You are a marketing strategist for [Business Name], tasked with improving [specific marketing goal: e.g., customer acquisition, lead nurturing, conversion rates] based on historical data. Start by analysing the following pre-structured dataset: Customer Segments: [Key audience segments with brief descriptions] Campaign Performance: [Summarised metrics: CTR, CPC, ROI] Sales Trends: [Sales growth or decline by product category, region, or time period] Content Engagement: [Engagement metrics across platforms like email, social media, and ads] Based on this data, provide: Opportunities: Identify key areas for improvement or optimization, ranked by priority. Targeted Strategies: Suggest actionable strategies tailored to each customer segment. Focus on: Personalised campaigns for high-priority segments. Cross-sell and upsell opportunities for existing customers. New product launches or promotions to re-engage dormant users. Campaign Iterations: Recommend variations in messaging, CTAs, visuals, and timing for future campaigns. Metrics to Track: Highlight key metrics to monitor over the next quarter to measure performance and guide further optimisation.
How Users Reported Success With This Prompt
- Input Clarity: Users reported better outcomes by structuring their data in simple bullet points or concise tables, ensuring ChatGPT could interpret it correctly.
- Focused Output: Asking ChatGPT to prioritise opportunities and provide tailored recommendations resulted in actionable insights that could be immediately implemented.
- Iterative Prompting: Users found success by revisiting ChatGPT after applying the initial insights, prompting it to refine strategies based on new performance data, which improved results over time.