01

Create one shared definition of quality

Marketing and sales should agree on what makes an enquiry relevant for the specific project. Useful signals may include configuration, budget context, purchase purpose, location preference, timeline and willingness to speak.

Do not label every early researcher as poor quality. Use stages that distinguish incomplete, unreachable, nurture-ready and sales-ready enquiries.

  • Minimum project fit
  • Contactability and consent
  • Buyer stage and next action
02

Capture qualification data consistently

Use the same fields and status options across forms, call notes and CRM records. Free-text notes remain valuable, but standard fields make patterns measurable.

Avoid collecting sensitive or unnecessary information. Every question should help route the enquiry, tailor follow-up or improve campaign learning.

  • Configuration and budget bands
  • End-use or investment purpose
  • Timeline and financing context
03

Build a practical scoring and routing model

A score can prioritise follow-up, but it should not replace judgement. Weight strong fit and explicit actions more heavily than weak behavioural signals such as one page view.

Route high-intent prospects promptly, nurture longer-term buyers with useful information and suppress clear mismatches from repetitive outreach.

  • Fit, intent and engagement components
  • Priority and nurture routes
  • Documented disqualification reasons
04

Return outcomes to campaigns

Review lead statuses by campaign, audience, search term and creative every week. Platforms learn from the conversions they receive, so raw form submissions can reinforce the wrong behaviour.

Where appropriate, use privacy-conscious offline conversion feedback for qualified stages. Keep a human review because CRM labels can be incomplete or inconsistent.

  • Qualified-lead rate by source
  • Stage progression and visit intent
  • Sales feedback quality control
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