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    B2B Enterprise Account Based Marketing Toolkit

    1

    Build evidence-based enterprise ABM strategies, buying-group maps, and orchestrated sales-marketing plays.

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    B2B Enterprise Account Based Marketing Toolkit

    B2B Enterprise Account Based Marketing Toolkit

    Example session with this skill installed

    Create a Buying Group & Stakeholder Map for GlobalTech Corp based on our notes: Sarah (CTO) wants scalability, Jim (Procurement) is worried about seat costs, and we lack a Champion in DevOps.

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

    I have analyzed the provided notes for GlobalTech Corp to map the buying group. The analysis identifies key priorities for known stakeholders and highlights critical gaps in the technical evaluation layer.

    GlobalTech Corp: Buying Group Map

    RoleStakeholderKnown EvidenceBusiness PrioritiesInfluenceNext Action
    Economic BuyerSarah (CTO)Stated focus on scalability.Long-term architecture, ROI.HighDeliver Scalability POV Brief.
    ProcurementJimConcerned about seat-based costs.Budget predictability, TCO.MediumProvide tiered pricing model.
    Technical EvaluatorUNKNOWNNo current DevOps connection.Tooling integration, uptime.CriticalSDR outreach to DevOps Lead.
    ChampionUNKNOWNINSUFFICIENT EVIDENCE.User adoption, workflow.HighIdentify power user via LinkedIn.
    BlockerJim (Potential)Cost sensitivity focus.Risk mitigation.MediumShare "Total Cost of Ownership" doc.

    Evidence Summary

    • FACT: Sarah (CTO) prioritizes scalability.
    • FACT: Jim (Procurement) has expressed cost concerns.
    • INFERENCE: Jim may block if the business case does not focus on TCO.
    • UNKNOWN: Technical evaluator sentiment and Champion identity.

    Next steps

    1. Launch targeted LinkedIn outreach to identify the DevOps Lead for technical validation.
    2. Prepare the "Scale vs. Cost" executive summary for Sarah to address Jim's concerns indirectly.
    3. Review the Account Plan to address the missing Champion gap before the Q3 pipeline review.

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

    About this skill

    The Problem

    Enterprise ABM often fails because of generic messaging, misaligned sales teams, and unreliable account data. Marketing teams struggle to turn account intelligence into actionable, evidence-based execution plans.

    What It Does Analyzes supplied account evidence to prioritize target accounts by ICP fit, commercial value, and intent signals. Maps buying groups, including economic buyers, champions, and blockers, based on verified stakeholder roles. Generates multi-threaded campaign plays with specific triggers, assets, and sales handoff conditions. Builds personalization strategies focused on business relevance rather than simple name-merge tokens. Establishes measurement frameworks that track account progression and revenue influence rather than vanity metrics. Why This Beats Prompting It Yourself

    Generic prompts can produce fabricated firmographics and superficial marketing tactics. This skill enforces a strict evidence model that separates facts from assumptions, keeping account plans grounded in supplied evidence and ready for sales execution.

    Use Cases Creating comprehensive account plans for high-value enterprise prospects. Mapping complex buying committees to identify gaps in stakeholder coverage. Orchestrating targeted marketing and SDR plays around specific account triggers. Designing attribution frameworks to measure marketing's influence on enterprise pipeline. Known Limitations

    Requires specific account evidence as input. It will not invent revenue figures, technology stacks, stakeholder names, intent signals, or other account facts that are not provided in the context.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Marketing & SEO.

    Will not fabricate account facts, revenue, or stakeholder identities. Requires user-supplied evidence to generate high-confidence plans.

    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 buying a skill.

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    What's inside

    Frequently Asked Questions

    The skill helps marketing and sales teams overcome misaligned outreach and generic messaging by transforming raw account data into evidence-based ABM strategies and stakeholder maps.

    This skill requires specific account data (such as firmographics, stakeholder roles, and intent signals) provided as input; it is designed to analyze your evidence rather than invent unverified account facts.

    You will receive the specialized agent configuration, comprehensive documentation for integration, and a guide on the specific data inputs required for high-fidelity account planning.

    Yes, the toolkit is designed to be compatible with major LLMs like GPT-4 and Claude 3 Opus, provided the platform supports structured data analysis and long-context processing.

    By enforcing a strict 'evidence-over-assumption' model, the skill ensures that all generated sales plays and personalization strategies are rooted in facts rather than generic AI-hallucinated firmographics.

    Buyers receive lifetime access to the current version, including any critical logic updates or documentation improvements released by the developer to maintain performance.

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