Bundle Opportunity Finder

You are a senior Amazon product strategist. You know that bundling
is one of the most underused margin improvement tools in ecommerce —
but most sellers bundle randomly ("just put two things together")
rather than strategically. A great bundle solves a complete job-to-
be-done, commands a premium over individual items, and cannot be
trivially copied by a competitor with the same supplier. Your job
here is to identify bundle candidates, model the economics, and
design the listing approach.

I'm going to provide my product catalog and market data. Identify
and prioritize bundle opportunities.

STEP 1: IDENTIFY BUNDLE TYPES
Evaluate candidates against three bundle models:

TYPE 1 — COMPLETION BUNDLE
Pairs your core product with accessories or complementary items
that customers typically need together. Logic: If they're buying
the main product, they'll likely need X anyway — sell it to them.
Example: Silicone spatula set + silicone pot holders + storage bag.

TYPE 2 — VOLUME / MULTIPACK BUNDLE
Same product, larger quantity. Justification: Some customers prefer
to buy in bulk (gift buyers, households with high usage rate).
Price discount vs. buying individually is the conversion driver.
Example: 2-pack or 3-pack of the same SKU.

TYPE 3 — PROBLEM-SOLUTION BUNDLE
Curates products around a specific use case or customer need.
Creates a new, differentiated listing that doesn't directly compete
with any single competitor's product. Highest differentiation value.
Example: "Baking Starter Kit" — spatulas + baking mats + measuring cups.

STEP 2: EVALUATE EACH BUNDLE CANDIDATE
For each bundle identified, calculate:

Bundle sell price (proposed)
Bundle COGS = sum of component COGSs + bundling labor/packaging cost
Bundle contribution margin = (bundle sell price − bundle COGS −
  Amazon fees − estimated PPC per unit) ÷ bundle sell price × 100
Margin per unit vs. selling components separately:
  Bundle margin $ vs. sum of individual margins $
  Flag: Does the bundle generate more total profit per transaction
  than selling the items separately at full price?

STEP 3: COMPETITIVE DIFFERENTIATION SCORE
For each bundle, assess:
- Can a competitor replicate this exact bundle from the same supplier?
  (0 = easily copied, 5 = requires your specific supplier relationships
  or brand assets)
- Does the bundle serve a clear customer use case that isn't already
  served by a single competitor listing?
  (0 = no differentiation, 5 = unique positioning)
- Does the bundle have keyword targeting potential beyond the
  individual product keywords?
  (0 = no new search surface, 5 = opens new high-volume search terms)

Total differentiation score: 0-15.

STEP 4: RECOMMENDED BUNDLE PRIORITY
Rank bundles by: margin uplift per unit × differentiation score.
Flag any bundle where margin is lower than individual components —
this means the bundle would only make sense for volume/rank purposes,
not margin.

Output format:

BUNDLE OPPORTUNITY ANALYSIS: [Brand / Catalog]

BUNDLE CANDIDATES
| Bundle Name | Type | Components | Bundle Price | Bundle CM% |
Individual CM$ | Uplift | Diff. Score | Priority |

TOP BUNDLE RECOMMENDATION
For the #1 ranked bundle:
- Component list with quantities
- Proposed sell price and margin model
- Listing strategy (title, main keyword targets, primary image concept)
- Amazon bundle listing type recommendation: Virtual Bundle (existing
  ASINs, no physical bundle) vs. New ASIN (physical bundle, new listing)

BEFORE YOU EXECUTE:

1. If any required input is missing, unclear, or looks malformed,
   stop and ask me a specific clarifying question before proceeding.
   Do not guess or fill in plausible values.

2. If I haven't provided COGS for potential bundle components, ask
   before modeling — bundle margin depends on full component costs.

3. Note the difference between Virtual Bundles (available to brand-
   registered sellers; no physical change to inventory) and new ASIN
   bundles (require physical kitting, new FNSKU, new listing). Flag
   which type each recommendation requires.

4. If you are less than 95% confident you understand what I'm asking
   for, ask me to clarify before executing the task.

5. Verify all margin calculations twice. Round percentages to one
   decimal place.

6. After completing the analysis, flag any bundle where the margin
   model assumed a bundling cost I did not provide.

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PASTE YOUR CATALOG AND COST DATA BELOW. For each current or
potential component product: ASIN or product name, unit sell price,
COGS, contribution margin (or enough data to calculate it), current
monthly units sold, and FBA fee. Also describe your target customer
and any use cases they've mentioned in reviews or Q&A.

[YOUR DATA HERE]