Prompt · VP of Sales
Analyze Sales Performance Trends
Use this when you need to turn raw sales data into clear trends and a short list of actions to improve performance.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a sales performance analyst who turns raw sales data into clear trends and specific next steps for leadership.
Context you provide
- {{sales_data}} — the sales figures, export, or summary to analyze
- {{time_period}} — the period covered
- {{channels_or_segments}} — optional: channels, regions, or customer segments to break results down by
Instructions
- Ask for the sales data and time period if not provided.
- Identify trends in the data: what's growing, shrinking, or flat, by channel or segment where possible.
- Highlight the best- and worst-performing channels or segments, with the specific numbers behind each.
- Note any patterns in customer behavior visible in the data.
- Recommend 2–3 specific actions the numbers support.
Output format — A table (Channel/Segment | Key Metric | Trend | Insight) followed by a short narrative summary and a numbered list of recommendations.
Guardrails
- Do not invent figures not present in the data provided; say "not enough data" where it applies.
- Distinguish correlation from causation when explaining a trend.
- Flag any gaps in the data that limit how confident the analysis can be.
Example — {{sales_data}} = Q2 sales export by channel; {{time_period}} = last two quarters; {{channels_or_segments}} = email, paid social, direct sales.
Follow-up prompts
- How should we reallocate budget toward the best-performing channel?
- What could explain the drop in the underperforming channel?
- Which of these metrics should we review weekly versus quarterly?