Many of our clients use Noibu as a monitoring tool to oversee the overall health of their eCommerce site, particularly after releases that affect specific page types like the checkout, product pages, or login forms. It's useful to know how many errors are occurring on a specific type of webpage, and that's where the Page Types column comes in. To populate this column, OpenAI analyzes the issue’s Top URLs and classifies them by a set of standardized page types.
Noibu sorts pages into seven categories:
- Checkout: Any page involved in the checkout process, including pages where the shopper enters shipping and billing information, enters payment details, or reviews their purchase.
Collection: Describes product listing pages, pages that list a collection of products, typically organized by brand, theme, or feature.
- Example: A page on an online clothing store that lists all men’s shirts.
- Home: The eCommerce site’s primary landing page.
- Login: The eCommerce site’s primary login page.
- Product: A page that showcases a single product, and includes the option for a shopper to add the product to their cart. This may be known as a product display page (PDP).
- Search: Any page that presents search results based on user queries or keywords, including advanced search forms and results.
- Other: Miscellaneous pages like a blog, careers page, FAQ, terms and conditions, policies, and the help center.
With this addition, you can use the Funnel or All Issues table to optimize specific page types by pulling a list of issues that occur on those page types. Click on a page type tag to filter the table by issues that include that tag, or open the filters menu and check the page type you’d like to hone in on. Through the filters menu, you can select multiple page types to filter the list with an OR search.
You can also use page types as a release monitoring step. Say you’ve released an update that affects your product profile pages. Once the update is deployed, open the All Issues table and filter for issues that occur on the Product page type, with appearances since the release. This will give you a sense of how many new issues the release has created, and aid you in resolving those issues before they create significant revenue loss.