Integrate Bing Ads with QlikView
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.
As a flexible business intelligence solution, QlikView services over 24,000 organizations around the world. The platform includes easy-to-use BI tools that facilitate the consolidation, searching, and visual analysis of your data for deeper business insights and better decision-making. Perhaps the most popular part of QlikView is the fact that it takes only minutes to learn how to use this highly intuitive platform, which offers an endless variety of querying capabilities without you needing to apply strictly defined structures to your data. Plus, QlikView is neatly packaged in a clean and simple user interface.
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
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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.
QlikView's End Points
QlikView Qlik Sense Data Analytics Platform
QlikView prides itself on being an 'agent of transformation' for businesses and organizations via the 'Qlik Sense' associative data analytics engine and artificial intelligence technologies. Moreover, the solution's multi-cloud architecture gives you the freedom to deploy whatever combination of on-premises, private cloud, or SaaS you want. Scale to the parameters you require with open APIs, data integration features, and flexible governance. QlikView empowers all team members — regardless of their technical skill levels — to participate in making better, data-driven decisions.
QlikView Data Integration
QlikView acquired Attunity to bring enterprise-level data integration and real-time analytics to its customers via a 'DataOps' approach to data integration. The platform automates data streaming, refinement, cataloging, and publishing to offers real-time data that's ready for analytics.
QlikView Embedded Analytics
QlikView's embedded analytics features allow you to seamlessly embed your QlikView analytics content and interactive dashboards within products, websites, portals, and applications. This empowers users and customers to access important information, metrics, and insights without needing to switch to a separate platform.
QlikView Developer Platforms
QlikView's developer platforms provide the tools your developers need to build, extend, and launch customized, data-driven apps and analytics. The solution offers native, cloud analytics development through the Qlik Core platform — which features an associative engine and open source libraries. This empowers developers to create interactive applications that you can deliver at any scale in any cloud-based architecture.