What does it take to win a price war?

Advanced analytics provide the answer to customer retention

Auto insurers are facing hard times. There’s a huge price war going on, and insurers need to find a way to capture – and keep – consumers during the worst economic downturn in decades. Now, consumers are on the lookout for the least expensive coverage. How do you make data work for you in this kind of environment?

"The ability to analyze market trends and evaluate competitor pricing and products – and react almost instantly – is essential to our success. So we need the best market analytics solutions," explains Ángel Marín, Autos Technical Director of Caser Seguros.

For us, the predictive capability of SAS is essential. It’s vitally important for us to be prepared for churn and capable of launching retention initiatives quickly.

Ángel Marín
Autos Technical Director

Succeeding in a competitive crisis

“The Autos Technical Department provides services to various areas of the company – from reinsurance to commercial – with distribution channels as diverse as banking and insurance, agents and brokers, and large accounts," says Marín. “Each channel has different needs, and so the scope of operations is broad. We need a flexible solution that can grow along with us.”

To address this need, they adopted SAS® Customer Analytics, which they use in two ways:

  • To define their pricing strategy.
  • To build customer retention models.

When customer retention is vital

In a price war – where customers hop from insurer to insurer looking for the best offer – attracting and keeping loyal customers is very important. But there are plenty of challenges. So Marin says they looked to analytics to refine Caser’s price strategy and construct policy retention models.

Caser can now detect which customers are likely to leave for another insurer – before they actually do. That knowledge alerts them to begin actions to retain those customers. With SAS solutions, Caser has managed to control the lapse rate of its customers and maintain its market position despite the economic difficulties.

"For us, the predictive capability of SAS is essential. It’s vitally important for us to be prepared for churn and capable of launching retention initiatives quickly,” says Marín. “This is the best way to ensure that our retention actions are effective."

The value of information

In addition to using advanced analytics in customer loyalty and retention, Caser can anticipate other factors. For example, Caser measured the impact of regulatory changes, such as the recent ban on gender-specific pricing.

"Calculating the economic impact of a regulation of this type is very important to our bottom line,” explains Marín. “With SAS, we can quickly and reliably calculate the effect on our pricing models.”

The value of the information provided by the Autos Technical Department is felt throughout the company. "Anyone in the company who needs answers to business questions in the auto sector turns to our technical department for reliable information, precision and detail. In all business decisions, the power to detect where our profitable and unprofitable areas are – and what actions we need to take – is highly valuable to Caser."

Marín says that there is still a lot they can do to improve. And Caser isn’t sitting still. The company is already collaborating with SAS to deploy solutions to extract information faster using an increasingly larger volume of data. This information will benefit every area of Caser – not just the auto insurance department.

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Challenge

Maintain a granular and competitive pricing model to prevent customer churn.

Solution

SAS® Customer Analytics

Benefits

Improved premium pricing calculations and increased policy retention rates.

본 문서에 나오는 결과는 본 문서에 설명된 특정 상황, 비즈니스 모델, 데이터 입력 및 컴퓨팅 환경에 적합하게 되어 있습니다. 각 SAS 고객의 경험은 고유한 것으로, 비즈니스 및 기술적 변수에 따라 달라집니다. 따라서 모든 서술은 비전형적인 것이라는 점을 고려해야 합니다. 실제 절약, 결과 및 성능 특성은 개별 고객의 구성 및 조건에 따라 달라질 수 있습니다. SAS는 모든 고객이 비슷한 결과를 달성할 수 있다고 보증하거나 진술하지 않습니다. SAS 제품과 서비스에 대한 유일한 보증은 해당 제품 및 서비스에 대한 서면 계약의 보증서에 명시되어 있습니다. 본 문서의 어떠한 내용도 추가 보증을 구성하는 것으로 해석될 수 없습니다. 고객은 SAS 소프트웨어의 성공적인 구현에 따라 합의된 계약적 교환 또는 프로젝트 성공 요약의 일환으로 성공 사례를 SAS와 공유했습니다. 브랜드 및 제품 명칭은 각 기업의 상표입니다.