Maire for insurance
Visualise evolving consumer demand with real-time online search data
Trend analysis
Stay ahead with insights into market shifts
Customised policies
Tailor offerings to match client needs
Understand customer demand 18m in advance
Deep insights into emerging patterns
Discover new insights into risk categories
Harness the power of advanced search data analysis to gain a deeper understanding of risk categories. By analyzing search trends and volumes, insurance companies can uncover detailed insights into client interests and behaviors within various risk categories. This granular view helps identify areas of increasing risk exposure, stabilize others, and reveal potential gaps in coverage. With this enhanced understanding, insurers can anticipate emerging trends, refine their policy offerings, and make strategic decisions that align with real client needs.
Strategic market positioning
Enhanced risk assessment
Tailored policy Offerings
Clients creating an unfair competitive edge with Maire
Analyse risk category demand structure
Understanding the demand structure within various risk categories is crucial for insurance companies. By analysing how demand is distributed across different insurance products or services, insurers can tailor their offerings to better meet market needs. This approach leverages search data insights to understand preferences, purchasing patterns, and emerging trends in risk coverage.
By comparing different risk categories, insurers can identify which areas are thriving and which are underperforming. This market analysis highlights strengths, weaknesses, and high-demand coverage areas, allowing insurers to adjust their strategies accordingly. Staying informed on market trends and evolving client preferences enables insurers to focus on categories with the greatest growth potential.
Case example: Vehicle insurance subcategory demand structure
Identify fastest growing and declining categories
Utilising data analysis to uncover the fastest-growing and declining risk categories offers a crucial advantage for strategic decision-making in the insurance sector. By monitoring client interest trends, insurers can pinpoint which coverage areas are experiencing increased demand, allowing them to capitalise on emerging opportunities.
Recognising categories with declining interest provides valuable insight into changing client preferences. This foresight enables insurers to proactively adjust their coverage strategies, focus less on underperforming areas, and reallocate resources to more promising risk categories.
Overall, leveraging data to detect trends in growth and decline ensures that insurers stay responsive to market dynamics and optimise profitability.
Case example: Vehicle insurance subcategory growth
Discover gaps in your coverage
Identifying gaps in your insurance offerings reveals unmet client needs and potential market opportunities. By analysing search trends and query volumes, insurers can uncover what clients are searching for but not finding in their current policies. This insight allows you to adjust your coverage options to better meet market demand.
Understanding these gaps helps you refine your policy range and make informed decisions about new products or services to introduce.
By addressing these missing elements, you can enhance client satisfaction and tap into new market segments, ensuring your offerings remain relevant and competitive.
Overall, leveraging data to pinpoint deficiencies in your coverage enables more strategic planning and targeted development. This approach ensures your policies align closely with client preferences, driving growth and strengthening your market position.
Case example: Vehicle insurance subcategory demand structure
Identify product mix discrepancies within categories
Identifying inconsistencies in your coverage offerings reveals how well your current policies align with client needs. By examining search activity and query volumes, you can determine which insurance products are attracting significant interest and which are not. This analysis highlights areas where your policy range might be lacking or experiencing oversaturation.
Discrepancies become apparent when some policies generate high search volumes while others, which could address unmet client needs, receive little attention.
By evaluating these patterns, you can adjust your coverage options to better meet client demand and address areas with considerable interest but limited availability.
Addressing these gaps ensures that your policy offerings remain optimised to reflect changing market trends. This approach supports more effective management of your product portfolio, enhances client satisfaction, and boosts your competitive edge by aligning your offerings with actual client needs and interests.
Case example: Vehicle insurance subcategory demand
Monitor demand for your entire coverage portfolio in real time
Keeping a close watch on your entire range of insurance products is crucial for understanding demand across various categories and ensuring your offerings align with client preferences. By real-time tracking of each product's performance, you can spot emerging trends and shifts in client behaviour, enabling you to adjust your policies to better address market needs. This holistic approach ensures that your portfolio stays relevant and competitive, enhancing client satisfaction and loyalty.
Additionally, analysing and comparing the performance of different coverage options reveals which categories are thriving and where opportunities for growth exist. By identifying these trends, you can discover areas for expansion or refinement, investing in the most promising segments. This strategic oversight not only optimises your current policy range but also lays the foundation for future innovation and long-term success.
Case example: Insurance market demand structure
Know what type of policies are in demand 18 months in advance
Leveraging advanced analytics allows you to forecast policy demand up to 18 months ahead. By analysing search trends you can anticipate which types of insurance policies will become popular in the future. This forward-looking approach enables you to adjust your policy offerings proactively, ensuring that you stay ahead of market trends and meet future client needs effectively
Preditct demand 18m in advance
Proactive adjustments
Enhanced planning
Recognising seasonal fluctuations in demand
Recognising seasonal fluctuations in demand through data analysis reveals how customer interest varies throughout the year. By monitoring trends across different seasons, you can identify consistent patterns of high and low activity. This understanding allows you to anticipate changes in demand and adjust your resources and strategies accordingly.
Grasping these seasonal trends aids in optimising resource allocation to meet expected increases in demand, minimising the risk of shortages or excess.
It also enables more precise planning for promotional activities, ensuring that efforts are aligned with periods of increased customer engagement.
Incorporating an awareness of seasonal demand into your planning ensures that your operations are well-equipped to handle changes in customer behaviour. This approach improves efficiency and enhances customer satisfaction by ensuring the right services are available when needed, leading to improved performance and responsiveness in the market.
Case example: Motorcycle insurance category seasonality timeline
Anticipate future demand
Using four years of historical data for demand forecasting enhances your ability to plan ahead and align your business strategies with expected market trends. This approach ensures that you are well-prepared to meet future demand, maintain operational efficiency, and seize new opportunities.
Our predictive models identify long-term trends, seasonal variations, and changes in customer behaviour.
This historical insight allows us to forecast future demand with greater precision, accounting for both consistent patterns and unexpected fluctuations.
Leveraging this data helps to refine resource management and operational planning. Understanding past demand trends enables you to anticipate future requirements, minimise the risk of shortages or surplus, and optimise your operational processes. Additionally, it aids strategic decision-making by highlighting potential market opportunities and areas where improvements can be made.
Case example: Motorcycle insurance category demand forecast (18m)
Optimise policy availability
Optimising the offering of your insurance policies by ensuring that your offerings align with actual market demand. By accurately forecasting customer needs and aligning your policy offerings accordingly, you minimise the risk of having too many or too few policies available, which can lead to inefficiencies and missed opportunities. This careful approach ensures that policies are readily available when needed, without the complications of excess.
Utilising data-driven insights to predict demand more precisely allows you to maintain the ideal range of policies, ensuring that customer requirements are met without overwhelming your resources.
Overall, adopting a strategic approach to policy management not only enhances operational efficiency but also supports better business outcomes. By reducing both oversupply and undersupply, you improve your service delivery and strengthen your overall business performance.
Case example: Motorcycle insurance demand timeline
Understand brand demand
Understanding brand demand involves analyzing how consumer interest in your brand, and the brands of your competitors, fluctuates over time and across different market segments. This understanding helps you tailor your product offerings, and align your business operations with actual consumer preferences.
Targeted marketing
Optimized policy offerings
Informed business strategy
Understand policy brand demand by category
Understanding policy demand by category offers valuable insights into how different insurance products are perceived and sought after within various segments. By analysing customer interest and purchasing behaviour across categories, you can identify which policies are in high demand and which are underrepresented.
Aligning your offerings with these insights allows you to tailor your portfolio to better meet customer needs.
If certain policies are leading a category and showing strong demand, you can focus on promoting those products or developing similar offerings. Conversely, if a policy is underrepresented in a growing category, this data can guide strategic decisions to enhance its presence and capture a larger share of the market.
Overall, leveraging insights into policy demand by category supports more informed and strategic decision-making.
Case example: Insurance brand demand analysis
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