
Overview
Enterpret is cutting-edge feedback analytics that aggregates qualitative feedback from diverse sources like support conversations, social media, surveys, community forums, and sales calls and analyzes this data with custom AI models, empowering product builders with actionable insights from user feedback.
Customer-centric product companies like Notion, Loom, The Browser Company, and many others use Enterpret to know their customer pain in real-time, spot emerging trends and anomlies in their feedback, and make data-backed product decisions to drive retention.
Some typical use cases we see for Enterpret are -
- Getting alerted on anomalous patterns in customer feedback post a feature/version release.
- Contrasting customer feedback across different behavioral cohorts for deeper insights.
- Closing the loop with customers who have given feedback on any particular topic.
For custom pricing, EULA, or a private contract, please contact aws-mp@enterpret.com for a private offer.
Highlights
- Centralize customer feedback across all channels, such as - Social Media, Zendesk, Surveys, Gong calls, Salesforce, Community Forums, etc.
- Custom AI models to categorize feedback and identify granular reasons behind the feedback.
- Closing the loop with customers who have given feedback on any particular topic.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Feedback records | Includes upto 300,000 feedback records per year | $120,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Access support documentation on Enterpret Helpcentre - https://helpcenter.enterpret.com/en Contact support by emailing us here at support@enterpret.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Standard contract
Customer reviews
Essential Tool for Escalation Analysis and Process Improvement
Superior Data Analysis and Intuitive UI Set This Platform Apart
Effortless Report Sharing and Real-Time Dashboards with Enterpret
For the support team, it has made keeping a pulse on the business exponentially easier. Prior to Enterpret, we would discover issues if agents reported getting a lot of feedback on a particular topic or I would review about 25 different reports in SF once a week and look for anomalies, which was difficult because if something only had 20 reports in a week that may not stick out to me, but it could have been 5x what we previously had and a red flag that something was wrong. Now I can check db's in Enterpret to easily spot issues, or rely on the slack integration, to catch issues earlier.
1. Understanding trends and feedback around churn: We've made a lot of massive changes to our package in the last 6 months (addition of HBO, price increase, removed legacy plans and the free trial). With each change, I am able to share customer sentiment and contact drivers back to the business.
2. Bug reports: We have gotten our T3 team trained on Enterpret and they are using it to look for possible bugs being reported and using Wisdom to find commonalities, what troubleshooting steps are resolving the bug, etc. It has reduced the time it takes them to research a bug greatly and they can just pass the link from their DB or wisdom on to Eng.
3. Product Road Map: We are sharing feedback about experiments our prod team is running to either greenlight or hault before pushing into prod.