b2b account opportunity scorer

    1

    A data-driven account scoring tool that separates facts from assumptions to build high-confidence B2B sales briefs.

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    Works with the AI Agents you already use

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    b2b account opportunity scorer

    Example session with this skill installed

    Score this account: Acme Corp. They just hired a new VP of Sales. I found a LinkedIn post from their CEO saying they need to fix 'leaky funnels.' We sell CRM optimization for mid-market SaaS.

    • Read your context and instructions
    • Compiled the b2b account opportunity

    I have analyzed the evidence provided for Acme Corp. I have classified the data points into facts and signals, mapped them against your SaaS ICP, and identified key gaps in budget and authority.

    B2B Opportunity Brief: Acme Corp

    Account Snapshot

    • Company: Acme Corp
    • Industry: SaaS (Mid-market inferred)
    • Key Event: New VP of Sales hired (Recent)

    Evidence Matrix

    #ClaimTypeSourceCategory
    E1Hired a new VP of SalesFACTUser InputTiming Trigger
    E2CEO post: "need to fix leaky funnels"FACTLinkedInPain Point
    E3Company is mid-market SaaSASSUMPTIONContextICP Fit

    Opportunity Scores

    • ICP Fit: 7/10 (Matches industry/segment; specific seat count unknown)
    • Urgency: 8/10 (New executive hire + public CEO admission of pain)
    • Evidence Coverage: 4/10 (Low; no data on current tech stack or budget)
    • Confidence: 6/10 (Strong signals, but high reliance on CEO social sentiment)
    • Priority Tier: Tier B (High signal, but requires technical discovery)

    Buying Signals & Timing Triggers

    • New Leadership (E1): New VP of Sales usually indicates a 90-day window for tool auditing and process changes.
    • Public Pain Admission (E2): CEO explicitly identified "leaky funnels" as a priority.

    Critical Gaps

    • Current Stack: Unknown if they use a legacy CRM or no CRM.
    • Budget: No evidence of allocated spend for optimization.
    • Authority: Unclear if the new VP or the CEO owns the budget for this specific fix.

    Evidence-Grounded Outreach Angles

    The New Leader Hook: Reference the new VP of Sales hire and offer a "first 90 days" audit of their funnel integrity based on the CEO's public comments (E1, E2).
    2.

    The Leaky Funnel Fix: Direct outreach to the CEO acknowledging the "leaky funnel" priority and providing a case study on CRM optimization (E2).

    Next Research Steps

    1. Check the new VP of Sales' past roles to see which CRM they implemented previously.
    2. Search job boards for "Sales Operations" or "CRM Admin" roles to confirm current tech stack.
    3. Verify total employee count on LinkedIn to confirm mid-market ICP status.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Sales teams often waste time on leads based on gut feeling or fabricated pain points. Manual account research results in biased briefs that mistake assumptions for buying intent.

    What it does

    • Classifies every data point as FACT, SIGNAL, or ASSUMPTION to prevent sales team bias.
    • Maps evidence against your ICP to identify mismatches before outreach.
    • Calculates objective scores for Fit, Urgency, Evidence Coverage, and Confidence.
    • Identifies critical knowledge gaps in budget, authority, or timeline that require further research.
    • Generates outreach angles grounded strictly in cited evidence rather than generic templates.

    Why this beats prompting it yourself

    Generic LLM prompts often hallucinate pain points or invent budget authority to please the user. This skill enforces a strict evidence-based architecture that explicitly flags unknowns and penalizes the confidence score when you rely on assumptions.

    Use cases

    • Vetting inbound enterprise leads against a strict ICP definition.
    • Preparing account briefs for AEs before high-stakes discovery calls.
    • Auditing CRM data to identify which "Stage 1" opportunities lack actual evidence of intent.
    • Turning raw SDR research into prioritized outreach sequences.

    Known limitations

    Does not perform live web scraping. You must provide the raw text, notes, or data snippets for the analysis to occur.

    Requires manual input of raw evidence text. Does not browse the live web or social media platforms directly.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    The Scorer acts as a bias filter by categorizing data as Fact, Signal, or Assumption. It prevents sales teams from chasing leads based on 'gut feelings' by penalizing confidence scores when critical evidence is missing.

    This skill is designed to work with most text-based AI agents; you simply provide the account research or CRM notes, and the skill structures the data into a scored brief. It is ideal for use within any environment where you manage your SDR or AE workflows.

    No, this skill focuses on analyzing the data you already have. You must provide the raw text, discovery notes, or LinkedIn research snippets for the agent to process and score.

    Upon purchase, you receive the full skill logic ready for deployment in your AI agent workspace. This includes the evidence-based scoring framework and the templates for generating grounded outreach angles.

    Unlike standard prompts that might 'hallucinate' a pain point to be helpful, this skill enforces a strict evidence-based architecture. It explicitly flags unknowns and ensures that outreach recommendations are grounded solely in the facts you provide.

    New in Sales & Lead Gen