Date Published
How CAMASYS Helps You Analyze Customers and Products Based on Rental Volume, Damage Rates & Profitability
Understanding which customers bring the most value—and which products perform best—is essential for every rental and mobility business. Not all customers behave the same, and not all vehicles or services deliver equal profitability.
The good news:
CAMASYS includes powerful analytics that allow operators to segment customers, evaluate product performance, and monitor risk factors, such as damage frequency or operational cost.
Below is how the system helps identify your best customers, highest-performing products, and hidden risk groups.
1. Customer Segmentation Based on Real Business Data
CAMASYS automatically tracks and evaluates customer behavior, allowing operators to classify:
✔ Individuals vs. companies
- corporate accounts
- tourism clients
- long-term renters
- regional partners
- loyalty customers
✔ Rental frequency
- number of rentals per customer
- average rental duration
- seasonal usage patterns
✔ Revenue contribution
- total revenue per customer
- average revenue per booking
- upsell acceptance (insurance, extras)
Why this matters
You immediately see which customers are high-value — and which require special conditions.
2. Damage Rate Tracking & Risk Profiling
CAMASYS connects damage reporting with customer profiles so you can identify patterns such as:
✔ Customers with repeated damage incidents
- more than X claims per year
- specific type of damage recurring
- damage frequency by customer group
✔ Corporate clients with unusually high damage rates
This can help negotiate better insurance terms or redesign corporate agreements.
✔ Vehicle groups with higher damage risk
Damage analytics help identify:
- which vehicles are at higher risk
- which customers cause more claims
- which branch needs training
Example:
If a company rents vans and incurs damage in 40% of rentals, CAMASYS highlights this clearly.
3. Product & Service Performance Evaluation
CAMASYS analyzes how well your products perform:
- vehicle categories (economy, SUV, EV, premium)
- add-ons (GPS, child seats, Wi-Fi units)
- insurance packages
- long-term vs. short-term rental offers
- premium services (delivery, chauffeur, after-hours pickup)
KPIs measured include:
✔ profitability per product
✔ usage frequency
✔ customer acceptance rate
✔ revenue per category
✔ operational cost vs. revenue
This identifies which products you should expand—and which should be discontinued.
4. Customer–Product Matching to Optimize Profitability
The system shows which customer groups prefer which products, such as:
- corporate clients choosing diesel or EV fleets
- tourists renting small cars, insurance, and child seats
- long-term customers preferring station wagons or hybrids
This helps companies tailor offers and set better pricing for each segment.
5. Branch & Brand-Level Customer Insights
If you operate multiple branches or brands, CAMASYS compares customer behavior across:
- regions
- branches
- brands
- product categories
This helps identify which locations attract premium customers or which require marketing adjustments.
6. Real-Life Example
A multi-branch operator using CAMASYS discovered through analytics that:
- Corporate Client A generated high revenue but suffered a 22% damage rate
- Individuals renting EVs had near-zero damage and high satisfaction
- Small SUVs had the highest demand with 90% utilization
- Add-ons like child seats were rented only 18% of the time, making storage costs too high
This data led to:
- renegotiating a new corporate agreement
- expanding the EV fleet
- reducing add-on inventory
- optimizing insurance pricing
The business increased profitability without increasing fleet size.
Conclusion
Yes — CAMASYS fully supports analyzing people, companies, and products based on rental volume, damage rates, profitability, and behavioral patterns.
With its advanced analytics and reporting tools, operators can easily identify:
- high-value customers
- high-risk customers
- successful products
- underperforming products
- branch-level and category-level performance
This transforms raw operational data into clear, actionable insights that help rental companies grow more intelligently and profitably.