Survey takeaways point to growth and CX as core motivators for adoption.
Practical wins include faster content cycles, improved targeting, and better customer service.
Most effective teams connect pilots to a weekly KPI review and publish results so other functions can learn.
Budget and skills constraints are navigated by scoping narrow pilots and reusing prompt libraries across campaigns.
Case study anecdote
A boutique e‑commerce brand used AI to improve product personalization and service replies. Customers found what they wanted faster and got quicker answers to common questions. The team also tested weekly ad variants generated from a structured prompt. Editing time fell, and by reviewing a small CPA/ROAS dashboard each Friday, they shifted spend to winners faster—lifting return without increasing budget. A short QA checklist (facts, claims, tone) kept quality high while speed increased.
Guidance for SMBs
Pick one revenue‑linked workflow (ads, email, chat triage). Publish the baseline and a 4‑week target.
Create a prompt/SOP doc with voice, length, and examples. Add a two‑step QA (facts, brand) for consistency.
Track leading indicators: edit time, first‑response, tests per week; then watch lagging indicators like CPA and AOV.
Guardrails: watch for privacy, hallucination, and data retention—limit inputs to what is necessary.
Lessons & metrics
ROAS, AOV, and repeat purchase rate tend to move with better personalization and service.
Leading indicators include tests per week, time‑to‑deploy winners, and first‑response speed. These typically improve before ROAS and retention rise.