Securely integrate Taboola with Chartio
Taboola is a discovery-driven content marketing service for both advertisers and publishers that is designed to offer visitors highly personalized external content while they engage with a publisher’s website. Taboola accomplishes this level of personalization through a predictive analysis engine that looks at a wide range of data points, including demographic data, browsing history, purchase history, etc. Then, it chooses and displays the discovery links that are most likely to engage those visitors, thereby increasing the likelihood of conversion.
Chartio is a business intelligence solution that prides itself on ease of use. With its out-of-the-box connections to Snowflake, Google BigQuery, Amazon Redshift, and other popular data sources — along with its ability to provide direct access to information in Google Sheets, CSVs, and cloud applications — Chartio deploys in a few clicks and doesn’t require additional hardware.
Popular Use Cases
Bring all your Taboola data to Amazon Redshift
Load your Taboola data to Google BigQuery
ETL all your Taboola data to Snowflake
Move your Taboola data to MySQL
Integrate Taboola With Chartio Today
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Taboola's End Points
Manage the details of one or more of your ad campaigns, including the financial details - such as cost-per-click (CPC), spending limit, and daily cap - and preferred targets for the campaign i.e. publishers, countries, platforms, etc. This ensures that your campaigns are personalized for the audience most likely to engage them.
Retrieve performance reports that include advertiser-relevant data - such as CPC, impressions, total clicks, etc. - as well as publisher metrics, like detailed analytics on the revenue that is being generated by a page. This information allows publishers and advertisers to gauge how to best maximize their discovery-based marketing performance.
Request resources that can help set up a campaign on Taboola, including the supported regions and region codes, which platforms are supported, and a dictionary that lists all of the terms that can be used when requesting these resources. Then, use this information to customize a campaign that will provide more effective targeting.
Chartio's End Points
Chartio Analytics with Visual SQL
Chartio's 'visual SQL' makes it easy for anyone without coding experience to explore, transform, and visualize your data through an intuitive, drag-and-drop user interface. When employees without SQL knowledge can set up a custom report in minutes, this frees up data and engineering teams to focus on more important tasks. Moreover, since the platform is built on SQL, Chartio offers more advanced capabilities to those with SQL knowledge.
Chartio's visual user interface makes it easy to customize dashboards for a more brand-consistent experience. Chartio also allows you to schedule and automate the sharing of dashboards by email, PDF, or a link. In addition, you can create alerts to track your most important metrics and receive notifications that tell you when to take action in response to new developments. Lastly, Chartio dashboards offer a 'Snapshots' tool for viewing historical data and keeping track of the most important metrics for your company.
Chartio Data Security and Compliance
Chartio's database connections offer full control by utilizing a reverse SSH tunnel for the connection. The platform also makes it easy to manage your team members' access and permissions to different types of information. Finally, transferred data is subjected to SSL-encryption, so you don't have to worry about your information being exposed.
Chartio Business Intelligence Features
Chartio's advanced business intelligence features offer the following: (1) data blending to combine different types of data for more robust insights; (2) data stores to save data segments in Chartio without needing to change operational databases; (3) drill-downs to easily dig deeper into your data; (4) drag-and-drop table joins that are automatically built into queries when using Chartio's visual SQL interface; (5) customizable schemas by writing SQL to create specialized tables and columns; (6) extrapolation features to forecast future trends; and many other features.