Email Marketing
đź’Ž Built for Sidekick
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shopify
sidekick
email-marketing
cross-sell
Cross-Sell Email Recommendations
Pull real purchase-history data via ShopifyQL to ground cross-sell recommendations in live store data, then draft the email copy.
đź“‹ Prompt
Create a cross-sell recommendation email:
Brand name: [YOUR BRAND NAME]
Product purchased: [RECENTLY PURCHASED PRODUCT]
Complementary products: [2-4 PRODUCTS THAT PAIR WELL]
Price range of recommendations: [PRICE RANGE]
Cross-sell incentive: [BUNDLE DISCOUNT/FREE SHIPPING ON ADD-ON/NONE]
Brand tone: [HELPFUL/CASUAL/EXPERT/ENTHUSIASTIC]
Send timing: [DAYS AFTER PURCHASE OR DELIVERY]
Create the following:
“Complete the Look/Set” Email:
Subject line that feels helpful, not pushy
Reference their recent purchase by name
Explain why these products complement what they bought
Show 2-4 recommended products with image placeholders, names, prices, and one-line descriptions
Include a bundle discount if applicable
CTA for each product and one master CTA
“Customers Also Bought” Email:
Social proof-driven approach
Reference purchase data (real or templated)
Show what similar customers paired with their purchase
Include star ratings or review counts next to recommendations
Single compelling CTA
For each email provide subject line, preview text, and full body copy.
Keep recommendations to 3-4 products maximum to avoid choice overload.
Position recommendations as helpful suggestions, not upsell pressure.
Before drafting, run a ShopifyQL query against this store’s live order data to identify which products are actually purchased together with [RECENTLY PURCHASED PRODUCT] (frequently co-purchased items and their order counts), and use those real results — not assumptions — to populate the recommended products above.
Suggest optimal send timing based on product type (consumable vs. durable).
How to Use
- Copy the prompt above
- Open Shopify Sidekick in your Shopify admin
- Paste the prompt and replace the bracketed placeholders with your details
- Review Sidekick's response and apply the suggestions