Lead scoring only works when marketing and sales agree on the definitions and keep reviewing them against what closes.
Lead qualification is the process of evaluating leads to determine their readiness and fit for sales engagement — using lead scoring, BANT criteria, and behavioral signals to separate sales-ready leads from those needing further nurturing. Lead qualification is essential for efficient B2B sales and marketing. effective execution uses: lead scoring (assigning points based on fit and behavior), BANT criteria (Budget, Authority, Need, Timeline), and behavioral signals (content engagement, website visits, demo requests).
From B2B Marketing & Demand Generation, volume 28 of the Marketing library. Search the free layer on the Knowledge Hub.
3 applied records from the paid layer, shown in full with their sources. They are part of a published sample of 74 of the library's 2,480 applied records; the rest are in Growth Operator and Pro.
Begin by defining MQL and SQL criteria with sales alignment; (2) implement lead scoring based on fit (firmographic) and behavior (engagement); (3) use BANT criteria for qualification; (4) nurture leads that aren't sales-ready; (5) regularly review lead quality with sales; (6) refine scoring based on feedback; (7) track conversion rates from MQL to SQL to opportunity; (8) use automation to route qualified leads to sales.
To implement the MQL workflow:
To implement the SQL workflow:
From a recorded, licensed run on 15 September 2026. The answer is quoted as the engine returned it, opening paragraphs only; each tag is the library volume a claim is cited to.
How should marketing and sales agree on lead scoring and handoff?
Marketing and sales should agree on lead scoring by defining and agreeing on a scoring model that determines when a lead is ready for sales handoff, including both explicit and implicit factors vol 54. They should establish a joint process of lead scoring alignment, ensuring that the score reflects behaviors and attributes that sales considers predictive of conversion vol 54. The scoring model should be data-driven, dynamic, and aligned with sales, using sales feedback to refine scores vol 28.
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