Connect myphoner and KNIME to Build Intelligent Automations
Enable Integrations or automations with these events of myphoner and KNIME
Enable Integrations or automations with these events of myphoner and KNIME
Actions
Create Lead
Create a new lead in the selected Myphoner list with contact and profile details.
Mark Lead as Winner
Mark a selected Myphoner lead as a winner. Optionally add an internal comment, assign a category, schedule a callback, or set a follow-up date.
Mark Lead as Lost
Mark a Myphoner lead as lost and optionally add a comment, schedule a callback, set a callback delay, or assign a category.
Schedule Callback
Mark a Myphoner lead for a callback — set a delay or exact date/time and add an optional comment and category.
Find or Create Lead
Searches a Myphoner list for a lead by full name and optionally creates the lead if none is found.
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Frequently Asked Questions
To start, connect both your myphoner and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in myphoner triggers actions in KNIME (or vice versa).
Absolutely. You can customize how myphoner data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between myphoner and KNIME 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 myphoner and KNIME. 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 myphoner
Myphoner is a cold calling tool used for lead management and lead tracking, with the focus of creating a superior workflow for the sales agent.
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About KNIME
KNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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