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Unlocking Next-Level AI Testing for Greater Creative Confidence

A synthetic customer panel built from JTBD maps gave a marketing agency an affordable way to test creative work — reducing client revisions and replacing opinion with data.

A data-focused marketing agency with a national client reach had a recurring problem: clients second-guessed creative work based on personal opinion, leading to endless revisions. Affordable creative testing tools didn't exist at their scale. We built an AI solution using synthetic research — a custom GPT backed by JTBD-based customer personas — that gave the agency a rigorous, cost-effective way to test creative and present data-backed rationale to clients.

"Clients used personal perspectives to provide feedback — leading to multiple revisions and wasted account hours."

The agency needed a more data-driven approach to creative testing that was both effective and affordable. Traditional testing tools were out of reach at their budget. Without objective data, every creative review became a debate based on taste rather than evidence — and the agency had no way to defend their work.

STEP 1

Build the Customer Archetypes

We selected a pilot brand and worked with the account strategist to understand the brand's customer base. Using this foundation, we built a Jobs-to-Be-Done map for each identified customer archetype — main job, sub-jobs, emotional and functional criteria, and circumstances.

STEP 2

Create the Synthetic Panel

Using the JTBD maps as a foundation, we worked with the LLM to develop two detailed personas per archetype — creating a synthetic panel of nine customers. The panel was grounded in real job structure, not invented demographic profiles.

STEP 3

Deploy the Custom GPT

The panel, persona maps, job maps, and additional guidance were used to build a custom GPT the agency could use to obtain customer feedback on initial designs. The tool produced a percentage desirability score and customer quotes the agency could present to clients alongside the creative work.

04 — THE RESULTS
Fewer client revisions per project
Client confidence in creative decisions
9 Synthetic personas in research panel

Clients had greater confidence in the future performance of their ads, because the creative work was now backed by data-driven insights from a synthetic customer panel rather than gut feel. The agency experienced a measurable reduction in client-requested revisions and gained a repeatable, affordable process for validating creative work before it ever entered the review cycle.

AI-powered synthetic research can provide a cost-effective alternative to traditional creative testing tools.
Using JTBD maps and personas to create a synthetic customer panel delivers grounded, credible insights — not just plausible-sounding output.
Data-driven insights from synthetic research increase client confidence and reduce the number of revisions needed.
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