Connect PushBullet and surveysensum to Build Intelligent Automations
Enable Integrations or automations with these events of PushBullet and surveysensum
Enable Integrations or automations with these events of PushBullet and surveysensum
Triggers
New Notification
Triggers when a new notification is received.
Actions
Send Link
Sends a link to a specified device.
Send Note
Sends a note to a specified device.
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Frequently Asked Questions
To start, connect both your PushBullet and surveysensum accounts to viaSocket. Once connected, you can set up a workflow where an event in PushBullet triggers actions in surveysensum (or vice versa).
Absolutely. You can customize how PushBullet data is recorded in surveysensum. This includes choosing which data fields go into which fields of surveysensum, setting up custom formats, and filtering out unwanted information.
The data sync between PushBullet and surveysensum typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between PushBullet and surveysensum. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About PushBullet
PushBullet is a service that connects your devices, making it easy to share notifications, links, and files between your phone, tablet, and computer.
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About surveysensum
SurveySensum offers an end to end Customer Experience Platform that measures and improves your CX metrics with CES, NPS, and CSAT surveys. It lets you gather customer feedback at all touchpoints and turn them into actionable insights. After receiving feedback it enables you to prioritize actions to improve products or services and proactively reduce churn and drive growth. Also, its Conversation Analysis platform allows you to discover new trends and insights with real-time text and sentiment analysis on qualitative voice of the customer data from sources like Chat bot conversations, app store reviews, social media etc and save hours of manual data processing with automated feedback tagging.
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