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Self-Service Analytics for Technology Companies

Transform customer and subscriptions data into insights and forecast revenue growth with AI-powered recommendations from MachEye.

Self-Service Analytics for Technology

Drive growth and retention, faster

technology-customer-engagement

Customer Engagement

Track the customer journey from prospect to free trial user to paid subscriber. Improve engagement at all touchpoints with instant insights on usage patterns, popular features, and feedback.

technology-churn-analysis

Churn Analysis

Measure accurate churn rates and customer health scores to predict customer retention. Identify drop-off points and weak areas, and drive engagement with actionable insights.

technology-revenue-growth

Revenue Growth

Find anomalies in annual and monthly recurring revenues, customer lifetime value, and subscription metrics. Identify best performing segments and forecast growth to maximize revenue.

technology-lean-operations

Lean Operations

Make operations lean and scalable by tracking customer acquisition costs and campaign effectiveness. Maximize customer lifetime value with actionable insights.

Find instant answers to drive innovation

Technology businesses need real-time insights to survive competition, keep customers engaged, and offer value-added services, all while keeping costs low. MachEye’s self-service analytics for technology answers complex questions and provides deep insights on churn rates, growth rates, subscriptions, and preferences. Technology providers can track customer journeys, stay ahead of churn, and grow revenue with scalable analytics from MachEye.

Watch video: MachEye in Action
Add a play button to data Mach Eye self-service analytics for technology SaaS software Add a play button to data Mach Eye self-service analytics for technology SaaS software Add a play button to data Mach Eye self-service analytics for technology SaaS software
A Google-like search to ask questions in natural language and get instant results with charts and narrations.
Contextual AI models for automatic discovery of advanced insights such as anomalies, trends, and segments.
Instant natural language-to-SQL generation with a live data warehouse connection to answer queries in real time.
Storytelling with interactive stories to make analytics as easy and engaging as social media experiences.