A complete reference of what the platform measures, how it measures it, and the situations brands and agencies use it for. Bookmark this page.
Each dimension is its own engineered prompt running through specialised models. Outputs are normalised against category benchmarks so a 4.2 in beverage means the same as a 4.2 in fintech.
Will a viewer understand what's being sold and why it matters within the first three seconds?
How distinctive is the creative against category conventions and competitor templates?
Does it move the viewer — and does that emotion translate into intent to act?
Is the opening frame strong enough to stop the scroll? Does composition support comprehension?
Are colours, logo, voice and characters unmistakably yours — even with the brand name removed?
When endorsers or mascots are present, do they reinforce or compete with the brand message?
A weighted composite score predicting how the ad will perform against its stated objective.
How quickly and confidently can a viewer identify the advertiser without seeing the logo?
Right-brain emotional cues versus left-brain rational cues — calibrated to the category and objective.
Is the format optimised for the channel? Aspect ratio, sound-off legibility, captioning, pacing.
Awareness, consideration, conversion — is the creative actually built for the funnel stage you booked it for?
Estimated click-through performance and a head-to-head comparison against category benchmarks.
Regulatory red-flags, platform policy risk, and brand-safety issues — caught before launch, not after.
Every audience study covers eight standard human-rated dimensions — paired with up to four custom screener questions of your own.
Did the audience grasp the offer in the first impression — and could they recall it accurately?
What feelings did the ad provoke? Likeable? Annoying? Inspiring? Forgettable?
After viewing, can respondents correctly attribute the ad to the brand?
Did exposure to the creative move stated intent to consider, try or buy?
Does the creative feel ownable to the brand, or could it just as easily be a competitor's?
On a scale, how likely is this ad to convert someone who doesn't already use the product?
For the targeted demographic — does this ad feel like it speaks to them or talks past them?
Did anything in the ad feel misleading, inappropriate, or off-brand to real viewers?
Templates and configurations for the most common ad-testing scenarios — pre-loaded so you don't have to build the survey from scratch every time.
Compare 2-5 concepts side-by-side. Identify the winner before you invest in production. The bread-and-butter use case.
Match each creative to its best channel. Get audience-targeting recommendations grounded in real respondent data.
Test long-term brand-building creative for distinctiveness, recall and emotional fit — not just performance metrics.
GOTV, fundraising, message testing, endorsement strategy. Pinpoint which creative moves which voter — before the airtime.
Test variations of the same claim to find the framing that resonates most with the audience that matters.
Pick the spokesperson, athlete, or partner brand your audience already trusts — backed by data, not hunches.
Workspace, team, and reporting features that make AdTest.AI usable across an agency or in-house brand team.
Per-workspace billing, project sharing, role-based access. Invite agency colleagues or client-side stakeholders.
Branded multi-page PDFs for client decks. Score visualisations, dimension breakdowns, recommended actions.
Project-isolated storage. Creative never used to train models. Deletion on request, full audit trail.
USD, GBP, EUR — pick your billing currency. Local pricing, local tax handling at checkout.
Test creative in dozens of languages and markets. Audience studies configurable per country, age, demographic.
Email and chat support staffed by people who actually know research. No tier-1 scripts, no ticket queues.
14 days. No credit card. 5 AI Test credits included. The fastest way to evaluate whether the platform fits your workflow.
