Just Want To Use Mine?Not ready to build your own AI Merchandising Assistant? No problem. The Grow Golf Club GPT is live and open to the public—so you can try it out for yourself. Ask it anything, explore its features, and see how it could help your team. Just click the button below to get started.
10 Prompts to Analyze and ActOnce you upload the files into ChatGPT or try the GPT I created, try these prompts: 1. Segment Your Members “Which member segments (by age, gender, or size preference) have the highest average yearly spend, and how can we target them with personalized offers?”
"Which members respond most to sale, promotion, or holiday offers, and how should we time communications to drive conversion?"
2. Product Strategy “Which product categories are most popular among high-frequency shoppers, and which categories have low frequency but high transaction value?”
"Analyze apparel purchases by size and style preference to recommend future inventory orders?"
"Find members who consistently buy from one brand. What similar or complementary brands/products should we recommend to them?" 3. Identify Upgrade Opportunities “Find members with high average spend but low purchase frequency. What retention or loyalty programs might increase visit frequency?” "Highlight members who have completed equipment fittings but haven’t made a major equipment purchase yet.” "What’s the average spend for members who make equipment purchases vs. those who don’t?" 4. Impress Your GM "Create a purchasing memo that highlights trends and opportunities in sales to send to my GM" ConclusionWhether you're trying to track shopping behavior, aggregate key brands and items, or better understand your best spenders, AI can help you get there faster—and with more confidence. By turning your member data into smart, actionable insights, a custom merchandising assistant can unlock the kind of incremental revenue that adds up over time. If you'd like to test it out or talk about how to build your own, the Grow Golf Club GPT is just a click away. That's it for our AI series. I hope you enjoyed it, and if you missed a week, all of the past AI newsletters are linked below. Thanks for reading! See you next week.
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