​

Finding: 82% Data Drop-Off

​

The Finding

From the GTM data analysis: This means for every 100 contacts we pay to enrich, only 18 reach the CRM.

​

BASELOOP

Baseloop contacts sourced (from Baseloop):

• Companies - 98.201
• Contacts (people) - 182.511

Contacts in Hubspot with attribute “Baseloop” → 32,254 (25,414 contacts have Baseloop Campaign ID) Companies in Hubspot with attribute “Baseloop” → 17,605

This means that there was a drop-off in terms of the companies and people who were a ICP/Persona fit.

​

Visual Impact

​

Cost Impact

Assuming $0.03 per contact enrichment:

​

Potential Causes

​

1. Over-Filtering in Baseloop

Filters may be too aggressive, rejecting valid leads. Questions to answer:

• What are the current filter criteria?
• Are we filtering on fields that shouldn’t disqualify?

​

2. Duplicate Detection

Records might be flagged as duplicates when they’re actually new. Questions to answer:

• What’s the duplicate matching logic?
• Are we matching on exact email only?

​

3. Sync Failures

Technical issues may prevent records from syncing. Questions to answer:

• Are there error logs?
• What’s the success/failure rate by batch?

​

4. Too-Strict ICP Criteria

The ICP filters may be rejecting valid prospects. Questions to answer:

• What’s the current ICP filter?
• Are we filtering on optional fields?

​

5. Missing Required Fields

Records without required fields may be rejected. Questions to answer:

• What fields are required for HubSpot import?
• What’s the fill rate for those fields?

​

Investigation Required

To diagnose this, we need:

​

Recommendation

​

Immediate (This Week)

1. Get Baseloop admin access — Need to see filter rules
2. Export rejected records sample — 100 records
3. Analyze rejection reasons — Categorize why

​

Short-term (30 Days)

1. Loosen filters — Start permissive, tighten later
2. Fix sync errors — Address technical failures
3. Add monitoring — Alert on drop-off spikes

​

Target State

​

Metrics to Track

​

Next