Streamline your data management process with the Google BigQuery + Instagram Custom Audiences integration

Google BigQuery is a cloud-based enterprise data warehouse designed to provide lightning-fast SQL queries and interactive analysis of huge datasets. Google BigQuery has machine learning abilities and can process read-only data.

Google BigQuery is cost-effective and easy to scale. It offers a pay-as-you-go cost model. This means you pay according to the amount of data you stored in the service and processed by each query you run. Google BigQuery allows you to use SQL queries to create and test machine learning models. In addition, it is also a managed service that runs automatically, giving you time to focus on other things.

Google BigQuery offers robust monitoring, logging, and alerting. This is done through the Cloud Audits logs. Google BigQuery has the capacity to serve as a repository for logs coming from applications or services through cloud logging. Google Cloud Public Datasets provides an enormous data repository of over 200 popular public datasets from various industries.

Instagram Custom Audiences is a type of audience that you can create starting from your existing customers. You can target ads to the public you've created on Facebook, Instagram and Audience Network.

You can create an Instagram Custom Audiences to reach people who’ve already interacted with your business, or a lookalike audience to reach new people on Facebook who are similar to your most valuable audiences. Thanks to Instagram Custom Audiences, the advertisers can decrease their marketing costs and improve the effectiveness of their campaigns.

Moreover, you can upload, copy and paste or import your customer list in hash format: this data will be used to find the correspondence between the people on your list and the people on Facebook and Instagram.