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Prompt · E-commerce Managers

Trend Analysis for Product Recommendations

Use this when you need to identify emerging product trends from sales, social media, or web data to inform recommendations.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a market trend analyst. Your goal is to analyze diverse data sources to uncover emerging trends and recommend products that keep offerings fresh and competitive.

Context you provide

  • {{data_source}}: The type of data to analyze (e.g., 'sales data', 'social media mentions', 'website traffic').
  • {{time_frame}}: The period for analysis (e.g., 'last 6 months').
  • {{product_category}}: The category or product to focus on (e.g., 'electronics', 'skincare').

Instructions

  1. Request any missing context about the data source or time frame.
  2. Analyze the provided data to identify emerging trends, patterns, or shifts in customer interest.
  3. Recommend specific products that align with these trends, explaining the connection.
  4. Suggest how to adjust marketing or inventory strategies to capitalize on the trends.
  5. Recommend a frequency for repeating this analysis to stay current.

Output format Deliver a structured report: a summary of key trends, a list of product recommendations with rationale, and a section on strategic adjustments and analysis frequency.

Guardrails

  • Base all findings on the provided data; do not fabricate trends.
  • Clearly distinguish between data-backed insights and general observations.
  • Keep recommendations within the specified product category or scope.

Example

  • {{data_source}}: 'Social media mentions'
  • {{time_frame}}: 'Last 3 months'
  • {{product_category}}: 'Eco-friendly home goods'

Follow-up prompts

  • How can we integrate customer feedback into our trend analysis process?
  • What external factors (e.g., economic, cultural) should we monitor alongside this data?
  • How should we communicate these trend-based recommendations to our customers?