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Search Results Views

Also known as: Search Results Page Views, SRP Views, View Search Results, Search Page Views

EngagementmetricE-commerce: Product Discovery & Merchandising (Search/Filters/PDP)E-commerce

Counts every load of the search results page (GA4 view_search_results), including pagination, sort, filter and back-button re-views. Site Searches counts submitted queries; this counts results-page exposure.

Business Use Case

1️⃣ Merchandising sees views per search rise for a top term and reworks its ranking so buyers find items on page one. 2️⃣ Product team sees views drop below Site Searches after a search release and fixes the missing results-page tag. 3️⃣ Merchandising uses it as the Search Exit Rate base and reviews the top exiting search terms weekly.

Business Criticality

Medium

Journey / Navigation Area

Discovery

Owning Function

Merchandising

Scope

Event

Formula

COUNT(events WHERE event_name = 'view_search_results' AND event_date IN reporting window)

Calculation Notes

1️⃣ Count every view_search_results event; each pagination step, sort or filter change and back-button reload adds one view. 2️⃣ GA4 enhanced measurement fires it on URLs with a query parameter (q, s, search, query, keyword); register any custom key in stream settings. 3️⃣ Results that re-render without a URL change (SPA/AJAX) do not fire it; push view_search_results from the data layer on every render. 4️⃣ Not a query count: one search browsed across three result pages is 1 Site Search and 3 Search Results Views. 5️⃣ A total below Site Searches points to missing results-page tagging, not low engagement. 6️⃣ Exclude internal and bot traffic (traffic_type) and store locator results, which belong to Store Locator Searches. 7️⃣ Zero-result pages count as views; segment them by search_results_count = 0 instead of excluding them.

Technical Details

Measure TypeCounter
Aggregation WindowDaily, Weekly, Monthly

Events

PlatformEvent
Google Analytics 4view_search_results
Adobesearch:resultsView

Data Mappings

W3 Data Layer
{
  "event": [
    {
      "eventInfo": {
        "eventName": "view_search_results",
        "eventAction": "search_results_view"
      },
      "search": {
        "searchTerm": "wireless headphones",
        "searchType": "product",
        "searchResultsCount": 42,
        "searchMethod": "initial",
        "pageNumber": 1
      },
      "page": {
        "pageInfo": {
          "pageType": "search_results"
        }
      },
      "user": {
        "trafficType": "external"
      }
    }
  ]
}
GA4 Data Layer
{
  "event": "view_search_results",
  "search_term": "wireless headphones",
  "search_type": "product",
  "search_results_count": 42,
  "search_method": "initial",
  "page_number": 1,
  "page_type": "search_results",
  "traffic_type": "external"
}
Adobe Client Data Layer
{
  "event": "search:resultsView",
  "search": {
    "term": "wireless headphones",
    "type": "product",
    "resultsCount": 42,
    "method": "initial",
    "pageNumber": 1
  },
  "page": {
    "type": "search_results"
  },
  "user": {
    "trafficType": "external"
  }
}
XDM Mapping
{
  "eventType": "web.webpagedetails.pageViews",
  "web": {
    "webPageDetails": {
      "pageViews": {
        "value": 1
      }
    }
  },
  "user": {
    "trafficType": "external"
  },
  "_experience": {
    "analytics": {
      "event101": {
        "value": 1
      },
      "customDimensions": {
        "eVars": {
          "eVar10": "search_term",
          "eVar11": "search_type",
          "eVar12": "search_method"
        }
      }
    }
  },
  "search": {
    "term": "wireless headphones",
    "type": "product",
    "resultsCount": 42,
    "method": "initial",
    "pageNumber": 1
  }
}

SQL Queries

Google Analytics 4 (BigQuery)
-- ==========================================
-- 1. GOOGLE BIGQUERY SQL
-- ==========================================
-- Reporting window: trailing 90 complete days
DECLARE start_date DATE DEFAULT DATE_SUB(CURRENT_DATE(), INTERVAL 90 DAY);
DECLARE end_date DATE DEFAULT DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY);

-- Pivot search type and traffic type for every results-page view in the window
WITH results_views AS (
  SELECT
    (SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'search_type') AS search_type,
    (SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'traffic_type') AS traffic_type
  FROM `your-project.analytics_123456789.events_*`
  WHERE _TABLE_SUFFIX BETWEEN FORMAT_DATE('%Y%m%d', start_date) AND FORMAT_DATE('%Y%m%d', end_date)
    AND event_name = 'view_search_results'
)
-- Count every view except internal/bot traffic and store locator results; zero-result views stay in
SELECT
  COUNT(*) AS search_results_views
FROM results_views
WHERE COALESCE(traffic_type, '') NOT IN ('internal', 'bot')
  AND COALESCE(search_type, '') != 'store_locator';
Adobe Experience Platform (AEP Query Service)
-- ==========================================
-- 2. ADOBE AEP QUERY SERVICE SQL
-- ==========================================
-- Reporting window: trailing 90 complete days (same as start_date / end_date in the BigQuery query)
-- Search type and traffic type for every results-page view (event101) in the window
WITH results_views AS (
  SELECT
    search.type AS search_type,
    user.trafficType AS traffic_type
  FROM aep_web_events_dataset
  WHERE timestamp >= CAST(DATE_SUB(CURRENT_DATE, 90) AS TIMESTAMP)
    AND timestamp < CAST(CURRENT_DATE AS TIMESTAMP)
    AND _experience.analytics.event101.value = 1
)
-- Count every view except internal/bot traffic and store locator results; zero-result views stay in
SELECT
  COUNT(*) AS search_results_views
FROM results_views
WHERE COALESCE(traffic_type, '') NOT IN ('internal', 'bot')
  AND COALESCE(search_type, '') != 'store_locator';

Source Data

Digital Analytics (GA4)

Dependencies

Prerequisite: List the dependencies required for this Metric

Events:

site-search

Dimensions:

internal-search-termpage-type

Report Attributes

Internal Search Term Search Type Search Results Count Device Category Traffic Source

Recommended Reporting Views

Views
Site Search PerformanceProduct Discovery & Merchandising

Segment Eligibility

true

Governance

Data SensitivityInternal

Derived KPIs

Governance

Created bydevyendarm
Created on9/25/2026
Last modified bydevyendarm
Last modified on9/25/2026
Version1.0.0
Validation stateqa passed
StatusPUBLISHED

GitHub

View related Pull Requestcatalog/metrics/search-results-views.yml

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