NektonIntegrationsForms & Surveys SurveySensum

SurveySensum HubSpot SurveySensum integration with HubSpot

How to Create or update Hubspot contacts from new SurveySensum responses

  4.1/5 from 12 votes. About 5 minutes to complete.

Steps to automate

Use workflow automation service.
Preparation
Create Nekton account. You can also use your existing Google account to sign in.
Create automation
  • Click on the "Create new workflow" button, and then add "Automated step".
  • Set the step description to "Create or update Hubspot contacts from new SurveySensum responses" and then click on "Automate".
  • Provide the necessary parameters and click on the "Test it" button to check your automation. If you had issues with it, you can click on "Automate" again to try a different one.
Create a schedule (optional)
If you want to run this automation on a schedule, click on the gear button on the workflow editor screen to configure it. For example, you can run this flow every hour or every day.

Automate SurveySensum integrations

SurveySensum actions

Nekton can use any feature that is available in SurveySensum API. Using our advanced AI, you can easily create custom automations for SurveySensum. Here are some typical actions you can do in your automated workflows.
Create New Share
This action enables user to create a new email Share
Get Contacts
List of contacts present in the user account
New Response
Triggered when a new Response is captured in a survey
Get Email Templates
Returns the list of email templates present in user account

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.