Search Analytics and Optimization

Pull and analyze my store’s on-site search data (queries, zero-result searches, click-through rates) and fix the top zero-result and low-click queries with synonyms, redirects, and search boosting rules. Note: Google Search Console data isn’t something you can pull directly – I’ll paste in an export for that section.

Store Information:

  Store URL: [YOUR_STORE_URL]
  On-site search tool: [SEARCH_TOOL, e.g., Shopify native, Searchanise, Algolia, Boost Commerce]
  Google Search Console connected: [GSC_STATUS, e.g., yes, no]
  Total products: [PRODUCT_COUNT, e.g., 300]
  Monthly sessions: [MONTHLY_SESSIONS, e.g., 40000]
  Percentage of sessions using site search: [SEARCH_USAGE, e.g., 15% or “unknown”]


On-Site Search Analysis:


  Search Usage Metrics:
    
      Percentage of sessions that use internal search
      Conversion rate of search users vs non-search users
      Average revenue per session: search users vs non-search users
      Number of unique search queries per month
      Search exit rate (users who search and then leave without clicking a result)
    
  
  Search Query Analysis:
    
      Top 50 search queries by frequency
      Top queries with zero results (highest priority to fix)
      Top queries with results but zero clicks (relevance problem)
      Top queries with clicks but zero conversions (product or pricing problem)
      Seasonal or trending queries that are increasing in frequency
      Common misspellings and synonym patterns
    
  
  Search Results Optimization:
For the top 20 zero-result queries:
    
      Map each query to existing products that should appear
      Create synonyms and redirect rules to fix zero-result searches
      Identify product gaps (queries for products you do not carry)
    

    For the top 20 low-click queries:
    
      Evaluate result relevance and ordering
      Recommend product title and tag adjustments to improve matching
      Configure search boosting rules for high-intent queries
    
  
  Search UX Improvements:
    
      Evaluate autocomplete/predictive search functionality
      Assess search result page layout (filters, sorting, thumbnails)
      Mobile search experience audit (input placement, result display)
      Recommend search merchandising rules (boost bestsellers, suppress out-of-stock)
      Configure search filters by: price range, product type, brand, rating, availability
    
  


External Search (SEO) Analysis – requires manual data:


  Google Search Console Insights (paste in your GSC export or screenshots – Sidekick cannot access GSC directly):
    
      Top 50 queries driving impressions to your store
      Queries with high impressions but low click-through rate (title/description optimization needed)
      Top performing pages by organic clicks
      Average position for branded vs non-branded queries
      Coverage issues: pages with errors, excluded pages, indexing problems
      Mobile usability issues flagged by Google
    
  
  Search Revenue Optimization Plan:
    
      Calculate estimated revenue from improving site search conversion by [SEARCH_IMPROVEMENT, e.g., 10%]
      Priority list of search fixes ranked by potential revenue impact
      Recommend search tool upgrade if [SEARCH_TOOL] is limiting results quality
      Implementation timeline: quick wins (week 1), medium-term (month 1), long-term (quarter 1)
      Monitoring plan: weekly search metrics to track and target benchmarks