Pricing Guide
Even in the AI tier of ad testing — where no panels get recruited and marginal cost is compute — most vendors still price like enterprise software. DAIVID quotes through sales. Here's what typically shapes that quote, what to pin down on the call, and what the published-price end of the same category looks like.
DAIVID sells AI-predicted creative effectiveness — attention, emotions, recall — to brands, agencies, and platforms, and access is quoted rather than listed. Subscriptions in this tier are typically shaped by annual testing volume, seats, markets, and which predicted metrics and integrations you need. Because predictions don't carry per-test fieldwork costs, the quote is really a packaging decision — which is exactly why it's worth negotiating and worth comparing against published-price options before the call.
What's the effective cost per tested creative at your realistic annual volume? Which metrics are in the base package, and which are premium? Is there a minimum term? What exactly was the model trained and validated on, and can you see the benchmark your scores are relative to? That last one matters across this whole category — it's why we publish our methodology and the entire 76-ad benchmark where anyone can audit it.
When the emotion and recall predictions would genuinely change your edits — brand teams tuning creative for feeling and memorability, platforms and publishers needing effectiveness data at catalog scale — and when enterprise packaging (seats, integrations, support) is a requirement rather than overhead. For that tier comparison, see DAIVID alternatives.
If the decision you make weekly is "which cuts get budget," the deciding metric is attention, and that's priced self-serve with no quote required: $49/month for 20 analyses (about $2.45 per test, $1.60 at Agency volume), packs from $45, up to 8 free credits — Hook Strength, the full attention curve, and the exact drop-off second in minutes, on any finished ad, filmed, designed, or AI-generated. No emotion labels, no recall claims — the scope is deliberately narrow, and the price reflects it.
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DAIVID doesn't publish a public rate card — access runs through a sales conversation, with subscriptions typically shaped by testing volume, team seats, and which predicted metrics you need. Expect enterprise SaaS economics rather than pay-per-test checkout; confirm current packaging directly with them.
Yes — that's the main access split in the AI-testing tier. PreTestAds publishes everything: $49/month for 20 analyses (about $2.45 per test), packs from $45, $399/month for 250 at volume, and up to 8 free credits with no card. Signup to first score takes minutes, no demo call.
DAIVID predicts a broader metric set — attention plus emotional response and recall — packaged for enterprise teams. PreTestAds predicts attention and engagement only, benchmarked against a fully public 76-ad library, priced for screening every cut. Broader diagnosis versus a cheaper, faster gate: match the tool to the decision you actually make.