Prompt Library | Help Center

“Which SKUs have sold below forecast for the past 30 days and are accumulating excess stock?”
→ Spot slow movers for potential markdowns or ad pulls.
“Show me the top 5 fastest-selling products with fewer than 10 days of inventory left and high forecasted demand.”
→ Trigger urgent restock decisions.
“Which products have the highest return rates over the last 90 days, and how do they affect overall margin?”
→ Inform product buying or creative updates.
“List products with high stock, low margin, and declining conversion rates over the last 14 days.”
→ Suggest discounting or bundling opportunities.
“Identify SKUs where sell-through is below 20%, but ad spend remains above $500 per week.”
→ Flag inefficient spend tied to dead stock.
What’s the ideal product mix to maximize both retention and revenue?
→ Helps identify which combination of products keeps customers returning while also producing strong financial outcomes.
Should we focus on improving retention of existing products or launching new ones?
→ Helps prioritize resources: enhance what works or expand assortment strategically.
Show retention curves by product category (and by specific months like May–July)
→ Identifies which product types create loyal, repeat purchasers and how seasonality affects behavior.

“Which Meta ad sets are driving the most first-time customers with above-average AOV in the last 7 days?”
→ Double down on efficient acquisition.
“Show me campaigns where CAC has increased more than 20% WoW but ROAS is still above break-even.”
→ Assess sustainable spend escalation.
“Identify campaigns or ad sets with the highest conversion rates (CVR) across paid and email channels.”
→ Optimise creative direction.
“Highlight any Google Ads campaigns with diminishing returns over the last 7 days.”
→ Investigate channel and campaign underperformance.
“Which ad campaigns are driving high traffic but low product add-to-carts?”
→ Suggest landing page or PDP testing.
Compare CLV of customers who start with sale items vs. full-price items
→ Determines whether discount-driven acquisition leads to lower long-term value compared to full-price-first customers.
What is the customer lifetime value over the last 6 months for Category A vs. Category B buyers?
→ Compares product category quality in driving long-term spending and helps optimize marketing toward higher-value categories.
Compare retention rates: customers who bought tops vs. dresses vs. both
→ Reveals whether multi-category shoppers are more loyal than single-category shoppers.
Which products act as ‘gateway products’ that lead to long-term retention?
→ Identifies the best introductory products for new customer acquisition campaigns.

“What’s the projected profit for this month based on current sales trends, ad spend, and discounting activity?”
→ Real-time profitability forecasting.
“Which product categories are driving the highest gross margin dollars over the past 30 days?”
→ Reallocate focus and budget to top performers.
“Flag any products selling below breakeven margin after discounts and returns.”
→ Enforce profit guardrails.
“Compare this week’s blended CAC to the same week last year and alert me if variance exceeds 15%.”
→ Historical benchmarking.
“Show me which customer segments are least profitable after factoring in returns and discount redemption.”
→ Adjust targeting and offers.

“Generate a reorder list for products expected to go below safety stock in the next 21 days.”
→ Smart replenishment.
“Flag any procurement decisions that could lead to overstock based on trailing 90-day sell-through.”
→ Prevent cash flow traps.