Trade Show Lead Scorecard

    1

    Qualify and rank trade show leads using BANT scoring and automated fit ratings for sales prioritization.

    Free

    0 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    I have 5 leads from the Canton Fair for our dashcam line. 2 are high-volume resellers from Malaysia with immediate needs, 3 are small shops from the Philippines just looking for catalogs.

    Your agent does

    | Lead | Market | B | A | N | T | Fit | Next | Owner | |---|---|---|---|---|---|---|---|---| | Reseller A | MY | 3 | 3 | 3 | 3 | Hot | Call + Sample | Sarah | | Shop B | PH | 1 | 1 | 2 | 1 | Cold | Catalog Email | Mark | Rule: Hot >=10, Warm 7-9, Cold <7.

    About this skill

    The problem

    Exhibitors often return from trade shows with a disorganized stack of business cards and no clear priority. Sales teams waste time calling every lead instead of focusing on the high-value buyers ready to close.

    What it does

    • Generates a BANT-based scorecard (Budget, Authority, Need, Timing) for every contact.
    • Calculates a Fit Rating of Hot, Warm, or Cold based on weighted conversation data.
    • Assigns concrete Next Actions like sample kits or catalog drops for each lead.
    • Produces a clean Markdown table for easy export to CRMs or shared spreadsheets.
    • Establishes ownership and follow-up deadlines to prevent lead decay.

    Why this beats prompting it yourself

    This skill enforces a specific scoring logic where authority and timing are weighted against budget to prevent false positives. It standardizes lead triage across your entire booth team so every representative uses the same qualification criteria.

    Use cases

    • Ranking dealer vs. reseller leads after a major sourcing fair.
    • Qualifying auto-accessory distributors at an electronics expo.
    • Triaging B2B contacts collected during a product launch event.
    • Standardizing follow-up tasks for a multi-person sales team.

    Known limitations

    Scores are subjective estimates based on booth conversation notes rather than verified financial data. The output is English by default unless a language override is requested.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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