Feedier is an accessible feedback platform that lets teams get instant clarity on their users’ experiences and future needs.
Create playful feedback forms that can be automated and sent during your users’ key touchpoints. Feedier’s dashboard lets you group individual feedback into live journeys. Validate key decisions using easy-to-share visual reports that connect with your existing workflows 🚀
• Interactive forms: Deploy innovative forms quickly with a unique model: S.I.R.A. Measure Satisfaction, collect valuable Insights, Reward to create loyalty, manage you feedback with Live Journeys and finally push an Action to create engagement.
• Get more responses: Push highly targeted and unique feedback requests that not only deliver a much better and quicker experience but also incentivize your participants to give their opinion.
• Empower your data: Feedier act as data-hub. Link cross-data from your applications and services to the feedback you collect. Segment the data you require. Go one step further with sentiment analysis, thanks to machine learning analysis.
• A collaborative platform to infuse actions: Assign feedback in your teams, engage your participants, export your data and generate PDF reports for your management. Detect what's driving your success and how to innovate faster.
Did you know that it is 5 times easier to sell a product to an existing customer than to a new prospect? Furthermore, it can costs up to 5 times more to acquire a new customer than it does keeping the existing ones! A lot of SaaS are putting tremendous efforts into customer's acquisition but face huge churns, without focusing on keeping their customers. If you feel like too many customers are leaving your SaaS, without knowing what to do, the tool we developed is for you.
What is it? ChurnTarget helps you detect your customers that may soon be leaving your SaaS. By doing this, you can reach out to them before they actually leave, giving you more time to convince them to stay.
How does it work? There's nearly no integration to be made to make it work. You have to gather your customer's information in an excel, and upload it to your dashboard on our website, and initiate your report. Machine Learning algorithms will then go through your data, and find links between previous churns to give you a list of the customers which are the most likely to churn in the following weeks.
When will this be live? This is still an early version but we expect it to be ready in the following weeks. If you're interested, you can already sign up and talk to us. We are looking for early users and feedbacks, to help us shape our product, according to your needs. We will be giving discounts for early users and people who gave us feedback.
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