Customer Analytics
Insights into customer behavior, value, and engagement over time
Customer Analytics provides insights into customer behavior, value, and engagement over time.
The Tiquo CRM calculates a wide range of analytics based on customer activity across orders, bookings, payments, and other interactions within the platform.
These insights help businesses understand customer value, identify behavioral patterns, and monitor growth and retention.
Customer analytics appear both within customer profiles and across platform analytics dashboards.
Analytics can be viewed at multiple levels, including:
- Individual customer profiles
- Sublocations
- Locations
- Organization-wide reporting
Customer Value Metrics
Customer value metrics help businesses understand how much value a customer generates over time.
Examples include:
- Predictive Customer Lifetime Value (CLV)
- Historic Customer Lifetime Value
- Predicted CLV Uplift
- Customer Average Order Value
- Customer Total Orders
- Customer Total Spend
These metrics allow businesses to identify high-value customers and track purchasing behavior over time.
Predictive CLV is calculated using a proprietary AI model that evaluates hundreds of behavioral, transactional, and cohort-based signals across the platform.
Predictive Insights
The platform includes predictive analytics that estimate future customer behavior based on historical activity.
Examples include:
- Predictive Customer Lifetime Value
- Predicted CLV Uplift
- Expected Next Order Date Range
These insights help teams anticipate future customer activity and identify opportunities for engagement.
Customer Behavior Metrics
Customer behavior metrics track how customers interact with the business.
Examples include:
- Customer Retention Rate
- Returning Customers
- Unique Customers
- Activity Rate
These metrics help businesses understand customer engagement and loyalty.
Customer Growth Metrics
Customer growth metrics measure how the customer base evolves over time.
Examples include:
- Active Customers
- Inactive Customers
- New Customers
- Existing Customers
- Growth Rate
- Total Customers
These metrics provide visibility into how the customer base is expanding or changing.
Data Sources
Customer analytics are generated from activity across the platform.
This may include events such as:
- Orders
- Bookings
- Payments
- Visits
- Customer interactions
The analytics engine aggregates these events to produce behavioral insights and predictive metrics.
Analytics update in real time as new activity occurs within the system.
Why Customer Analytics Matter
Customer analytics transform operational activity into meaningful insights.
These insights allow businesses to:
- Identify high-value customers
- Monitor customer growth
- Understand retention and engagement
- Predict future purchasing behavior
By analyzing customer activity across the platform, Tiquo helps businesses better understand their customer base and make data-driven decisions.