OWOX BI is three marketing analytics solutions under one roof: Pipeline, Attribution and Smart Data.
Together, they work as your personal marketing analyst that lets you:
- Collect and merge your data from advertising and analytics services
- Build an extensive attribution model to evaluate all your business efforts and learn how each of your online and offline channels affects customer conversion
- Get reports based on the merged data from different sources
Let’s now dive deep into each of the OWOX BI solutions.
OWOX BI Pipeline
Lets you collect raw data from different sources storing it in Google BigQuery and import detailed cost data from ad services to Google Analytics and BigQuery.
In OWOX BI Pipeline, you can:
- Set up the automatic cost data import from advertising services such as Facebook to Google Analytics
- Import cost data from Google Analytics, Facebook Ads, and Yandex.Direct to Google BigQuery
- Collect raw non-sampled data about user behavior on a website to Google BigQuery, both on hit and session level
- Collect mobile app analytics data from AppsFlyer
- Extend Google Analytics data with data from call tracking systems
- Collect real-time webhook events from email services
- Export data from SalesForce CRM to Google BigQuery
OWOX BI Attribution
In OWOX BI Attribution, create a Funnel-Based attribution model and track your customers’ path from initial engagement to conversion by bringing together data from Google Analytics, CRM systems and custom online and offline events like phone calls, personal meetings or emails.
OWOX BI Smart Data
In OWOX BI Smart Data, use queries in plain English to get reports based on the data from your attribution model, CRM and call tracking systems, learn the role of the ROPO effect in your online commerce and monitor the quality of your CPA campaigns.
In order to start working with OWOX BI, you need access to Google BigQuery, a cloud analytics service working both as data storage and data processing and analytics tool.
Google BigQuery can easily store up to petabytes of raw non-sampled data. It doesn’t need admins or maintenance and the data processing is affordable: $5 per terabyte.
To start working with BigQuery, you only need to create a Google Cloud Platform project.