Winning order volume

Design a high-converting Order Volume offer for my store using only the last 30 days of data. An Order Volume offer works by setting a spend threshold just above where most customers naturally land — close enough to feel achievable, high enough to lift AOV. The threshold should sit in a natural drop-off zone in the order distribution: a price point where the share of orders meaningfully falls, signalling that customers stop there by default. A well-placed threshold combined with a modest discount gives customers a clear, compelling 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. PRICE DISTRIBUTION — Pull Order Price Range Distribution data (Bin Width 20, maxBinEdge 300, last 30 days + previous period) and pie chart view for the current period. Note AOV and the cumulative % of orders below each candidate threshold. 2. DROP-OFF ANALYSIS — A drop-off is a greater than 10% absolute decrease in order share compared to the previous bin, AND the next two consecutive bins must also be lower than the drop-off bin. An increase is never a drop-off. A single dip that recovers in the next bin is never a drop-off. Bins with fewer than 5 orders are low-volume and cannot qualify. Only mark bins as Potential if they satisfy the drop-off rule AND have 5+ orders. 3. THRESHOLD SELECTION — Pick the threshold using this priority order: a. Upper bound of the highest Potential drop-off closest to and slightly above AOV. b. If no Potential drop-off exists at or above AOV but one exists below, use the upper bound of the highest bin within the bottom 70% cumulative. c. If no Potential drop-off exists anywhere, use the upper bound of the highest bin within the bottom 70% cumulative range. d. If two Potential drop-off points both sit at or above AOV, use the lower one as the primary threshold. 4. THRESHOLD VALIDATION — Verify at least 70% of orders fall below the suggested threshold. Verify threshold is slightly above AOV (ideally 5–25% above). If below AOV (margin risk) or more than 40% above AOV (low usage risk), adjust to the next best candidate. 5. DISCOUNT — Suggest a discount appropriate for an order-volume offer (typically 10–20%). Keep margins in mind. 6. PLACEMENT — Choose one: in-cart drawer progress bar, post-add-to-cart modal, or checkout upsell — whichever best fits a threshold-based offer for this store. OUTPUT — respond with exactly this block, starting at the bold heading: **Order Volume Offer Recommendation** Threshold: $[X] Discount: [Y]% Placement: [in-cart drawer progress bar / post-add-to-cart modal / checkout upsell] • [One sentence on why this threshold was chosen — reference the drop-off zone and AOV.] • [One sentence on why this discount was chosen — keep it plain and margin-aware.] • [One sentence on placement choice and why it fits this store's offer type.] [Open this offer in Upnova →]([storedomain].com/admin/apps/upez/winning-offer?prompt=order+volume+to+give+[DISCOUNT]%25+discount+at+[THRESHOLD]+dollars) Would you like to adjust the threshold, discount percentage, or placement? 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 - Your response must begin with "**Order Volume Offer Recommendation**" — nothing before it - Say "Upnova" everywhere — exception: keep /apps/upez/ in the URL exactly as written - Replace [DISCOUNT] with the discount number only (no % sign) and [THRESHOLD] with the dollar value (number only, no $ sign)