Pricing and quotation guide
Shopify collection page design cost
Collection page projects have two cost centres: designing and building the template, which is broadly fixed, and preparing the product data and collection structure behind it, which grows with your range and its current state.
This page explains both, so you can see why two stores with similar-looking requests can receive very different quotations.
Illustrative diagram
Collection page project
- Template
- Cards
- Filter panel
- Filters
- Choice
- Setup
- Data
- Standardise values
- Structured fields
- Restructure
- Collections
- Redirects
What drives collection page cost
- Template design
- Product cards, filter panel, sorting and intro layout, designed phone first.
- Filter setup
- Choosing filters and configuring them from product data.
- Data cleanup
- Standardising colours, sizes, types and tags; scales with range size and messiness.
- Collection restructuring
- Merging, splitting or renaming collections, with redirects.
- Custom card features
- Colour swatches on cards, quick add or badges beyond the theme's options.
- Alternative templates
- Different layouts for collections that need them, such as lookbooks.
Costs paid to third parties (separate from our fees)
- Filtering or search apps, if you choose a paid one
- Product photography to make grids consistent
- Paid theme licence, if changing theme
Apps, photography and theme licences are paid to their providers and listed separately.
How the state of your data changes the quotation
| Data condition | Typical cleanup |
|---|---|
| Consistent options and types | Light check only |
| Mostly consistent, some old tags | Remove or standardise tags; quick spreadsheet pass |
| Mixed spellings and formats | Standardise values across the range by import |
| Key details only in descriptions | Extract into structured fields before filtering |
Why we quote data separately
If data cleanup is folded into a single price, either it is underestimated and skipped, or the quotation is padded to cover the unknown. Checking a product export first and quoting cleanup as its own line gives you an accurate figure and the choice of doing some of it yourselves. Many teams prefer to fix data in a spreadsheet themselves once we have set the standard.
For an accurate quotation
Share
- A product export
- Your collection list and menu
- Site search terms if available
Decide
- Which filters matter most
- Whether collections can be renamed
- Who will maintain data afterwards
Are custom card features worth it
Use the theme's card options
Suits you when
- Cards already show image, name and price well
- Products have few options
Watch out for
- Less room to show distinguishing details
Add custom card features
Suits you when
- Colour swatches would save clicks
- Key differences are hidden on cards
- Quick add suits simple products
Watch out for
- Code to maintain through theme updates
- Extra testing across collections
Example: a clothing store with messy colours
Illustrative example — not a client case study
Situation: A clothing store's colour filter lists over thirty values for about ten real colours.
- A product export shows the same colours spelled in several ways.
- Values are standardised by spreadsheet import; the store team fixes some collections themselves.
- The redesigned template adds colour swatches to product cards.
What this shows: Most of the quotation was data work; the template change itself was modest. This example is illustrative.
Restructuring and redirects
If the review suggests merging or renaming collections, the work includes updating menus, collection rules and any links elsewhere on the store, plus redirects from old collection URLs so search results and shared links keep working. It is quoted separately because some stores need none of it and others need a substantial reorganisation.
Where to spend first
If the budget is limited, start with the collections that receive the most visits and sales. Clean their data, set up the most useful filters and improve their cards. Smaller collections often work acceptably with the same template once the data standard is applied. This keeps the first phase focused on the pages that matter most to revenue.
Later phases can extend cleanup across the rest of the range and add custom card features if they prove worthwhile.
Ongoing cost
After the project, the main ongoing cost is keeping new products consistent. If your team follows the product-adding standard, this costs nothing extra. If data drifts, a periodic check, perhaps each season, is cheaper than another large cleanup.
Questions about Shopify collection page design cost
Why does data cleanup cost so much for some stores?
It scales with range size and how inconsistent the data is.
Can we clean the data ourselves?
Yes. We set the standard and check the result, which reduces cost.
Is a filtering app needed?
Often not. Shopify's own tools cover many stores; paid apps suit special requirements.
Do redirects cost extra?
They are part of restructuring work, listed when collections change.
Can one template serve all collections?
Usually, with alternative templates only where a collection needs something different.
Is photography included?
No. If grids look inconsistent because of images, we list which products need new photos.
Can we phase the work by collection?
Yes. Starting with the busiest collections is usually the best use of budget.
Is the data check before quoting charged?
A first look at a product export is part of preparing the quotation.
Does a large range always cost more?
Only for data work. If the data is already consistent, a large range adds little.
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