Marketing reports with Claude: one analysis, three formats
Marketing reports with Claude: comparing Markdown, Word and PDF, and what a plain chat can actually produce.
By Educasium

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You have run Market-Audit, maybe Market-Proposal, and now have several analyses to turn into one presentable marketing report — for a client, for your own management, or for yourself before a budget decision. The question that follows is not only "what goes in this report" but "which file should it become": plain text reviewed in ten minutes, a Word file the recipient can annotate, or a PDF with charts ready to project in a meeting.
The three formats — Markdown, Word and PDF — share the same analysis base: the same scores, the same findings, the same action plan. What changes is the final file and, depending on where you work, the real ability to produce it. This article covers that shared base, compares the three formats without overselling any of them, and states plainly what Claude can actually deliver in a plain conversation versus Claude Code.
Table of contents
- Why combine your analyses into a single marketing report
- Markdown, Word or PDF: which format to choose
- What changes depending on where you work
- Preparing your marketing report step by step
- What this pack does not guarantee
- Training to deliver a reliable marketing report
- Frequently asked questions
Why combine your analyses into a single marketing report
A marketing report exists to turn several separate analyses — page, SEO, brand, competitors — into one coherent read: an overall score, findings sorted by category, and a dated action plan. Without that step, each analysis stays an isolated document the recipient must reconcile alone, which dilutes its impact and delays the decision it was meant to inform.
What a marketing report must connect to be usable
A useful synthesis connects three things: each category's score, the evidence backing it, and the actions that follow, ranked by priority. A report that shows scores without matching evidence, or that lists actions detached from the finding that prompted them, stays unreadable to anyone who did not follow the original analyses. Our guide to combining analysis and evidence in a marketing audit details how to build that traceability before the format question even arises; our guide to connecting diagnosis, deliverables and price in a commercial proposal shows the same principle applied to a sales document instead of an audit.
Why one analysis base and three format skill pages
The Markdown report, the Word report and the PDF report are not three different studies: they are three possible outputs of the same synthesis. Nobody searches "PDF report vs Word report" — the real question is "how do I produce a marketing report" and "which file suits my use case." That is why this article covers the shared method once, while each skill page below details its own technical prerequisites and its own output file.
Markdown, Word or PDF: which format to choose
Markdown suits a quick internal review or version-control tracking; Word suits a document the recipient needs to edit, comment on or translate; PDF suits a final, read-only presentation with charts. The choice depends on the file's intended use, not an aesthetic preference for one of the three.
The dedicated page for each format — Markdown report generator, Word report generator and PDF report generator — covers the setup and steps specific to each. The table below compares the three on the criteria that should actually drive your choice.
| Criterion | Markdown (.md) | Word (.docx) | |
|---|---|---|---|
| Best use | Quick internal review, version-control tracking, working draft | A document the recipient must edit, comment on or translate | Final, read-only presentation with charts and score gauges |
| What it takes to produce | No extra tooling: structured text | A Python script using the python-docx library | The bundled script plus the ReportLab library |
| Available in a plain Claude.ai, ChatGPT or Gemini conversation? | Yes, as structured text you copy yourself | No — only the content as text, never a real .docx file | No — only the content as text, never a real PDF file |
| Available in Claude Code? | Yes | Yes, if Python and python-docx are installed | Yes, if Python and ReportLab are installed |
What each format genuinely adds
Markdown stays the fastest format to produce and fix: no layout to break, a simple copy-paste moves it from one tool to another. Word adds professional formatting — a cover page, styled tables, headings — while staying editable, which matters when an agency needs to adapt the document to its own branding before sending it to the end client. PDF adds charts and score gauges that neither Markdown nor Word produce automatically, at the cost of becoming a fixed format, fixed by regenerating the file rather than editing it directly.
A choice about the recipient, not aesthetics
Ask who will open the file next rather than which format "looks more serious." An internal report your own team reviews does not need a PDF with charts; a client who has to present the document to a leadership committee needs more than a plain text file. The best-chosen format is the one that avoids an extra round trip to reformat the document after delivery.
What changes depending on where you work
The Markdown format is produced identically everywhere, because it is structured text Claude can write directly in the conversation, with no external dependency. The Word and PDF formats, by contrast, depend on a script run locally — python-docx for one, ReportLab for the other — a capability that only an environment like Claude Code genuinely provides. That difference decides whether the expected file actually exists at the end of the exchange, not just what the displayed result looks like.
Claude Code: all three formats are genuinely available
In a Claude Code project, with Python installed alongside python-docx or ReportLab depending on the target file, the pack can read the analyses already present in the project folder, run the matching script, and produce a real .docx or .pdf file, ready to open in Word or a PDF reader. It is the only environment where all three skill pages work without adaptation.
A plain Claude.ai, ChatGPT or Gemini conversation: Markdown only
In a chat with no terminal or Python interpreter, the Markdown report remains fully producible: Claude gathers the same information you would have fed the script, then formats it as structured text you copy and keep yourself. The Word and PDF pages, however, cannot produce a real .docx or PDF file in that setting — their own instructions say so explicitly: pasted into a chat with no execution environment, they only get partway; the writing part still works, but anything depending on the bundled script does not produce the expected file. Good practice is to say that plainly once, then deliver the same content as Markdown rather than implying a binary file was generated when it was not.
Fictional example: you ask for the PDF report in a plain Claude.ai conversation. The correct reply opens with something like "the PDF format is not available here; here is the same content as Markdown," followed by the full report as structured text — never a message that claims a PDF was generated, and never a file merely renamed .pdf without the actual formatting.
Preparing your marketing report step by step
Step 1: Gather the analyses that actually exist. Collect the files produced by the audit skills already run (page, SEO, brand, competitors, content) rather than starting from a theoretical list of sections; their real names may differ from what the pack expects, so state them explicitly.
Step 2: Check the scores and flag what was not analyzed. A category with no analysis stays unknown and must be presented that way, never scored zero by default. Fictional example: if the page and SEO analyses exist but no email data was collected, the report presents those two analyses and marks the third as missing, rather than showing an invented email score that would make the chart look complete while being misleading.
Step 3: Choose the format based on the recipient, not the other way around. Decide who will open the file and what they need to do with it — read, edit, present — before picking the format, using the comparison table above rather than habit.
Step 4: Generate the file in an environment that can actually do it. For a genuine Word or PDF file, use Claude Code with Python and the required library installed; if you are working in a plain conversation, ask for the Markdown version and say so if another format was originally wanted.
Step 5: Review before any distribution. Check that the displayed scores match the source analyses, that undocumented sections stay flagged as such, and that the file you received actually matches the promised format — a check that stays the same whatever format was chosen.
What this pack does not guarantee
The pack never turns an unanalyzed category into a numeric score, does not generate a real Word or PDF file outside an environment able to run Python, and does not itself verify the accuracy of the analyses it synthesizes: it organizes what it is given, it does not check it.
What stays your responsibility
Comparing the report's figures against the source analyses, checking that no section blends real data with an estimate without saying so, and confirming that the file's recipient matches the chosen format all remain human checks, however careful the automatic formatting was.
The most frequent mistake: confusing format portability with content reliability
In the conversations we have with business owners about this pack, the most frequent confusion is not picking the wrong format — it is assuming that producing the report in one tool rather than another changes how reliable its content is. It never does: whether the file comes from Claude Code, a plain conversation or an API integration, the same scores must rest on the same evidence, and the same review remains necessary before any sending.
Training to deliver a reliable marketing report
Knowing how to tell a genuinely analyzed category apart from an estimate, and choosing the format suited to a recipient rather than to habit, is learned through real cases rather than theory. Educasium's Master Claude training devotes modules to producing marketing deliverables with AI, for profiles who have never opened a terminal before. For a business owner or a self-employed professional under the relevant scheme, the FIFPL covers part of the cost of a Qualiopi-certified training under the 2026 criteria set at €300/day and €900/year, with e-learning capped at 50% of the daily rate.
Frequently asked questions
Can I get a real PDF or Word file directly in a plain Claude.ai conversation?
No: in a chat with no terminal or Python interpreter, Claude can write the report's full content but cannot run the python-docx or ReportLab script that actually produces the binary file. Good practice is to say so clearly once, then deliver the same content as Markdown for you to copy, rather than implying a file was generated. If you need the binary file no matter what, plan to switch to Claude Code rather than accepting a file merely renamed .docx or .pdf without the actual formatting.
Is the Markdown report enough for a client, or should I always move to Word or PDF?
It depends on what the client needs to do with it, not on a general rule. A client who only wants to read the findings and the recommended action is well served by a clean, structured Markdown file; a client who needs to edit the document, translate it or present it in a meeting needs the matching Word or PDF file, produced in Claude Code. When in doubt, ask the client directly rather than guessing their intended use from the project type alone.
What should I do if a category could not be analyzed before writing the report?
Flag it explicitly as not analyzed rather than assigning it a default score: an invented score, however cautious, is more misleading than a clearly stated gap. A report can perfectly well present five complete categories and a sixth marked as pending data without hurting its credibility — if anything, the opposite. That pending section should stay visible in the final report itself, not just be mentioned verbally when presenting it.
Do I need to run all three skills separately to get all three formats?
No: the three pages share the same method for collecting inputs and calculating scores, described once in this article. What changes between the three is only the final file-generation step — structured text for one, a python-docx script for another, a ReportLab script for the third — not the upstream analysis work. Rerunning a skill by mistake breaks nothing, but simply requires resupplying the same source analyses, adding no new information.
A well-built marketing report connects verified analyses to a dated action plan, in the format its recipient can genuinely use — never implying a binary file exists when only text was produced. That is the role of the three skill pages presented here, to be chosen based on your recipient and your working environment rather than habit.
Training 100% fundable via OPCO/FIFPL. Qualiopi-certified programme. To produce your marketing reports with AI as part of our Master Claude training, contact Educasium and specify your status (employee, self-employed, business owner) and your goal.