The Scoring Model Was Wrong And It Put The Worst Lead First

说明与用途

由于缺失数据和不恰当的评分公式，潜在客户评分系统错误地将不合格的公司排在首位，导致销售团队首先接触不合适的潜在客户。

问题

A lead scoring system misranked companies because of missing data and an inappropriate scoring formula, causing sales teams to target unqualified prospects first.

结果

The revised pipeline achieved 88% coverage of key metrics and produced a lead list that correctly prioritized companies with both high payment potential and significant problems, improving sales targeting effectiveness.

工作流

• 1. Identify target companies and required signals.
• 2. Build data collection pipeline with parallel workers, handling throttling and retries.
• 3. Sample and validate coverage for key metrics (domain age, sitemap).
• 4. Compute scores using weighted sum of ability to pay and problem severity.
• 5. Detect anomalies where one axis dominates the other.
• 6. Replace weighted sum with square root of product to enforce joint presence.
• 7. Re-rank companies and verify top list aligns with business goals.
• 8. Document findings and update pipeline for future use.

证据

Coverage went from 24 percent to 88 percent. My time estimate for that rerun was fifteen minutes. It took 179.

来源

Changing the core to the square root of the product fixed it. The same company dropped to 40 points and position 119.

来源