When to use:
Example Prompt:
Use this tactic during planning and after implementation of any major
personalization project. For instance, before deploying an AI-driven
“Personalization results: +8%
personalization engine, use AI to stress-test the business justification. After
email click-through, +5% online
a pilot or first quarter of use, have AI help summarize the impact and ROI to
sales from personalized product
guide decisions on further rollout.
recommendations, cost $200k to
implement. What’s the ROI and
It’s also useful in annual budgeting – helping you make the case to
how should I justify continuing
increase investment in personalization by showing past results and future
this program?”
potential. Essentially, anytime you need to answer the question, “Is
personalization worth it?”, AI can help formulate a data-backed response.
Why it works:
Personalization can sometimes be seen as a “nice-to-have." Grounding it in ROI makes it concrete. GenAI not only speeds up
the number crunching but also excels at framing the narrative around the numbers.
It can surface value you might not think to include – like “reducing churn by X% through better engagement” or “saving X hours
per month through automated content creation.”
Enterprises prioritize tools that deliver measurable value – and this applies internally too. To maintain momentum and funding,
you need to consistently show impact. Letting AI handle the heavy lifting in ROI analysis ensures no piece of the puzzle is
missed, and that the results are communicated clearly and persuasively.
You can even prompt it to include benchmarks for context: “What’s the typical ROI of personalization in retail?” This gives
leaders confidence your results are competitive. In short, AI makes it easier to build a business case, accelerate decisions,
and keep your personalization strategy focused on high-impact initiatives.
GenAI Quick-Win Playbook for Personalization
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