Ecommerce and retail
Your shelf has ninety products and no way to choose between them
Retail catalogues grow by adding products, not by adding columns. Eventually a category holds enough near-identical items that a shopper cannot narrow it, and the field that would have narrowed it is the one nobody was asked to fill in.
Ranked repair list in 48 hoursfrom one category export
The market
What Ecommerce and retail looks like right now
The situation
What usually goes wrong in Ecommerce and retail
What a buyer here is trying to decide: Which of these ninety is the one for me?
A category page where filtering removes almost nothing, because the useful filters do not exist
Completeness reporting that is green while discovery plainly is not working
Attribute schemas set years ago, before the range grew into them
Enrichment quoted as a whole-catalogue project because nobody can say which fields come first
Attribute coverage on a typical Ecommerce and retail catalogue
illustrative of this sector's shape; the measured figures are on the method pageScreen size63%
Memory72%
Storage74%
Processor25%
Red rows are the ones a purchase turns on and the catalogue mostly does not record. Those are the rows an audit surfaces and a coverage report buries.
View as table
| Value | |
|---|---|
| Screen size | 63% |
| Memory | 72% |
| Storage | 74% |
| Processor | 25% |
Where it usually already lives: Most of it is already in your product titles. On the laptop shelf we measured, 161 of 216 missing values were recoverable from text the merchant already owned.
Before and after
The same shelf, once the top gap is closed
Before Pulse
- A buyer asking “Which of these ninety is the one for me?” has no way to narrow this shelf.
- Screen size decides the purchase and is recorded on about 63% of the catalogue, so the filter either does not exist or hides most of your range.
- Enrichment gets quoted as a whole-catalogue project, because nobody can say which field to start with.
After the repair
- The same buyer narrows on Screen size and reaches a shortlist they can choose from.
- Screen size came first on the ranked list, measured against what buyers in this sector actually ask, not against how much data was missing.
- The remaining gaps are still ranked, so the next round of work is already ordered and costed.
Coverage figures illustrate the shape of a catalogue in this sector. The only measured shelf on this site is on the method page.
What happens
What we do about it
Three things, and only the first one needs anything from you.
- 01
Send one category
A CSV or JSON export of a single category. Product name, description, category, price, and whatever attributes you already record.
- 02
We rank what to record first
Every missing attribute scored by how much recording it would change what a buyer in your sector can decide, with the affected products attached.
- 03
You fix it, then we verify
Most of the repair is work your own team can do. When it is done we recompute on the repaired catalogue and show you exactly what moved.
- One category export
- No code
- No tag on your site
- No customer data
Send us one Ecommerce and retail category.
Pick the shelf where you most suspect buyers struggle. You get a ranked list, the affected products, and half an hour with whoever owns merchandising.
A fixed fee, no obligation, and if your catalogue is already fine we will say so.