Enterpret

Enterpret is a leading customer feedback intelligence platform designed to help companies understand their customers at a superhuman scale. It leverages custom-built AI and advanced Natural Language Processing (NLP) to transform the chaos of customer feedback from disparate sources into clear, actionable insights. By consolidating every piece of feedback—from support tickets, app reviews, social media, surveys, and more—into a single, unified hub, Enterpret provides a holistic view of the customer experience. This enables product, CX, and leadership teams to move beyond guesswork and make decisions with confidence, ensuring that no critical signal is ever missed.

The platform is built on the principle of turning intelligence into intuition. It's trusted by leading companies like Canva, Notion, Apollo, and Descript to bridge the gap between customers and builders. Enterpret's AI not only aggregates data but also enriches it, automatically identifying themes, tracking sentiment, and detecting emerging issues in real-time, allowing teams to be proactive rather than reactive.

How to use Enterpret

The workflow in Enterpret is designed to be intuitive and powerful, following a three-step process: Aggregate, Analyze, and Act.

1. Aggregate: Begin by connecting all your customer feedback channels. Enterpret offers seamless integrations with dozens of tools like Zendesk, Intercom, Slack, social media platforms, and app stores. You can also use its flexible API or CSV importer to bring in data from any other source. This step creates a centralized repository for all customer voices.

2. Analyze: Once data is consolidated, Enterpret's customer-specific machine learning models get to work. They automatically tag and categorize every piece of feedback into a granular, custom-built taxonomy. Users can then explore this data, identify trends, and understand the 'why' behind the numbers. For instant insights, you can use 'Wisdom', Enterpret's AI copilot, to ask questions in natural language, summarize long threads of feedback, and condense research in minutes.

3. Act: With deep insights in hand, teams can drive meaningful action. Create and share 'Collections' of critical feedback to align stakeholders. Connect feedback data to revenue and user segments to prioritize the most impactful initiatives. The platform's real-time alerts on emerging issues help teams address problems before they escalate, ultimately improving customer satisfaction and driving product innovation.

Core Features of Enterpret

• Unified Feedback Hub: Consolidates customer feedback from all sources, including support tickets, chats, social media, app reviews, surveys, and more.
• Custom AI & Taxonomy: Develops customer-specific ML models to create a granular and evolving feedback taxonomy, ensuring high accuracy and relevance.
• 'Wisdom' AI Copilot: A generative AI assistant that allows users to query data with natural language, summarize feedback instantly, and accelerate research synthesis.
• Emerging Issue Detection: A 24/7 AI agent that proactively detects, analyzes, and alerts teams about new and trending customer issues.
• Deep Integrations: Offers a wide range of native integrations with popular tools, plus a robust API and CSV importer for maximum flexibility.
• Revenue Impact Analysis: Connects customer feedback to user accounts and revenue data, enabling teams to quantify the business impact of issues and feature requests.
• Unlimited User Seats: All plans include unlimited seats, democratizing access to customer insights across the entire organization.
• Dedicated Support & Auditing: Provides a dedicated Customer Success Manager and data auditors to ensure smooth implementation and ongoing model accuracy.

Use Cases for Enterpret

Enterpret is versatile and delivers value across various teams:

Product Teams: Validate hypotheses, inform product roadmaps, and prioritize features based on quantified customer needs. Companies like Apollo.io use it to focus on the 20% of issues that drive the most impact.

Customer Experience (CX) Teams: Identify the root cause of support tickets, reduce inquiry volume, and measure customer satisfaction. Notion uses Enterpret to get a holistic view of user sentiment and gain insights 70% faster.

User Research Teams: Dramatically accelerate the research synthesis process. Descript's research team reduced the time for data synthesis from a full day to just 30 minutes.

Leadership & Strategy: Gain a real-time, high-level overview of the voice of the customer to make informed strategic decisions and track product health.

Advantages of Enterpret

Enterpret offers a significant competitive edge by transforming how companies interact with feedback. Key advantages include a massive reduction in manual labor (like tagging), a significant boost in the speed and accuracy of insights, and the ability to proactively identify problems. By connecting qualitative feedback to quantitative metrics like revenue, it provides undeniable proof of what matters most to customers. The inclusion of unlimited user seats and dedicated, high-touch support ensures that the entire organization can become more customer-centric, fostering a culture of building with certainty.

Pricing and Plans

Enterpret's pricing is customized to fit the specific needs of each organization. The cost is primarily based on two factors: the volume of feedback data being processed and the number of integrations required. The company does not offer standard tiered plans on its website, as they prefer to provide accurate, tailored quotes.

However, all Enterpret plans come with a comprehensive package of services, including:

• Unlimited user seats
• Customer-specific ML models for feedback analysis
• A dedicated Customer Success Manager
• Dedicated Data Auditors for implementation and ongoing model updates
• A dedicated communication channel (e.g., Slack)
• Weekly feedback taxonomy refreshes
• A 3-month historical data backfill

To get a price quote, prospective customers are encouraged to fill out a form on the pricing page to schedule a discussion with the sales team.