How much money you actually need to start
The honest answer isn't a single number. It's a budget that changes with your model.
Dropshipping can start near zero; holding inventory can't. And the line items people forget are what actually sink them.
Fastest path: one prompt, end to end
🤖 AI prompt — paste into ChatGPT / Claude
You are a startup-budget planner for a small e-commerce store. Use MY numbers only.
Model: [dropshipping / private label or inventory / reselling]
Product + target sell price: [product], [$]
Cash I have to start: [$]
Monthly personal costs this eventually has to cover: [$]
Do this:
1. Build a realistic startup budget for MY model as a line-item table: product/inventory, samples, platform + payment fees, domain/site, a returns/defects buffer, and an ad-testing budget. Flag the ones beginners forget (samples, returns buffer, ad testing, fees).
2. Split it into 'must-spend to launch' vs 'can wait'.
3. Do runway math: with my starting cash minus the must-spend, how many months can I test before I run out, at [$] per month of ad testing?
4. If you cite a fee % or benchmark cost, open a real source (the platform's own pricing page) and cite it. Do not invent numbers.
If you can't browse, leave fee cells blank and tell me which page to check.
If a number about me is missing, ask; do not guess.
Output: line-item budget + must-spend vs can-wait + runway in months.
Or do it in 4 steps
- Start from your model, not a magic number. Dropshipping's real startup cost is your store, a domain, and an ad-testing budget, because product cash is near zero. An inventory model (private label or wholesale reselling) adds the biggest line by far: the first purchase order. Write the model down first; it decides everything below.
- List the costs beginners forget. Samples before you commit to a supplier. A returns and defects buffer, since some inventory arrives broken or comes back. Platform and payment fees that skim every order. And an ad-testing budget: money you expect to spend learning which ads work before any are profitable. These four blow up a budget built only from 'product cost + shipping'.
- Separate must-spend from can-wait. You must spend on inventory or a launch product, a basic store, and enough ad budget to get real data. You can wait on custom packaging, a logo redesign, extra SKUs, and paid tools you don't need yet. Cutting the can-wait pile is how a tight budget still launches.
- Do the runway math before you spend. Starting cash minus must-spend, divided by your monthly ad-testing burn, is how many months you get to find a winner. If that's under two or three months, lower the burn or raise the starting cash. Launching with one month of runway is how most first stores die. See unit-economics-101 to turn these costs into a per-order picture.
Worked example (labeled): private label, $30 product, $3,000 to start. Must-spend: $1,800 first inventory order (300 units at $6), $200 samples, $150 store + domain, plus a $200 returns buffer = $2,350. That leaves $650 for ad testing.
At $200/month of testing, that's about 3 months of runway to find a profitable ad, tight but workable. The same $3,000 in dropshipping keeps ~$2,700 for ads and gives far more runway, at the cost of thinner margins later.
Budget from your model, fund the line items beginners skip, and never launch without runway to test; the forgotten costs, not the obvious ones, are what run stores out of cash.