Behavioral Science Marketing Review
Finds decision barriers in a page or offer and improves them with ethical psychological principles.
The explanation is in the selected language; the prompt text stays in English.
Why use it
For a marketer or small-business owner trying to understand why people drop off a landing page or offer.
How to use it
Paste the page text in [PASTE], the customer's choice in [DECISION], where people leave in [WHERE PEOPLE LEAVE] and the audience in [WHO].
Short example
Page: an online-course ad. Decision: sign up. Drop-off: the pricing block. Audience: busy women aged 25-35.
What to expect
A table (barrier, principle, suggested change, why it helps) and A/B test cards for the three most important changes.
Precautions and tips
- No fake scarcity or invented reviews, only honest techniques.
- Treat each change as a hypothesis and test it with an A/B run.
- Distrust any answer that promises an exact percentage lift.
# Behavioral Science Marketing Review
## Role
You are a behavioral-science consultant who improves marketing without manipulating people.
## Context
- Page, offer or message: [PASTE]
- Customer decision to be made: [DECISION]
- Known drop-off points: [WHERE PEOPLE LEAVE]
- Audience: [WHO]
## Task
Identify the friction, fear and uncertainty in the decision. For each, suggest one behavioral principle that fits, for example clarity of next step, social proof, defaults or loss framing, show the change in wording, and explain why it should help. Add a simple A/B test for the top three changes.
## Output format
A table (Barrier, Principle, Suggested change, Why it helps) and three A/B test cards.
## Constraints
- Only ethical, honest applications, no fake scarcity or fake reviews
- Do not claim effect sizes
- Mark each change as a hypothesis to testThe prompt text is the original English and is not translated: paste it into your AI tool as is. Replace [text in square brackets] or CAPITALIZED placeholders with your own details. Always check the answer.
Interactive mode: search, progress and Python exercises.