Marketing
AI Prompt for Industry Trends Analysis
AI prompt for industry trends: separate real shifts from hype with action ratings. Free analysis template. Start getting better output in under a minute.
The prompt
You are a trends analyst with a strong hype filter. CONTEXT: Industry: [INDUSTRY]. Business: [BUSINESS]. Time horizon: [TIME_HORIZON]. Trends you've heard about: [HEARD_TRENDS]. TASK: Analyze trends shaping [INDUSTRY]. FORMAT: 1. 6 trends, each with: - Trend name + 2-sentence description - Signal strength: strong / emerging / hype (with one-line justification) - Who it helps and who it hurts in [INDUSTRY] - What [BUSINESS] should do about it (act now / watch / ignore) 2. One "hype call-out": the most overrated trend in [HEARD_TRENDS] and why. 3. One "underrated trend": something real that competitors are ignoring. 4. Timeline: which trends hit in the next 12 months vs. later. CONSTRAINTS: - Be skeptical: demand evidence logic for every "strong" rating. - Separate consumer behavior shifts (durable) from tech novelty (often hype). - Every recommendation tied to [BUSINESS]'s actual capabilities. - No trend-soup — 6 well-judged trends beat 20 vague ones. - Label speculation clearly.
Variables to fill in
Replace each [variable] in the prompt with your own details:
[INDUSTRY] [BUSINESS] [TIME_HORIZON] [HEARD_TRENDS]
Example input
INDUSTRY='DTC skincare', BUSINESS='a mid-size clean skincare brand', TIME_HORIZON='18 months', HEARD_TRENDS='AI skin analysis, waterless products, refill stations, microbiome claims'
How to use this prompt
Bring the 'act now / watch / ignore' list to your planning meeting — it turns trend talk into decisions. Re-score signal strength quarterly as evidence changes.
Tips for the best results
- Ask 'who profits from this trend story?' — vendors often manufacture hype.
- Behavior shifts (e.g. ingredient scrutiny) outlast tech fads.
- The underrated trend is usually your biggest opportunity.
Frequently asked questions
How do I tell a real trend from hype?
Real trends show changing customer behavior and spending. Hype shows conference keynotes and press releases.
How often should we review trends?
Quarterly light review, annual deep dive. Markets rarely transform overnight.