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Lead scoring and AI: prioritize who to target

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Lead scoring and AI: prioritize who to target — hero
Illustration — Lead scoring and AI: prioritize who to target — Athenous blog.

Not every lead is equally likely to convert. Lead scoring helps you rank prospects so you can focus time and ad spend on the accounts that matter most. AI can turn behavioral and firmographic signals into a score you can use for targeting and prioritization.

What to feed into the score

Combine engagement (page views, email opens, content downloads), fit (company size, industry, role), and intent (search terms, form responses). The more signals you have, the better the model. Start with a few key dimensions and add more as you learn what predicts conversion.

Using scores for paid campaigns

Upload high-scoring leads as custom audiences or lookalikes in your ad platforms. Suppress or down-weight low scorers so you’re not paying to reach people who rarely convert. Re-score periodically as behavior and data change.

Integrating with your stack

When your CRM or marketing automation tool supports it, pass scores back so sales and marketing can prioritize follow-up. Athenous and connected tools can help keep scoring rules and audience sync in one workflow.

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