Install
openclaw skills install dropship-evaluatorEvaluate dropshipping product opportunities and supplier reliability by scoring margin potential, shipping times, supplier communication quality, and sample quality to reject dud products before sinking ad spend on them.
openclaw skills install dropship-evaluatorScore dropshipping product ideas and their suppliers before committing ad budget. This skill helps you reject duds early, prioritize winners, and document supplier evaluations so nothing gets approved on gut feel alone.
| Decision | Strong ✅ | Acceptable ⚠️ | Weak ❌ |
|---|---|---|---|
| Gross margin | ≥60% after COGS + shipping | 45–59% | <45% |
| Supplier response time | <4 hours | 4–24 hours | >24 hours or templated |
| Shipping time to target market | ≤12 days | 13–20 days | >20 days |
| Sample quality | Matches listing; no defects | Minor cosmetic issues | Defects, wrong specs, or refused sample |
| Saturation signal | <3 established sellers; no brand dominant | 4–8 sellers, none dominant | Top seller has 10K+ reviews |
| Ad angle uniqueness | Clear hook not used by existing sellers | Slight overlap with existing ads | Same angle as top performer |
| Supplier MOQ / flexibility | No MOQ or MOQ ≤20 units | MOQ 21–100 units | MOQ >100 units |
Before sourcing anything, run a quick market filter.
If all three axes are Green, proceed. Two Green, one Yellow = proceed with caution. Any Red = document and skip.
Fill in the Margin Calculator for each shortlisted supplier:
| Cost Item | Amount |
|---|---|
| Product COGS | |
| Shipping to customer | |
| Platform fee (Shopify, WooCommerce) | |
| Payment processing (2.9% + $0.30 avg) | |
| Expected return rate cost (2–5% of GMV) | |
| Ad cost per order (target CPA) | |
| Total cost | |
| Selling price | |
| Net margin |
If net margin after ad cost is <15%, the product needs a higher price point or lower COGS before proceeding.
A supplier who refuses to send samples or quotes an unusually high sample price is a red flag.
Before approving a supplier, simulate a problem:
Suppliers who deflect, blame customers, or take >48 hours to respond to a problem scenario will cause you pain at scale.
Score each supplier across 7 dimensions (1–5 scale each):
Total possible: 35 points.
Document the evaluation in the Output Template so your team or VA knows exactly what was decided and why. Include: winning supplier, backup supplier, agreed pricing, expected margins, launch ad angle, and who approved it.
Product: Adjustable posture corrector brace
Target market: US
Selling price: $34.99
Market check: 12 active Meta ads (4 running 90+ days). Amazon #1 seller has 3,200 reviews (manageable). Multiple angles available (back pain, desk workers, athletes).
Suppliers evaluated: 3 (AliExpress × 2, CJ × 1)
Winner: CJ supplier — responded in 2 hours, answered all 4 questions, offered custom packaging.
Margin model:
Sample result: Arrived in 9 days. Build quality matched listing. Minor logo placement issue — supplier fixed on request.
Decision: Approved. Launch with "desk worker" angle. Primary supplier: CJ. Backup: AliExpress supplier B.
Product: Magnetic false eyelash kit
Target market: UK
Proposed selling price: £19.99
Market check: 40+ active Meta ads, many running 180+ days. Saturated angle. Amazon has 3 sellers each with >8,000 reviews.
Supplier check: All 3 suppliers responded within 6 hours (good), but COGS was £5.50 + £6.20 shipping to UK.
Margin model:
Decision: Rejected. Margin is negative even before returns. Market too saturated for price increases to work.
Skipping the sample step — "the listing photos look good" is not due diligence. Samples surface packaging quality, actual dimensions, and delivery reality.
Modeling margin without ad cost — gross margin looks great until you add a $15 CPA and realize you're losing money.
Using only one supplier source — AliExpress only means you miss CJ, Zendrop, and local 3PLs that often have better margins or faster shipping.
Ignoring review velocity, not just count — a product with 500 reviews but 50 added in the last 30 days is heating up. High velocity = increasing competition.
Approving a supplier based on chat, not sample — supplier communication might be excellent but their fulfillment centre ships wrong SKUs or mismatches variants.
Forgetting return rate by category — electronics and clothing return rates are 2–3× higher than home goods. Not adjusting for this ruins margin models.
Not testing the stress scenario — suppliers who handle problem resolution poorly destroy your customer reviews, not theirs.
Locking into one shipping method — ePacket, YunExpress, and DHL have wildly different prices and timelines. Model the method your supplier actually uses, not their fastest option.
Evaluating in isolation — check that your winning angle isn't already being used by a competitor with a larger ad budget. Search Meta Ad Library by creative theme, not just product name.
No backup supplier on file — when your primary supplier goes out of stock or raises prices after you've scaled, having a pre-evaluated backup saves the product.