Overview

Amazon Ads is the advertising division of Amazon, providing tools and services for businesses to promote products, services, and brands. The platform is primarily oriented towards sellers, vendors, and agencies operating within or looking to reach the extensive Amazon customer base. Its core strength lies in its ability to leverage Amazon's proprietary shopping data to deliver targeted advertisements across Amazon.com, its affiliated sites, and a broader network of third-party websites and apps.

The platform encompasses several distinct ad products, including Sponsored Products, Sponsored Brands, and Sponsored Display, which facilitate direct promotion of specific products, brand portfolios, and audience-targeted campaigns, respectively. For more advanced advertisers, Amazon DSP (Demand-Side Platform) offers programmatic access to display and video inventory both on and off Amazon, while Amazon Marketing Cloud provides a secure, privacy-safe environment for advertisers to perform advanced analytics and measure campaign performance using both Amazon's and their own pseudonymized datasets. This integrated suite positions Amazon Ads as a critical tool for e-commerce businesses focused on retail media strategies and direct-to-consumer sales channels.

For technical users and developers, Amazon Ads provides an API that allows for programmatic management of campaigns, ad groups, keywords, and bids, as well as the retrieval of performance reports. This enables automation of advertising workflows, custom reporting, and integration with proprietary or third-party marketing tools. The API supports various programming languages, including Python, Java, PHP, Ruby, and Node.js, making it accessible for a range of development environments. The platform is especially suited for businesses aiming to increase product visibility on Amazon, drive sales for Amazon sellers and vendors, specifically target Amazon shoppers, and build brand awareness within the Amazon ecosystem.

Key features

  • Sponsored Products: Contextual ads for individual products appearing in search results and on product detail pages on Amazon.com, designed to drive sales of specific items.
  • Sponsored Brands: Customizable ads featuring a brand's logo, a custom headline, and multiple products, directing shoppers to a Store page or custom landing page on Amazon. Designed to build brand awareness and drive discovery of product portfolios.
  • Sponsored Display: Programmatic display ads that reach relevant audiences on and off Amazon based on shopping signals, allowing for remarketing to viewers who saw products but didn't purchase, or targeting audiences interested in specific categories.
  • Amazon DSP (Demand-Side Platform): A self-service or managed-service programmatic advertising platform that enables advertisers to programmatically buy display, video, and audio ads on Amazon sites and apps, and on third-party publishers' sites and apps.
  • Amazon Marketing Cloud (AMC): A secure, privacy-safe clean room solution where advertisers can perform advanced analytics across Amazon Ads and their own pseudonymized datasets. It facilitates custom attribution, audience insights, and campaign optimization without sharing raw data.
  • Advertising API: Provides programmatic access for managing campaigns, retrieving performance data, and automating advertising tasks across various ad types. Developers can use the Amazon Ads API documentation for integration details.
  • Detailed Reporting: Access to performance metrics, including impressions, clicks, sales, and advertising cost of sales (ACOS), enabling optimization of campaigns.
  • Budget and Bidding Controls: Flexible options for daily or campaign budgets, with various bidding strategies available to optimize for different objectives.

Pricing

Amazon Ads operates on a pay-per-click (PPC) auction model, where advertisers bid on keywords or audiences, and only pay when a customer clicks on their ad. There is no minimum spend requirement, making the platform accessible to businesses of varying sizes. Ad costs are determined by competitive bids and ad relevance.

Amazon Ads Pricing Model (As of June 2026)
Model Description Minimum Spend
Pay-Per-Click (PPC) Advertisers bid on placements; charges incurred only when an ad is clicked. None
Auction-based Ad placements are determined by a real-time bidding system. None
Self-service platform Advertisers directly manage campaigns, budgets, and bids. None

For specific details on budget options and billing, refer to the Amazon Ads billing and payments help page.

Common integrations

Amazon Ads offers various integration points, primarily through its API, allowing for connection with a range of marketing and data platforms. The API provides programmatic control over campaigns and data retrieval, making it suitable for custom integrations and third-party tools.

  • E-commerce Platforms: Integration with platforms like Shopify can streamline product data synchronization and ad campaign creation, though direct official integrations are typically via third-party apps or custom development using the Shopify Admin API to manage product listings.
  • Business Intelligence (BI) Tools: Data can be extracted via the Amazon Ads Reporting API for analysis in tools like Tableau or custom dashboards, providing insights into campaign performance.
  • Customer Relationship Management (CRM) Systems: While direct CRM integration is less common, data from Amazon Marketing Cloud can provide audience insights that inform CRM strategies, potentially integrated via custom data pipelines leveraging Amazon's API.
  • Data Warehouses: Performance data can be ingested into data warehouses (e.g., Amazon Redshift, Snowflake) for consolidated reporting and advanced analytics.
  • Marketing Automation Platforms: Data can inform broader marketing automation efforts, though direct, off-the-shelf integrations are less prevalent than custom API connections.

Alternatives

  • Google Ads: A comprehensive advertising platform for search, display, video, and app campaigns across Google's network, effective for driving traffic and sales beyond Amazon.
  • Meta for Business: Offers advertising solutions for Facebook, Instagram, Messenger, and Audience Network, enabling detailed audience targeting based on social and demographic data.
  • Walmart Connect: Walmart's retail media platform, providing advertising opportunities on Walmart.com and its associated properties, similar to Amazon Ads but focused on the Walmart ecosystem.

Getting started

To interact with the Amazon Ads API, you typically need to obtain credentials (Client ID, Client Secret, Refresh Token) and set up an HTTP client to make authenticated requests. The following Python example demonstrates how to retrieve a list of sponsored products campaigns using the Amazon Ads API. This example assumes you have already obtained a valid access token through the OAuth flow for your Amazon advertising account. For full details on authentication and API usage, consult the Amazon Ads API documentation.


import requests
import json

# Replace with your actual credentials and access token
CLIENT_ID = "YOUR_CLIENT_ID"
CLIENT_SECRET = "YOUR_CLIENT_SECRET"
REFRESH_TOKEN = "YOUR_REFRESH_TOKEN"
ACCESS_TOKEN = "YOUR_ACCESS_TOKEN" # This should be dynamically obtained using refresh token
PROFILE_ID = "YOUR_PROFILE_ID" # Found in API response after authentication

# API Endpoints
TOKEN_URL = "https://api.amazon.com/auth/o2/token"
BASE_URL = "https://advertising-api.amazon.com/api/v2"

def refresh_access_token(client_id, client_secret, refresh_token):
    headers = {'Content-Type': 'application/x-www-form-urlencoded'}
    data = {
        'grant_type': 'refresh_token',
        'client_id': client_id,
        'client_secret': client_secret,
        'refresh_token': refresh_token
    }
    try:
        response = requests.post(TOKEN_URL, headers=headers, data=data)
        response.raise_for_status() # Raise an HTTPError for bad responses (4xx or 5xx)
        token_data = response.json()
        return token_data.get('access_token')
    except requests.exceptions.RequestException as e:
        print(f"Error refreshing token: {e}")
        return None

# Example: Get Sponsored Products Campaigns
def get_sponsored_products_campaigns(access_token, profile_id):
    headers = {
        'Content-Type': 'application/json',
        'Authorization': f'Bearer {access_token}',
        'Amazon-Advertising-API-ClientId': CLIENT_ID,
        'Amazon-Advertising-API-Scope': str(profile_id)
    }
    
    campaigns_url = f"{BASE_URL}/sp/campaigns"
    
    try:
        response = requests.get(campaigns_url, headers=headers)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.HTTPError as e:
        print(f"HTTP error occurred: {e.response.status_code} - {e.response.text}")
        return None
    except requests.exceptions.RequestException as e:
        print(f"Error fetching campaigns: {e}")
        return None

if __name__ == "__main__":
    # In a real application, you would store and retrieve the refresh token securely
    # and refresh the access token only when it expires.
    # For this example, we assume ACCESS_TOKEN is already valid or refresh it.
    
    # If ACCESS_TOKEN is expired or invalid, uncomment and use:
    # ACCESS_TOKEN = refresh_access_token(CLIENT_ID, CLIENT_SECRET, REFRESH_TOKEN)

    if ACCESS_TOKEN:
        print("Fetching Sponsored Products campaigns...")
        campaigns = get_sponsored_products_campaigns(ACCESS_TOKEN, PROFILE_ID)
        if campaigns:
            print(json.dumps(campaigns, indent=2))
        else:
            print("Failed to retrieve campaigns.")
    else:
        print("No access token available. Please ensure CLIENT_ID, CLIENT_SECRET, REFRESH_TOKEN, and PROFILE_ID are correctly set.")

Before running this code, ensure you replace YOUR_CLIENT_ID, YOUR_CLIENT_SECRET, YOUR_REFRESH_TOKEN, YOUR_ACCESS_TOKEN, and YOUR_PROFILE_ID with your actual Amazon Ads API credentials. The PROFILE_ID is specific to the advertising account you are managing and is obtained during the OAuth authentication process. This script provides a basic framework; robust applications should incorporate proper error handling, token refresh logic, and secure credential management.