Integrate Delighted with Appsee

About Delighted

Delighted is a service that employs single question surveys to provide businesses with real-time customer feedback. Each survey question can have a rating scale for customers to select from as well as a section where customers have the option to leave a free-form comment. This provides both a numerical score - that can be collected to create a Net Promoter Score (NPS) - and useful customer feedback that Delighted can filter and search to retrieve the most useful responses for a given purpose.

About Appsee

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 Delighted data to Amazon Redshift

Load your Delighted data to Google BigQuery

ETL all your Delighted data to Snowflake

Move your Delighted 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 Delighted With Appsee Today

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Delighted's End Points

Delighted People

Create a survey recipient, including their customer ID, email address and phone number. Then, you can customize your survey delays based on your customers’ needs and preferences, specifying how you want the surveys sent - via SMS or email - and how frequently you want them sent.

Delighted Survey Responses

Retrieve data from customer responses, including the score they selected, any comments they left in response to the survey and the person ID for the customer (which allows you to continue to track their responses). Additionally, use this data to create and update your Net Promoter Score, which can help provide customer analytics both within Delighted and in other data sources via integration.

Delighted Metrics

View important metrics for your account like your NPS and the percentage of your respondents that identified as promoters, passives, or detractors. This provides a broader view of your survey performance that can help you determine your overall business performance.

Delighted Unsubscribes

When someone unsubscribes, you can maintain their previous survey response data and view their old emails. When integrated with other user data, this information can provide key business insights. It can also be used to run an array of business analyses, including predictive analytics.

Appsee's End Points

Appsee Events

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.

Appsee Screens

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.

Appsee Analytics

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.

Appsee Sessions

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.

Appsee Funnels

Retrieve data about your conversion Appsee 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.

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