By skyforbes 
Struggling to make sense of your marketing data?
What if ChatGPT could accelerate the analysis for you?
Here are 10 prompts that will help you with marketing analytics.
Customer Segmentation Analysis
I’m [mention the problem you’re facing in detail with background context]. Act as a marketing data analyst. I will provide customer demographic data, behavioral data, and purchase history. Analyze this dataset to segment the audience into clear groups using clustering logic (demographics, psychographics, and buying behavior). For each segment, describe its size, characteristics, pain points, and purchase drivers. Then recommend tailored messaging strategies and marketing channels for each segment. Finally, create a summary table with columns: Segment Name, Key Traits, Pain Points, Best Channels, Suggested Campaign Angle. I want you to [mention how you want the output in detail with examples].
Campaign Performance Deep Dive
I’m [mention the problem you’re facing in detail with background context]. I will provide campaign performance metrics (impressions, clicks, CTR, conversions, CAC, ROI) from multiple channels such as Google Ads, Meta Ads, and Email. Analyze the performance and identify which channels and campaigns are underperforming or overperforming. Highlight reasons behind the trends, including creative quality, targeting, timing, or budget allocation. Then recommend 3 high-impact optimizations per channel. Present final insights in a table with: Channel, Campaign, Current Metric Snapshot, Issue Identified, Recommended Action. I want you to [mention how you want the output in detail with examples].
Marketing Funnel Breakdown
I’m [mention the problem you’re facing in detail with background context]. Take this funnel data (top-of-funnel impressions, leads generated, SQLs, opportunities, and conversions). Identify where the biggest drop-offs are occurring. Calculate conversion rates at each stage, benchmark against industry averages, and highlight bottlenecks. Recommend tactical fixes for each bottleneck (e.g., improving lead nurturing emails, optimizing landing pages, adjusting qualification criteria). Summarize results in a funnel visualization and a table with columns: Funnel Stage, Conversion Rate, Drop-off %, Possible Causes, Recommended Fix. I want you to [mention how you want the output in detail with examples].
Competitive Market Benchmarking
I’m [mention the problem you’re facing in detail with background context]. Act as a competitive intelligence analyst. Using my competitor data (ad spend estimates, share of voice, engagement rates, organic reach, and pricing strategy), benchmark my brand’s performance against top 3 competitors. Identify where competitors outperform us and where we hold the edge. Suggest 5 unique opportunities where we can differentiate based on gaps in their strategy. Provide insights in a table with: Competitor, Metric Compared, Their Strength, Their Weakness, Recommended Action for Us. I want you to [mention how you want the output in detail with examples].
Customer Lifetime Value (CLV) Analysis
I’m [mention the problem you’re facing in detail with background context]. Given data on average order value, purchase frequency, and retention rates, calculate the Customer Lifetime Value (CLV) across different customer cohorts. Compare CLV by acquisition channel and identify which channels bring in high-value vs low-value customers. Recommend adjustments in acquisition spend based on these insights. Present findings in a table with: Channel, Avg AOV, Avg Frequency, Retention %, CLV, Recommendation. I want you to [mention how you want the output in detail with examples].
Attribution Model Evaluation
I’m [mention the problem you’re facing in detail with background context]. Using multi-channel attribution data (touchpoints like paid ads, email, social, SEO), compare different attribution models (first-touch, last-touch, linear, time decay). Show how ROI, CAC, and conversion credit allocation changes under each model. Highlight which model is most appropriate for our business based on buying cycle length and customer behavior. End with a recommendation on which model to adopt and why. Present results in a table with: Attribution Model, Conversion Credit Distribution, Pros, Cons, Final Suitability Score. I want you to [mention how you want the output in detail with examples].
Pricing Sensitivity & Revenue Impact
I’m [mention the problem you’re facing in detail with background context]. Act as a marketing strategist. Using data on price elasticity, competitor pricing, and historical sales volume, analyze how different price adjustments (±10%, ±20%) would affect revenue, profit margin, and market share. Provide scenario-based insights: best-case, base-case, and worst-case. Recommend optimal pricing for maximizing revenue without losing competitive advantage. Present results in a table with: Price Scenario, Projected Sales Volume, Revenue, Profit Margin, Market Risk, Recommendation. I want you to [mention how you want the output in detail with examples].
Channel ROI Forecasting
I’m [mention the problem you’re facing in detail with background context]. Given past performance data across marketing channels (CPC, CTR, CPM, conversion rates, and ROI), build a forecast for the next quarter assuming constant budget allocation vs reallocated budget (favoring high ROI channels). Show projected pipeline, revenue impact, and efficiency gains under both scenarios. Conclude with a recommendation on how to rebalance spend. Present results in a table with: Channel, Current ROI, Forecasted ROI (Status Quo), Forecasted ROI (Reallocation), Final Recommendation.
Sentiment & Brand Perception Analysis
I’m [mention the problem you’re facing in detail with background context]. Using social listening or review data (positive, negative, neutral mentions; recurring themes; sentiment score), conduct a sentiment analysis to understand overall brand perception. Identify top 3 positive brand associations and top 3 negative pain points. Recommend communication strategies to amplify the positives and mitigate the negatives. Present results in a table with: Sentiment Category, % Share, Key Themes, Action Plan. I want you to [mention how you want the output in detail with examples].
Marketing Experiment Design (A/B Testing)
I’m [mention the problem you’re facing in detail with background context]. Act as a marketing experiment designer. I will provide details of a campaign (goal, audience, channel, budget). Design a rigorous A/B test with hypothesis, control group, variable group(s), sample size calculation, success metrics, and expected duration. Predict possible outcomes and provide guidance on how to interpret results statistically. Present results in a table with: Hypothesis, Control Group Setup, Variation Setup, Sample Size Required, Success Metrics, Expected Learning. I want you to [mention how you want the output in detail with examples].
To get the best outputs, use these prompts on ChatGPT 5 in auto mode.
I hope you’ve found at least one helpful ChatGPT prompt here.
Have a great day!