Blendo Makes Google Reviews Integration with Your Data Warehouse Simple

Import your Google Reviews data into your data warehouse with Blendo

Easily load your Google Reviews data into your data warehouse

Google Reviews provide valuable information about your business to both you and your customers. Google Reviews can be an excellent way for companies to highlight their point of difference and to showcase customer experience. By integrating Google Reviews with Blendo, you will be able to analyze ready-to-use analytics-friendly, customer reviews data in your data warehouse, and your BI. Having your Google Reviews data in the same data warehouse as your marketing, support, and product data will help you get a holistic understanding of your business performance. Drill down to your data from customer reviews, web searches, understand which are your most profitable acquisition channels and what it means from your customer success.

The Benefits of Google Reviews ETL for your Data Infrastructure

It can take months to build a comprehensive data infrastructure for digital analytics.

Build a data infrastructure up and running in minutes with Blendo as your Google Reviews ETL tool and no technical effort.

Data monitoring is complicated and a waste of valuable time to build from scratch.

Save hours per day for pulling and modeling data. Blendo provides you with analytics-ready data in your data warehouse so you can focus on building a comprehensive view of your business.

Accurate, up-to-date metrics and business dashboards are paramount to success.

Get accurate data with fault-tolerant architecture that helps you get your Google Reviews data consistently to your data warehouse and BI tool with no loss.

The Benefits of Google Reviews ETL for your Business Intelligence

Poor or outdated data is not an option for driving the next generation of analytics analysis and engagement.

Use your business data as a true strategic advantage and improve data quality by automating data acquisition and zeroing maintenance. Blendo integrates with major business intelligence software solutions, such as Sisense, Looker, Chartio, and Tableau, so you can easily and quickly integrate whatever business intelligence tool you use.

Missing data sources do not provide the full picture of your business.

Have all data sources available for your analytics team to understand the factors that affect your business metrics like churn. Integrate all your data sources at once with zero maintenance or effort.

Google Reviews Integration Use Cases

Once Blendo connects your Google Reviews data to your data warehouse, here are some ways you can use it.

Query analytics-ready customer reviews data

Import your customer reviews data into your data warehouse, or select only the resources you need. Get analytics-ready data into your data warehouse with the click of a button and without any scripting or coding.

Business Intelligence from reviews and website activity

Analyze your reviews data as they come in your BI. Tie in data from analytics that can track visits from your listings, appointment links, or posts. Understand how they interconnect with each other and build a strategy for improving your business.

Reviews and revenue

See how reviews affect revenue over time. Did your recent review campaign generate reviews that in turn created new customers?

How to get started with your Google Reviews data integration

Getting started is easy. First, connect a data warehouse as a Destination. Then, add Google Reviews as a Data Source. Blendo will import any information from your Source and load it into your data warehouse. We do the heavy lifting so you can focus on building your product and amazing your customers.

Connect data warehouse as Destination

Connect Google Reviews as Data Source

We will load all your Google Reviews data to data warehouse

Detailed documentation

If you have any issues whatsoever with your Google Reviews integration, Blendo is here to help! We provide detailed documentation on setting up your integration and troubleshooting.

View the documentation