competitor-analysis
# Competitor Analysis
What this skill does
# 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
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