Google BigQuery + beeviral

Google BigQuery + beeviral integrations

Create new beeviral recommendations from new rows in Google BigQuery

Improve your Beeviral strategy with data-driven insights. This workflow activates when a new row is added in Google BigQuery, creating a tailored recommendation in the Beeviral app. It simplifies data analysis, helping you craft personalized engagement strategies for your audience based on fresh Google BigQuery data. Streamline your marketing efforts and make informed decisions every step of the way. Make your data work for you, adding value to your Beeviral strategy.

When this happens...
New RowTriggers when a new row is added to a table. We know when a new row is added whenthe table is sorted by a column and the latest row is different from the previous latest row.
TriggerPolling
automatically do this!
Create RecommendationInsert a new recommendation
ActionWrite

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More things you can do with Google BigQuery and beeviral

Discover other triggers and actions you can use with Google BigQuery and beeviral

- Project
  Required
- Dataset
- Table
Trigger
Polling
Try It
- Project ID
  Required
- Job ID
  Required
- Location
  Required
Trigger
Polling
Try It
- Project
  Required
- Dataset
  Required
- Table
  Required
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Where Column
  Required
- Where Value
  Required
Action
Write
- Project ID
  Required
- SQL Query
  Required
- Location
Action
Write

- Stop on error
  Required
- HTTP Method
  Required
- URL
  Required
- Query string parameters
- Additional request headers
- Body
Action
Write
- Project ID
  Required
- Job ID
  Required
- Location
  Required
Action
Search

New Recommendation
Triggers when a new indication is registered in the INDEXIA. Use this event to record the information in your CRM or Email Marketing Automation Software.
Trigger
Instant
Try It
- Campaing
  Required
- email
  Required
- name
  Required
- company
- phone
- IP
- request for indication? (Y or N)
  Required
Action
Write
- Refer email
  Required
- Status
  Required
- Value
Action
Write

- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Sort By Column
  Required
- Unique Column
  Required
Trigger
Polling
Try It
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Unique Column
  Required
- IS Operator
Trigger
Polling
Try It
- Project
  Required
- Dataset
  Required
- Table
  Required
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Rows
  Required
- Skip Invalid Rows
- Ignore Unknown Values
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Where Column
  Required
- Where Value
  Required
- Update Columns
  Required
Action
Write
- Project ID
  Required
- Dataset
  Required
- Table
  Required
- Sort By Column
- Sort Direction
- Where Clause
  Required
Action
Search
- Project
  Required
- Dataset
  Required
- Table
  Required
- Sort By Column
- Sort Direction
- Where Clause
  Required
Action
Search or write
- Campaing
  Required
- email
  Required
- name
  Required
- company
- phone
- IP
- request for indication? (Y or N)
  Required
Action
Write
- Campaing
  Required
- email customer / influencer
  Required
- Referee email
  Required
- Referee Name
  Required
- channel
  Required
- status
  Required
- value
- message
- phone
Action
Write
- Id Recommendation
  Required
- Status
  Required
- Value
Action
Write

About 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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Databases

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About beeviral

beeviral is a referral marketing automation platform.

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Related categories

Marketing Automation

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