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MQL volume reports cover for quality drift. A Lead Quality Scoring Playbook reads fit signals (ICP match, persona, company size) and intent signals (content engagement, request pattern, response rate) to score each lead at handoff so sales prioritizes by likely conversion.
The Challenge
Marketing teams get measured on MQL volume. The easy path to volume is to lower the scoring threshold and pass more leads. The leads convert at lower rates; the funnel inflates with low-quality MQLs; sales burns time chasing leads that were never going to convert.
A typical lead score blends fit (ICP match, persona, company size) with intent (content engagement, request pattern) into one number. The blended score hides which signal is driving the result. A high-fit-no-intent lead and a no-fit-high-intent lead receive the same score and the same routing.
Without ongoing correlation between lead score and actual close rate, the scoring model decays. The weights that worked 12 months ago no longer reflect current buyer behavior. The team continues to score on stale logic and outcomes drift further.
How eyko Solves It
A Lead Quality Scoring Playbook reads fit signals (ICP match, persona, company size, technographic data) and intent signals (content engagement depth, request pattern, response rate, channel-touch sequence) separately, scores each, and combines them into a routing recommendation that reflects both dimensions. It surfaces high-fit-high-intent leads for fast sales follow-up and routes high-fit-low-intent leads to nurture rather than burning sales time.
The Playbook scored 14,200 leads from the past 90 days. 1,840 high-fit-high-intent (fast-track to sales, projected close rate 24%). 3,640 high-fit-low-intent (route to nurture, projected close rate 4% if rushed to sales). 2,140 no-fit-high-intent (light-touch nurture, projected close rate 6%). 6,580 no-fit-low-intent (low-priority, projected close rate <1%). Routing changes project a 42% lift in sales-pipeline conversion and 28% reduction in sales follow-up time.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Lead Quality Scoring reads fit signals (ICP match, persona, company size, technographic data) and intent signals (content engagement depth, request pattern, response rate, channel-touch sequence) separately, scores each, and combines them into a routing recommendation that reflects both dimensions. The Playbook surfaces high-fit-high-intent leads for fast sales follow-up and routes high-fit-low-intent leads to nurture rather than burning sales time.
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FAQ
Everything you need to know about Lead Quality Score.
Lead Quality Scoring is an AI-driven score on every lead that separates fit (ICP match, persona, company size, technographic data) from intent (content engagement depth, request pattern, response rate, channel-touch sequence). The Playbook combines the two into a routing recommendation that reflects both dimensions, surfacing high-fit-high-intent leads for fast sales follow-up and routing high-fit-low-intent leads to nurture.
The Playbook reads from your CRM (lead records, account context, historical close outcomes), marketing automation (content engagement, channel touches), enrichment data (firmographic, technographic), and behavioral data (response rate, request pattern). At least 12 months of paired lead-and-close data anchors the scoring.
Existing MQL scoring typically blends fit and intent into a single number with weights that decay over time. Lead Quality Scoring separates fit from intent and scores each independently using current signal weights. The routing recommendation reflects both dimensions, so high-fit-low-intent leads get nurtured rather than rushed to sales (where they convert poorly).
Yes. For each lead the Playbook recommends fast-track, nurture, light-touch, or low-priority routing based on the fit-and-intent combination. Fast-track routing comes with the contributing intent-pattern data so sales follow-up opens with context. Nurture routing comes with content recommendations tuned to lift the intent score.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
