Datahive360

Datahive360 Connector - Youtube

Datahive360 gives your Youtube data perspective.

Collect, unify and integrate data from the Youtube Data API with the rest of your marketing data.
Datahive360 - Youtube Data Collection

Collection

Collecting your Youtube data is easy via our user-friendly interface.

All you need to start collecting data is log in and simply pick your data template. Or you could go custom and select your own metrics and dimensions.

Unification

Align your Youtube data with other data sources.

Collect event data from your mobile apps, websites, and servers with one API. Use turnkey integrations to pull in contextual data from cloud apps like your CRM, payment systems, and internal databases. 

Datahive360 - Youtube Data Unification
Datahive360 - Youtube Data Distribution

Distribution

Use your Youtube data everywhere you want.

All you need to start collecting data is log in and simply pick your data template. Or you could go custom and select your own metrics and dimensions.

Designed with Scalability in Mind

Trusted by small businesses and global enterprises alike, Datahive360 is committed to helping your organization ascend to the next level.
Single Source of Thruth

Multi-Platform Support

As you add new tools, ad platforms, and CRMs to your business, Datahive360 offers tidy dashboards and reports at scale.

Zero code platform

Intuitive Usability

Training new personnel is one of the most common challenges that growing teams face. Fortunately, Datahive360’s zero-code interfaces are simple and intuitive.

Full Data Ownership

100% Ownership

Datahive360 not only features ultra-secure encryption protocols, but also keeps you in control of your  Youtube data for uninhibited access and usage freedom.

Useful features working with Youtube

Datahive 360 Features - Plug 'n Play Connectors
Datahive360 offers plug & play connectors for the most popular advertising, analytics and CRM platforms. See the list of supported data connectors for details.
Datahive 360 Features - Data Models
A data model consists of 1+ data connector(s), data transformation logic to structure the data and 1+ data destination(s). You can create simple data models with just 1 data connector and 1 data destination, without transforming the data, or more complex models with multiple data connectors, data transformation logic and multiple data destinations.
Datahive 360 Features - Historical Data Preservation
Datahive360 automatically preserves historical data for connected data sources as time progresses. This means that for data sources where the availability of historical data through the API is limited, Datahive360 enables you to extend the historical reach of your reporting.