The Claude Code GTM Toolkit

At The Demand Department, we built $4.2M in pipeline across 4 agencies using a 3-person team. Claude Code is how we scale without hiring.

These 5 workflows handle the repetitive GTM tasks that eat 10-15 hours per week. Copy them. Modify them. Make them yours.

What it does: Takes your LinkedIn connections export and scores every contact against your ICP criteria.

Setup:

1. Go to LinkedIn → Settings → Get a copy of your data → Select "Connections"

2. Download the CSV (you'll get it within 24 hours)

3. Feed it to Claude Code with this prompt:

Prompt:

Read this LinkedIn connections CSV. Score each contact 1-10 based on these ICP criteria:

- B2B founder or C-suite at a company doing $50K-$500K/mo revenue

- In one of these industries: [your industries]

- Based in US or UK

- Has been connected for more than 30 days (warm connection)

- Bonus: has engaged with my content (if data available)

Output a ranked CSV with columns: Name, Company, Title, Score, Reasoning, Suggested Outreach Angle.

Only include scores 7+.

Expected outcome: A ranked list of your highest-potential connections. The top 50-200 become your warm outreach list. We typically find 15-30% of a founder's network is untapped ICP.

What it does: After every sales call, extracts objections, pain points, buying signals, and follow-up actions.

Setup:

1. Use Fathom, Otter, or any transcription tool for your calls

2. Export the transcript

3. Feed it to Claude Code:

Prompt:

Analyze this sales call transcript. Extract:

1. PAIN POINTS: What specific problems did the prospect mention? Quote their exact words.

2. OBJECTIONS: What concerns or hesitations did they raise?

3. BUYING SIGNALS: What indicated they might be ready to buy? (budget mentioned, timeline discussed, asked about pricing, compared to alternatives)

4. FOLLOW-UP ACTIONS: What did we promise to do? What should we send them?

5. NEXT STEP: When should we follow up and what should we say?

6. ICP SCORE: Rate this prospect 1-10 based on fit and intent.

Format as a structured brief I can reference before the next call.

Expected outcome: A 1-page call brief that captures everything. No more forgetting what was discussed. No more missed follow-ups.

What it does: Generates personalized cold email first lines based on real business context — not fake AI personalization.

Setup:

1. Prepare a CSV with prospect data (name, company, LinkedIn URL, any context)

2. Feed to Claude Code:

Prompt:

For each prospect in this list, write a personalized first line for a cold email.

Rules:

My company: [your company + what you do]

My ICP: [your target]

Output: CSV with Name, Company, First Line, Signal Used

Expected outcome: 50+ personalized first lines in minutes. Each one references a real business observation. No "email cosplay."

What it does: Reads your pipeline data and tells you who to follow up with, when, and what to say.

Setup:

1. Export your pipeline as a CSV (columns: name, company, stage, last contact date, notes)

2. Feed to Claude Code:

Prompt:

Read this pipeline CSV. For each lead, recommend:

1. FOLLOW-UP PRIORITY: High / Medium / Low

2. TIMING: Follow up today / this week / next week / in 2 weeks

3. MESSAGE: A specific follow-up message based on their stage and last interaction

4. CHANNEL: Email, LinkedIn DM, or phone

Rules:

Output as a daily action list sorted by priority.

Expected outcome: A daily action list. No more guessing who to contact. No more leads falling through the cracks.

What it does: Generates a complete pipeline report from your data — new leads, stage changes, calls booked, revenue forecast.

Setup:

1. Keep your pipeline in a CSV or spreadsheet

2. Run this weekly (Monday morning):

Prompt:

Generate a weekly pipeline report from this data.

Include:

1. PIPELINE SUMMARY: Total leads by stage, total pipeline value

2. THIS WEEK'S ACTIVITY: New leads added, stage changes, calls booked, proposals sent

3. WINS & LOSSES: Deals won, deals lost (with reasons if available)

4. FOLLOW-UP QUEUE: Leads that need attention this week

5. FORECAST: Expected revenue for next 30/60/90 days based on pipeline stages and historical close rates

6. KEY INSIGHT: One observation or pattern worth noting

Format as a clean report I can share with my team or post in Slack.

Expected outcome: A full pipeline report in 60 seconds. No more spending an hour Monday morning manually compiling data.

1. Install Claude Code (claude.ai/code)

2. Start with Workflow 1 — score your LinkedIn network

3. Add Workflow 4 — automate your follow-ups

4. Layer in the rest as you get comfortable

These workflows compound. The more data you feed Claude Code, the smarter your pipeline becomes.

We build done-for-you pipeline systems for B2B founders. 4 channels. Same AI-powered approach. You just take the calls.

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