Glossary

Buying Temperature

Definition

Buying temperature is a measure of how ready a prospect is to make a purchase decision. It ranges from cold (just browsing) to hot (ready to buy now). AI tracks buying temperature through conversation signals like engagement speed, question depth, objection type, and emotional language. The AI adapts its approach based on temperature, pushing when hot and nurturing when cold.

How it applies in DMs

Two prospects on the same afternoon. One asks how soon she could start. The other asks how the whole thing works. The first gets two times and a link. The second gets two more questions and a story about someone in her spot. Reading that gap right is most of the job. Quick replies, specific questions, and talk about starting all mean hot. Long gaps and vague words mean slow down. Pushing a cold thread is how a warm lead turns into a block.

Questions

How does AI measure buying temperature?

Through multiple signals: response speed, question specificity, emotional language, objection types, and engagement patterns. A prospect asking 'when can I start?' is hotter than one asking 'how does it work?'

What should happen when buying temperature is high?

Move toward the close quickly. Present the next step clearly. Don't keep qualifying someone who's ready to buy. The AI recognizes high temperature and accelerates the close sequence.

Can buying temperature change during a conversation?

Absolutely. Temperature can spike with a great social proof story or drop with a poorly handled objection. The AI monitors temperature continuously and adjusts its approach in real time.

See buying temperature in a real thread.

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