Products Searched - Experro

Products Searched (`product_searched`)

Purpose: Track whenever a user performs a search either from the header search bar or the on‑page search interface. When to Fire: After you receive the search API response, immediately log how many results were returned along with contextual details (search term, location, filters, etc.). Payload Schema:

Field	Type	Description
`search_location`	string	Either `"quick"` (header autocomplete) or `"page"`.
`search_term`	string	The text the user searched for.
`no_of_results`	number	Total number of search results (`searchResponse.Data.total_count`).
`sku`	array of strings	Flat array of all result SKUs.
`search_source`	string	For suggestion clicks, pass the autocomplete category key from the response (e.g., `"popular_search"`, `"recent_search"`).
`used_suggestion`	string	The exact suggestion text the user clicked (e.g., “shirts”, “jeans”).
`facets`	array of objects	Active filters, each `{ field: <string>, value: <string> }`.
`request_id`	string	Unique identifier for the search request (x-request-id from response headers).
`page_depth`	string	Current page number (1, 2, 3, etc.).

Clarification: autocomplete suggestions

search_source: set this to the suggestion category key returned by your autocomplete API for the clicked item (e.g., "popular_search", "recent_search", "category", "search_suggestion", etc.).
used_suggestion: set this to the exact suggestion text the user clicked (e.g., "shirts", "jeans").

Example:

// Assume these variables are populated from your search response and UI state:
const totalCount       = searchResponse.Data.total_count;
const searchTerm       = 'running shoes';
const searchLocation   = 'page'; // or 'quick'
const products         = searchResponse.Data.records;
const selectedFacets   = [{ field: 'size', value: '10' }, { field: 'brand', value: 'BrandX' }];
const requestId        = searchResponse.headers.get('x-request-id');
const currentPage      = 1; // Current page number (1, 2, 3, etc.)

ExpAnalyticsService.trackProductSearched({
  search_location: searchLocation,
  search_term: searchTerm,
  no_of_results: totalCount,
  sku: products.map(item => item.sku),
  search_source: searchSource,
  used_suggestion: usedSuggestion,
  facets: selectedFacets,
  request_id: requestId,
  page_depth: currentPage
});