# Enterpret - Website: https://enterpret.com - Agent profile: https://nowen.ai/agents/enterpret-com - Industry: customer insights > Enterpret unifies customer feedback across channels to power AI-driven actions that improve retention and revenue. Enterpret is a customer intelligence platform that unifies support, sales, and market signals into a structured, contextual view that AI can use to drive retention, revenue, and product decisions. It ingests data from multiple sources, classifies and connects signals with a shared taxonomy and a customer context graph, enriches data, and provides AI-powered insights and workflows. By centering customer voices into a single source of truth, Enterpret empowers product, CX, and revenue teams to surface patterns, prioritize actions, and automate resolutions across the organization. **Mission:** To empower teams to turn customer feedback into action by unifying signals, building context, and enabling AI-powered decision making. ## Products & Services ### [Enterpret Customer Intelligence Platform](https://www.enterpret.com/) *Platform* Empowers teams with AI-driven insights and unified customer feedback for better decision-making. - **AI Agents** — Automate Resolutions - **AI Tool Integrations** — Streamline AI Workflows - **Cited Responses with Verbatim Quotes** — Provides Evidence-based Insights - **Multi-Source Ingestion** — Centralize Customer Feedback - **Open-Text Analysis at Scale** — Transform Feedback Into Actionable Insights - **Close the Loop** — Automate Customer Resolutions - **Unified Signals Across Touchpoints** — Integrate Feedback From Multiple Sources - **Adaptive Taxonomy** — Classify Feedback Efficiently - **Enterpret MCP Server** — Access Feedback Layer - **Customer Context Graph** — Reveal Insight Context - **Dashboards and Reporting** — Visualize Insights Clearly - **AI Insights** — Leverage AI Efficiency - **Increased Query Depth** — Permits Extensive Data Exploration - **Cross-Channel Pattern Discovery** — Identify Trends Across Channels - **Theme Tagging of Verbatims** — Clarify Customer Issues - **Feedback Integration** — Unify Multiple Data Sources - **Data Enrichment** — Enhance Feedback Quality - **Workflow Integrations** — Automate Workflow Processes - **Codex Compatibility** — Unlocks Broader Agent Access - **Benchmarking and YOY Trends** — Track Performance Over Time - **Data Enrichment Workflows** — Enhance Feedback Context - **Workflow Automations** — Automate Responses to Feedback - **Real-Time Alerts** — Stay Ahead Of Customer Issues ## Market Segments - **Voice of the customer** (market size $18.8B, CAGR 15.9%): Collects and unifies authentic feedback from conversations, interviews, support interactions, and product usage to surface themes and actionable insights for cross-functional teams. - **Product experience analytics** (market size $1.0B, CAGR 15%): Extract product-level insights from customer feedback to prioritize issues, inform roadmaps, and measure feature-level experience and satisfaction. - **Customer service analytics and workflow automation** (market size $25.0B, CAGR 12%): Monitoring, reporting, and optimization of support operations including SLA tracking, real-time and growth analytics, workflow automation, ticket routing, and performance dashboards. - **Revenue intelligence** (market size $5.8B, CAGR 14.2%): Analytics and AI that ingest engagement and CRM signals to surface deal insights, forecast projections, topic detection, coaching cues, and risk indicators for revenue teams. ## Who do we serve ### Growth-Stage B2B SaaS Companies Growth-stage software firms seeking unified customer insights to accelerate product decisions and retention. - Industries: SaaS, Software, Technology - Geography: Global (North America, Europe, APAC) - Pain points: Siloed customer feedback; slow feature prioritization; fragmented data sources - Business goals: Improve product decisions, accelerate backlog execution, boost retention and revenue - Positioning: A unified view of customer signals across support, sales and market interactions to accelerate product decisions, improve retention, and drive revenue growth. #### Persona: VP of Product - Needs: Unified customer feedback, reliable prioritization signals - Goals: Improve roadmap decisions; align with customer needs - Challenges: Siloed data, long feedback loops - Pain points: Difficulty translating feedback into backlog items - Solution: Consolidates feedback from multiple sources with AI-driven insights and clear prioritization signals to guide roadmaps. #### Persona: Head of Customer Experience - Needs: Signals across channels, closed-loop CX - Goals: Reduce churn, improve CSAT - Challenges: Fragmented data across support, product, and marketing - Pain points: Reactive CX with delayed actions - Solution: AI insights, cross-channel pattern discovery, and workflow automations to coordinate CX actions with product teams. #### Persona: Director of Product Analytics - Needs: Real-time insights, trend analysis - Goals: Track feature impact, measure VOC themes - Challenges: Data integration delays, inconsistent taxonomy - Pain points: Manual reporting, slow analysis - Solution: Data enrichment, dashboards and AI insights linked to the customer context graph. ### Enterprise CX And Product Leaders Enterprise teams across industries seeking unified customer signals to improve retention and product outcomes. - Industries: Cross-Industry, Enterprise - Geography: Global (North America, Europe, APAC) - Pain points: Data silos across support, sales, and marketing; slow action on insights; lack of cross-functional context - Business goals: Increase retention and revenue; shorten time-to-action; unify CX, product and revenue insights - Positioning: A single source of truth for customer context across enterprise teams, enabling faster CX improvements, cohesive product planning, and revenue optimization. #### Persona: Vice President of Customer Experience - Needs: Unified signals across channels, actionable CX insights - Goals: Reduce churn, increase retention and NPS - Challenges: Siloed data across systems; slow response times - Pain points: Manual reporting; delayed CX actions - Solution: Unified signals and real-time alerts with AI-driven workflows to close the CX loop. #### Persona: Director of Product - Needs: VOC and signal integration, backlog prioritization - Goals: Improve product-market fit, accelerate delivery - Challenges: Fragmented data, inconsistent taxonomy - Pain points: Time-consuming data prep - Solution: Cross-channel pattern discovery and AI insights to inform prioritization and roadmaps. #### Persona: Director of Revenue Operations - Needs: Unified customer data, revenue signals - Goals: Increase ARR, reduce churn, optimize pricing - Challenges: Data fragmentation; lack of end-to-end visibility - Pain points: Manual reporting; slow revenue actions - Solution: Workflow automations and AI insights that unify data for revenue decisions. ### Market Insights Leaders In Digital-First Companies Growth and market insights teams seeking real-time customer context across channels. - Industries: Market Research, Advertising, Across industries - Geography: Global (North America, Europe, APAC) - Pain points: Difficulty synthesizing multi-source signals; time-consuming analysis; lack of cross-channel context - Business goals: Generate faster insights; improve go-to-market decisions; measure campaign impact - Positioning: A holistic view of customer signals and feedback to inform growth experiments, messaging, and campaign strategy. #### Persona: Growth Marketing Manager - Needs: Real-time insights from customer and market signals - Goals: Improve campaign ROI, accelerate growth experiments - Challenges: Siloed data across channels - Pain points: Manual data gathering; delayed optimization - Solution: Ingests multi-source signals to surface trends and AI-driven recommendations with dashboards for ROI. #### Persona: Market Research Lead - Needs: Contextual voice of the customer, pattern discovery - Goals: Inform positioning; improve campaigns - Challenges: Time-to-insights; disparate data sources - Pain points: Slow synthesis of data - Solution: Open-Text analysis at scale and unified signals across touchpoints with AI insights. #### Persona: Insights Analyst - Needs: Efficient data enrichment, reliable dashboards - Goals: Support marketing and product with timely insights - Challenges: Manual data prep; inconsistent taxonomy - Pain points: Slow reporting; data quality issues - Solution: AI-powered enrichment and dashboards integrated with the customer context graph.