MailChimp is a marketing service designed to improve your email campaigns through easy-to-design, automated, and personalized emails. Some of the features that MailChimp uses to increase campaign performance include drag-and-drop email templates, automated product suggestions, follow-up emails based on customer actions and revenue reports. These can help refocus marketing campaigns to provide the customer experience that is most likely to translate into sales.
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.
Bring all your MailChimp data to Amazon Redshift
Load your MailChimp data to Google BigQuery
ETL all your MailChimp data to Snowflake
Move your MailChimp data to MySQL
Monitor replies to your email campaigns based on a number of filters, including which campaigns have unread messages, which replies are part of a specific campaign and the dates that the replies were sent on. This allows you to more carefully track customer responses to your marketing efforts so that you can integrate that data into your marketing analytics efforts.
Track an array of analytical data about your MailChimp campaigns, including how many emails have been sent, whether they were delivered or bounced and how the recipients interacted with them (whether they opened them, forwarded them, subscribed, unsubscribed, etc). These reports can inform future campaign design by providing you with deeper analytics about which campaigns were most successful and why.
Retrieve data about your email campaigns, including the recipients, the type of campaign and how many emails have been delivered since the campaign began. You can then use this information to closely monitor the success of each campaign, which can be especially useful for those that are designed to test for marketing effectiveness, such as A/B campaigns.
Create a list of contacts that are subscribed to your email campaigns and define details about the campaigns themselves (like the email address that the emails will send from). Then, you can request metrics related to that list, such as how many emails have been delivered, how many subscribers the list has and how many people have unsubscribed since a campaign began.
Create targeted, automatic campaigns that will send emails in response to time-based and activity-based triggers. You can also use this endpoint to retrieve information about a specific automation, including how many emails have been delivered, what the defined triggers are and who the recipients are.
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 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'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'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.