Why territory is no longer just a pricing variable, but a strategic source of insurance intelligence
by Tina Martino
The recent debate on regional disparities in Motor Third-Party Liability (MTPL) premiums confirms that geography remains a key variable for the insurance market. However, the focus is no longer merely on identifying where insurance premiums are higher. The real challenge today is identifying which factors make an area more exposed to risk, how these factors evolve over time, and how they can be transformed into actionable insights for insurers.
For decades, territory has been one of the fundamental elements in assessing MTPL risk. The rationale is straightforward: some areas experience a higher frequency of accidents, greater average claim costs, or a higher concentration of claims than others. As a result, the policyholder’s place of residence continues to have a significant impact on insurance premiums.
However, viewing territory solely as a pricing variable risk oversimplifying a much more complex phenomenon. Regional differences in premiums are merely the visible outcome of deeper dynamics, including infrastructure quality, mobility intensity, route characteristics, traffic density, observed accident rates, and driving behavior.
In a context where mobility is becoming increasingly dynamic and data is more readily available than ever, an important question arises: is it still sufficient to assess risk based on a policyholder’s place of residence, or is it necessary to understand the broader mobility environment in which the vehicle operates on a daily basis?
Many pricing models continue to interpret territory through traditional geographic categories, which often fail to capture the complexity of real-world mobility.
Two drivers living in the same area are frequently assigned a similar risk profile, even though they may travel on very different roads, move through different environments, and face entirely different traffic conditions. In other words, place of residence does not always reflect the actual mobility environment in which risk develops.
At the same time, the way people move has changed dramatically. Cities continue to expand, traffic flows are constantly reshaped, and daily mobility now spans increasingly broad and diverse territories. As a result, risk itself has become more dynamic.
For insurance companies, understanding this complexity is an increasingly important challenge.
What is needed is a new form of territorial risk intelligence—not simply a geographical snapshot of premiums or claims, but an analytical capability able to interpret territory as a living system, shaped by flows, behaviors, and varying exposure conditions.
From Geography to Real Mobility
The evolution of telematics and data analytics has introduced a new perspective: observing not only who is driving, but also the environment in which driving takes place. Today, multiple data sources can be integrated to build a more comprehensive representation of territorial risk, including:
- Infrastructure risk;
- Historical accident records within the area;
- Mobility exposure, traffic intensity, and weather conditions;
- Trip Score, a statistical assessment of the average risk level of trips that originate, end, or pass through a specific area.
Among these factors, the Trip Score introduces a behavioral dimension into territorial analysis by linking area risk to actual observed driving styles. Together, these insights make it possible to move beyond a purely geographical perspective and develop a more accurate understanding of the mobility environment.
This is where the perspective shifts: territory is no longer viewed merely as the place where the policyholder lives, but as the set of real environments—across both space and time—in which the vehicle moves, is exposed to traffic, travels through different infrastructures, and encounters varying levels of risk.
The true innovation, however, is not simply the use of more data. It lies in transforming territory into an information asset using telematics data.
By combining multiple layers of information—including road infrastructure, observed claims experience, mobility intensity, and driving behavior—it becomes possible to create a composite risk indicator capable of highlighting significant differences even within the same municipality or province.
This approach enables insurers to gain a more granular understanding of actual risk exposure. In this context, OCTO has developed a Risk Heatmap that integrates infrastructure data, claims information, mobility exposure, and behavioral indicators, transforming territory into genuine territorial risk intelligence.
This is not about adding another map to insurance processes. Rather, it is about enabling a deeper understanding of territorial differences—one that helps distinguish between areas that may appear similar from an administrative perspective but differ significantly in terms of exposure, actual mobility patterns, and risk profile.
A New Tool for Underwriting and Pricing
A more advanced territorial view can support a variety of insurance processes.
During quotation, it helps assess new customers even when individual telematics data is not yet available. In underwriting, it enables more precise risk segmentation. In portfolio management, it allows insurers to identify critical territorial concentrations and opportunities for optimization.
Prevention initiatives can also benefit from this approach through targeted coaching programs, contextual alerts, and more effective customer engagement strategies.
Furthermore, this methodology enables a shift from a predominantly reactive approach—based on historical claims observation—to a more predictive and operational model, capable of supporting insurance decisions that are more sustainable, targeted, and aligned with actual risk exposure.
The Next Evolution of Motor Insurance
Motor insurance is gradually evolving from a model focused on observing the past toward one increasingly capable of understanding and anticipating risk.
Following the introduction of telematics and behavioral analytics, the next step is to integrate a deeper understanding of the mobility environment in which customers are truly exposed to risk, moving beyond simple geographic residence data or administrative boundaries.
In this scenario, tools such as Risk Heatmaps represent a new generation of territorial models: not merely geographic maps, but intelligence platforms capable of correlating all risk variables, transforming complex data into operational insights, and supporting insurance companies as they become increasingly focused on personalization, technical sustainability, and prevention—the ultimate social objective.