CLAUDE CODE FOR MARKETING

How to use Claude Code for marketing

Most marketers meet Claude Code the same way: a clever one-off prompt, a good result, a closed tab, and nothing kept. Learning how to use Claude Code for marketing means moving past that. Claude Code is Anthropic's agentic terminal tool. It reads your files, runs commands, connects to your stack, and writes real assets you keep. The shift that pays off is the move from renting prompts to building systems. A prompt helps you once. A system you build in a repo runs every week, on every campaign, without you retyping a thing. This guide is a practical take on Claude Code for marketing: what you need before you start, the setup, your first skill, the workflows worth building, and the one boring task to tackle first. By the end you will know the setup and your first three builds. You will not need to write code. If you can use a computer and explain a problem clearly, you can build with Claude Code and own what you ship. For the wider case on why marketers are picking this up, start with the Claude Code for marketers primer.

What Do You Need Before You Start?

Less than you would guess. Four things get you building: a Claude plan, a terminal, a brand-context file, and (optional) connections to the marketing tools you already run. None of it needs an engineer or a setup weekend.

  • A Claude plan. Claude Code runs on a paid Claude plan from Anthropic. Claude Pro covers individual marketers getting started; heavier daily use fits the Max plan. Check current plans on Anthropic's pricing page.
  • A terminal. This is the command-line window already on your computer (Terminal on Mac, PowerShell or Windows Terminal on Windows). You type plain English into it, not code.
  • A project folder. One folder on your computer where your marketing work lives. Claude Code reads and writes files here, so your systems stay in one place you control.
  • A brand-context file. A short markdown file describing your product, audience, voice, and rules. This is what turns generic output into copy that sounds like you.
  • Optional tool connections. Through Model Context Protocol (MCP), Claude Code can talk to GA4, Google Ads, HubSpot, and Slack, so it works with live data instead of pasted screenshots.

The brand-context file does more work than its size suggests. A few lines on who you sell to, how you sound, the claims you can and cannot make, and the words you avoid is enough to move output from generic to recognizably yours. You will edit it as you go, and every system you build reads from it, so one good file raises the quality of everything downstream.

You can start with the first two on the list and add the rest as you go. The brand file and the tool connections make the output sharper, and you can build them up over your first week without blocking your first build.

How Do You Set Up Claude Code for Marketing Work?

Setup takes about fifteen minutes. Here is the path from nothing to a working first system.

  • 1. Install Claude Code. Follow the install steps in Anthropic's Claude Code documentation. It runs from your terminal with one command, then signs in with your Claude account.
  • 2. Point it at a project folder. Make a folder for your marketing work, open your terminal in it, and start Claude Code there. Everything it builds lands in this folder, which becomes your repo.
  • 3. Give it brand and product context. Create a file named CLAUDE.md in the folder. Put your product description, audience, positioning, voice rules, and the words you avoid in it. Claude Code reads this on every run, so your output stays on brand without re-explaining yourself.
  • 4. Write your first skill. Add a short markdown file describing one repeatable task, like building campaign URLs or drafting a meta description. Now that instruction is saved and reusable instead of retyped.
  • 5. Run a real task. Ask it to do something small and specific from your actual work, check the output, and refine the context file. Each pass makes the next one better.

Running a real task is where the setup clicks. Pick something from your actual week, a campaign URL you need or a product description that has to match brand, and ask for it in plain English. Read the output the way you would read a junior teammate's first draft, note what missed, and add that note to your context file or skill. Two or three passes and the system produces work you would ship without edits.

Most marketers pile too much into the first setup. A two-line brand file and one working skill beat a sprawling config you never finish. Start small, run something real, and grow the repo from there.

What Are the Best Claude Code Marketing Workflows?

The best workflows share a shape: a repetitive task, a clear input, and an output you would otherwise produce by hand. Five earn their keep fast, and each maps to one of the systems marketers build in the CC4M workshop.

Ad copy from a spreadsheet. Hand Claude Code a CSV of your products or past ads with their click-through rates, plus the character limits for each placement. It drafts on-spec headline and description variations for every row, flags the underperformers, and writes them back to a new file. Two hundred rows to fifty test-ready variations in minutes. This is the ground the Automated Ad Generation module covers.

Landing pages from a prompt. Describe the offer, the audience, and the page sections you want, and Claude Code drafts the full page copy in your brand voice, structured and ready to hand to design or drop into your site. Point it at an existing page first so it matches your patterns. The Content Engine module builds this into a repeatable system.

Content and style checking. Save your style rules in a skill (banned words, voice, formatting), then run any draft through it. Claude Code reads the whole piece and flags every place it drifts off voice, the way a sharp editor would, before anything ships. The open claude-seo and marketing skill libraries are good starting material, and the Claude Code for SEO workflow goes deeper on the search side.

Reporting automation. Connect GA4 or Google Ads through MCP, and Claude Code pulls the numbers, writes the weekly summary, and flags what moved, in the format your team reads. The monthly report becomes a command you run. Operators who wire this up report cutting a multi-hour pull to minutes; your read on what the numbers mean stays yours.

Brand-mention tracking. Give Claude Code a list of sources or connect a search tool, and it scans for mentions of your brand or competitors, summarizes the sentiment, and drops a digest in Slack. Build it once and it runs on a schedule. The research-and-personalize muscle behind the AI SDR and Outbound module is the same one driving this.

WorkflowWhat you feed itWhat you keepCC4M module
Ad copy generationA CSV of ads or products with metrics and placement limitsOn-spec variations written to a fileAutomated Ad Generation
Landing pagesAn offer, an audience, and the sections you wantFull page copy in your brand voiceContent Engine
Content and style checkingA draft plus your style rules saved as a skillAn edited draft flagged for voice driftContent Engine
Reporting automationA live GA4 or Google Ads connectionA weekly summary posted to SlackConnects across modules
Brand-mention trackingA source list or a connected search toolA scheduled sentiment digestAI SDR and Outbound

Each of these drafts fast and at volume. The judgment stays with you: which three ad variations to test, whether the landing page actually lands, what a dip in the numbers means for next quarter. Claude Code does the production work so you spend your hours on the calls only a marketer can make. That division of labor is the point. You set the strategy and the taste, and the system handles the parts that used to eat your afternoons.

What Is a Claude Code Skill, and How Do You Build One?

A skill is a markdown file of saved instructions for one task. Write it once, and Claude Code follows it every time instead of waiting for you to re-explain. That is the difference between a system you own and a prompt you keep retyping.

A good prompt you typed last Tuesday is gone. A skill sits in your repo, improves as you edit it, and works the same on Monday as it did the first time. Your whole team can run the same skill and get consistent output, which is how brand voice survives more than one person writing copy.

A simple skill has three parts: a name and a description of what it does and when to use it, the steps or rules to follow, and an example of good input and output. A UTM-building skill might name itself utm-builder, describe itself as a tool to generate campaign URLs to your naming convention, list the parameter rules, and show one finished URL as the pattern to match.

The example matters more than the rules. Show Claude Code one output you would be happy to ship, and it has a target to match. A meta-description skill that includes two strong examples produces tighter drafts than one with a page of instructions and no sample. Write the rules you need, then anchor them with the best example you have on hand.

You do not have to write every skill from scratch. Open-source libraries give you free material to adapt: coreyhaines31/marketingskills collects copywriting, positioning, and conversion skills, and the claude-seo project packages SEO workflows. Treat them as starting points, edit them to your brand, and own the result.

One honest aside: most marketers overbuild their first skill, packing in rules for cases that never come up. Start with the plain version of one task and add only what you actually hit. The skill gets better by living in your repo, not by being perfect on day one.

How Do You Connect Claude Code to Your Marketing Tools?

Through Model Context Protocol (MCP), an open standard for connecting AI tools to live data. With MCP set up, Claude Code reads from and writes to GA4, Google Ads, HubSpot, and Slack directly, so it works with your real numbers rather than pasted screenshots.

Without a connection, you copy data in and copy output out by hand. With one, the loop closes. Ask for last week's campaign performance and Claude Code pulls it from GA4, writes the summary, and posts it to Slack in one run. Ask for ad variations and it can read the live account constraints instead of guessing them.

MCP is documented openly at modelcontextprotocol.io, and a growing list of marketing tools ship official connectors. Start with one connection that maps to a report you run often. That single link usually pays for the setup in the first week.

A concrete example: connect Slack and GA4, and a single skill can read your campaign numbers, draft the Monday update in your team voice, and post it to your reporting channel before you sit down. You wrote the skill once and connected two tools once. The report now runs itself, and you spend your time reading the takeaways instead of assembling them.

Connections need credentials and care. Give Claude Code access the way you would give it to a new hire: scoped to what the task needs, and reviewed before anything posts publicly. The trust you build into the setup is what lets you run it unattended later.

What Should You Build First?

Start with one boring task you already do every week. Something small, repetitive, and clearly scoped beats an ambitious system you abandon halfway.

The common miss is starting big: a full content engine or an outbound machine on day one. The win is picking a task you do on autopilot, building the system that does it, and feeling the compounding. Once one runs, the next is easier, and your repo turns into marketing infrastructure you own.

Campaign URL building is the ideal first system, which is why the UTM Builder is where the CC4M workshop starts. Everyone needs consistent, governed UTM parameters, the rules are clear, and the payoff is immediate: no more broken tracking from a typo in a source field. You build it once, and every campaign URL after that follows the convention automatically. See what you will build for the full set, or browse the GTM tactics menu for more starting points.

Claude Code for Marketers (CC4M) is a live workshop where marketers build go-to-market systems in their own repo and keep them. It is taught by Hank Taylor and Mitchell Wright, operators who have built GTM at GitLab, Vercel, Laravel, Neo4j, and ClickHouse. In one hands-on session you build four working systems: a UTM Builder, a Content Engine, an AI SDR and Outbound flow, and Automated Ad Generation. No coding required; if you can explain a problem clearly, you can build with Claude Code. See the full agenda and the next cohort on the CC4M workshop page.

Questions

Frequently asked

Build your first marketing system in a live session

CC4M is a hands-on workshop where you build four go-to-market systems in your own repo and walk out owning them. Taught by operators who ran GTM at GitLab, Vercel, Laravel, Neo4j, and ClickHouse.

Keep reading