The Big Picture of Marketing × AI
Marketing is an area where AI's effect shows easily. Use cases differ at each stage of campaign design, production, and effect measurement.
Uses by Stage
- Strategy/planning: persona organizing, surfacing appeal axes, competitor-move analysis
- Production: mass-producing ad copy/LP text/social posts/email and A/B options
- Operation: review summarizing, inquiry classification, FAQ auto-generation
- Analysis: summarizing campaign results, hypotheses, next-action proposals
Use in Effect Measurement
Organize this campaign's results (metrics pasted) into "factors that worked / didn't work / next move." As hypotheses not assertions, paired with verification methods.
Principles to Not Fail
- Verify numbers yourself: even if AI analyzes, people confirm aggregation correctness
- Protect the brand voice: fix tone & manner in the prompt for mass copy
- Personal/customer data: don't input raw; use aggregates/anonymized
- Treat as "plausible hypotheses": verify causality of effects by experiment
Tips for Embedding
Templatizing and sharing winning prompts boosts the whole team's production speed. The iron rule: people hold creative judgment and final approval.
