The Resolution Layer  ·  Case Study in BriefEKOM

Mattress and sofa product pages.

A read of a sample of product pages from a furniture and mattress retailer — where the price on the screen, the stars beside it and the data behind the page are meant to say the same thing. One of a set of anonymized EKOM analyses — what surfaced, and where it leads.

Vertical
Furniture and mattress retail
Method
Cold read · 30 product pages in an ordinary browser, nothing supplied
Issues surfaced
5 reported · 1 critical · 1 high · 3 medium
This pass
Read & diagnose
Lead finding  ·  the price shown is not the price in the data
On 6 of the 26 comparable pages, the displayed price matches none of the offers in the page's own product data.
Five of the six are mattresses and one is a sleeper sofa, and the gaps run from $200 to $1,300. On the other 20 pages the price on screen matches an offer in the data to the cent. Either the product data is stale or it publishes a lower price than the store displays, and search engines and shopping listings may show the data price.

Also surfaced

Stars that disagree
On 12 of the 21 pages that show stars and publish a rating, the data differs from the stars on screen, in both directions, the widest by more than two stars.
Copy that errs
About 20 typos and copy errors across the descriptions, another brand's name on one page and a line from another product line on a second.
One name, two sofas
Two pairs of different sofas share one name, a leather and a fabric version each, priced $900 and $2,000 apart.
Product data that cannot be read cleanly
Four of the 30 pages publish no product data, and all 21 multi-offer pages list their offers by product name only.

How EKOM read it. EKOM opened 30 product pages — 15 mattresses across five brands and 15 sofas, sleepers and power sofas — one at a time in an ordinary browser, and read the visible page and the product data inside it. Nothing was supplied. It then checked the price on screen against the price in the data, the stars against the rating in the data, and the copy against itself, and re-read the headline findings afterwards. It is a sample: every share is a share of the 30 pages, or of the pages where a check could run.

From diagnosis to channel-ready. The five findings look like three upstream mechanisms — a product feed updated separately from the price and rating a page displays, manufacturer copy and one-product-per-address records carried in without a check, and a product-data template that names the product but not each offer. Fixing the findings fixes the findings; if the mechanisms are confirmed, fixing them would stop the findings recurring on every page added next. Then the same intelligence can keep watch at intake.

The Resolution Layer
EKOM
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EKOM
Case study — client anonymized