Integrate Bing Ads with Chartio
About Bing Ads
Bing Ads is a search engine marketing platform that includes several tools to improve conversion rates for search engine ads. For example, Bing Ads can generate a list of relevant keywords, use ad extensions to provide additional information to specific customers, and design retargeting campaigns, all of which can help increase the conversion rate of website visitors. In addition, Bing Ads also offers ad analytics, which can help detail the relationship between a number of metrics, such as website visits, click-through rates, and conversion rates.
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 Bing Ads data to Amazon Redshift
Load your Bing Ads data to Google BigQuery
ETL all your Bing Ads data to Snowflake
Move your Bing Ads data to MySQL
Integrate Bing Ads With Chartio Today
Free 14-day trial. Easy setup. Cancel any time.
Bing Ads's End Points
Bing Ads Statuses
Monitor your requests to upload product offers to the Bing Ads catalogs so that you can see when and why they are accepted or rejected by Bing Ads review process. This endpoint also lets you see how many total offers were accepted or rejected, allowing you to evaluate your products and improve your acceptance rate.
Bing Ads Products
Track data for a specific product or list of products in a store and run market analytics on those products to monitor their performance. You can also use this endpoint to manage product properties, such as age group, product type, condition and more, allowing you to segment your ad campaigns and conduct market analysis for that product.
Bing Ads Catalogs
Create or retrieve product catalog data, such as the name of an associated store, the store’s market, and the catalog’s ID. This information can be used to insert products directly into that catalog and/or to track the catalog’s performance using other endpoints.
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.