Attraction
Does your brand appeal to the people you want to reach?
The psychology of marketing
Connect how people feel about your brand with what they actually do. Five dimensions, from first attraction to repeat purchases.
Explore your five scoresFive separate response rates. A clearer picture of your marketing, without hiding it inside an average.
01 / The framework
POLY Brand Score is a five-part marketing diagnostic. Each dimension asks a different question about the connection between your business and its customers.
Does your brand appeal to the people you want to reach?
Do they want your product at its actual price?
Does their attention turn into a click?
Do visitors become paying customers?
Do customers come back and buy again?
02 / The measurement
Each score is a percentage: positive responses divided by the relevant group, multiplied by 100. No industry benchmark is needed to calculate these rates.
| Dimension | How to measure it | Basic example |
|---|---|---|
| Attraction | Show the brand to target customers. Ask, “How appealing is this brand?” Count ratings of 4 or 5 on a five-point scale, from not at all to extremely appealing. | 70 positive ratings / 100 respondents70% |
| Desire | Show the product and actual price. Ask, “How likely are you to buy at this price?” Count ratings of 4 or 5, from very unlikely to very likely. | 40 positive ratings / 100 respondents40% |
| Action | Divide unique people who click by unique people shown the ad. Use a consistent campaign and measurement period. | 20 unique clickers / 100 people reached20% |
| Purchase | Divide unique buyers by unique visitors to the offer during a defined observation window. | 4 buyers / 20 visitors20% |
| Loyalty | Divide repeat buyers by customers who have had a full opportunity to buy again within a defined period. | 1 repeat buyer / 4 eligible customers25% |
Hypothetical examples, not performance benchmarks. Survey respondents and ad audiences may be separate groups. Stated desire is not a purchase. Small samples, especially four customers, are illustrative and provide limited evidence.
03 / Your scorecard
Enter counts for each dimension. Leave an unknown measurement blank. The five results stay separate because their audiences and actions are different.
Calculations run in your browser. Entries are not sent anywhere or saved after you close or reload the page.
Illustrative example loaded. Replace the counts with your own.
No average. No weakest-score rule. Read each rate in context and compare it with the same measurement over time.
04 / Read it responsibly
Keep survey wording, audience definitions, and observation periods consistent. A lower rate in one dimension does not automatically mean that stage is your biggest problem.
Purchase conversion shows whether people buy. Check contribution after product, delivery, and acquisition costs separately to understand whether those sales make money.
Define the repeat-purchase window for your category before measuring it. If repeat buying is not appropriate or customers have not had enough time, leave Loyalty unscored.
Survey your target audience, use larger samples where possible, and investigate changes. These rates describe responses; they do not prove what caused them.