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Enterprise AI

Predictive lead scoring

Using AI to estimate which potential customers are most likely to buy.

Example

A sales team reviews leads ranked by a conversion prediction.

Why people use it

It helps sales teams decide which potential customers to contact first.

What you'll hear

“These leads look more likely to become customers.”

What this means for you

Use scores as prioritization support and monitor which prospects are overlooked.

Can you control it?

Developer-only

The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.

Common questions

Does a high score mean a lead will buy?
No. It is an estimate based on past patterns, not a promise.
Will it work well for a brand-new market?
Not necessarily. Customers in a new market may behave differently from those used to teach it.
Can the score become outdated?
Yes. A person's interest or circumstances can change after the information behind the score was collected.

Related terms

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