Product Research Scorecard

Rate the product from 1 to 10 on each criterion. The scorecard weights them, returns a score out of 100 and tells you whether it is worth a test budget.

Product Research Scorecard

Score a product across eight criteria and get one number out of 100.

8
Room for a 3× markup? (weight 20%)
7
Does it stop the scroll? (weight 15%)
8
Is anyone actively looking for it? (weight 20%)
6
10 = almost nobody selling it. (weight 10%)
7
Light, small, hard to break. (weight 10%)
8
Can you film it well? (weight 10%)
5
Will they buy again? (weight 8%)
7
Stock, quality, response time. (weight 7%)

Result

What this calculator does

This scorecard replaces gut feel with a structured comparison. You rate a product idea from one to ten across eight criteria, the scorecard weights each one by how much it actually predicts success, and you get a single score out of a hundred plus a verdict on whether the product deserves a test budget.

How to use it

  1. Rate profit potential — can the product support a 3× markup? This carries the most weight at 20%.
  2. Rate wow factor and market demand. Demand carries 20%; without it, nothing else matters.
  3. Rate low competition, where ten means almost nobody is selling it.
  4. Rate shipping friendliness, creative potential, repeat purchase and supplier reliability.
  5. Read the score and verdict. Then look at the weakest area — that is the thing to fix or the reason to walk away.

The formula, explained

score = Σ (rating × weight) ÷ 10 Weights: profit 20 · demand 20 · wow 15 · competition 10 shipping 10 · creative 10 · repeat 8 · supplier 7

The weights are opinionated on purpose. Profit potential and demand carry the most because they are the two things you cannot fix later — you can improve creative, negotiate with suppliers and reposition against competitors, but you cannot manufacture demand for a product nobody wants at a price that leaves no margin.

Score consistently rather than generously. The value of a scorecard comes from comparing ten products on the same basis, so an eight should mean the same thing on Monday as it does on Friday.

A worked example

A posture-correcting desk device scores 8 for profit potential, 7 wow, 8 demand, 6 competition, 7 shipping, 8 creative, 5 repeat and 7 supplier.

The weighted total is 72 out of 100 — a promising product worth testing, with the weakest area being repeat purchase. That points to a clear action: build a bundle or an accessory range so each customer is worth more than a single order, because acquisition cost has to be recovered on the first sale.

Worked example figures for the Product Research Scorecard
Profit potential (20%)8
Market demand (20%)8
Wow factor (15%)7
Low competition (10%)6
Weighted score72 / 100

What a good result looks like

Scores cluster more than you would expect. These bands are how to read the result.

Benchmark ranges
RangeWhat it means
80 to 100Strong candidate. Build creative and fund a proper test.
65 to 79Promising. Test it, but address the weakest criterion first.
50 to 64Borderline. Only proceed with a genuine angle competitors lack.
Below 50Keep researching. Ad budget spent here is usually wasted.

Common mistakes

  • Scoring the product you want to sell. Enthusiasm inflates every rating. Score three products in a session so you are comparing rather than justifying.
  • Treating competition as automatically bad. Some competition proves demand exists. A ten here can mean nobody wants it, so read it alongside the demand score.
  • Ignoring shipping friendliness. Heavy, fragile or oversized products lose their margin to freight and gain refunds from damage. It is a bigger factor than it looks.
  • Overrating wow factor alone. A product that stops the scroll but solves nothing converts poorly. Wow gets attention; demand and usefulness get orders.
  • Never revisiting the score. Score again after your first test. Comparing the prediction against what actually happened is how the scorecard gets better.

Frequently asked questions

How do I find products worth scoring?

The usual sources are competitor stores and their best-seller collections, social platforms where products go viral, supplier marketplace trending lists, and your own experience of a problem you would pay to solve. The scorecard is for filtering the list once you have one.

What score is high enough to test?

Sixty-five and above is generally worth a test budget, and eighty and above deserves priority. Below fifty, the honest answer is usually to keep looking — a weak product with excellent advertising still performs worse than a strong product with average advertising.

Should I change the weights?

The weights reflect what tends to predict dropshipping success generally. If your store has a specific model — subscription, high-ticket, local same-day delivery — adjusting them makes sense. Just keep them fixed while comparing a batch of products.

Does a high score guarantee the product will sell?

No. It improves the odds and, more usefully, it stops you from testing obviously weak products. Testing is still the only way to know, which is why the startup cost calculator reserves most of the budget for exactly that.

How many products should I score before testing?

Score at least five to ten in a session. Scoring one product in isolation tells you very little, because the number only becomes meaningful next to alternatives assessed on the same criteria.

How this fits with your other numbers

The scorecard's value is comparative. A single product scored in isolation tells you very little, but ten products scored on the same criteria in the same session produce a ranking you can act on — and, more usefully, they make your own biases visible when you notice every product you found personally interesting scoring highly.

Come back to it after a test. Compare the score you gave with what actually happened in the ad account, and adjust how you rate each criterion accordingly. Over a dozen products this turns into genuine judgement, which is the only research advantage that cannot be copied from a video or bought from a product-finding tool.

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