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Cover image for I built 7 GTM intelligence tools on top of Claude. Here's what each one does
Alex Boissonneault
Alex Boissonneault

Posted on • Originally published at artefactventures.com

I built 7 GTM intelligence tools on top of Claude. Here's what each one does

Install first (2 minutes, no API key needed):

pip install artefact-mcp
claude mcp add artefact-mcp
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Tool 1 — Pipeline Signal Detection

What it replaces: Manually reviewing every deal in your CRM trying to spot which ones are quietly dying while looking healthy on paper.

What it does: Classifies every pipeline activity into one of 6 signal types: Momentum Shift, Stall Pattern, Conversion Anomaly, Engagement Spike, Risk Indicator, Expansion Signal.

Prompt: "Detect pipeline signals across my current deals and flag anything that needs immediate attention"

Tool 2 — Constraint Analysis

What it replaces: The expensive process of auditing every part of your revenue funnel to figure out why growth feels stuck.

What it does: Uses the Revenue Formula to identify your dominant scaling constraint — whether it's traffic volume, conversion rate, deal size, or velocity.

Prompt: "Run a constraint analysis on my revenue funnel and tell me where I should focus first"

Tool 3 — Value Engine Analysis

What it replaces: Gut-feel decisions about whether to invest in acquiring new customers, delivering better, or building new offerings.

What it does: Assesses the health of your three value engines — Growth, Fulfillment, and Innovation.

Prompt: "Analyze my value engines and tell me which one is the biggest drag on my revenue potential"

Tool 4 — ICP Triangulation

What it replaces: Static buyer personas built on firmographics that haven't been updated in two years.

What it does: Builds a dynamic Ideal Customer Profile across three dimensions: Company Attributes, Behavioral Signals, Growth Indicators. Output: a composite fit score per customer or prospect.

Prompt: "Triangulate my ICP based on my top 20% of customers by revenue and give me a fit score for my current pipeline"

Tool 5 — RFM Analysis Engine

What it replaces: Treating all customers the same — same email cadence, same discount offers, same retention effort.

What it does: Segments your customer base across 11 categories using Recency, Frequency, and Monetary value scoring.

Segment Profile Recommended action
Champions High recency, frequency and spend Reward loyalty, ask for referrals, involve in beta features
Loyal Customers Frequent, solid spend Upsell, ask for reviews, maintain engagement
At Risk Were high value, now disengaging Personalised win-back campaign — start immediately
Cannot Lose Them Large purchases, now quiet Direct personal outreach — this week
Lost Lowest scores across all dimensions Low-cost re-engagement or accept the loss

Prompt: "Run an RFM analysis on my customer base and tell me which segments need immediate action"

Tool 6 — Pipeline Health Scoring

What it replaces: The Monday morning gut-check where your sales manager looks at total pipeline value and declares it healthy.

What it does: Generates a 0-100 pipeline health score by analysing 4 dimensions: velocity, stage distribution, conversion rates, and deal aging.

Prompt: "Score my pipeline health and give me the top three actions to improve it this week"

Tool 7 — GTM Commit Drafting

What it replaces: Ad-hoc strategy changes that never get written down and can't be evaluated.

What it does: Drafts structured GTM change proposals with four mandatory fields: intent, evidence, impact surface, and rollback criteria.

Prompt: "Draft a GTM commit for shifting our outbound focus from SMBs to mid-market accounts with 50-200 employees"

A real Monday morning session

You: "Run a full pipeline analysis — health score, signal detection, and top constraint — then give me my three priorities for this week."

Claude calls Pipeline Health Scoring → score 61/100, flags velocity drop in mid-funnel

Claude calls Pipeline Signal Detection → identifies 3 stall patterns, 1 risk indicator

Claude calls Constraint Analysis → dominant constraint is conversion rate at proposal stage

Claude: "Your pipeline health is 61/100. The dominant constraint is conversion at the proposal stage. Here are your three priorities for this week..."

That analysis used to take a senior consultant half a day. Now it takes 30 seconds.

CTA: Install free in 2 minutes:
pip install artefact-mcp

Star the repo: github.com/alexboissAV/artefact-mcp-server

Pro tier (live HubSpot data): artefactventures.com/en/mcp

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