Best prompts for ChatGPT Marketing for sales emails using sales trend analysis

Analyze the following sales trend data: {{sales_trend_data}} (CSV, table, or bullet list). Identify the single strongest positive trend (product/segment/timeframe). Produce 5 distinct subject lines tailored to that trend, each with a 35–60 character preview text and a one-line rationale connecting the subject to the trend. Include recommended send window (day and time) based on last 3 months of open-rate trends if available.

Given this sales trend data: {{sales_trend_data}} (include % change, timeframe, top customer segments, and inventory status), write a 150–220 word promotional sales email. Include: subject line, preview text, personalization tokens ({{first_name}}, {{recent_purchase}}), a clear value-driven opening tied to the trend, two benefit bullets, a single CTA, a recommended discount (if appropriate), and one tracking metric to measure success.

Analyze the decline in sales from this data: {{sales_trend_data}} (include cohorts, churn timing, and last purchase categories). Produce a win-back email for the most at-risk cohort: subject line, preview text, 120–160 word body that acknowledges their lapse, offers a tailored incentive, includes social proof, and a 1-sentence A/B test idea for subject or offer.

Inspect the following customer-level trend slices: {{sales_trend_data}} (include purchase frequency, LTV buckets, and frequently paired items). Write a short personalized upsell email (90–140 words) for customers whose purchase frequency is increasing, promoting a complementary product. Include subject, preview, dynamic personalization placeholders, one benefit bullet, and recommended cross-sell SKU with suggested discount or bundle.

Given localized sales trends: {{sales_trend_data}} (region-level % change, top ZIPs, city-specific bestsellers), craft a region-specific marketing email for the top city. Include subject line with city mention, 140–200 word body with localized messaging, a local testimonial, and suggested send day/time for that timezone.

Using this trend summary: {{sales_trend_data}} (spike date, visitor uplift, cart adds vs purchases), produce a 3-email sequence. For each email include subject, preview, 60–120 word body, timing after spike (e.g., 24h, 72h, 7d), primary CTA, and one tracking KPI. Tailor messaging progression: education → social proof → urgency.