Score prospects based on work history and tailor personalized messaging

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This template uses a person's professional profile data, Claygent's research, and Google's Gemini LLM's reasoning capabilities to score people for outreach. It then uses additional logic to tailor the value-prop in the message for each prospect.

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Maîtrisez Clay en quelques leçons clés. Enrichissez vos données, créez de meilleurs messages Outbound et décrochez plus de rendez-vous.

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providers
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use cases
Claygent
Qualification et classification
Rédaction IA
Personnalisation par IA
Enrichissement
Scoring et Signal
roles
Sales
author
Jason Lew