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.