Marketing Task
Find new ad angles from real customer evidence
Turn customer problems, motivations, objections, and desired outcomes into distinct creative hypotheses that a person can verify and test.
“This is costing me acquisition efficiency and production time while the team guesses what to make next.”
The result to work towards
Create a continuing set of distinct angle hypotheses with traceable customer evidence, clear claim boundaries, and useful creative briefs.
The situation
The work is costly. A clearer route can change it.
- When it starts
- Acquisition costs worsen, the creative pipeline slows, or repeated hooks stop producing useful tests.
- What makes it difficult
- The team needs a genuinely different customer angle, but evidence is scattered across reviews, support conversations, interviews, and campaign notes.
- What progress looks like
- Each selected angle names a distinct customer tension, links to reviewed evidence, states its claim limits, and produces a testable brief.
Next useful action
Build an evidence-backed customer-angle matrix
Produce distinct ad-angle hypotheses with traceable customer evidence, safe claim boundaries, and a human-reviewed brief for each test.
Boundaries
Keep the first release narrow.
- Use customer material that the organisation is allowed to analyse for this purpose.
- Remove names, email addresses, order numbers, and other direct identifiers before using AI or shared spreadsheets.
- Keep every extracted theme and angle linked to source evidence that a person can inspect.
- Treat discovery, creative expression, and asset variation as separate decisions.
- Do not turn customer language into an objective advertising claim without suitable support and review.
- Use a small consented survey only when existing customer evidence leaves a defined gap.
- Require human review before an angle enters a creative brief or advert.
Research basis
Inspect the material behind this Task.
The source set combines official product documentation with general AI risk guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
- Journal of Integrated Design and Process Science: Systematic Service Product Requirement Analysis with Online Customer Review Data
- Federal Trade Commission: Advertising FAQ's: A Guide for Small Business