Integrate MailChimp with Appsee
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.
Appsee enables mobile app publishers and developers to track, understand and improve the user experience in their apps, and act on insights delivered by our SaaS platform.
Popular Use Cases
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
Bring all your Appsee data to Amazon Redshift
Load your Appsee data to Google BigQuery
ETL all your Appsee data to Snowflake
Move your Appsee data to MySQL
Integrate MailChimp With Appsee Today
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MailChimp's End Points
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.
Appsee's End Points
Track a variety of data related to events that happened during user sessions, such as the number of total events in a given period, the properties associated with those events and the number of occurrences of a specific property. This endpoint can also be used to signal when an event occurrence might warrant further examination of the video recording to see when and why it occurred.
Monitor how users interact with your screens, including how many times a screen was accessed, what types of gestures were used, and what screen was accessed next. This can give you a broader view of how your users interact with your app. Use this information to gauge the effectiveness of your screen designs and know which features are being used more or less frequently.
Get analytics data for your app, including the number of users that accessed it and the number of sessions that occurred. This data can be filtered by a set of parameters, including country, date, OS, device, and session duration.
Request data about a user’s session, which can be filtered by things like user ID, included events, device type and screen. Appsee will return any pertinent data and include information like the video URL, crashes that occurred and any other events that occurred during the session.
Retrieve data about your conversion funnels and sort it by parameters, including date range, app version, device and platform. Then, Appsee will return a list of steps in the funnel, along with how many users accessed that step and what their completion percentage was.