Integrations Reward Sciences caplena
Reward Sciences + caplena

Connect Reward Sciences and caplena to Build Intelligent Automations

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Reward Sciences

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caplena

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Enable Integrations or automations with these events of Reward Sciences and caplena

Enable Integrations or automations with these events of Reward Sciences and caplena

Actions

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Frequently Asked Questions

How do I start an integration between Reward Sciences and caplena?

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

Can we customize how data from Reward Sciences is recorded in caplena?

Absolutely. You can customize how Reward Sciences data is recorded in caplena. This includes choosing which data fields go into which fields of caplena, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Reward Sciences and caplena?

The data sync between Reward Sciences and caplena 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 Reward Sciences to caplena?

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 Reward Sciences and caplena?

Yes, you can set conditional logic to control the flow of data between Reward Sciences and caplena. 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.

Reward Sciences

About Reward Sciences

Reward Sciences is a platform designed to help businesses create and manage customer loyalty and reward programs. It offers tools to engage customers, increase retention, and drive sales through personalized rewards and incentives.

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caplena

About caplena

Caplena helps you automatically analyse free-text, creating actionable results from unstructured customer feedback, tweets or app reviews.

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