Launch an automated BigQuery machine learning model in minutes.
Fill in the fields below with details about your Google Cloud and Google Analytics accounts. Upon completing all fields, click download to generate a customized JSON file. Upload the file to CRMint to automate your pipelines.
It has simple and intuitive web UI that gives you full control and transparency into the underlying data processing jobs.
We suggest using App Engine since deploying with Cloud Run requires a Cloud Organization (through Workspace or Cloud Identity).
If you're unsure about this or haven't done it yet, it's best to stick with CRMint on App Engine.
Trained on last 12 months of data updated weekly.
Scores updated daily for visitors.
This model contains the following features:
- Device Browser
- Device Category
- Device Language
- Device Mobile Brand Name
- Device Mobile Model Name
- Device Operating System
- Day of Week
- Engagement Rate
- Engagement Time
- Count Pageviews / Screenviews
- Count User Engagements
- Count Scrolls
- Count Session Starts
The model output is a score between 0 and 100 (or a given multiplier).
Higher scores denote higher likelihood.
This will be used as a prefix for your output tables in BigQuery, Google Analytics event, user property, and conversion action.
To give you a head start, we use generative AI to suggest a name based on your form inputs. You can use it or choose your own, but it must start with a letter, be 24 characters or less, and only contain letters, numbers, or underscores.