Integrate Bing Ads to MongoDB
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.
Integrate Bing Ads to MongoDB
Popular Use Cases
Xplenty can extract any data that you need from Bing Ads. Here are some of our most popular use cases:
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.
Global PPC Manager
With Xplenty, it’s very easy to digest data from popular data stores. You can connect to multiple sources and merge your important data into one data source and the plugins and API capabilities give you a lot of flexibility and control over your daily job
Software Engineer, Pocketzworld
Syncing MongoDB into Redshift is difficult. Xplenty makes it easy. The Xplenty GUI allows us to define custom transformations, which are vital when preparing NoSQL data for SQL-based processing. At first we tried building our own ETL pipeline, then we evaluated 5 other ETL vendors - and Xplenty was by far the most reliable, affordable, and easy to use. If you need to analyze your MongoDB data using Redshift, start here.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.
Xplenty and MongoDB
With Xplenty's integration, you can use MongoDB to store and query data, and Xplenty to process and analyze it. Xplenty can import data right from MongoDB, and integrate it with other data stores, without the need for any coding or deployment. The processed data can easily be stored wherever required, whether back on MongoDB, cloud storage, or a relational database.