In a fashion store, customers were supposed to filter by color and see the colors as small swatches on the product page. On the front end, that looks like a simple feature. But behind it are two separate data layers that both have to be maintained precisely. If the option is called “Farbe” once and “Farben” another time, the display doesn’t kick in. We built the structure and agreed a clear data rule with the team, so new products display correctly later without help.
The case
To Shopify, “Color”, “Farbe” and “Farben” are three different things. The theme looks for exactly the name that’s been set. If a product deviates from it, the swatch is missing or the filter doesn’t show the product. To the customer, the store then just looks broken.
Two layers, two jobs
| Layer | What for | Where it’s maintained |
|---|---|---|
| Filter | Narrow collections down by color | Custom field on the product |
| Swatch | Choose between colors on the product page | Variant option “Farbe” |
The two are connected but technically separate. If you only maintain one layer, you get either a filter without swatches or swatches the filter doesn’t know about.
What we agreed on
- A fixed name for the variant option, always spelled the same.
- A fixed list of color values, so “dark blue” doesn’t show up once as “Navy” and once as “dark blue”.
- A short guide for the team on how to create new products.
- A deliberate simplification for multicolored items. Not every color combination needs its own swatch. Sometimes the main color is the better choice.
Your takeaways
- Many store features depend on data rules. Filters, swatches and search only work as well as the data behind them.
- Write the rules down. Half a page of instructions saves months of errors when new products are added.
- Same name, every time. A single letter of difference can switch a feature off.
- Simplify where it helps the customer. Perfectly mapping every color combination is rarely necessary.
Do filters or swatches in your store only work sometimes? We find the cause in the data and set rules your team can stick to on its own.