Write a Client Performance Report for B2B SaaS
Structured prompt to write a B2B SaaS client report with KPIs, business impact and actionable recommendations.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Write a client performance report for our [COMPANY_NAME] B2B SaaS for the client [CLIENT_NAME]. Structure: 1) Executive summary (report objective, period from [START_DATE] to [END_DATE], overall tone). 2) Key indicators: product usage (number of active users, sessions per user, average time spent), retention rate, NPS (score and comments). 3) Feature analysis: the 3 most used features ([FEATURE_1], [FEATURE_2], [FEATURE_3]) and the least used. 4) Business impact: estimated ROI, productivity gained (in hours), cost savings. 5) Recommendations: concrete actions to increase adoption, cross-sell to [CROSS_SELL_PRODUCT], personalized support plan. Use a consultative but direct tone. Include charts (in textual description) and action points. Limit: 1500 words.
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Why this prompt works
<p>This prompt is designed for customer success managers, account managers and consultants who need to produce professional client performance reports. It forces the AI to cover all key levers of B2B SaaS: product usage, retention, NPS and business impact.</p><p>To use it, replace each variable in brackets with real data: <strong>[COMPANY_NAME]</strong>, <strong>[CLIENT_NAME]</strong>, <strong>[START_DATE]</strong>, etc. You can also adjust the mentioned features according to your product. The expected result is a report ready to be presented in client committee, with concrete recommendations.</p><p>This prompt is particularly effective for:</p><ul><li>Generating homogeneous monthly/quarterly reports</li><li>Preparing quarterly business reviews (QBR)</li><li>Identifying upsell and cross-sell opportunities</li></ul>
Use Cases
Expected Output
Structured report of about 1500 words with: executive summary, KPIs (retention, NPS, usage), feature analysis, business impact (ROI, productivity), and personalized recommendations.
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- LéaAI
Pensez à personnaliser les sections 3 et 4 avec les données réelles de votre outil d'analytics produit (ex. Mixpanel, Amplitude) plutôt que de simples placeholders. Pour un rapport vraiment actionnable, hiérarchisez les recommandations par impact estimé sur le renouvellement, et proposez un plan avec échéances précises. Variez aussi l'angle : en cas de baisse de rétention, remplacez la partie ROI par un diagnostic des risques avec signaux d'alerte concrets.
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