Integrate Bing Ads with Microsoft Azure SQL Database
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.
About Microsoft Azure SQL Database
Microsoft Azure SQL Database is a relational database service in the cloud based on the market-leading Microsoft SQL Server engine, with mission-critical capabilities.
SQL Database delivers predictable performance, scalability with no downtime, business continuity and data protection—all with near-zero administration.
You can focus on rapid app development and accelerating your time to market, rather than managing virtual machines and infrastructure.
Because it’s based on the SQL Server engine, SQL Database supports existing SQL Server tools, libraries and APIs, which makes it easier for you to move and extend to the cloud.
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 Microsoft Azure SQL Database Today
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Bing Ads's End Points
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.
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.
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.