Amazon US Apparel PPC Decision Auditor
Pricing
$1.00 / 1,000 audit findings
Your ads are spending. What should you change—and what should you leave alone? Turn normalized Amazon US apparel PPC data into a reviewable decision list with reasons, risks, and evidence gaps. No Amazon login or automatic ad changes.
You can access the Amazon US Apparel PPC Decision Auditor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
# Set API token$API_TOKEN=<YOUR_API_TOKEN>
# Prepare Actor input$cat > input.json << 'EOF'<{< "auditInput": {< "audit": {< "audit_id": "fixture-normal",< "as_of_date": "2026-09-03",< "marketplace": "US",< "currency": "USD",< "source_note": "constructed fixture; no seller data"< },< "report": {< "report_type": "sponsored_products_search_term",< "start_date": "2026-08-01",< "end_date": "2026-08-20",< "conversion_lag_days": 7< },< "product": {< "vertical": "apparel",< "asin": "B0FIXTURE01",< "parent_asin": "B0PARENT01",< "category": "clothing_shoes_and_jewelry",< "apparel_segment": "tops",< "lifecycle": "evergreen",< "launch_stage": "growth",< "goal": "profit",< "price_per_order": 40,< "non_ad_variable_cost_per_order": 26,< "listing_status": "ready",< "featured_offer_status": "active",< "inventory_status": "in_stock",< "variation_health": "healthy",< "variation_theme": "size_color",< "cross_asin_orders_reviewed": true,< "variation_inventory": [< {< "child_asin": "B0FIXTURE01",< "size": "M",< "color": "black",< "inventory_status": "in_stock",< "listing_status": "ready",< "featured_offer_status": "active"< },< {< "child_asin": "B0FIXTURE02",< "size": "L",< "color": "black",< "inventory_status": "in_stock",< "listing_status": "ready",< "featured_offer_status": "active"< }< ]< },< "policy": {< "target_acos": 0.25,< "min_clicks_for_action": 10,< "min_orders_for_winner": 2,< "min_orders_for_expand": 2,< "max_clicks_without_order": 15,< "seasonal_replan_days": 14,< "high_bid_multiplier_warning": 4,< "allow_strategic_over_break_even": false,< "max_bid_change_pct": 20,< "max_budget_change_pct": 25< },< "rows": [< {< "row_id": "exact-winner",< "campaign_id": "c-1",< "ad_group_id": "g-1",< "targeting_text": "women black travel shirt",< "customer_search_term": "women black travel shirt",< "advertised_asin": "B0FIXTURE01",< "purchased_asin": "B0FIXTURE01",< "match_type": "exact",< "relevance": "relevant",< "impressions": 1000,< "clicks": 50,< "spend": 20,< "sales": 120,< "orders": 3,< "base_bid": 0.65,< "daily_budget": 20,< "placement_adjustment_pct": 20,< "audience_adjustment_pct": 0,< "video_adjustment_pct": 0,< "bidding_strategy": "down_only"< },< {< "row_id": "broad-winner",< "campaign_id": "c-2",< "ad_group_id": "g-2",< "targeting_text": "women travel top",< "customer_search_term": "women black travel shirt",< "advertised_asin": "B0FIXTURE01",< "purchased_asin": "B0FIXTURE02",< "match_type": "broad",< "relevance": "relevant",< "impressions": 800,< "clicks": 40,< "spend": 18,< "sales": 80,< "orders": 2,< "bidding_strategy": "fixed"< },< {< "row_id": "converting-over-limit",< "campaign_id": "c-3",< "ad_group_id": "g-3",< "targeting_text": "women casual top",< "customer_search_term": "women casual black top",< "advertised_asin": "B0FIXTURE01",< "purchased_asin": "B0FIXTURE01",< "match_type": "phrase",< "relevance": "relevant",< "impressions": 600,< "clicks": 30,< "spend": 30,< "sales": 80,< "orders": 2,< "base_bid": 1.1,< "daily_budget": 30,< "placement_adjustment_pct": 50,< "audience_adjustment_pct": 0,< "video_adjustment_pct": 0,< "bidding_strategy": "fixed"< },< {< "row_id": "irrelevant-query",< "campaign_id": "c-4",< "ad_group_id": "g-4",< "targeting_text": "women tops",< "customer_search_term": "free sewing pattern software",< "advertised_asin": "B0FIXTURE01",< "match_type": "broad",< "relevance": "irrelevant",< "impressions": 500,< "clicks": 20,< "spend": 10,< "sales": 0,< "orders": 0,< "bidding_strategy": "down_only"< },< {< "row_id": "low-evidence",< "campaign_id": "c-5",< "ad_group_id": "g-5",< "targeting_text": "women travel shirt",< "customer_search_term": "women travel shirt",< "advertised_asin": "B0FIXTURE01",< "match_type": "exact",< "relevance": "relevant",< "impressions": 200,< "clicks": 5,< "spend": 3,< "sales": 0,< "orders": 0,< "bidding_strategy": "fixed"< }< ]< }<}<EOF
# Run the Actor using an HTTP API# See the full API reference at https://docs.apify.com/api/v2$curl "https://api.apify.com/v2/actors/ysoserious_h~amazon-us-apparel-ppc-decision-auditor/runs?token=$API_TOKEN" \< -X POST \< -d @input.json \< -H 'Content-Type: application/json'Below, you can find a list of relevant HTTP API endpoints for calling the Amazon US Apparel PPC Decision Auditor Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.
https://api.apify.com/v2/actors/ysoserious_h~amazon-us-apparel-ppc-decision-auditor/runs?token=<YOUR_API_TOKEN>Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.
https://api.apify.com/v2/actors/ysoserious_h~amazon-us-apparel-ppc-decision-auditor/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.
https://api.apify.com/v2/actors/ysoserious_h~amazon-us-apparel-ppc-decision-auditor?token=<YOUR_API_TOKEN>For more information, please refer to our Get Actor API documentation.
Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Amazon US Apparel PPC Decision Auditor API programmatically via the Apify API.
You can choose from:
You can start Amazon US Apparel PPC Decision Auditor with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Amazon US Apparel PPC Decision Auditor is identified within the API by its ID, which is the creator’s username and the name of the Actor.
When the Amazon US Apparel PPC Decision Auditor run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.