Connect Reply and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Reply
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Enable Integrations or automations with these events of Reply and Nyckel
Enable Integrations or automations with these events of Reply and Nyckel
Actions
Mark as Finished
Marks a person as finished in the campaign (i.e., they have completed all required steps or the campaign has ended for them).
Remove Person From Campaign
Removes a person from a specific campaign in an array of campaigns.
Create Person and Push to Campaign
Creates a person and immediately adds them to a campaign.
Create Person
Creates a new person.
Add Step to Campaign
Adds a new step to an existing campaign.
List Campaigns
Get List of Campaigns
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Frequently Asked Questions
To start, connect both your Reply and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Reply triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Reply data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Reply and Nyckel 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 Reply and Nyckel. 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 Reply
Reply is a sales automation platform that puts outreach on autopilot, while still making each communication personal.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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