Integrate Drift with Wootric
Drift is the world’s first conversation-driven marketing platform. It’s bots work like virtual assistants for your website, connecting your business with leads by starting conversations and scheduling meetings in real-time. This automates and streamlines the sales process, allowing companies to connect with the most qualified leads right away.
Wootric is a service that can create customers surveys and turn their responses into a measurable metric of customer happiness called a Net Promoter Score (NPS). Wootric’s surveys are designed to get the most responses possible by being both simpler and less aggressive than traditional surveys. The data gathered from these surveys can be used to rate and segment customers as well as offer analytics about your customer base at large.
Popular Use Cases
Bring all your Drift data to Amazon Redshift
Load your Drift data to Google BigQuery
ETL all your Drift data to Snowflake
Move your Drift data to MySQL
Bring all your Wootric data to Amazon Redshift
Load your Wootric data to Google BigQuery
ETL all your Wootric data to Snowflake
Move your Wootric data to MySQL
Integrate Drift With Wootric Today
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Drift's End Points
Convert leads and close deals with user-friendly, seamless communication experiences. Then, use this to grow your contact lists and create more targeted, effective marketing material.
Conversations & Messages
Use the conversation tools to avoid forms and follow-ups so that you can connect your business with the best leads in real-time. Then, integrate with other customer support, sales, and marketing tools to streamline your communication and improve long-term customer retention.
Wootric's End Points
Track the data associated with your survey responses. This allows Wootric to both provide you with analytic data about your NPS and integrate that data with your CRM.
Interact with data about your end users - including their contact information, their relationship with your company (such as what plan or product they use) and the date they were last surveyed - to gauge how out-of-date your data about each user may be. Then, use this information to decide if/when they should be surveyed again.
Monitor which surveys were declined and by whom. This data includes the ID of the respondent, the survey ID and the time at which it was declined. You can then identify which surveys were unsuccessful and which customers are unlikely to respond to surveys. This can help to accurately segment your customers and better gauge where they are in their lifecycle with your company.