Databases
Marketing Analytics

How to load data from Amazon Ads to MongoDB

Learn how to use Airbyte to synchronize your Amazon Ads data into MongoDB within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Amazon Ads as a source connector (using Auth, or usually an API key)
  2. set up MongoDB as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Amazon Ads

Amazon Advertising, or Amazon Pay-Per-Click (PPC) advertising, is becoming a significant threat to both Facebook and Google's monopoly on the PPC market share. Consumers of all sorts use Amazon to check and compare prices, find new products, begin product searches, and make immediate purchases. Amazon itself claims that 76% of its shoppers use the search bar to find an item, opening the door to PPC advertising. This allows sellers and brands to reach a wide range of consumers while they shop, which means they are often already in the buying phase of the consumer journey. With over 300 million active customer accounts, leveraging this powerful advertising channel is undeniably integral to any e-commerce campaign. Not to mention, Amazon is only getting bigger. Amazon Advertising positions your brand ahead of the competition, and your business should be taking full advantage of this platform. Below, we’ve put together a comprehensive guide to further your knowledge and understanding of Amazon Advertising tools, products, and opportunities to equip your brand with the necessary knowledge to maximize its reach and boost results.

What is MongoDB

MongoDB is a database that powers crucial applications and systems for global businesses. Designed for developers and specializing in the areas of open source, software development, and databases, it offers functionality such as horizontal scaling, automatic failover, and the capability to assign data to a location.

Integrate Amazon Ads with MongoDB in minutes

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Prerequisites

  1. A Amazon Ads account to transfer your customer data automatically from.
  2. A MongoDB account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Amazon Ads and MongoDB, for seamless data migration.

When using Airbyte to move data from Amazon Ads to MongoDB, it extracts data from Amazon Ads using the source connector, converts it into a format MongoDB can ingest using the provided schema, and then loads it into MongoDB via the destination connector. This allows businesses to leverage their Amazon Ads data for advanced analytics and insights within MongoDB, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Amazon Ads as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Add Source" button and select "Amazon Ads" from the list of available connectors.
3. Enter a name for the connector and click on the "Next" button.
4. Enter your Amazon Ads credentials, including your access key ID, secret access key, and account ID.
5. Click on the "Test" button to ensure that the credentials are correct and that the connection is successful.
6. Once the test is successful, click on the "Save" button to save the connector and add it to your list of sources.
7. You can now use the Amazon Ads connector to extract data from your Amazon Ads account and integrate it with other tools and platforms.

Step 2: Set up MongoDB as a destination connector

Step 3: Set up a connection to sync your Amazon Ads data to MongoDB

Once you've successfully connected Amazon Ads as a data source and MongoDB as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Amazon Ads from the dropdown list of your configured sources.
  3. Select your destination: Choose MongoDB from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Amazon Ads objects you want to import data from towards MongoDB. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Amazon Ads to MongoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MongoDB data warehouse is always up-to-date with your Amazon Ads data.

Use Cases to transfer your Amazon Ads data to MongoDB

Integrating data from Amazon Ads to MongoDB provides several benefits. Here are a few use cases:

  1. Advanced Analytics: MongoDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Amazon Ads data, extracting insights that wouldn't be possible within Amazon Ads alone.
  2. Data Consolidation: If you're using multiple other sources along with Amazon Ads, syncing to MongoDB allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Amazon Ads has limits on historical data. Syncing data to MongoDB allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: MongoDB provides robust data security features. Syncing Amazon Ads data to MongoDB ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: MongoDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Amazon Ads data.
  6. Data Science and Machine Learning: By having Amazon Ads data in MongoDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Amazon Ads provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MongoDB, providing more advanced business intelligence options. If you have a Amazon Ads table that needs to be converted to a MongoDB table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Amazon Ads account as an Airbyte data source connector.
  2. Configure MongoDB as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Amazon Ads to MongoDB after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
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Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
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Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
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Connectors Used

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Frequently Asked Questions

What data can you extract from Amazon Ads?

Amazon Ads API provides access to a wide range of data related to advertising campaigns on Amazon. The following are the categories of data that can be accessed through the API:  

1. Campaign data: This includes information about the campaigns such as campaign name, start and end dates, budget, targeting options, and bid strategy.  
2. Ad group data: This includes information about the ad groups such as ad group name, targeting options, and bid strategy.  
3. Keyword data: This includes information about the keywords such as keyword match type, bid, and performance metrics.  
4. Product data: This includes information about the products being advertised such as product name, ASIN, and product category.  
5. Performance data: This includes information about the performance of the campaigns, ad groups, keywords, and products such as impressions, clicks, conversions, and cost.  
6. Audience data: This includes information about the audiences being targeted such as demographics, interests, and behaviors.  
7. Inventory data: This includes information about the inventory being advertised such as availability, pricing, and product details.  

Overall, Amazon Ads API provides access to a comprehensive set of data that can be used to optimize advertising campaigns and improve performance.

What data can you transfer to MongoDB?

You can transfer a wide variety of data to MongoDB. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Amazon Ads to MongoDB?

The most prominent ETL tools to transfer data from Amazon Ads to MongoDB include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Amazon Ads and various sources (APIs, databases, and more), transforming it efficiently, and loading it into MongoDB and other databases, data warehouses and data lakes, enhancing data management capabilities.