Advertising creative testing service
Creative production and experimental interpretation use the same variant taxonomy.
- For
- Performance marketing teams at niche consumer brands
- Solves
- Unstructured creative variations make results difficult to interpret.
- Delivers
- Creative test batches and learning report
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $11,500 for the MVP, $46,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For performance marketing teams at niche consumer brands, turn approved creative, hypotheses and campaign measurements into creative test batches and learning report.
- Isolate creative variables.
- Label variants.
- Preserve offer rules.
- Prepare test batches.
- Import results.
- Document limitations.
What goes in, what comes out
- Approved creative
- Hypotheses
- Campaign measurements
AI drafts, people review. Visual production platform with managed creative review.
- Creative test batches
- Learning report
How it works
The workflow
- InStart with
Approved creative, hypotheses and campaign measurements
- 1
Create a brief
- 2
Upload reference material
- 3
Choose constraints
- 4
Review a small set of directions
- 5
Refine the selected direction
- 6
Request client approval
- 7
Export a versioned delivery pack
- OutFinish with
Creative test batches and learning report
AI does the heavy lifting, people stay in charge
Use language models to interpret briefs and visual models where appropriate to generate or adapt assets. Keep factual attributes in structured fields. Validate dimensions and export formats through deterministic checks. A creative reviewer confirms visual quality and fidelity before delivery.
What your team sees
Key screens: Hypothesis board, variant grid, results view. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. In this product, the first view is hypothesis board, followed by variant grid and results view.
Accounts and administration
Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material.
Integrations and data access
Approved brand material, campaign exports and authorized customer research. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. These are candidate integration categories, not verified supported connectors.
How we build it
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
Scoping call
Day 1Thirty 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
MVP
6 daysOne buyer segment, one recurring use case; first modules: isolate creative variables; label variants. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksRemaining modules: prepare test batches; import results; document limitations. Self-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will performance marketing teams at niche consumer brands use it to solve "unstructured creative variations make results difficult to interpret"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Deliver one real creative brief with a capped asset count and revision allowance.
- Measure, then decide. Track usable variants and interpretable experiments. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Begin with performance marketing teams at niche consumer brands and one recurring use case. Build the first two modules: isolate creative variables; label variants. Provide operator assistance for the third module: preserve offer rules. Deliver creative test batches and learning report through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
After the MVP. After paid pilots establish value, automate the remaining modules: prepare test batches; import results; document limitations. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: isolate creative variables; label variants. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Remaining modules: prepare test batches; import results; document limitations. Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$46,500about 5 weeks of creation time · start with the MVP from $11,500
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $40–$80 | $150–$310 | $190–$390 |
| Full productabout 50 customers | $160–$320 | $2,100–$4,200 | $2,260–$4,520 |
Run it or resell it
For your own team
Performance marketing teams at niche consumer brands run it inside the business: approved creative, hypotheses and campaign measurements in, creative test batches and learning report out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#282791 - accent
#c9a654 - surface
#e5e4f1 - ink
#22201e
- Headings
- Playfair Display
- Text
- Source Sans 3
- Voice
- Energetic, specific, results-minded
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 asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks.
Message to test
Advertising creative testing service for performance marketing teams at niche consumer brands. Creative production and experimental interpretation use the same variant taxonomy. Demonstrate the claim through a controlled creative testing blueprint.
Where to find buyers
Performance marketing communities
Lead magnet
A controlled creative testing blueprint
The first 30 days
- Week 1: interview five prospective buyers in this segment: performance marketing teams at niche consumer brands. Ask to see a recent example of the problem and their current process.
- Week 2: prepare this demonstration using authorized or synthetic material: a controlled creative testing blueprint.
- Week 3: present it through performance marketing communities and seek one narrowly scoped paid pilot.
- Week 4: review usable variants, interpretable experiments, total delivery effort and a concrete renewal decision before increasing scope.
Paid pilot
Deliver one real creative brief with a capped asset count and revision allowance. Compare usable deliverables, reviewer time and client acceptance with the existing production method. For this solution, use approved creative, hypotheses and campaign measurements and evaluate creative test batches and learning report. Agree success thresholds with the buyer before starting; collect a baseline for usable variants, interpretable experiments. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
Success metrics
Usable variants, interpretable experiments
Retention and expansion
Save approved styles and constraints, offer repeat production batches, and expand only into adjacent asset formats the same buyer already commissions.
Why clients would pick it
A reusable library of approved styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. For this solution, build around creative production and experimental interpretation use the same variant taxonomy. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
Alternatives and positioning
Freelancers, creative agencies, generic generation tools and existing design applications. Differentiate on this specific proposed advantage: creative production and experimental interpretation use the same variant taxonomy. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Main delivery costs
Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets.
Safeguards
Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.