Connect Aweber to Google BigQuery with LeadsBridge
In this article, you'll learn how to set up the bridge and connect Aweber to My CRM Example using LeadsBridge.
How to set up your bridge step-by-step tutorial
Before you start
- Head over to the left sidebar and click on the Create new Bridge green button
- You'll be taken to the first step of the bridge creation
Step 1: Choose the apps you want to connect
- Choose Aweber as the source for your bridge
- Choose Google BigQuery as the destination for your bridge
- Click on the Continue button
- At this point you can choose a name for your bridge (this will only be visible inside LeadsBridge and you can also edit it later)
Step 2: Configure your Aweber with Google BigQuery
Step 2.A: Setup your Aweber integration
- Click on Connect Aweber
- Click on Create new integration to connect your Aweber (or select an existing one from the dropdown if you already connected it)
- A popup wil be opened where you can authorize the Aweber integration
- Click on Authorize and you will be prompted to the Aweber authorization experience
- Here you will need to provide the info required and grant access to LeadsBridge
- Once done, you will be get back to LeadsBridge application
- You can choose a name for this Aweber and LeadsBridge integration (you can also edit it later)
- Once done, click on Continue button and you will get back to the bridge experience where you could choose additional integration settings
- Now that your Aweber is connected, you can continue with the set-up of your bridge
Step 2.B: Setup your Google BigQuery integration
- Click on Connect Google BigQuery
- Click on Create new integration to connect your Google BigQuery (or select an existing one from the dropdown if you already connected it)
- A popup wil be opened where you can authorize the Google BigQuery integration
- Fill GCP Authentication JSON, Dataset name field to connect Google BigQuery with LeadsBridge
- Click on the Authorize button
- You can choose a name for this Google BigQuery and LeadsBridge integration (you can also edit it later)
- Once done, click on Continue button and you will get back to the bridge experience where you could choose additional integration settings
- Now that your Google BigQuery is connected, you can continue with the set-up of your bridge
Step 2.C: Configuration details for Google BigQuery
How to get GCP Authentication JSON, Dataset name
To authenticate in Google BigQuery you need to have the OAuth JSON file for your project with the right roles set. If you don't have this file yet, please follow the official guide below to generate it.
Once downloaded, open the file, select the whole content and paste it into the "GCP Authentication JSON" field. ( Learn more)
Once downloaded, open the file, select the whole content and paste it into the "GCP Authentication JSON" field. ( Learn more)
All the needed data can be found on your Google BigQuery dashboard on the left as shown in the picture below.
In the "Dataset name" field you have to specify the name of the database you want to use in Google BigQuery.
In the "Project ID" field you have to specify your Google Cloud Platform project id.
As entity Google BigQuery uses the single record of your database, so select "Record" from the "Manage "Entities as" dropdown.
As segmentation, you will have to select the database table to use, so select "Table" from the "Use Segment as" dropdown.
In the "Dataset name" field you have to specify the name of the database you want to use in Google BigQuery.
In the "Project ID" field you have to specify your Google Cloud Platform project id.
As entity Google BigQuery uses the single record of your database, so select "Record" from the "Manage "Entities as" dropdown.
As segmentation, you will have to select the database table to use, so select "Table" from the "Use Segment as" dropdown.
Step 2.D: Email Receipt (Optional)
You may choose to receive an email receipt for each incoming lead.
- Type the address(es) where you'd like to receive the receipt
- You may also modify the Subject line of the email
Step 3: Fields Mapping
Here you'll be able to map your Aweber information with your Google BigQuery fields.
- You will have Google BigQuery fields on the left. Match the information you wish to pass align from Aweber
- Based on Google BigQuery functionality, some fields might be required; if this is the case, you can identify those fields with a * (star), so be sure to map all them
- You can also use the functions to customize information like reformatting dates and times or modifying text, phone numbers and so on.
- You may leave blank the box of a field's information you don't want to send through. Clicking on the Show unmapped fields button you will have visibility on all the available fields still not mapped
Step 3.A: Leads Filter (Optional)
If you'd like you could add a filter for incoming leads. This filter will sync only leads that meet the configured conditions
- Click on the link Add Filter for Incoming Leads on the top left
- A popup wil be opened where you can configure the filter
- You can define a series of condition to filter the leads. The lead will be synced only when all the conditions will be met
- Once finished, click the Save Changes button to switch back to the Fields Mapping to continue with the bridge configuration
Step 3.B Test Connection (Optional)
Once you’ve mapped all the fields that you need, if available, you can run a test of your connection by clicking on the Test Connection button.
Step 4: Save and Publish
- Click on the Save and publish button
Congratulations! Now your bridge is up and running
Do you need help?
Here some additional resources:
- Aweber documentation page and common questions
- Google BigQuery documentation page and common questions
- LeadsBridge KNOWLEDGE BASE
- Contact support from your account clicking on the top right Support button
