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.
MongoDB Atlas is a cloud database service for applications that works with Amazon AWS, Microsoft Azure, and Google Cloud Platform. The database service seeks to comply with the most stringent data security and privacy standards while offering a reliable suite of drivers, tools, and integrations. By automating numerous database management tasks, MongoDB Atlas helps developers build apps faster with less human error.
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
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.
The automated security features included in MongoDB Atlas let you monitor who has access to your data while securing your information against unwanted intrusions. Also, due to the platform's automation of mundane operational tasks — like provisioning and configuration, patching and upgrades, monitoring and alerts, advanced security automation, and disaster recovery — you don't have to be a data science expert to set up and run your databases.
MongoDB Atlas provides a variety of database security layers including advanced access control, IP whitelists, in-flight data encryption through TLS/SSL, optional encryption of your file system, and network isolation through Amazon VPCs and VPC Peering.
MongoDB Atlas offers multiple servers to provide 'always-on' availability. Even if your primary master goes down, multiple backups ensure that your system is always up and running.
The advanced backup and recovery features for MongoDB Atlas guard against data corruption. Whether the threat is from hackers or a team member's innocent mistake, you can rest easy knowing that, after a catastrophic, event you'll have a backup copy to recover your system from a specific time in the past.
MongoDB Atlas provides detailed information and statistics about your database systems. By organizing this information in numerous ways, the platform helps you understand when important changes or upgrades to your system may be necessary. Moreover, if it's time to make changes, you can provision new server instances in a flash.
Whether it's a new technology upgrade to improve database efficiency or a security patch to protect against a new security threat, MongoDB Atlas automatically upgrades or lets you upgrade with a single click, so you can take advantage of features as soon as they're available. Upgrades happen in a matter of minutes without any downtime required.
MongoDB Atlas includes a suite of tools that allow you to select your regions, billing options, and more — allowing you to customize server instances to your desired specifications.
MongoDB Atlas scales up and down — or scales out horizontally through automatic sharding — according to the needs of your company with zero application downtime. This allows you to grow beyond the limitations of one server without making your application too complex. Moreover, the platform's automatic balancing keeps information equally distributed across multiple replica sets as your data volumes grow, or as your cluster increases or decreases.