Research before you commit
Pick a product that can actually win
A winning product clears a few hard filters: margin, shippability, differentiation, and real demand. Score candidates before you fall in love with one.
Most first stores fail on product choice, not marketing. A product that can actually win clears specific filters: enough margin to afford ads, easy to ship, a reason to buy it over alternatives, and provable demand. AI scores your candidates against the filters; you supply honest costs and confirm demand in a tool.
Pick a product that can actually win
More first stores die from a bad product pick than from bad ads. Winners clear hard filters, margin, shippability, differentiation, demand, before any marketing. AI can score your candidates against those filters; you supply the real costs and confirm demand in a tool, because AI can't know your supplier price or see live search volume.
Fastest path: one prompt, end to end
AI prompt — paste into ChatGPT / Claude
You are a product-selection analyst for a new DTC store. Candidate products (list 3-5): [names] For each, what I know: rough cost [$], target sell price [$], size/weight, who buys it. Score each candidate 0-5 on these filters and return ONE table: 1. Margin headroom: sell price vs cost, enough to afford ~$20-40 CAC? (compute gross margin from MY numbers). 2. Shippability: small/light/durable vs bulky/fragile/heavy. 3. Differentiation: a real reason to buy it over Amazon/alternatives. 4. Demand: open Google Trends and a keyword tool, read real interest, do NOT invent volume; if you can't browse, leave it blank and tell me to check. 5. Passion/knowledge fit (helps content). Columns: Product | Margin | Ship | Diff | Demand | Fit | Total | Verdict Recommend the top 1-2 and the single deciding reason.
Or do it in 5 steps
- Filter on margin first. You need enough gross margin to pay for ads and still profit. A rough rule: aim for a sell price ~3-5x product cost so a ~$20-40 customer-acquisition cost still leaves margin. Thin-margin products can't afford paid traffic.
- Check shippability. Small, light, durable, and not oversized wins, shipping and breakage quietly kill margins on bulky or fragile items.
- Demand a reason to exist. If it's identical to something on Amazon at half the price, you'll lose. Differentiation can be the product, the brand, the bundle, or the audience, but it must be real.
- Confirm demand with data. Google Trends for direction, a keyword tool for search volume, marketplace bestseller ranks for proof people buy. Curiosity isn't demand.
- Weigh your own fit last. Knowing the niche helps you make content and spot angles, but it never overrides failing the margin or demand filters.
Worked example (labeled): a $6-cost product selling at $30 = 80% gross margin ($24), comfortably affords a $20 CAC. A $22-cost product selling at $30 = 27% margin ($8), one ad click too many and it loses money. Same price, completely different viability. Run the margin math before anything else.
Re-score with real numbers before committing to any product.
Do
- ✓Filter on margin first — aim for a sell price ~3-5x product cost so a $20-40 CAC still profits.
- ✓Score every candidate on the same five filters (margin, ship, differentiation, demand, fit) in one table.
- ✓Confirm demand with data: Google Trends for direction, a keyword tool for volume, bestseller ranks for proof.
- ✓Feed the AI your real supplier cost and sell price so the margin math is yours, not a guess.
Avoid
- ✕Don't pick a thin-margin product hoping volume fixes it — it can't afford paid traffic.
- ✕Don't ignore shippability — bulky or fragile items quietly bleed margin to freight and breakage.
- ✕Don't sell something identical to an Amazon item at half the price — you need a real reason to exist.
- ✕Don't let passion or niche knowledge override a failed margin or demand filter — fit is the last tiebreaker.
Quick tips
- Run the margin math on two same-price candidates side by side — $6 cost vs $22 cost at $30 is 80% vs 27%.
- If the AI can't browse for volume, make it leave demand blank and flag it — don't accept an invented number.
- Score 3-5 candidates, not one — a scorecard stops you falling in love before the numbers are in.
Brand in focus
Dollar Shave Club — a low-cost, high-repeat product that could afford to acquire
DollarShaveClub.comAcquired by Unilever for a reported $1B in 2016
Dollar Shave Club fits because its product pick passed every hard filter at once: razors are small and light (cheap to ship), consumable (repeat purchase carries the CAC), and its differentiation was price plus brand against an incumbent giant, not a novel razor. What it did well was choose a product whose economics let it spend to acquire and win the customer back monthly. Watch-out: the model works because of repeat, not the razor itself — copying the product without the recurring-purchase math is the trap.