D2C Daily Supplement Brand
Problem: High $28 CAC on $38 single bottles left zero net margin.
Diagnosis: QUANTITY BREAK (Repeat-consumption signal).
Action: Deployed 3-tier quantity breaks (Buy 2 save 15%, Buy 3 save 20%) with Kaching.
FREE AOV & BUNDLE AUDIT FOR SHOPIFY
Find bundle opportunities in 90 days of orders. Use our free prompt in Shopify Sidekick to see what’s worth testing.
Save once. Reuse as your store grows.
ShopSideK AOV & Bundle Opportunity Audit — Sidekick Production Prompt v1.5 Perform the ShopSideK AOV & Bundle Opportunity Audit for this store. Goal: determine whether there is credible evidence that an AOV or units-per-order opportunity could reasonably be addressed through a structured multi-unit or multi-product offer. Do not assume a bundle is needed. 1. Scope Focus only on AOV / units-per-order bundle opportunity. Do not audit the whole business. Analyze the most recent 90 days. State exact dates, latest order date, orders found and analyzed, exclusions, and recent data gaps affecting confidence. Exclude test, canceled, and voided orders; do not exclude orders solely because they were refunded. If evidence encountered points outside this scope, label it Outside Scope without investigating that issue. 2. Evidence Use only store information you can actually access and verify. Where available, examine: - order composition and items per order, - same-product quantities, - products frequently bought together, - complementary product combinations, - repeat-purchase patterns, - discount behavior, - existing multi-item or bundle-like behavior. Use Shopify's AOV definition. State the cohort and filters; label filtered AOV and apply consistent eligibility rules across comparisons. Mention refunds only if material to the recommendation. For important product-pair claims, give order count, unique customers, percentage, and denominator. Existing multi-item behavior is a positive signal, not a prerequisite for eligibility. Do not invent metrics, margins, conversion/session data, product relationships, economics, or customer behavior. Clearly distinguish verified evidence from interpretation. Do not treat correlation as causation. Traffic and conversion data are optional context, never substitutes for order-level evidence. If unavailable, do not reduce eligibility solely because they are missing. 3. Stage 1 — Eligibility Choose exactly one: YES — credible evidence supports testing a bundle-style offer. MAYBE — credible signals suggest a bundle-style offer may be worth testing, but material uncertainty remains. NO — sufficient evidence is available, but it does not support a bundle-style offer now. INSUFFICIENT EVIDENCE — reliable evidence is too limited to assess responsibly. Evaluate eligibility before choosing a mechanism. 4. Stage 2 — Standardized Diagnosis Choose one primary diagnosis: 1. Quantity Break — evidence supports encouraging more units of the same product or closely related variants. 2. Cross-Product / Mix & Match — evidence supports combining different eligible products. 3. Buy X Get Y / BOGO — a reward-based offer appears more suitable than a standard quantity discount. 4. Complete-the-Bundle Upsell — evidence supports pairing an anchor product with complementary items. 5. No Bundle Recommended — current evidence does not support a bundle-style offer. 6. Insufficient Evidence / Outside Scope — evidence is inadequate, or evidence encountered during this audit indicates that the relevant constraint is outside this scope. Keep eligibility and primary diagnosis consistent: - YES → diagnosis 1–4. - MAYBE → diagnosis 1–4 if a mechanism can be reasonably identified; otherwise Insufficient Evidence / Outside Scope. - NO → No Bundle Recommended, or Insufficient Evidence / Outside Scope if available evidence indicates the relevant constraint is outside this audit. - INSUFFICIENT EVIDENCE → Insufficient Evidence / Outside Scope. You may mention a secondary mechanism signal when it is genuinely supported by evidence, but keep one primary diagnosis clear. 5. Recommendation Rules For diagnoses 1–4: - explain the strongest supporting evidence, - state the main uncertainty, - recommend the smallest practical first test. Do not invent discount percentages, prices, quantity tiers, thresholds, margins, or economics. If required economics are unavailable, say they must be validated before implementation. For No Bundle Recommended, explain what evidence or conditions would need to change before reconsidering. For Insufficient Evidence / Outside Scope, state what information is missing or what issue should be investigated separately. Do not recommend a Shopify app or vendor. 6. Output Return the report in this order: Result ELIGIBILITY: [YES / MAYBE / NO / INSUFFICIENT EVIDENCE] DIAGNOSIS: [one primary standardized diagnosis; optional secondary signal if useful] BOTTOM LINE: [2–4 concise sentences] Evidence Found List only relevant evidence you verified and briefly explain why it matters. Interpretation Separate: Verified observations Reasonable interpretation First Test / Next Step For diagnoses 1–4, state: - behavior to change, - suitable product or product relationship, - assumption being tested, - economic or data constraint to validate. For No Bundle Recommended, state what would need to change before reconsidering bundles. For Insufficient Evidence / Outside Scope, state the missing information or issue that should be investigated separately. Missing or Uncertain Information List only gaps affecting confidence in the diagnosis or test; omit hypothetical or out-of-scope gaps. Finish with: NEXT ACTION: [one concise sentence] Audit methodology: ShopSideK. Analysis performed by Shopify Sidekick.
/ssk-aov-audit Review my store’s bundle opportunities.
Primary diagnosis · Eligible for a test
Pair the Gentle Cloud Gel Cleanser with a complementary serum, SPF or toner to complete the routine.
Secondary signal: Quantity Break
Winning the customer is only part of the equation. Compare what remains in a single-item order and a two-item scenario.
Illustrative before/after scenario. Acquisition cost is held constant; conversion-rate changes, refunds and overhead are not modeled.
FROM DIAGNOSIS TO IMPLEMENTATION
Explore three bundle stories, from the offer tested to how it appears on the product page.
Add bundles to your product page. Make the options, prices and savings easy to compare.
SHOPSIDEK PARTNER OFFER
Your first 3 months · Any paid plan
Enter SSK20 when choosing a plan. Check offer eligibility in the app.
If your audit says “No Bundle Recommended” or “Insufficient Evidence,” hold off on installing. Revisit when you have more orders or buying patterns change.
The audit starts with how people actually buy. These four signals help separate a promising idea from an offer that needs more evidence.
Do shoppers already buy more than one? Repeated multi-unit orders help reveal demand for a larger pack.
Find products that repeatedly share a basket. These combinations can suggest a useful set or a relevant add-on.
See how orders differ when gifts or discounts are involved, and where the available data leaves questions unanswered.
A few orders can look like a pattern. The audit checks volume, consistency and missing information before suggesting a test.
Find the label from your Sidekick report below. Open the matching guide to choose an offer, check costs and plan your test.
Your report points to demand for more of the same product. Use the guide to choose pack sizes and a discount your margins can support.
Quantity break guideYour report suggests products customers may want together. Choose which items to include, then check costs and savings before building the set.
Product selection guideYour report points to a gift or free-item offer. Compare the options and check what the reward will cost before launching.
BOGO vs. quantity breaksHelp shoppers find the item that completes their purchase. Choose a companion product and where to offer it: product page, cart or after purchase.
Upsell placement guideYour current evidence does not support a bundle test. Keep the buying journey simple, and revisit when order patterns change.
When to bundleThe audit needs more reliable data, or your main issue falls outside its scope. Check what is missing before choosing an offer.
First 100 orders