Most Popular Sherpa Prompts by Role

“Show me where our conversion rate is dropping in the funnel over the last 30 days.”
→ To diagnose friction points on-site and unlock revenue.

“Which products or categories contributed the most profit last week vs the same week last year?”
→ To understand commercial trading health.

“What was our contribution margin % by day last week?”
→ To keep daily trading profitable.

“What SKUs drove the highest incremental revenue during the last promotion?”
→ To inform future promotion design.

“Which payment/shipping methods are linked to the highest abandonment?”
→ To reduce checkout drop-off.

“What is our blended CAC vs contribution margin across all channels this month?”
→ To balance growth spend with profit.

“Which digital channel is driving the most new customers with the highest 60-day LTV?”
→ To guide channel allocation.

“Show me which campaigns are profitable after factoring in discounts + CAC.”
→ To prevent over-discounted unprofitable growth.

“What was our MER (marketing efficiency ratio) trend by week this quarter?”
→ To track macro efficiency of spend.

“Which creatives are driving the best payback period on ad spend?”
→ To scale what works faster.

“What products have high traffic but low conversion on-site this week?”
→ To fix underperforming PDPs or pricing.

“Show me which bundles or upsells are adding the most incremental AOV in the last 14 days.”
→ To optimise for higher basket size.

“Which landing pages have the highest bounce rates and lowest conversion?”
→ To prioritise CRO fixes.

“What is the sell-through rate of products merchandised on the homepage vs not?”
→ To measure homepage impact.

“Which products are being abandoned in cart most often?”
→ To inform recovery flows or repositioning.

“Which products are at risk of selling out in the next 21 days based on sales velocity?”
→ To manage replenishment.

“What are our top products driving high return rates or margin erosion?”
→ To improve buy and quality control.

“Which SKUs are stuck as dead stock over 90 days old?”
→ To plan markdowns or bundles.

“What are the top products that ads are driving traffic to but inventory is constrained?”
→ To flag wasted spend and prevent oversell.

“Which categories are trending upwards in sales vs last quarter?”
→ To adjust open-to-buy plans.

“Which customer cohorts have the highest repeat purchase rate in the last 90 days?”
→ To design targeted retention.

“What automated flow generated the most profit last month relative to send volume?”
→ To optimise lifecycle flows.

“Which segments are most discount-sensitive vs full-price buyers?”
→ To personalise offers and protect margin.

“What % of our sales last month came from email/SMS vs paid channels?”
→ To measure CRM’s contribution to revenue.

“Which products are most commonly purchased on second order?”
→ To design win-back and replenishment campaigns.