Is Your Team Chasing the Best Opportunities? Know for Sure.

Watch Rafael take real CRM data, call transcripts, and company news for 25 accounts and turn them into a ranked priority list — with scores, evidence, and suggested next actions.

Watch the Walkthrough

What this guide covers

  • Why commercial teams struggle to prioritize the right existing accounts
  • How AI can combine structured and unstructured data
  • What a lightweight DIY workflow could look like using GPT or Gemini
  • What the ranked output table should include
  • Where the manual version breaks and what a more connected internal workflow could become

Opportunity Prioritization Starter Kit

Get the companion asset for this guide and try a lightweight version of the workflow yourself.

What's inside

  • Master prompt
  • External research prompt
  • Data prep checklist
  • Results review worksheet
  • Example output table

Ready to get started?

Key takeaway

A strong first AI use case is often a decision problem where the answer is spread across multiple systems. AI becomes useful when it helps combine scattered signals into a practical next step.

What the output could look like

AccountOpportunity ScorePriority TierWhy It's InterestingInternal EvidenceExternal SignalSuggested Next Action
Grandview Hotel Group87Tier 1Multiple properties expanding, mentions of new location in call notes3 service calls in 60 days, upsell mentionedRecent hiring posts for facility managersSchedule expansion review call
State University System74Tier 2Contract renewal approaching, historical growth pattern20% YoY spend increase, positive NPSNew campus construction announced last quarterPrepare bundled renewal proposal
First Regional Bank68Tier 2Using only one product line, clear cross-sell opportunityHigh satisfaction scores, quick payment historyNew CFO hired, budget planning underwaySend cross-sell case study

Example data shown. Actual output will be based on your CRM data and configured signals.

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