Pricing and quotation guide
Shopify product upload cost
Two catalogues with the same number of products can cost very different amounts to upload. The difference is almost always in the source data: how complete it is, how consistently it is written and how many variants and images each product has.
This page explains what makes product upload quicker or slower, so you can decide what to prepare yourself and what to pay for.
Illustrative diagram
- ScatteredDetails in many places
- PartialSpreadsheet plus loose files
- Mostly readyOne sheet with gaps
- Import-readyClean, consistent, linked
Data quality matters more than product count
Product count is the obvious measure, but it is a poor predictor on its own. A thousand products in a clean spreadsheet with consistent option names may import in a fraction of the time it takes to enter a hundred products whose details are spread across supplier PDFs, photos and emails.
Before quoting, we look at a sample of your data and place it on a simple readiness scale. That tells us how much cleaning and collecting is needed before the actual upload begins.
What adds effort per product
- Variants
- Every size or colour is a separate row with its own price, SKU and stock, and sometimes its own image.
- Images
- Matching, renaming, cropping or hosting images so they can be imported adds time per image.
- Descriptions
- Pasting supplied text is quick; editing supplier text or writing new descriptions is a separate task.
- Attributes and metafields
- Structured details such as materials or dimensions need entering in specific fields.
- Collections and tags
- Assigning each product to the right collections depends on clear rules from you.
- Data cleaning
- Fixing inconsistent spellings, duplicates and missing values before import.
Costs paid to third parties (separate from our fees)
- Image hosting, if images are not already available online
- Apps used for bulk editing, if needed
- Copywriting or translation by third parties
Any third-party tools or services are paid to those providers; we list them in the quotation if they are needed.
Data readiness levels
| Level | What the data looks like | Effect on effort |
|---|---|---|
| Import-ready | One spreadsheet, consistent columns, image links work | Mainly checking and importing |
| Mostly ready | One spreadsheet with gaps and inconsistent spellings | Cleaning before import |
| Partial | Spreadsheet plus separate image folders and description documents | Matching and assembling data |
| Scattered | Details in supplier files, messages and photos | Collecting data before any upload |
Preparation that reduces the quotation most
Highest impact
- Put all products in one spreadsheet, one row per variant
- Use one spelling for each size and colour
- Name image files with the product SKU
Also helpful
- Mark which products belong in which collection
- Supply final descriptions rather than notes
- Remove discontinued products before sending
How preparation changes effort
Illustrative example — not a client case study
Situation: A homeware seller has around 300 products. Prices are in one spreadsheet, images are in folders named by product name, and descriptions are in a separate document.
- Images are renamed by SKU and matched to rows, which is the largest single task.
- Descriptions are copied into the spreadsheet once the matching is complete.
- Colour names are standardised before the import file is built.
What this shows: Most of the effort went into assembling the data, not importing it. Had images been named by SKU from the start, the job would have been considerably smaller.
One-off upload or ongoing product work
Some businesses upload a catalogue once and add a few products a month themselves. Others receive new ranges every season from suppliers and need the same work repeated. For repeated uploads, the first project sets up the template, naming rules and checks, and later batches cost less because that groundwork already exists.
If you expect regular uploads, mention it in your enquiry. We can plan the first upload so later ones are quicker, for example by keeping a supplier-to-Shopify column mapping that can be reused each season.
Questions about Shopify product upload cost
Do you charge per product or per project?
We quote per project, based on a sample of your data. The quotation shows how the effort was estimated so you can see what preparation would reduce it.
Do variants count as separate products?
They count as additional work, because each variant has its own row of data, but not as separate products.
Is it cheaper to send everything at once?
Usually, because rules and checks are set up once. Staged uploads are still possible if you prefer to launch with part of the catalogue.
Can you estimate from a product count alone?
Only roughly. A short sample of real data is what makes an estimate reliable.
Does writing descriptions double the cost?
Writing is a separate task with its own estimate. Many owners supply descriptions for best sellers and accept supplier text, edited for accuracy, for the rest.
Will future uploads cost the same?
Future uploads are often quicker, because the import template, naming rules and golden sample already exist.
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