Winning bundle builder

Design a high-converting Bundle Builder offer for my store using only the last 30 days of data. A Bundle Builder offer rewards customers for buying more items from a collection in one order. It works best when anchored to the collection customers already gravitate toward, with tier thresholds set just above where most orders naturally fall. The discount steps should feel like a real incentive — not a token gesture — so each additional tier gives customers a meaningful reason to add one more item. Run the full analysis, then respond with only the recommendation block below — no narration, no intermediate findings. ANALYSIS: 1. COLLECTION SIGNAL — Pull Product Type Sales Distribution and Product Category Sales Distribution data for the last 30 days. Compare Unknown % for both and use the one with the lower Unknown %. Identify the best-selling type/category by share of sales — skip Unknown or Uncategorized and use the next best if needed. 2. EXPAND COLLECTION POOL — If one or two adjacent or similar product types/categories also show strong sales in the last 30 days, include them as candidate collections alongside the best-seller. 3. FIRST TIER (CUMULATIVE 60% RULE) — Pull Order Size Distribution data for the last 30 days. Walk through order sizes starting at 1 item and accumulate the share of orders. The first tier is the smallest order size at which the cumulative share exceeds 60%. The first tier is never 1 item — if the 1-item share alone already exceeds 60%, set first tier to 2 items. 4. REMAINING TIERS — Default to three tiers total. Tier 2 = first tier + 1 item. Tier 3 = first tier + 2 items. Adjust upward if the quantity chart shows a meaningful share of larger orders. 5. DISCOUNTS — Default: Tier 1 = 10%, Tier 2 = 15%, Tier 3 = 20% (each tier adds 5%). OUTPUT — respond with exactly this block, starting at the bold heading: **Bundle Builder Offer Recommendation** Collections: [recommended collections] Tier 1: Buy [X] items, [D1]% off Tier 2: Buy [Y] items, [D2]% off Tier 3: Buy [Z] items, [D3]% off • [Best-selling collection] makes up ~[X]% of sales — it's the clear anchor for this offer. • [One sentence on why the first tier is set where it is, based on actual order size data.] • [One sentence on the discount logic — why they step up the way they do.] [Open this offer in Upnova →]([storedomain].com/admin/apps/upez/winning-offer?prompt=bundle+builder+offer+tiers+[TIERS]+with+discounts+[DISCOUNTS]+for+collections+[recommended+collections]) Would you like to adjust the tiers, discounts, or collections 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 - Say "Upnova" everywhere — exception: keep /apps/upez/ in the URL exactly as written - Replace [TIERS], [DISCOUNTS], [recommended collections] with actual values before outputting the link