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account-based-marketing-review

account-based-marketing-review

github.com/sylphxaiMarketing & growth135 installsUpdated today
Repository

About account-based-marketing-review

account-based-marketing-review is a skill for turning account-based marketing questions into plans and operational artifacts. It covers targeting, personalization, sales handoff, measurement, privacy constraints, and recovery paths.

Key features

  1. 01Classify ABM program types
  2. 02Define account selection and signal thresholds
  3. 03Plan personalization and channel mix
  4. 04Specify sales handoff and suppression rules
  5. 05Produce plans, decision tables, and checklists

Use cases

  1. 01Design a target-account program for a buying committee
  2. 02Set qualification thresholds for intent signals
  3. 03Coordinate marketing campaigns with sales follow-up
  4. 04Measure pipeline influence while separating sourced revenue

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sylphxai/skills --skill account-based-marketing-review

After installing, type/account-based-marketing-reviewin Claude Code to confirm it loaded.

Bundled filesagents/openai.yamlreferences/account-based-marketing-patterns.md

Details

From the project README

Account Based Marketing Review

Use this skill to convert account-based marketing, target account, intent signal, personalization, sales alignment, and pipeline-influence questions into a concrete artifact with owners, gates, metrics, and recovery paths.

Workflow

  1. Identify ICP, account tiering, target account source, buying committee, strategic trigger, message wedge, sales owner, channels, privacy constraints, and pipeline goal.
  2. Read references/account-based-marketing-patterns.md.
  3. Classify the motion as one-to-one strategic account, one-to-few segment cluster, one-to-many programmatic ABM, expansion ABM, partner ABM, or reactivation ABM.
  4. Define account selection, signal thresholds, personalized offer, channel plan, sales/SDR handoff, suppression rules, measurement model, and learning loop.
  5. Produce ABM plan, state machine, decision table, event schema, campaign checklist, and account action plan.

When not to use

  • Do not use for generic advice the base model already handles without this skill's specific artifact contract.

Guardrails

  • Do not call ordinary lead-gen ABM unless account selection, buying committee, personalization, and sales action are explicit.
  • Do not personalize with sensitive or creepy signals; respect privacy, consent, and regional marketing rules.
  • Do not claim sourced revenue from ABM without separating influence, sourced pipeline, sales activity, and existing momentum.
  • Do not target accounts sales cannot follow up or customer success cannot support.

Output format

ABM context:
Audience / source of truth / risk boundary:

Account program plan:
| Area | Decision | Evidence | Risk | Owner |
| --- | --- | --- | --- | --- |

Targeting, personalization, sales actions, and measurement:
- <trigger> -> <policy, metric, edge case, support note>

Comments

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