When do you need a custom Shopify app?
A custom app fits when public apps cannot support your workflow, data model, or brand experience.
- Admin workflow
- Storefront experience
- Custom data and automation
We clarify scope, pricing, launch, integrations, and maintenance before development starts.
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published apps
3
starter packages
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language support
Before pricing an app idea, we separate business goals, merchant flows, and technical risk.
A custom app fits when public apps cannot support your workflow, data model, or brand experience.
Basic, Pro, and Enterprise are starting packages. Final scope depends on integrations, screens, and launch needs.
An app idea, target user, example store flow, integration list, and launch target are enough for the first scope.
API permissions, App Store requirements, and theme compatibility are handled from the first planning step.
Yes. Permissions, copy, privacy pages, test store flow, and merchant onboarding are prepared.
Storefront UX is prepared with widgets, snippets, or theme app extensions depending on the theme structure.
Data flows are planned and tested with Shopify Admin API, webhooks, and third-party APIs.
Performance, issue monitoring, and new feature planning are tracked after the app goes live.
Yes. Critical issues, Shopify API changes, performance, and small improvements can be covered by maintenance.
We review code, theme impact, API limits, and user complaints to prepare an improvement plan.
Send a short message and we will help simplify the technical scope.
Short answers to the technical, commercial, and launch questions merchants ask before starting.
All FAQWe clarify the business goal, user flow, data sources, and Shopify API needs first. Then we define the MVP scope, design flow, development plan, and launch steps.
A custom app makes sense when standard apps cannot support your workflow, pricing logic, ERP connection, post-purchase process, or branded merchant experience.
Yes. We plan app requirements, test cases, privacy content, permission scopes, and launch preparation from the beginning.
We use direct answers, FAQ sections, structured data, internal links, source signals, and technical metadata so Google and AI answer engines can understand the site.