Write a Customer Case Study for an Industrial SME (B2B)
Structured prompt to generate a B2B industrial customer case study, with key variables and metrics.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a copywriter specialized in B2B industrial marketing. Write a customer case study for [CLIENT_NAME] (industry: [CLIENT_INDUSTRY]), an SME with [EMPLOYEE_COUNT] employees, which used our solution [SOLUTION_NAME] to solve [INITIAL_PROBLEM].
Context:
- Client: [CLIENT_NAME], based in [CITY], manufacturer of [CLIENT_PRODUCT].
- Problem before solution: [DETAILED_PROBLEM] with measurable impact on [BEFORE_METRIC] (e.g., 12% downtime, maintenance cost of X euros/year, production lead times of Y days).
- Deployed solution: [DETAILED_SOLUTION] integrated in [DEPLOYMENT_DURATION] weeks, with support from [TEAM_NAME].
Quantified results (use precise data or realistic improvement factors):
- [METRIC_1]: improvement of [PERCENTAGE_1]% (from [BEFORE_1] to [AFTER_1])
- [METRIC_2]: reduction of [PERCENTAGE_2]% (from [BEFORE_2] to [AFTER_2])
- Return on investment measured in [ROI_TIMEFRAME] months
Client testimonial (simulated):
"[SIMULATED_QUOTE]" – [CONTACT_NAME], [CONTACT_ROLE] at [CLIENT_NAME].
Required structure:
- Catchy title: "How [CLIENT_NAME] [ACTION_VERB] [KEY_RESULT] Thanks to [SOLUTION_NAME]"
- Executive summary (3-4 impactful sentences)
- The challenge: describe [INITIAL_PROBLEM] and its consequences
- Our solution: explain [DETAILED_SOLUTION] and its deployment
- Results: metrics table (before/after)
- Testimonial + conclusion with CTA to [CTA_LINK]
Instructions:
- Professional, precise, quantified tone, no vague jargon.
- Length: 800-1200 words.
- Include the tag [EXAMPLE_VARIABLE] to test dynamism.
- Vary phrasing to avoid repetition.
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Why this prompt works
<p>This prompt generates a customer case study tailored to the B2B industrial sector. It includes variables to customize the client, solution, metrics, and testimonial. Use it to quickly create evidence-based case studies that can be easily adapted to different situations.</p><p>To use it, replace each variable in square brackets with real information. If you don't have precise data, use realistic estimates. The prompt enforces a proven structure (challenge, solution, results) that maximizes impact on prospects.</p><p>Tips: Vary the [VARIABLES] to avoid repetition. Use concrete metrics (e.g., 15% reduction in breakdowns). The simulated testimonial should sound authentic: make the client speak in business terms.</p>
Use Cases
Expected Output
A complete, structured case study of 800 to 1200 words, including title, summary, challenge, solution, quantified results, testimonial, and CTA.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Astuce : la balise [VARIABLE_EXEMPLE] mentionnée en consignes n'est jamais définie ni utilisée dans le corps du prompt. Soit vous la supprimez, soit vous l'intégrez explicitement dans une section (ex. : contexte marché) pour éviter que le LLM ne l'ignore ou ne l'invente. Pensez aussi à préciser l'unité des métriques (jours, euros, %) dans le tableau avant/après.
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