From “I built it”
to the next customer.
A simple process for deciding what to try, creating the material,
and learning from the response.
Start with one product and one experiment. A useful marketing system helps you make the next decision; it does not need to put your product on every channel at once.
- 01Describe the businessOfferWhat someone gets, what it costs, and why it is useful.
Give it the facts you already know.
Add the product, audience, offer, and first useful moment. Include selected public source text or allow the app to read an eligible public product page. Connect GitHub to import selected source files, or add product screenshots from a prepared test account. Code can describe a feature without proving that it is live.
Add a product brief → - 02Understand before choosingAudienceThe specific people whose problem your product helps solve.
Let the analysis ask better questions.
Within your AI allowance, GrowPlease analyzes the brief and the source material you approve. Answer its questions about customers, pricing, current usage, and constraints. You choose whether to include imported code in that analysis.
Open your workspace to analyze a product → - 03Choose one experimentActivationThe first time a person gets the useful result you promised.
Pick the idea with a clear learning goal.
Review why the recommendation fits, what it costs, how much effort it needs, and what must work first. Set an experiment allowance and turn the choice into a draft. Cost ranges are estimates and recommendations are hypotheses.
- 04Review before creatingBudgetAn upper limit you can afford, not an obligation to spend.
Approve the exact plan.
Review its copy, claims, creative direction, and allowances. You can approve the plan and enable scheduled preparation and reviews together. Choose whether to prepare one concept image and email you when a decision is ready. Nothing is published or launched.
- 05Make the message concreteCreativeThe image, video, and words someone sees in an ad or post.
Create the assets, then share the experiment.
With your permission, autopilot prepares a concept image within the AI allowance and reuses existing assets. Review the result, export the plan, and distribute it yourself through permitted channels. Provider connections depend on availability and account permissions. Live campaign launch and automatic optimization are not available in this release.
- 06Learn and improveCustomer costAcquisition spend divided by new paying customers. Your time and incentives matter too.
Record what people actually did.
Save a short customer observation or update the experiment totals. Autopilot reviews new evidence on your chosen schedule and prepares the next recommended experiment. One check-in covers decisions or obstacles; unchanged results do not trigger repeated AI calls. Product and payment data still need manual updates.