Qualification Scoring Framework (Delivery)

Qualification Scoring Framework (Delivery)

1. 01

   Define the client's ideal customer profile in measurable terms

   Translate the client's verbal description into firmographic, technographic, and behavioral criteria that can be scored objectively, such as employee count, industry, or recent hiring activity.

2. 02

   Assign weighted scores to each criterion based on historical win data

   Use the client's CRM or past campaign results to weight criteria by their correlation with closed deals. For example, a prospect with a specific job title might score 30 points, while company size contributes 20.

3. 03

   Set a minimum threshold for a 'sales-ready' lead

   Agree with the client on a cutoff score that triggers handoff to their sales team. This prevents wasting time on low-fit prospects and aligns both parties on what constitutes a qualified lead.

4. 04

   Map scoring inputs to the fields exported by the lead generation tool

   Verify that the tool's data fields, such as those from AnyBiz or Leadinfo, cover all scoring criteria. If a criterion is missing, plan to enrich it via an additional data source or manual research.

5. 05

   Automate the scoring calculation in your CRM or spreadsheet

   Build a formula or use a native scoring feature to compute the total score for each lead as it enters the pipeline. This reduces manual effort and ensures consistency across the team.

6. 06

   Document the scoring logic in a client-facing deliverable

   Create a one-page reference that explains the criteria, weights, and threshold. This transparency builds trust and allows the client to provide feedback on the scoring model.

7. 07

   Review and recalibrate the scoring model quarterly

   Compare scored leads against actual conversion outcomes and adjust weights or thresholds as needed. This keeps the model aligned with changing market conditions and client goals.