Competitor Analysis

Analyze a company's e-commerce presence, product catalog, marketing activity, and sales performance using Particl data.

When to use

When the user wants to research a specific company or brand — their products, pricing, bestsellers, marketing strategy, or overall performance.

Workflow

1. •

   Find the company using search_companies with the company name or domain. This is FREE.

   • •Extract the company_id from the results
2. •

   Get company details using get_company_details with the company_id. Costs 1 credit.

   • •Shows company profile: name, domain, country, vertical, product count, top categories
   • •Check has_product_data — if false, skip product tools (no data available)
3. •

   Discover categories using get_product_types (FREE) to find valid product_type filter values.

   • •Call with no args for root categories, then drill into subcategories with parent_product_type_id
4. •

   Analyze their product catalog using get_company_products with the company_id. Costs 1 credit per product returned.

   • •Default sort is by sales_revenue descending (bestsellers first)
   • •Use page_size to control how many products (default 25, max 100)
   • •Use product_type or keyword filters to narrow by category
   • •Use title_search to search by product name (e.g., 'tank top', 'winter jacket')
   • •Use start_date and end_date to control the sales data window
   • •Paginate with page parameter for deeper exploration
5. •

   Review their marketing using get_company_marketing_assets for emails, social posts, and ads. Costs 1 credit/row.

   • •Filter by asset_types: 'email', 'instagram_post', 'facebook_ads', 'sms', 'homepage_screenshot'
   • •Use get_company_marketing_stats for aggregated engagement metrics (1 credit)
6. •

   Check promotional events using get_company_events for launches, sales, restocks. Costs 1 credit/row.

7. •

   Present findings with:

   • •Company overview (vertical, product count, top categories)
   • •Top products by revenue
   • •Price range analysis
   • •Marketing activity and engagement
   • •Notable patterns (new launches, discounting, promotional events)

Tips

• •Always check credits first with get_credit_balance if doing a large analysis
• •Start with a small page_size (10-15) to get an overview before going deeper
• •Use sort_by: "launch_date" with sort_direction: "desc" to find newest products
• •Use sort_by: "price" to understand pricing tiers
• •Use title_search instead of keyword when searching for product names