to confirm it loaded.

Details

From the project README

Quarterly Database Cleanup

A structured quarterly audit that catches data drift before it becomes a crisis. Run this at the start of each quarter (or monthly if the database is large or fast-growing).

Prerequisites

  • A HubSpot private app access token (HUBSPOT_ACCESS_TOKEN in .env)
  • Python 3.10+ with uv
  • Previous quarter's report (for trend comparison) — optional on first run

Audit Checklist

1. List Health
  • Count total active lists, static lists, and unused lists (zero members)
  • Identify lists not referenced by any workflow or email
  • Flag duplicate or overlapping lists
2. Bounce Monitoring
  • Count contacts with 1, 2, and 3+ bounces
  • Hard bounce rate vs. previous quarter
  • Review contacts flagged by bounce monitoring workflow
3. Data Quality
  • Missing email, company, industry, country, lifecycle stage
  • Compare percentages to previous quarter
  • Flag any property completeness that dropped more than 5%
4. Scoring Calibration
  • Review lead score distribution (histogram)
  • Check MQL conversion rate — are high-scoring leads actually converting?
  • Adjust scoring model if conversion rate is below 10% or above 50%
5. Engagement Metrics
  • Active contacts (engagement in last 90 days) as % of total
  • Zombie contacts (no engagement in 6+ months) as % of total
  • Email open rate and click rate trends
6. Property Cleanup
  • Custom properties with zero populated records
  • Properties not used in any list, workflow, or form
  • Test/temp properties that should be archived

Step-by-Step Instructions

Stage 1: Before — Gather Baselines
  1. Locate the previous quarter's report (if it exists) in reports/.
  2. Run /hubspot-audit to get fresh numbers across all dimensions.
Stage 2: Execute — Deep Review

For each checklist item above:

  1. Pull current metrics via the HubSpot API (reuse audit script patterns).
  2. Compare to the previous quarter's numbers.
  3. Flag any metric that worsened by more than 5 percentage points.
  4. Document specific contacts, lists, or properties that need action.
Stage 3: After — Generate Report

Save a report to reports/quarterly-cleanup-{YYYY-Q#}.md with this structure:

# Quarterly Database Health Report — YYYY Q#

## Summary

| Metric | Last Quarter | This Quarter | Change |
|--------|-------------|-------------|--------|
| Total contacts | XX,XXX | XX,XXX | +X% |
| Data completeness | XX% | XX% | +X% |
| Bounce rate | X.X% | X.X% | -X% |
| Zombie contacts | XX% | XX% | -X% |
| Unused lists | XX | XX | -XX |

## Action Items

1. [item with owner and deadline]
2. ...

## Detailed Findings

[One section per checklist item with metrics and recommendations]
Stage 4: Rollback

This is a read-only audit — no rollback needed. Action items from the report are executed separately through their respective skills.

Scheduling

  • Set a recurring calendar reminder for the first Monday of each quarter.
  • Assign an owner for each action item in the report.
  • Review the previous quarter's action items for completion before starting the new audit.

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