Pre-launch ad creative response testing workspace

For

Brand marketers and creative teams producing ad campaigns before media spend

Solves

Ad creatives are launched without knowing how audiences will respond, so weak hooks and drop-off points are discovered only after media money is spent.

Delivers

Reviewer-approved creative response reports with attention, emotion, hook and retention evidence

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce wasted media spend by testing and refining ad creatives before launch.

1. Upload video, banner, social and OOH ad creatives.
2. Test and refine creatives before launch.
3. Generate attention heatmaps showing likely first gaze and missed areas.
4. Score cognitive engagement and attention levels.
5. Track likely viewer sentiment second by second.
6. Benchmark creative performance against industry norms.
7. Compare multiple ad variants side by side.
8. Name what to change, why, and expected impact.
9. Score video hook effectiveness frame by frame.
10. Pinpoint exact drop-off moments.
11. Transcribe video ad audio automatically.
12. Check audio and caption pacing.
13. Propose alternate phrasings for weak script lines.
14. Assess call-to-action clarity and effectiveness.
15. Highlight body messaging and flow issues affecting retention.
16. Generate fast client-ready reports.
17. Run unlimited creative tests.
18. Integrate with Figma and Canva for direct frame testing.

Everything these tools do, in one app

• Creative asset upload Lets users upload ad creatives such as video, banner, social, or OOH assets for analysis.Found in AI Creative Insights by Decode, Predict, HookLens
• Pre-launch creative testing Enables testing and refining of ad creatives before they go live.Found in AI Creative Insights by Decode, Predict, HookLens
• Attention heatmaps Shows where viewers' eyes are likely to land first and what they might miss.Found in AI Creative Insights by Decode, Predict
• Cognitive scoring Quantifies user engagement and attention levels with a score.Found in Predict
• Emotion curves Tracks likely viewer sentiment second by second across a video creative.Found in AI Creative Insights by Decode
• Industry benchmarking Compares a creative's performance against norms or standards for its industry.Found in AI Creative Insights by Decode, Predict
• Variant comparison Evaluates multiple versions of an ad side by side in one view.Found in AI Creative Insights by Decode
• Prescriptive suggestions Names what to change, why, and the expected impact to improve the creative.Found in AI Creative Insights by Decode
• Hook scoring Scores the effectiveness of a video ad's hook frame by frame.Found in HookLens
• Drop-off timing Pinpoints the exact moments when viewers lose interest or drop off.Found in HookLens
• Audio transcription Automatically transcribes the audio content of a video ad.Found in HookLens
• Audio pacing checks Analyzes the pacing of audio and captions in a video ad.Found in HookLens
• Script rewriting Proposes specific alternate phrasings for weak lines in the ad script.Found in HookLens
• CTA clarity assessment Evaluates how clear and effective the call-to-action is.Found in HookLens
• Body retention assessment Highlights messaging and flow issues that affect viewer retention in the body of the ad.Found in HookLens
• Downloadable reports Generates fast, client-ready reports that can be shared with stakeholders.Found in HookLens
• Unlimited testing Allows continuous creative iteration without limits on the number of tests.Found in Predict
• Design tool integration Integrates with Figma and Canva so design teams can test frames directly from their working files.Found in AI Creative Insights by Decode

What goes in, what comes out

The workflow

1. In
   Start with

   Uploaded video, banner, social and OOH ad creatives, campaign brief, target audience definition and brand guidelines

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect uploaded video

4. 3

   Banner

5. 4

   Social and OOH ad creatives plus campaign brief and target audience

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewer-approved creative response reports with attention, emotion, hook and retention evidence

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed ad format and licensed asset set; final creative judgment and media decisions remain with the marketing team. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Creative upload and brief, Analysis workspace, Client-ready report. Use a thumbnail gallery for assets, a large central preview with attention heatmap and emotion curve overlays, and a right-hand panel for scores, suggestions and comments. Let users compare variants side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant frame or line. Make the task-specific outcome reviewer-approved creative response reports visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Brand-owned creative assets, authorized campaign briefs and permitted audience research sources. Cloud asset storage, design-file import/export and advertising platform destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case; first modules: upload video, banner, social and OOH ad creatives; test and refine creatives before launch. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will brand marketers and creative teams producing ad campaigns before media spend use it to solve "ad creatives are launched without knowing how audiences will respond, so weak hooks and drop-off points are discovered only after media money is spent"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted creative revisions per review hour and reduction in post-launch creative corrections.
4. Measure, then decide. Track accepted creative revisions per review hour and reduction in post-launch creative corrections; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed ad format and licensed asset set; final creative judgment and media decisions remain with the marketing team. Implement one approved input format, a bounded representative case set and the first two task modules: upload video, banner, social and OOH ad creatives; test and refine creatives before launch. Support the third module with operator review: generate attention heatmaps showing likely first gaze and missed areas. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved creative response reports. Retain the explicit scope boundary: One fixed ad format and licensed asset set; final creative judgment and media decisions remain with the marketing team.

What the build depends on. Asset upload and preview, asynchronous analysis jobs, editable version history, reviewer access and tested export formats. High-fidelity creative analysis requires specialist marketing QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed ad format and licensed asset set; final creative judgment and media decisions remain with the marketing team.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined creative package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist creative analysis separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved creative response report. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce wasted media spend by testing and refining ad creatives before launch. Demonstrate a concrete reviewer-approved creative response report using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Brand marketers and creative teams producing ad campaigns before media spend professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved creative response report from a small authorized input set, with a transparent calculation of accepted creative revisions per review hour and reduction in post-launch creative corrections and no promised savings.

The first 30 days

1. Week 1: interview five brand marketers and creative teams producing ad campaigns before media spend and inspect a recent example of ad creatives launched without knowing how audiences will respond.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted creative revisions per review hour and reduction in post-launch creative corrections, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted creative revisions per review hour and reduction in post-launch creative corrections. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted creative revisions per review hour and reduction in post-launch creative corrections; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved creative response reports. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved creative patterns, audience response benchmarks and review examples, together with reliable delivery for a narrow marketing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for brand marketers and creative teams producing ad campaigns before media spend. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

AI Creative Insights by Decode, Predict, HookLens, freelancers, creative agencies and generic generation tools. Compare this product with the buyer's present method on accepted creative revisions per review hour and reduction in post-launch creative corrections. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved creative response reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Marketing teams approve substantive changes and publication scope. One fixed ad format and licensed asset set; final creative judgment and media decisions remain with the marketing team. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.