Web analytics

Seeing who’s active in your app bridges the gap between raw metrics and actual customer behavior. Web Analytics connects you with the humans behind your data, showing you active users, their engagement patterns, and the parts of your app they interact with most.

What makes this report different

Most analytics tools overwhelm you with numbers without showing you the people behind them. Web Analytics flips this approach by connecting metrics to actual customers, letting you see which companies are active and how their engagement evolves throughout the day. This visibility helps you make informed decisions about everything from feature rollouts to support staffing.

Report components

Active users at a glance

The top section provides clear visibility into your app’s current usage patterns:

Total active users shows you overall engagement levels - track how your user base grows and spot unusual changes that might need attention
Timeline visualization reveals usage patterns across your selected period - understand your typical usage cycles and identify opportunities to better serve your customers
Period-over-period changes highlight meaningful trends - quickly spot if engagement is growing or if you need to investigate potential issues
Geographic distribution maps your global user presence - essential for planning release schedules and understanding where your app resonates most

User activity tracking

The live user list connects metrics to actual customers:

Individual user details including company names and contact information - perfect for understanding which customers are consistently engaged and might be candidates for case studies or beta features
Session timing data helps you track engagement patterns - spot which customers might need attention based on changes in their usual usage habits
Company-level visibility lets you track adoption across organizations - valuable for identifying accounts that might be ready for expansion conversations

Page activity insights

The page views section reveals how merchants navigate your app:

Total page view tracking helps you understand overall engagement - track how new features or interface changes impact usage patterns
Popular routes and features identification - see which parts of your app deliver the most value and identify underutilized capabilities that might need promotion
Navigation path analysis - understand how customers naturally move through your app and optimize their journey to key features

Understanding your numbers

Usage metrics that matter

Web Analytics transforms basic usage data into actionable insights:

Active user metrics show your current engagement levels - track how different segments of your customer base engage with your app
Page view analysis reveals feature popularity - understand which capabilities drive the most value for your customers
Geographic distribution helps you understand market penetration - valuable for focusing marketing efforts and planning regional expansions
Usage trends highlight the impact of your improvements - see how product changes affect actual customer behavior

Time window analysis

Flexible analysis periods help you spot meaningful patterns:

24-hour default view gives you immediate insight into today’s activity - perfect for day-to-day monitoring and quick health checks
Custom time ranges let you investigate specific periods - invaluable for measuring the impact of marketing campaigns or feature launches
Period comparisons reveal important trends - understand if changes in usage patterns are temporary blips or significant shifts

Making the most of this report

Daily monitoring

Keep connected to your customer engagement:

Track active user patterns throughout the day - understanding usage cycles helps you plan deployments and support coverage for minimal disruption
Monitor geographic activity distribution - essential for global apps managing releases and maintenance across time zones
Watch for unexpected changes in engagement - early detection of unusual patterns lets you investigate and respond quickly
Follow individual customer activity - spot changes in engagement that might signal expansion opportunities or retention risks

Usage analysis

Transform usage data into business insights:

Compare activity across different time periods - understand how seasonality affects your business and plan accordingly
Track feature engagement over time - see which capabilities consistently deliver value and identify opportunities for improvement
Measure the impact of product changes - understand how updates affect actual customer behavior
Identify optimal timing for maintenance and updates - minimize disruption by scheduling work during natural low-usage periods

Pro tips

Maximize value from your usage monitoring:

Combine geographic data with time-of-day patterns to optimize global support coverage
Use company-level engagement data to identify expansion opportunities in accounts with consistent usage
Track page view patterns to guide interface improvements and feature discovery
Monitor session patterns to understand how different customer segments engage with your app

Remember: Understanding how merchants engage with your app helps you make better decisions across product development, customer success, and support. Need help making sense of your usage patterns? Our team is here to help you turn these insights into action.