Tracking Category Browsing

Category pages are often the first meaningful signal in a WooCommerce shopping journey. A shopper may browse running shoes, coffee grinders, or summer dresses without opening a product page or adding anything to the cart. If that behaviour is not captured, Amazon Personalize has less context when it generates recommendations later in the session.

What category browsing should represent

A category browse event should identify the taxonomy context the shopper viewed, for example:

The WooCommerce product category ID and slug.
The full category path, such as shoes/running.
The page type, such as product category, brand archive, or custom collection.
The products displayed on the page, when impression tracking is part of the implementation.

Do not treat a category as a product unless categories are deliberately modeled as items in the Amazon Personalize item catalog. In most WooCommerce implementations, a category browse is a contextual event, while product interactions remain associated with actual product IDs.

Choose the event model before implementing

Amazon Personalize receives real-time interaction data through the PutEvents API. A WooCommerce integration can use a custom event type such as category-view and place the category information in the event properties.

A representative event looks like this:

{
  "eventType": "category-view",
  "eventId": "evt_01JEXAMPLE",
  "sentAt": "2025-01-15T10:30:00Z",
  "properties": "{\"category_id\":\"42\",\"category_slug\":\"running-shoes\",\"category_path\":\"shoes/running\",\"page_number\":1}"
}

The exact event schema must match the dataset group and solution strategy used by the agency. If the interaction schema requires an item ID for the events being used by a recipe, do not assume that a category-only event can be consumed in the same way as a product interaction. Validate the schema and recipe behaviour with a small test dataset first.

Track the category view once per meaningful page view

Fire the event after the category page has loaded and the category context is known. Avoid sending a new event every time a component re-renders, a filter changes state, or an infinite-scroll callback runs unless those actions represent distinct behaviours that you want to analyze.

For example, a WooCommerce theme can expose the taxonomy data in the page markup:

<script type="application/json" id="wc-category-context">
{
  "categoryId": "42",
  "slug": "running-shoes",
  "path": "shoes/running",
  "page": 1
}
</script>

A site-specific tracking layer can then send that context to a secure WordPress endpoint:

const context = JSON.parse(
  document.querySelector('#wc-category-context').textContent
);

fetch('/wp-json/store/v1/personalize-events', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-WP-Nonce': window.personalizeTracking.nonce
  },
  credentials: 'same-origin',
  body: JSON.stringify({
    eventType: 'category-view',
    categoryId: context.categoryId,
    categorySlug: context.slug,
    categoryPath: context.path,
    page: context.page
  })
});

The WordPress endpoint should validate the request, normalize the category values, associate the event with the current anonymous or authenticated user, and forward it to Amazon Personalize using server-side AWS credentials or a controlled integration service. Do not put long-lived AWS access keys in browser JavaScript.

Use stable identity and session values

Amazon Personalize needs a consistent userId and sessionId for useful real-time behaviour. For logged-in customers, use a stable internal customer identifier rather than an email address. For guests, generate a random visitor identifier and store it in a first-party cookie or another consented client-side storage mechanism.

User ID: a stable customer or anonymous visitor identifier.
Session ID: a value that remains constant during the shopping session.
Event ID: a unique identifier used to prevent accidental duplicate processing.
Timestamp: the actual time of the interaction, not the time a queued request is eventually delivered.

When a visitor signs in, define an identity-merging strategy. Changing from an anonymous ID to a customer ID without a plan can split the browsing history across two users. Any identity transition should also respect the site’s consent and privacy requirements.

Category browsing and product impressions are different signals

A category-view event says that the shopper opened a taxonomy context. It does not prove that every product on the page was noticed. Product impressions, product clicks, detail-page views, add-to-cart events, and purchases should remain separate event types with product-level identifiers.

For a category page containing twelve products, an agency might track:

One category-view event for the category itself.
Product impression events only if the business needs impression or ranking analysis.
A product detail-page event when the shopper opens a product.
An add-to-cart event when the shopper adds a product.

Sending twelve product interactions merely because twelve cards were rendered can distort the model. If impression data is required, define whether impressions are sent for all visible products, only products in the viewport, or only products visible for a minimum duration. Apply the same rule consistently across templates and devices.

Capture filters and pagination carefully

Filtered category pages can provide valuable intent, but their event properties need a controlled format. Prefer normalized identifiers over arbitrary query strings:

{
  "category_id": "42",
  "category_slug": "running-shoes",
  "filters": {
    "brand": ["acme"],
    "size": ["10"],
    "price_band": ["100-199"]
  },
  "sort": "price-asc",
  "page_number": 2
}

Do not send unrestricted URLs, customer-entered search text, or personally identifiable values as event properties. Set limits on the number and size of filter values. For infinite scroll, decide whether page two is a separate category-view event or whether it is represented as an update to the original browse context. The decision should match the reporting and modeling objective.

Validate the integration in production-like conditions

Agencies should test more than whether an HTTP request returns a successful response. Verify that:

The event is emitted on standard category templates, custom landing pages, mobile layouts, and cached pages.
Duplicate events are controlled during navigation, hydration, and back-button restores.
Guest, logged-in, and newly identified users receive the expected identifiers.
Category IDs remain stable when names or slugs change.
Consent withdrawal stops collection and queued events are not sent later.
Failures are retried safely without creating duplicate events.
Amazon Personalize receives valid JSON properties and timestamps in the expected format.

Keep a server-side event log with a request ID, event ID, user classification, and delivery status. Exclude raw personal data from that log. A small monitoring report comparing category page views in WooCommerce analytics with accepted category-view events will usually reveal caching, JavaScript, consent, or identity problems quickly.

Use the signal in recommendations without overstating it

Recent category browsing can be useful as a real-time context signal, but it should not automatically override stronger signals such as a purchase, add to cart, or product detail-page view. Start by collecting the event reliably, then evaluate whether the selected Amazon Personalize recipe and schema actually use it as intended.

For many stores, the safest rollout is to record category browsing first, compare recommendation and conversion metrics against a control group, and only then make it part of a production recommendation strategy. This separates tracking quality from recommendation quality and gives the agency evidence for future schema or recipe changes.

Table of contents :