Lead scoring

01why it matters for a business

For a company generating a steady flow of leads, response speed and attention are limited. Scoring decides who gets a call right away and who gets an automated email. Done well, it raises conversion without adding headcount. Done badly, it hides good leads behind arbitrary point totals nobody has checked against real outcomes.

AI improves scoring in two ways. Predictive models find patterns in historical conversions that hand-built rules miss. And language models can read free-text form answers, emails, and call notes to judge intent, budget, and fit, signals a point system cannot use. Either way, scoring depends on the CRM recording outcomes reliably, and scores should be checked against what actually happened.

02what it looks like in practice

A B2B services company receives inbound leads from ads, its website, and referrals. Its old scoring gave points for job title and email opens. The new approach uses a model trained on its CRM's history of won and lost deals, plus a language model that reads each lead's free-text description of the project and budget. High scores route to a senior rep immediately; low scores go to a nurture sequence. Each month the team compares scores with actual conversions and retrains when they drift. Qualified outcomes also feed the ad platforms through a conversions API.

03common mistakes

• Point systems nobody validated against actual closed deals.
• Training a model on CRM data where outcomes were recorded inconsistently.
• Letting scores hide leads entirely. A low score should change the path, not delete the lead.
• Never re-checking the model as markets, offers, and channels change.

04related terms

• Customer relationship management (CRM)A customer relationship management (CRM) system is the software a company uses to track its relationships with customers and prospects: contacts, companies, deals, communications, support history, and pipeline stages.
• Conversions APIA conversions API is a server-to-server connection that sends conversion events, such as leads, purchases, or qualified opportunities, from your own systems directly to an advertising platform, instead of relying only on a browser pixel.
• Data warehouseA data warehouse is a central database designed for analysis and reporting, where data from many operational systems, such as ERP, CRM, billing, and marketing platforms, is collected, cleaned, and organized so it can be queried together.
• Workflow automationWorkflow automation is the use of software to carry out the steps of a business process, such as moving data between systems, routing approvals, sending notifications, and updating records, without a person doing each step by hand.
• Answer engine optimization (AEO)Answer engine optimization (AEO) is the practice of structuring a website's content so AI assistants and answer features, such as ChatGPT, Perplexity, Google's AI Overviews, and voice assistants, can find it, understand it, and use it in direct answers.

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