Connect Leadsquared and Google Bigquery to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Leadsquared
Choose an Action
Automatically do this!
Run a Query
Find Row
Create a Table
Enable Integrations or automations with these events of Leadsquared and Google Bigquery
Enable Integrations or automations with these events of Leadsquared and Google Bigquery
Actions
Create a new lead
Create a lead in LeadSquared
Find a lead by email id
Find a lead using email id
Find a lead by phone
Find a lead using phone number
Create activity on a lead
Post an Activity on a Lead
Search Lead by Criteria
Search lead by criteria
Run a Query
run a sql query against a table in bigquery.
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Frequently Asked Questions
To start, connect both your Leadsquared and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Leadsquared triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Leadsquared data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between Leadsquared and Google Bigquery typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Leadsquared and Google Bigquery. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Leadsquared
Leadsquared is a comprehensive marketing automation and CRM platform designed to help businesses streamline their lead management, sales automation, and customer engagement processes.
Learn MoreAbout Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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