Kettio / Creative decision engine

Know which ads to scale before you spend.

Upload two static ads, choose your buyer, and get a quick prediction with clear next steps. No signup or credit card.

Selected commerce brands

Creative Tests/Summer 26' ads
Rank new ads
Predicted performance / batch 08Model complete

MYOTIDE / Meta prospecting · Purchase conversion

MYOTIDE tummy-tuck comparison campaign ad01
Variant AFund this concept84
MYOTIDE muscle-preservation campaign ad02
Variant BHold for revision62

Example model output · Real MYOTIDE campaign creative

How it works

How Kettio predicts which ad is stronger.

You provide the competing ads, the buyer, and the goal. Kettio simulates likely buyer responses, compares every ad on the same scale, and returns a directional winner before you spend.

01 Upload your ads

Add the ads you are choosing between.

Kettio compares like with like: static images, copy, or full ad packages. Each creative is evaluated separately so one ad cannot influence the read on another.

02 Choose the buyer and goal

Tell Kettio who you want to persuade.

Choose the platform, conversion goal, and buyer profile. Those choices determine the context and the question the simulated audience evaluates.

03 Simulate the response

Kettio models how that buyer is likely to react.

AI respondents modeled on your chosen buyer evaluate each ad independently. Their responses are compared with calibrated anchors and combined into a directional ranking.

04 Make the decision

Get a winner, the reasons, and clear next steps.

See which ad leads, why it leads, how confident the read is, and what to improve. Kettio flags close calls; live media remains the final proof.

Illustration of Kettio modeling audience reactions

For high-volume creative operations

Built for teams that ship thousands of ads.

The decision layer between production and media: rank the batch, cut weak work, and launch a stronger shortlist.

01 / Batch in

Bring the creative and the campaign context.

Bring a 50–200 creative pilot with the audience, objective, asset IDs, and copy attached. We map your taxonomy during setup.

Ridge / batch 01Ridge multi-wallet Founder Sale Meta ad

02 / Conversion signal

Rank for the outcome you are buying.

Choose purchase intent, conversion potential, CTR, or trust. Kettio returns a relative rank, rationale, and confidence signal.

Ridge / batch 02Ridge matte gunmetal wallet Founder Sale Meta ad

03 / Launch shortlist

Cut weak work before it reaches media.

Hold the bottom of the batch and concentrate live spend on the strongest shortlist. Meta remains the final proof.

Ridge / shortlistedRidge Basecamp Orange MagSafe wallet Meta ad

04 / Workflow out

Put the decision back into your pipeline.

Score up to 20 images per API request and send structured JSON back to the sheet or system your team already uses.

Ridge / batch 04Ridge Lunar Collection Founder Sale Meta ad

Calibration starts with your truth.

We rank past creative blind, then compare the result with purchases, CPA, ROAS, or qualified leads—before Kettio enters production.

Customer-reported outcome

18%lift in
total ROAS
A marketing team collaborating

“Using Kettio helped create a lift in our total ROAS by 18%.”

Customer-reported result

Better creative decisions showed up in the account.

Kettio helped the team prioritize which creative deserved spend before the next media cycle—then Meta supplied the final behavioral truth.

Prove it on your account
Historical creative inBlind shortlist outReal account results revealed

Customer-reported total ROAS lift after adding Kettio to the creative-selection workflow. Individual results vary by account, campaign, offer, and media conditions.

Pick your next winner

Know which ads to scale before you spend.

Upload two static ads, choose your buyer, and get a quick prediction with clear next steps. No signup or credit card.

FAQ

Frequently asked questions

The questions high-volume creative teams ask before putting a model in the launch workflow.

Kettio pre-scores ad creative for a specific audience, platform, and campaign goal. It returns a relative ranking, rationale, and confidence signal so you can cut weak work and concentrate live media on the strongest creative.

Kettio can rank for purchase intent and conversion potential, not only attention or engagement. The output is a directional winner signal—not a promise of an exact CPA or ROAS. Use it to decide what deserves live testing; use the ad platform to verify the final behavioral outcome.

Yes. In a blind back-test, Kettio ranks past creatives without seeing spend, purchases, CPA, ROAS, CTR, or the winner labels. We then compare the ranking with your known outcomes so you can judge the signal on your own brands before adopting it.

That starts with the blind back-test. If you have enough clean creative, spend, and outcome data, a founding pilot can scope account-specific calibration around the patterns that actually matter for your portfolio. This is a pilot workflow, not an automatic self-serve training switch.

Images are batch-ready through the Ranking API, which accepts up to 20 images per request and 60 scoring evaluations per minute per API key. Larger image batches can be orchestrated across requests. High-volume video ingestion and turnaround are scoped with founding pilots while the dedicated bulk-video workflow is productionized.

Yes through the Ranking API: it returns structured JSON with asset IDs, rank, score, rationale, and confidence data. The request also accepts audience, goal, platform, and ad-copy context. Founding pilots map your concept, persona, angle, and vertical taxonomy into the handoff your team uses.

Individuals and small DTC teams can use the $29.99 or $139 monthly subscriptions. Agencies, multi-brand groups, and teams producing hundreds or thousands of creatives use a custom pilot based on validation scope, throughput, video needs, API workflow, and calibration requirements.

No. Kettio changes the order of operations. Your creative team still makes the work, and live media still provides the final truth. Kettio helps the team remove the obvious losers first, learn why the strongest work wins, and spend the test budget on a smaller, better shortlist.