A lead-quality rubric helps sales and marketing apply the same definition. It should describe observable fit, not reward whichever campaign produced the lead.
Score only what the team can verify
Use four factors, each marked yes / no / unknown rather than a false-precision total:
- Need: did the person ask about a service the business offers?
- Coverage: can the business serve the stated location or market?
- Readiness: is there a real next step or timeframe stated by the person?
- Contactability: can the team respond through the channel the person chose?
Keep “unknown” separate from “no.” A missing budget field is not evidence that the request is poor. Avoid sensitive or protected characteristics and do not infer intent from a name, dialect, or device.
Calibrate with a shared sample
Have sales and marketing independently classify the same anonymized set of inquiries. Compare disagreements and rewrite ambiguous criteria. Define what qualifies for sales follow-up, what needs clarification, and what falls outside service scope. Include an escalation route for complaints or safety issues.
Then compare lead stages by channel using the same time window: submitted, contacted, qualified, appointment, completed outcome. Platform-reported leads may not match the team’s records. If a channel has a long response delay, fix the handoff before labeling its leads low quality.
Review the rubric when offer scope or market coverage changes. Keep it short enough that the team will apply it, and record the reason for each exclusion so the data can improve targeting without turning into an opaque score.
Optional AI-assisted work brief — Sales-applied lead rubric
Create observable criteria for fit, need, timing, serviceability, and next step. For each score, show an example and counterexample sales can classify consistently. Include “unknown” and disqualification reasons; do not reward missing information as low intent. Trial the rubric on a small de-identified sample, compare reviewers, and revise ambiguous criteria before reporting channel quality.
Worked example — Calibrate two reviewers
Give two sales reviewers the same ten de-identified inquiries and ask them to score fit, need, timing, and serviceability independently. Compare disagreements by criterion, not just the total. If one reviewer calls missing budget “unqualified” and another calls it “unknown,” refine the rubric and add an example. Repeat calibration before comparing channels or changing bidding targets.
AI disclosure: AI tools assisted with drafting. The rubric is illustrative and should be adapted to verified service criteria.