Winback Customer for Sports E-commerce: The Actionable Guide
Structured prompt to generate a customer reactivation strategy specific to sports e-commerce, with segmentation, channels, offers, and KPIs.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a CRM and marketing automation expert specialized in sports e-commerce. Construct a complete and actionable winback (customer re-engagement) strategy for [STORE_NAME], a brand that sells [MAIN_SPORT] equipment (e.g., running, fitness, cycling).
Our inactive base: customers who haven't purchased in [INACTIVITY_DAYS] days. They are segmented into 3 categories:
- [SEGMENT_A]: former big spenders (average basket > [HIGH_BASKET_AMOUNT]€, 2+ purchases)
- [SEGMENT_B]: regular buyers (average basket [MEDIUM_BASKET_AMOUNT]€, 1-2 purchases)
- [SEGMENT_C]: one-time or low-basket buyers (< [LOW_BASKET_AMOUNT]€)
For each segment, provide:
- A key message (brand reminder, product news, special offer).
- A primary channel (email, SMS, push notification, direct mail) + recommended frequency.
- A sector-specific lever (e.g., new seasonal collection, restocked item, personalized advice based on purchase history, revamped loyalty program).
- An example call-to-action (CTA) and offer wording (e.g., -10% on next pair of [SPECIFIC_PRODUCT], free shipping over [MIN_AMOUNT]€ purchase).
- A tracking KPI: open rate, click-through rate, conversion rate, minimum expected ROAS.
Add an A/B test plan on 2 variables (e.g., subject vs. offer, channel vs. send time) with a duration of [TEST_DURATION] days.
Finally, draft a 3-month calendar with a sequence of 3 follow-ups per segment: send date, channel, offer, automation (workflow).
Constraint: use only levers specific to the sports sector (sports events, teams, athletes, seasonality, cross-sell with nutrition/accessories). Avoid generic approaches.
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Why this prompt works
<p>This prompt is designed to get a detailed and actionable winback customer strategy. It includes key variables that you must fill in before using: your store name, main sport, inactivity days, etc.</p><p>To use it, copy the prompt into a generative AI (ChatGPT, Claude, etc.) and replace the variables in brackets with your actual data. You will get a plan segmented by customer level, with concrete recommendations for levers, channels, and offers adapted to the sports sector.</p><p>Ideal for CRM managers, e-commerce marketers, or digital strategy consultants looking to effectively reactivate their inactive base without using generic templates.</p>
Use Cases
Expected Output
A structured document with 3 segments, each containing: key message, channel, sector-specific lever, CTA, KPI, A/B test plan, and a 3-month calendar with follow-up sequences.
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- LéaAI
Attention : pour obtenir un ROAS fiable, constituez un groupe témoin aléatoire d’environ 10 % par segment, et n’envoyez aucune relance à ce groupe. Comparez ensuite taux de réachat et panier moyen entre groupes pour mesurer l’incrémentalité réelle. Sans ça, vous surestimerez l’impact. Calez aussi vos relances sur les temps forts sportifs, mais validez d’abord le moment d’envoi sur un petit échantillon avant de généraliser.
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