How to create useful paid lead disqualification reasons

01

Define decisions before labels

A qualified inquiry meets the criteria your team has agreed for the offer. A disqualified inquiry has evidence that a required criterion is not met. An inquiry you could not reach has an unknown qualification outcome. Do not classify it as unqualified simply because no one answered.

Choose a short list tied to actual decisions: outside service area, service not offered, duplicate, invalid contact detail, or confirmed request outside the offer's scope. Add 'other' with a note and an 'unknown or not yet assessed' status. Keep timing and budget as separate fields if they affect prioritization but do not always make someone ineligible.

Write a definition and example for each code, including who can set it and what evidence is required. Avoid collecting sensitive information that is not needed for the decision. Check contact permissions, suppression and the recipient's jurisdiction before any further outreach.

02

Try the codes on real records

Hypothetically, a team reviews 50 paid-inquiry records: 15 meet its agreed criteria, 10 are outside the service area, 5 seek an unoffered service, 5 are duplicate records, and 15 have not been assessed because contact was not made. The 15 known offer mismatches are 30% of all 50 records; the five duplicate records are a separate data-quality category. The qualification outcome is unknown for the last 15. Treating them as disqualified would overstate the known mismatch.

Have two reviewers independently code a small sample using the same definitions. Compare disagreements with the original request and conversation notes, then clarify the rules. If the salesperson cannot tell why the record was rejected, return it to 'unknown' until there is evidence. Keep duplicate records separate from people who are simply not ready to purchase.

Record the campaign, arrival date, attempt, outcome and reason with each distinct inquiry. Retain an audit trail when a reason changes, for example when an initial service mismatch turns out to be a misunderstanding.

03

Choose a repair and monitor it

If many confirmed mismatches concern geography, compare the ad's location settings and landing page with the requested locations. If people seek a different service, examine the words and promises they saw. If most records are unknown, fix response coverage or data capture before making an audience decision. These are hypotheses to investigate, not automatic causes.

Compare later cohorts after the same qualification window using the same definitions. Show inquiry volume, unknown outcomes, confirmed fit and sales as well as ad spend. A higher qualification percentage achieved by excluding a large useful audience may not improve the business result.