Feeling stuck with Segment? Say 👋 to RudderStack.
Integrate your Google BigQuery Data Warehouse with Post Affiliate Pro
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to Post Affiliate Pro and all of your other cloud tools.
Easy Google BigQuery to Post Affiliate Pro integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Post Affiliate Pro. With the RudderStack Reverse ETL connection, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Popular ways to use Post Affiliate Pro and RudderStack
Create leads automatically
Automatically create customer records in real time in Post Affiliate Pro when someone signs up.
Trigger campaigns
Enable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.
Easily update user traits
Provide your marketing team with advanced segmentation capabilities by updating user traits in real time.
Frequently Asked Questions
About Post Affiliate Pro
Post Affiliate Pro is a popular affiliate software that helps you create and manage your affiliate programs. It also lets you track your affiliate’s performance, referrals, commissions, record payouts, and boost lead generation efforts.
Post Affiliate Pro automates your entire affiliate program and is a best fit for small to medium-sized businesses that want to start and manage affiliate programs.
About Google BigQuery
Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.
