Marketing creative fatigue experiment engine
Spend production effort where a tested refresh helps.
- For
- Subscription brands running recurring campaigns
- Solves
- Teams refresh creative without knowing whether fatigue explains changes.
- Delivers
- Analyst-reviewed refresh decision report
- Built in
- about 4 weeks of creation time, MVP in 4 days
- Investment
- $20,500 for the MVP, $50,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Spend production effort where a tested refresh helps.
- Separate exposure cohorts.
- Test bounded refresh hypotheses.
- Compare observed contribution.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- Export a versioned analyst-reviewed refresh decision report with source references and unresolved questions.
What goes in, what comes out
- Approved creative histories
- Aggregate outcomes
AI drafts, people review. Evidence-backed analysis and reporting workspace.
- Analyst-reviewed refresh decision report
How it works
The workflow
- InStart with
Approved creative histories and aggregate outcomes
- 1
Confirm the buyer's problem and scope
- 2
Collect approved creative histories and aggregate outcomes
- 3
Then follow this sequence: 1
- OutFinish with
Analyst-reviewed refresh decision report
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. Do not treat correlation as causation; no automatic campaign edits. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Data and definitions, Pattern investigation, Action and value review. Open with a compact overview and filters for the relevant period or segment. Let users drill from each theme or metric into underlying records. Keep source definitions and missing-data notes near the result. Use an action panel to assign investigations and record what was learned. Make the task-specific outcome analyst-reviewed refresh decision report visible beside its evidence, review state and value baseline.
Accounts and administration
Dataset permissions, field mappings, metric definitions, source drill-down, saved filters, reviewer annotations, recurring reports and action ownership. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Approved brand material, campaign exports and authorized customer research. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
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
4 daysOne buyer segment, one recurring use case; first modules: separate exposure cohorts; test bounded refresh hypotheses. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
5 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
9 daysSelf-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 subscription brands running recurring campaigns use it to solve "teams refresh creative without knowing whether fatigue explains changes"?
- 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. Agree quality and outcome thresholds before the pilot using this measure: Incremental contribution minus new creative and test cost.
- Measure, then decide. Track incremental contribution minus new creative and test cost; 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: Do not treat correlation as causation; no automatic campaign edits. Implement one approved input format, a bounded representative case set and the first two task modules: separate exposure cohorts; test bounded refresh hypotheses. Support the third module with operator review: compare observed contribution. 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 analyst-reviewed refresh decision report. Retain the explicit scope boundary: Do not treat correlation as causation; no automatic campaign edits.
What the build depends on. Stable identifiers, consistent metric definitions, deterministic calculations, source lineage and representative review samples. Poor coverage must remain visible. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: Do not treat correlation as causation; no automatic campaign edits.
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: separate exposure cohorts; test bounded refresh hypotheses. 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
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$50,000about 4 weeks of creation time · start with the MVP from $20,500
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 | $30–$60 | $80–$160 | $110–$220 |
| Full productabout 50 customers | $110–$210 | $880–$1,750 | $990–$1,960 |
Run it or resell it
For your own team
Subscription brands running recurring campaigns run it inside the business: approved creative histories and aggregate outcomes in, analyst-reviewed refresh decision 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
#2f2791 - accent
#c3c954 - surface
#e6e4f1 - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Energetic, specific, results-minded
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 500-2,000 for an initial analysis of one bounded dataset. Offer USD 250-1,000 monthly for repeat reporting at agreed volume. Data cleanup and specialist analysis are separately priced. These are test ranges. Package the initial sale as one bounded analyst-reviewed refresh decision 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
Spend production effort where a tested refresh helps. Demonstrate a concrete analyst-reviewed refresh decision report using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Subscription brands running recurring campaigns professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample analyst-reviewed refresh decision report from a small authorized input set, with a transparent calculation of incremental contribution minus new creative and test cost and no promised savings.
The first 30 days
- Week 1: interview five subscription brands running recurring campaigns and inspect a recent example of teams refresh creative without knowing whether fatigue explains changes.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure incremental contribution minus new creative and test cost, 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: Incremental contribution minus new creative and test cost. 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
Incremental contribution minus new creative and test cost; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs analyst-reviewed refresh decision report. 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
Domain-specific definitions, trusted source mappings and a history connecting findings to actions and observed results. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for subscription brands running recurring campaigns. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Analysts, business intelligence dashboards, spreadsheets and general text summarization tools. Compare this product with the buyer's present method on incremental contribution minus new creative and test cost. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Data preparation, reconciliation, classification, expert interpretation, customer-specific definitions and recurring reporting support. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of analyst-reviewed refresh decision report. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. Do not treat correlation as causation; no automatic campaign edits. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.