Sync data from
PostgreSQL to Google Analytics
Connect your data from PostgreSQL to Google Analytics with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
01
Add your source and destination
Connect to 15+ data sources, like PostgreSQL, and 140+ destinations, like Google Analytics.
Connect
Log in
02
Define your model
Use SQL or select an existing dbt or Looker model.
03
Sync your data
Define how fields from your model map to Google Analytics, and start syncing.
email
email
name
name
total_orders
all_orders
last_login
last_login
Model your PostgreSQL data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Looker
Query using looks. Hightouch turns your look into SQL and will pull from your source.
SQL Editor
Create and Edit SQL from your browser. Hightouch supports SQL native to PostgreSQL.
Table Selector
Select available tables and sheets from PostgreSQL and sync using existing views without having to write SQL.
Customer Studio
For less technical users, pass traits and audiences from PostgreSQL using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate PostgreSQL and Google Analytics using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Google Analytics). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Send Firebase app and gtag.js events from your warehouse
Create and send custom events with event data straight from your data warehouse
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What is Operational Analytics & Why You Should Use It
Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.
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This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
Austin Hay
Head of Marketing Technology
•
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Your data is always secure
SOC 2 Type 2 compliant
Your data stays secure, available, and confidential. To see our report, .
GDPR compliant
If you’re in the EU, your data is only processed on EU data centers.
HIPAA compliant
Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.
CCPA compliant
To see our DPA (Data Processing Addendum), .
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increase in return on ad spend
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improvement in email engagement
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lift in customer acquisition