The original concepts can be read through that question. The brief focused on performance marketers and growth teams: make the reporting use case legible through a direct headline, a destination cue, and a consistent hierarchy across formats. The artwork below preserves that work. The public-message review added on 09 September 2026 is a separate, retrospective exercise—not evidence of a campaign rollout or measured performance.

I adapted the original reporting-automation concept into a portrait feed layout and a taller vertical layout. These are format explorations—not a deployed Meta campaign or the headline experiment proposed below. Google Sheets remains an integration cue. The unverified “150+ hours” line is omitted from these new versions.

The two fully readable ads in the supplied Meta Library capture emphasize live marketing data inside AI workflows. This is enough to examine those messages, not to describe the whole ad account. I have not produced an Evidence Report from this limited material.

The original concepts lead with reporting automation. The reviewed ads lead with AI-assisted work using live data. On the current Studio product page, Supermetrics explains dashboard creation, conversational editing, campaign actions, and permission-based sharing. The relationship worth examining is between the promise in the ad and the specific workflow a visitor can inspect next. The Studio page is a comparison source here; it has not been verified as the destination of either sampled ad.

Ad promise: Is the buyer being offered less manual reporting, a connected AI workflow, or a maintainable dashboard? Choose one lead promise for each proposed creative.

Product proof: Does the next page show that exact task being completed? A dashboard image provides context; a relevant demonstration could explain the source, action, and output more clearly. That is a hypothesis to check, not a diagnosed conversion problem.

Next step: The Studio page offers both a trial and a demo. Each proposed ad should make its next action explicit and lead to a page that supports it. No comparison of CTA performance has been measured here.

I would begin by comparing two headline framings for the same reporting task: the connected workflow versus the manual step it could replace. Keep the destination, offer, CTA, audience, format, and supporting visual fixed. Before launch, the team would agree on the decision metric, qualified conversion event, sample requirements, and stopping rule. Click response alone would not establish lead quality or explain why someone converted.

Layout, icon emphasis, and motion would be separate experiments. The original format adaptations are design outputs, not evidence that a single-variable test ran. A later motion concept could show the same data connection and output, without introducing a new promise at the same time.

My contribution is the translation from a product proposition into a clear creative question and an inspectable next test. This case demonstrates the reasoning behind Creative Decision Support and Creative Test Design: review the available evidence, identify what remains unknown, and write a focused brief for the growth team. It does not establish a winning creative, lower CPL, budget savings, or a successful scaling system.

Sources: Supermetrics Studio product page; Supermetrics homepage; supplied Meta Library capture dated 07 September 2026 and original portfolio material. Website review: 09 September 2026.