In today’s data-driven business landscape, integrating your tools can make all the difference. Connecting Google Analytics to Salesforce is a powerful way to streamline processes and enhance decision-making.
This blog will guide you through the advantages of this integration and provide detailed methods to achieve it using Coefficient, Zapier, and Stitch.
Advantages of Connecting Google Analytics to Salesforce
Enrich lead and customer data: Combine website behavior data from Google Analytics with Salesforce records for a more complete view of your leads and customers.
Optimize sales and marketing efforts: Use Google Analytics data to identify high-value leads and target them with personalized sales and marketing campaigns.
Measure campaign effectiveness: Track the impact of your marketing campaigns on lead generation and revenue by combining Google Analytics and Salesforce data.
Connect Google Analytics to Salesforce: 3 Methods
Connecting Google Analytics to Salesforce gives businesses a complete view of their customers’ journeys, from website visits to sales. Different solutions allow marketers and sales teams to analyze data, automate processes, and make informed decisions.
Solution
Best For
Coefficient
Spreadsheet users seeking to combine Google Analytics and Salesforce data for a holistic view of the customer journey, enabling analysis and enrichment of lead and opportunity records.
Zapier
Companies looking to automate specific actions based on Google Analytics data, such as triggering follow-up emails or updating Salesforce records when certain events occur on their website.
Stitch
Businesses that need ETL (Extract, Transform, Load) capabilities that ensure data integrity and consistency across platforms.
How to Connect GA4 to Salesforce
Method 1: Coefficient – No-Code, User-Friendly
Coefficient connects your spreadsheet to all your business data without a single line of code. It provides a user-friendly interface and automatic data updates, making it a reliable option for both technical and non-technical users.
Pros:
Simple, no-code setup
Automatic data updates
Affordable pricing plans
Cons:
Scheduled automations are not free forever
Connecting Google Analytics to Salesforce with Coefficient
Step 1. Install Coefficient
For Google Sheets
Open a new or existing Google Sheet, navigate to the Extensions tab, and select Add-ons > Get add-ons.
In the Google Workspace Marketplace, search for “Coefficient.”
Follow the prompts to grant necessary permissions.
Launch Coefficient from Extensions > Coefficient > Launch.
Coefficient will open on the right-hand side of your spreadsheet.
For Microsoft Excel
Open Excel from your desktop or in Office Online. Click ‘File’ > ‘Get Add-ins’ > ‘More Add-Ins.’
Type “Coefficient” in the search bar and click ‘Add.’
Follow the prompts in the pop-up to complete the installation.
Once finished, you will see a “Coefficient” tab in the top navigation bar. Click ‘Open Sidebar’ to launch Coefficient.
Step 2. Importing Google Analytics Data
Click ‘Import from…’
Scroll down and select Google Analytics 4 (GA4) as your data source.
Note: When you begin a GA4 import for the first time, you will need to connect/authorize Coefficient to access your Google Analytics 4 data.
Follow the prompts to grant Coefficient access to your Google Account.
Start your GA4 export to Excel by clicking ‘Start From Scratch.’
Step 3: Define Which Data to Import
Select the GA4 property you want to import from the Import Preview window.
Click ‘Next’ to continue.
The Import Preview window shows a sample of the data from the fields you select.
Click inside the white box area for each section to search for the fields you need to export to Excel.
You can also customize your import by adding filters, sorts, or limits as needed. The sample data will be updated based on what customizations are added.
Click the ‘Import’ button in the top right corner.
Your GA4 export to Excel will appear in your spreadsheet.
Step 3. Export Data from Your Spreadsheet to Salesforce
Before starting, make sure you’ve connected to Salesforce.
Note: Coefficient will automatically map the fields for you if the data in the sheet came from an import from Salesforce using Coefficient.
Next, select the Salesforce Object you want to export data to, e.g., “Opportunity”, “Contacts”, etc.
Then, select the type of action you want to perform—Update, Insert, Upsert, or Delete.
Step 5: Map Fields
Map the fields from your spreadsheet to the corresponding Salesforce fields.
Note: If you imported data from Salesforce into your spreadsheet previously, Coefficient will auto-detect and map these fields.
(Optional) Specify additional settings such as batch size, whether to export empty cells on an update, and the column for results.
Note: Batch size is capped at 10,000 rows due to Salesforce API limitations.
Step 7: Select Rows to Export
Confirm your settings and click “Export”.
Then, highlight the rows you want to update or export. You can choose to export all rows or specific rows.
After you’re finished, review your settings and click “Export.”
Follow the prompts to confirm your changes.
In a few seconds, data from your spreadsheet will push to Salesforce.
Your spreadsheet will display updated records, along with their export status and the date/time stamp of the update.
Method 2: Zapier
Zapier is an automation tool that connects thousands of apps, including Google Analytics and Salesforce, for easier task management. Zapier is particularly useful for automating repetitive tasks.
Pros:
Easy to use
No coding required
Integrates with thousands of apps
Cons:
Limitations with complex workflows
Premium plans needed for advanced features
Connecting Google Analytics to Salesforce with Zapier
Create a Zapier account: If you don’t already have one, sign up at Zapier.
Log in: Access your account by logging in.
Start creating your automation: Click on “Make a Zap” to begin the process.
Choose Google Analytics as the trigger app: Search for Google Analytics in the trigger app search bar.
Select the trigger event: Choose an event like “New Goal Completion” that will initiate the Zap.
Connect your Google Analytics account: Follow the prompts to log in to your Google Analytics account and authorize Zapier to access your data.
Configure the trigger settings: Specify the account, property, and view you want to use, and any additional settings like goal name or value.
Choose Salesforce as the action app: Search for Salesforce in the action app search bar.
Select the action event: Pick an action such as “Create/Update a Record” that will occur in Salesforce when the trigger event happens.
Connect your Salesforce account: Log in to your Salesforce account and authorize Zapier to access it.
Configure the action settings: Map the fields from Google Analytics to the corresponding fields in Salesforce. For example, map the goal name to a custom field in Salesforce.
Method 3: Stitch
Stitch is an ETL (Extract, Transform, Load) service ideal for teams needing robust data integration capabilities, particularly for analysts and BI teams.
Pros:
Supports multiple data warehouses
Automated data pipeline
Incremental data updates
Cons:
Requires developer setup
Subscription cost for advanced features
Connecting Google Analytics to Salesforce with Stitch
Navigate to the data sources page: Go to the “Data Sources” section in your Stitch dashboard.
Select Google Analytics: Find and select Google Analytics from the list of available data sources.
Authorize the Google Analytics connection: Follow the prompts to log in to your Google Analytics account and authorize Stitch to access your data.
Select the data you want to replicate: Choose the specific data sets, like sessions, users, or goal completions, that you want to replicate to your data warehouse.
Set up a destination data warehouse: Choose your destination data warehouse, such as Amazon Redshift, Google BigQuery, or Snowflake. Follow the prompts to connect Stitch to your data warehouse.
Add Salesforce as a data destination: Navigate to the “Destinations” section and select Salesforce.
Map the Google Analytics data fields to the corresponding Salesforce fields: Use the mapping interface to align fields from Google Analytics with the appropriate fields in Salesforce. For example, map session data to a custom object in Salesforce.
Connect Google Analytics to Salesforce with Coefficient
Connecting Google Analytics to Salesforce can transform your data management processes, enhance marketing efforts, and provide valuable customer insights. Whether you choose Coefficient, Zapier, or Stitch, each method has its strengths tailored to different needs and technical skills.
Ready to streamline your data integration and improve your business processes? Try Coefficient today by visiting Coefficient.io.
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Hannah ReckerGrowth Marketer
Hannah Recker was a data-driven growth marketer before partying in the data became a thing. In her 12 years experience, she's become fascinated with the way data enablement amongst teams can truly make or break a business. This fascination drove her to taking a deep dive into the data industry over the past 4 years in her work at StreamSets and Coefficient.
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