As of 13 August 2026, AI can only partly estimate when a lead is likely to buy.

What to actually do

1. Use a tool built for this

   The route this page recommends

2. Do it yourself

   Second choice

   A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

   How to actually do it

   1. Open your CRM record for the lead and copy the company, contact role, product, deal value, sales stage, contact dates and target close date into the lead details section of the prompt.
   2. Gather the lead's relevant emails, meeting notes and call transcript excerpts, keeping dates, direct statements and agreed next steps, then paste them into the interaction history section.
   3. Add any known information about budget, decision-makers, procurement, approval steps, competing suppliers and deadlines to the buying process section.
   4. Export or collect comparable won, lost and still-open opportunities from your CRM, including their stages, dates, outcomes and sales-cycle context, and paste the useful rows into the historical sales data section.
   5. Paste the completed prompt into a chatbot and ask it to produce the buying window, confidence level, evidence, missing information and next actions in separate headings.
   6. Compare every stated fact in the response with the CRM record and source notes, remove any estimate that relies on invented or unsupported information, and mark the forecast as provisional.
   7. Use the suggested questions or actions with the lead, then update the CRM forecast only after the lead confirms a concrete next step, decision date or approval milestone.

   Prompt

   Estimate when this lead is likely to buy, using only the information below.
   
   Lead and opportunity details:
   [Paste company, role, product, deal value, sales stage, first contact date and target close date]
   
   Interaction history:
   [Paste dated emails, meeting notes, call transcript excerpts and stated next steps]
   
   Known buying process:
   [Paste information about budget, decision-makers, procurement, approval steps, competing options and any stated deadline]
   
   Relevant historical sales data:
   [Paste comparable opportunities, including starting stage, time to close, outcome and any useful similarities]
   
   Give me:
   1. A likely buying window, expressed as a date range or a clear relative period rather than a false precise date.
   2. A confidence level of low, medium or high, with a short explanation.
   3. The strongest evidence supporting the estimate.
   4. Missing information that could materially change it.
   5. Signals that the lead is likely to buy sooner, later or not at all.
   6. The next two questions or actions that would most improve the estimate.
   
   Do not invent facts, dates, intent or probabilities. Separate what the lead explicitly said from your inferences. If the evidence is too weak for a useful estimate, say so and explain why.

   Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

3. Hand it to a person

   The distant third

   A person who owns the outcome does this end to end, worth it when the failure is dear.