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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "auditInput": {9 "audit": {10 "audit_id": "fixture-normal",11 "as_of_date": "2026-09-03",12 "marketplace": "US",13 "currency": "USD",14 "source_note": "constructed fixture; no seller data",15 },16 "report": {17 "report_type": "sponsored_products_search_term",18 "start_date": "2026-08-01",19 "end_date": "2026-08-20",20 "conversion_lag_days": 7,21 },22 "product": {23 "vertical": "apparel",24 "asin": "B0FIXTURE01",25 "parent_asin": "B0PARENT01",26 "category": "clothing_shoes_and_jewelry",27 "apparel_segment": "tops",28 "lifecycle": "evergreen",29 "launch_stage": "growth",30 "goal": "profit",31 "price_per_order": 40,32 "non_ad_variable_cost_per_order": 26,33 "listing_status": "ready",34 "featured_offer_status": "active",35 "inventory_status": "in_stock",36 "variation_health": "healthy",37 "variation_theme": "size_color",38 "cross_asin_orders_reviewed": True,39 "variation_inventory": [40 {41 "child_asin": "B0FIXTURE01",42 "size": "M",43 "color": "black",44 "inventory_status": "in_stock",45 "listing_status": "ready",46 "featured_offer_status": "active",47 },48 {49 "child_asin": "B0FIXTURE02",50 "size": "L",51 "color": "black",52 "inventory_status": "in_stock",53 "listing_status": "ready",54 "featured_offer_status": "active",55 },56 ],57 },58 "policy": {59 "target_acos": 0.25,60 "min_clicks_for_action": 10,61 "min_orders_for_winner": 2,62 "min_orders_for_expand": 2,63 "max_clicks_without_order": 15,64 "seasonal_replan_days": 14,65 "high_bid_multiplier_warning": 4,66 "allow_strategic_over_break_even": False,67 "max_bid_change_pct": 20,68 "max_budget_change_pct": 25,69 },70 "rows": [71 {72 "row_id": "exact-winner",73 "campaign_id": "c-1",74 "ad_group_id": "g-1",75 "targeting_text": "women black travel shirt",76 "customer_search_term": "women black travel shirt",77 "advertised_asin": "B0FIXTURE01",78 "purchased_asin": "B0FIXTURE01",79 "match_type": "exact",80 "relevance": "relevant",81 "impressions": 1000,82 "clicks": 50,83 "spend": 20,84 "sales": 120,85 "orders": 3,86 "base_bid": 0.65,87 "daily_budget": 20,88 "placement_adjustment_pct": 20,89 "audience_adjustment_pct": 0,90 "video_adjustment_pct": 0,91 "bidding_strategy": "down_only",92 },93 {94 "row_id": "broad-winner",95 "campaign_id": "c-2",96 "ad_group_id": "g-2",97 "targeting_text": "women travel top",98 "customer_search_term": "women black travel shirt",99 "advertised_asin": "B0FIXTURE01",100 "purchased_asin": "B0FIXTURE02",101 "match_type": "broad",102 "relevance": "relevant",103 "impressions": 800,104 "clicks": 40,105 "spend": 18,106 "sales": 80,107 "orders": 2,108 "bidding_strategy": "fixed",109 },110 {111 "row_id": "converting-over-limit",112 "campaign_id": "c-3",113 "ad_group_id": "g-3",114 "targeting_text": "women casual top",115 "customer_search_term": "women casual black top",116 "advertised_asin": "B0FIXTURE01",117 "purchased_asin": "B0FIXTURE01",118 "match_type": "phrase",119 "relevance": "relevant",120 "impressions": 600,121 "clicks": 30,122 "spend": 30,123 "sales": 80,124 "orders": 2,125 "base_bid": 1.1,126 "daily_budget": 30,127 "placement_adjustment_pct": 50,128 "audience_adjustment_pct": 0,129 "video_adjustment_pct": 0,130 "bidding_strategy": "fixed",131 },132 {133 "row_id": "irrelevant-query",134 "campaign_id": "c-4",135 "ad_group_id": "g-4",136 "targeting_text": "women tops",137 "customer_search_term": "free sewing pattern software",138 "advertised_asin": "B0FIXTURE01",139 "match_type": "broad",140 "relevance": "irrelevant",141 "impressions": 500,142 "clicks": 20,143 "spend": 10,144 "sales": 0,145 "orders": 0,146 "bidding_strategy": "down_only",147 },148 {149 "row_id": "low-evidence",150 "campaign_id": "c-5",151 "ad_group_id": "g-5",152 "targeting_text": "women travel shirt",153 "customer_search_term": "women travel shirt",154 "advertised_asin": "B0FIXTURE01",155 "match_type": "exact",156 "relevance": "relevant",157 "impressions": 200,158 "clicks": 5,159 "spend": 3,160 "sales": 0,161 "orders": 0,162 "bidding_strategy": "fixed",163 },164 ],165 } }166
167# Run the Actor and wait for it to finish168run = client.actor("ysoserious_h/amazon-us-apparel-ppc-decision-auditor").call(run_input=run_input)169
170# Fetch and print Actor results from the run's dataset (if there are any)171print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")172for item in client.dataset(run.default_dataset_id).iterate_items():173 print(item)174
175# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Amazon US Apparel PPC Decision Auditor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: