Product Analytics
Product Analytics With Data Driven Insights
Understanding how users interact with your product is the key to building features they love and experiences they trust. With Growth BI's help, you get clear visibility into user behavior, feature adoption, churn indicators, and usage patterns.

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Forward Looking Brands Choose GrowthBi

The Problem
Many product teams rely on siloed reports to shape product direction. Without full visibility into user behavior and feature engagement, you're often reacting too late. Unnoticed friction points can lead to wasted dev hours, user drop-off, and missed opportunities for growth.
Dashboards and reporting automation using Power BI saved us over 20 hours per month and improved our operational reporting.

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Yannick Darmalingam
Co-Founder, Slice (Paylater)
GrowthBI helped us create Customer Retention Dashboards by setting up Fivetran for us. We gained clarity into marketing and sales conversion.

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Ankur Gattani
Chief Growth Officer, WebEngag
Who is it for?

Leadership (CTO, VP of Product)
Require high-level dashboards to track overall product performance, usage trends, and roadmap progress aligned with business goals

Product Managers
Oversee the development and strategy of the product. Require dashboards to track product adoption, feature usage, customer feedback, and overall product performance.

UX/UI Designers
Require data on user behavior, engagement metrics, and feature usability to refine the user experience.
Get Complete Product Analytics
01
SaaS | Product Analysis
Target Audience: CPO, Product Managers, UX Designers, SaaS Founders
Key Metrics: This dashboard helps SaaS product teams monitor how users interact with key features, identify friction points, and prioritize improvements that drive retention and growth:
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Feature Adoption: Tracks which features are being used most often, by which user segments, and how usage evolves over time.
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User Journey Mapping: Visualizes the common user paths through your product to highlight engagement drop-off points.
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Churn Risk Signals: Monitors behavior patterns like inactivity, failed actions, or low engagement that correlate with customer churn.
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Onboarding Flow Effectiveness: Measures how many users complete the onboarding process and where they drop off.
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Usage Frequency: Analyzes how often users return, how long sessions last, and how engagement changes over the lifecycle.

Dashboard wireframe created using mokkup.ai
02
Product Usage Analytics
Target Audience: CPO, Product Managers, Data Analysts, Customer Success Teams
Key Metrics: This dashboard provides a clear view of how users engage with your product on a daily, weekly, and monthly basis to improve adoption, retention, and long-term value:
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Active Users (DAU/WAU/MAU): Tracks daily, weekly, and monthly active users to measure overall product engagement and stickiness.
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Session Frequency and Duration: Monitors how often users log in and how long they stay active within each session.
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Feature-Level Engagement: Breaks down usage by feature to identify which tools drive value and which are underused.
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Usage by Plan or Tier: Compares engagement across different subscription levels to identify upsell opportunities or risk factors.

Dashboard wireframe created using mokkup.ai
03
Product Feature Adoption Dashboard
Target Audience: CPO, Product Managers, UX Researchers, SaaS Growth Teams
Key Metrics: This dashboard helps product teams track how new and existing features are being adopted, revealing which ones drive value and which may need refinement or promotion:
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Adoption Rate by Feature: Measures the percentage of users who interact with specific features over time.
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First-Time vs. Repeat Usage: Distinguishes between one-time interactions and continued engagement to assess actual feature value.
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Adoption Over Lifecycle: Maps feature usage across different user stages.
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Feature Drop-Off Points: Identifies where users abandon or fail to complete feature-related actions.
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User Segmentation by Adoption: Breaks down feature usage by customer type, account size, industry, or user role.

Dashboard wireframe created using mokkup.ai
04
SaaS Product Insights
Target Audience: Founders, CPOs, Product Managers, Customer Success Leaders
Key Metrics: This dashboard gives SaaS teams a holistic view of how users engage with the product, what drives retention, and where growth opportunities lie:
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User Engagement Trends: Tracks how user activity changes over time to surface patterns in usage, engagement peaks, and drop-offs.
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Customer Health Scores: Combines product usage, support activity, and account status to identify at-risk or expansion-ready customers.
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Top Performing Features: Highlights which features deliver the most value based on frequency, depth of use, and user satisfaction.
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Funnel from Signup to Power User: Maps the user journey to reveal where users succeed, stall, or churn.
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License Utilization Rates: Monitors how many seats or licenses are in active use compared to what's been purchased.

Dashboard wireframe created using mokkup.ai
Dashboard Features
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Cohort Analysis
Track user behavior and retention patterns over specific time frames (e.g., users who signed up within the same month).
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Customizable Filters
Ability to filter data by user segment, feature, region, or timeframe for more granular insights.
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Real-Time Product Analytics
Dashboards update in real-time to reflect current user activity and product usage trends.
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User Journey Heatmaps
Visual representation of how users interact with different parts of the product, highlighting engagement or drop-off points.
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Predictive Analytics
Use of machine learning models to predict user churn, feature adoption trends, or future product revenue.
How We Deliver Product Analytics
At GrowthBI, we offer a straightforward process to help you take control of your sales data and turn it into a powerful tool for growth:
Here's how it works:

We Create a MockUp Dashboard
We begin by identifying the product metrics that define success for your team. These may include feature adoption, user engagement, retention, or churn. Within 1 to 2 days, we deliver a dashboard mockup tailored to your product goals and user lifecycle.
01
We Build Your Data Infrastracture
We integrate product usage data from tools like Mixpanel, Amplitude, or custom event tracking systems. Our team builds data models that capture user behavior across platforms and product touchpoints. This ensures you get accurate, meaningful insights.
02
We Create Dashboard With Drill Down Functionality
We design dashboards that help you understand how users interact with your product. Drill-down capabilities allow you to analyze engagement by feature, segment, or user journey stage. With these insights, you can make data-backed product decisions that drive growth.