How do you use Claude to write a monthly marketing report?

Quick Answer: You can use Claude to turn raw exports from GA4, SEMrush, and HubSpot into a structured monthly marketing report in under an hour. Paste your data directly into Claude, give it a clear prompt template, and it will analyse trends, write the narrative, and flag what needs attention, without you touching a spreadsheet formula.

Monthly marketing reports take too long and say too little. You pull numbers from three different tools, wrestle them into a slide deck, and end up writing the same "traffic was up 12%" sentence you wrote last month. Claude changes the workflow entirely.

This guide shows B2B SaaS marketers exactly how to use Claude to build a monthly report that pulls from GA4, SEMrush, and HubSpot, then turns that data into a coherent narrative your leadership team will actually read. No API setup required. No code. Just a repeatable prompt system you can run every month in less than an hour.

What You Need Before You Start

The approach here works with Claude's standard chat interface (Claude.ai) using copy-paste exports. You do not need Claude Code or API access, though both can extend this workflow if you want to automate it later.

Gather these exports before opening Claude:

• GA4: Export your monthly traffic summary, channel breakdown, and top landing pages as a CSV or copy the table directly from the GA4 interface
• SEMrush: Pull your monthly organic keywords report, position changes, and any competitor visibility data you track
• HubSpot: Export your contacts created, MQL volume, deal pipeline movement, and any email campaign performance from the month

You do not need every metric from every tool. Pick the 8-12 numbers that actually drive decisions in your business. More data does not produce a better report. It produces a longer one.

Step 1: Set Up Your Claude Report Template

Before you paste any data, give Claude a clear brief. This is the single most important step. Claude will match the structure and tone you define here across every section of the report.

Use this prompt to open the session:

"You are a B2B SaaS marketing analyst. I'm going to give you data exports from GA4, SEMrush, and HubSpot for [Month, Year]. Your job is to write a monthly marketing report for our leadership team. The report should: (1) open with a 3-sentence executive summary, (2) cover traffic, organic search, and pipeline in separate sections, (3) call out the single most important trend in each section, (4) end with 3 recommended actions for next month. Write in a direct, professional tone. No filler. Flag anything that looks like a problem, not just what went well."

Save this prompt. You will reuse it every month with only the date changing.

Step 2: Feed in Your GA4 Data

Copy your GA4 traffic table directly into the chat. Include sessions, users, channel grouping, bounce rate, and goal completions if you track them. Paste it as plain text or a simple table.

Then add a short context note below the data:

"Our target for this month was [X] sessions. Our primary conversion goal is demo requests. Organic and paid search are our main acquisition channels."

Claude will read the numbers, compare them against your stated targets, and identify the trend worth highlighting, whether that is a channel shift, a drop in direct traffic, or a landing page that is pulling above its weight.

What Claude produces from this step:

• A 100-150 word traffic section narrative
• A clear statement of the key movement (up, down, or sideways) with the percentage figure included
• A flag if anything looks anomalous, such as a spike in a low-intent channel or a drop in a high-converting one

Step 3: Add Your SEMrush Organic Data

Paste your SEMrush keyword position data below the GA4 section in the same chat. Include total keywords tracked, keywords moved into top 10, keywords dropped, and any competitor visibility changes you monitor.

Add this context note:

"We track [X] target keywords. Our main competitors for organic share are [Competitor A] and [Competitor B]. We publish [X] new articles per month."

Claude will connect the SEMrush data to the GA4 organic channel numbers from Step 2. This is where the narrative starts to form. If organic sessions dropped but keyword positions held, Claude will say so and explain what that likely means (a CTR issue, a SERP feature change, a seasonality factor). That kind of joined-up analysis takes a human analyst 30 minutes to write. Claude does it in seconds.

If you want a stronger benchmark for this section, compare your workflow against what specialist teams include in B2B SaaS SEO reporting and strategy.

Step 4: Paste Your HubSpot Pipeline Data

Add your HubSpot export to the same conversation thread. Include MQLs created, SQLs created, deals opened, deals closed-won, and the revenue influenced by marketing if you track it.

Context note to include:

"Our MQL target this month was [X]. Our average sales cycle is [X] weeks. Marketing-influenced pipeline target is £[X]."

With all three data sources now in the thread, Claude has what it needs to write the full report. The pipeline section will connect back to the traffic and organic data, showing whether the channel mix is producing qualified demand or just volume.

Step 5: Generate the Full Report Narrative

Once all three data sets are in the thread, send this final prompt:

"Now write the full monthly marketing report using all the data I've provided. Follow the structure from my original brief: executive summary, traffic section, organic search section, pipeline section, and three recommended actions. Where the data from different tools connects, show that connection explicitly. Keep the total report under 600 words."

The 600-word limit is deliberate. Leadership teams do not read long reports. They read short ones with clear numbers and a clear point of view.

Step 6: Refine and Standardise

Claude's first draft will be 80-90% ready. Run one refinement prompt:

"Review the report you just wrote. Check that every section has one specific number as its headline finding. Replace any vague language with precise figures from the data. If any section is missing a clear 'so what', add one sentence that states the implication."

Then copy the final output into your report template (Google Docs, Notion, or wherever your team works). The formatting takes five minutes.

Save the full prompt sequence as a Claude Project. Claude Projects let you store your brief, your context notes, and your tone instructions so you do not rebuild them each month. Open the project, paste fresh data, and run the sequence again.

What a Good Claude Marketing Report Looks Like

A well-built Claude report for a B2B SaaS business will include:

• Executive summary: Three sentences covering the month's headline number, the biggest positive, and the biggest concern
• Traffic section: Total sessions vs. target, channel breakdown, top-performing landing page, and one flag
• Organic search section: Keyword position movements, organic session trend, and connection to any content published that month
• Pipeline section: MQLs vs. target, SQL conversion rate, marketing-influenced pipeline value, and a note on deal quality if the data supports it
• Recommended actions: Three specific, prioritised actions for next month with the data rationale behind each one

The difference between a Claude report and a manually written one is not the data. It is the narrative thread. Claude connects the numbers across tools and writes the "because" behind each finding. That is what makes the report useful rather than just informative.

This kind of reporting also fits into a broader B2B SaaS digital marketing system, where traffic, organic performance, and pipeline are measured together instead of in silos.

How We Use This at SaaS Hackers

At SaaS Hackers, this workflow runs as a repeatable monthly system. The data pull takes 20 minutes. The Claude session takes 15 minutes. The refinement and formatting takes 10 minutes. Total time: under an hour for a report that previously took half a day.

The reports are shorter, more opinionated, and more likely to drive a decision in a leadership meeting than the old version.

As AI tools become a bigger part of the buyer journey, it is also worth tracking how much visibility and traffic they drive alongside your standard reporting stack. Here is our guide on how to track traffic from AI tools.

FAQs

What is the best way to use Claude for monthly marketing reports? The most effective approach is to paste data exports from GA4, SEMrush, and HubSpot into a single Claude conversation using a structured prompt template. Give Claude your targets and context alongside the raw data, then ask it to write a narrative report with an executive summary, section-by-section analysis, and recommended actions. This produces a complete report in under an hour.

Do I need Claude Code or the API to automate marketing reports? No. The workflow described here runs entirely in Claude.ai using copy-paste exports. Claude Code and the API can automate data pulling and report generation on a schedule, but they require technical setup. The manual prompt approach delivers the same quality output and is accessible to any marketer without coding skills.

How do I make sure Claude's report is accurate and not hallucinated? Paste the actual data into the conversation rather than asking Claude to recall or estimate figures. Claude generates its analysis from the data you provide. If a number looks wrong in the output, check whether it appeared in your export. Claude does not invent figures from data you have given it directly. Always do a quick sense-check pass before sending the report to leadership.

Can I use this workflow with tools other than GA4, SEMrush, and HubSpot? Yes. The same approach works with any tool that lets you export data as a table or CSV. Substitute Ahrefs for SEMrush, Salesforce for HubSpot, or Matomo for GA4. The prompt structure stays the same. Adjust your context notes to reflect the metrics and targets relevant to your specific stack.

How do I stop the report looking generic month after month? Add a "context note" at the start of each session that covers what happened in the business that month: a product launch, a campaign that ran, a competitor move, or a change in targeting. Claude will weave that context into the narrative, which is what separates a useful report from a data summary.