← All use cases

AI USE CASE

Lead scoring & next-best-action

Predict which leads will convert and tell reps exactly what to do next.

Minimum data maturity
intermediate
Technical prerequisite
data engineer
Industries
SaaS, Finance, Professional Services
AI type
ml classification

What it is

A model trained on historical CRM outcomes scores every inbound lead and recommends the next best action (call, email, demo, nurture).

Data you need

12+ months of CRM data with closed-won/lost outcomes.

Required systems

  • crm
  • marketing automation

Why it works

  • Show the top 3 reasons behind every score
  • Tie a quarterly bonus to working the top-scored leads first

How this goes wrong

  • Reps ignore scores because they don't trust the model
  • Score updates only weekly, too slow to act on

When NOT to do this

If you have fewer than 1000 historical leads with outcomes, the model will be noise.

Example vendors

This page describes an idea. It gives no budget or timeline: those depend on your company. The free diagnostic tells you which ideas fit your situation.