Winning product volume
Create a winning product volume offer in 1 prompt.
- Copy the prompt at the bottom of this page.
- In Shopify admin, open Sidekick → Skills → + New Skill.
- Choose a Shortcut and paste the prompt into Instructions. Save.
Design a high-converting Product Volume offer for my store using only the last 30 days of data. A Product Volume offer is most powerful on products customers already buy repeatedly — consumables, accessories, or anything people naturally stock up on (supplements, socks, skincare, etc.). The goal is to shift repeat behaviour into a single larger order: instead of coming back twice to buy one, the customer buys two now because the discount makes it worth it. Tiers should start just one step above where most customers naturally land, so the first unlock feels immediately achievable. Run the full analysis, then respond with only the recommendation block below — no narration, no intermediate findings. ANALYSIS: 1. IDENTIFY BEST CANDIDATES — Pull Distribution of Sales by Product data for the last 30 days. Identify the top 3 products by sales volume. Skip anything that's clearly a one-time purchase (furniture, high-ticket electronics, custom items). The best candidate has high sales volume AND is a product a customer would reasonably buy 2–3 of in one order. 2. REPEAT PURCHASE SIGNAL — Check if the top candidate appears frequently across orders and has high unit sales relative to order count. A product with strong repeat purchase rate but low average quantity per order is the ideal target — this offer converts that repeat behaviour into a larger single purchase. 3. QUANTITY DISTRIBUTION — Pull Order Size or quantity distribution data for the chosen product. Find where most orders cluster (e.g. most customers buy 1 unit). The first tier must be one step above this natural cluster point — if most buy 1, first tier = 2; if most buy 2, first tier = 3. First tier is never 1. 4. TIERS — Default to three tiers. Tier 1 = natural cluster + 1 unit. Tier 2 = Tier 1 + 1. Tier 3 = Tier 2 + 1. Discounts: Tier 1 = 10%, Tier 2 = 15%, Tier 3 = 20%. Each step must feel like a meaningful gain — never less than 5% between tiers. 5. FREE ITEM BONUS — If a complementary in-stock product pairs naturally with the chosen product (e.g. a shaker with a supplement, a care kit with a skincare product), consider adding it as a free item reward at the highest tier only. Skip if no obvious complement exists. OUTPUT — respond with exactly this block, starting at the bold heading: **Product Volume Offer Recommendation** Product: [chosen product name] Tier 1: Buy [X] units — [D1]% off Tier 2: Buy [Y] units — [D2]% off Tier 3: Buy [Z] units — [D3]% off [Free item at Tier 3: [product name] — only include this line if a complement was identified] • [One sentence on why this product was chosen — reference its sales volume and repeat-purchase signal.] • [One sentence on why the first tier is set where it is — reference where most orders naturally cluster.] • [One sentence on the discount logic, and mention the free item bonus if applicable.] [Open this offer in Upnova →]([storedomain].com/admin/apps/upez/winning-offer?prompt=product+volume+offer+for+[PRODUCT]+with+tiers+[TIERS]+and+discounts+[DISCOUNTS]) Would you like to adjust the product, tiers, or discounts before moving forward? RULES: - Last 30 days only — no data outside this window - Never invent data — if unavailable, say so in one line and stop - No charts, no reasoning, no intermediate steps in the output - Skip products that are one-time purchases or where buying multiple makes no sense - Never recommend out-of-stock or unavailable products - Your response must begin with "**Product Volume Offer Recommendation**" — nothing before it - Say "Upnova" everywhere — exception: keep /apps/upez/ in the URL exactly as written - Replace [PRODUCT] with product name (spaces as +), [TIERS] with quantities separated by + (e.g. 2+3+4), [DISCOUNTS] with percentages separated by + (e.g. 10+15+20)

- Run the skill in Sidekick.
- Sidekick responds with a suggested product-volume offer, why it chose that setup, and a link to build it in Upnova. Open the link, adjust if you want, then publish.