Google Analytics Add-On: Big Data

We've built an add-on for Google Analytics allowing you to access all of your raw data without lifting a finger. We store, model, and prepare all the data so you're ready for analysis.

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How It Works

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Step 1

Connect Your Account

Step 1 is to connect your Google Analytics 4 property to BigQuery, which enables Google to send hit-level data into a database. Typically we host this database in our cloud-environment, but let us know if you want to use yours!

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Step 2

Wait For Processing

Typically it takes 24 hours after the initial connection. During this time we'll also be working on modeling your data into event, session, and user level tables.

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Step 3

Start Querying

Hookup the database to your favorite BI tool or just start to query the data itself. Either way, all you need to do is connect to the database and you're off!

Making Google Analytics More Powerful

We give you direct access to raw GA data, allowing you to measure the most complex use-cases you can think of.

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How to Connect

Once the database is live, you can use any of the following methods to connect
BI Platform
Use your favorite BI tool to connect to BigQuery. Most tools will be able to connect either via native integration or regular ODBC.
SQL Client
Use a SQL IDE to connect directly to the database via an ODBC connection
ETL Platform
Use an ETL tool to migrate data over into your data warehouse. Common tools like Fivetran make this super easy.
Confused on how this all works? Drop us a line and we'd love to talk you through it.
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Pricing

We're upfront about our pricing. See below how we bill for our product, and reach out if you have any questions!
One-Time Cost
The cost associated with setting up the account and infrastructure

$2,000

Upfront
Includes a training session to ensure you can connect to the DB
Can be done in our cloud environment or yours
Usage Cost
Based on the amount of data being stored and queried. Storage costs are very minimal and not listed here.

$0.20

Per GB Queried
Billed on a monthly basis, based on last month's total usage
Price can go down if higher thresholds are met
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