Customer experience is affected
by hundreds of metrics
Your customers interact with your product and brand across multiple touchpoints, funnels and journeys, generating huge amounts of data. Monitoring logins, active users, conversion rates, retention rates, subscribers, churn and other critical KPIs across this ecosystem’s permutations is critical for ensuring the seamless customer experience that fuels your business.
Customer Experience Layers
Your customers interact with your product and brand across multiple touchpoints, funnels and journeys, generating huge amounts of data. Monitoring logins, active users, conversion rates, retention rates, subscribers, churn and other critical KPIs across this ecosystem’s permutations is critical for ensuring the seamless customer experience that fuels your business.
Human behavior is too dynamic
for manual monitoring
The frequency and types of customer interactions fluctuate according to yearly, monthly and daily seasonalities and vary according to products, countries, operating systems, and marketing and competitor activities. That’s why customer experience metrics are hard to learn and understand, and are too dynamic to be monitored with static thresholds and manual analytics.
Monitor customer experience in context
Anodot’s AI-driven autonomous monitoring technology learns the behavior and seasonality of 100% of backend and frontend customer experience data and correlates between metrics to create context and visibility.
A large gaming company using Anodot to monitor their game mechanics and user behavior was alerted to a spike in game ends for one of their leading games. Anodot's analytics correlated the spike with a parallel spike in failed micro-purchases for additional lives on iOS. By creating the context needed for fast resolution, Anodot enabled the company to resolve the issue with minimal effect to the bottom line.
A large gaming company using Anodot to monitor their game mechanics and user behavior was alerted to a spike in game ends for one of their leading games. Anodot's analytics correlated the spike with a parallel spike in failed micro-purchases for additional lives on iOS. By creating the context needed for fast resolution, Anodot enabled the company to resolve the issue with minimal effect to the bottom line.
KING
70% Incident cost reduction
Even with our massive dataflow, Anodot has proven that it can seamlessly correlate data across millions of real-time streaming metrics — alerting us immediately so we can react instantly.
Nanako Yamagashi
Director of Incidents and of Service Operations