Connect criya and surveysensum to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between criya and surveysensum?

To start, connect both your criya and surveysensum accounts to viaSocket. Once connected, you can set up a workflow where an event in criya triggers actions in surveysensum (or vice versa).

Can we customize how data from criya is recorded in surveysensum?

Absolutely. You can customize how criya 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.

How often does the data sync between criya and surveysensum?

The data sync between criya and surveysensum typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from criya to surveysensum?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between criya and surveysensum?

Yes, you can set conditional logic to control the flow of data between criya 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.

criya

About criya

Criya builds you a bespoke generative AI app for your business that engages every visitor in real time conversations, promotes engagement and conversions.

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surveysensum

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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