Common Use Cases for Montoux

With Montoux’s price sensitivity and optimization capability life insurers can determine optimal pricing strategies that meet their business objectives.

Common challenges

Most life insurers today have limited or no understanding of price sensitivity in relation to sales or lapses, and lack the tools they need to perform regular, automated optimization.

  • Manual scenario comparisons that find sub-optimal pricing strategies
  • Difficulty in balancing value and volume objections and constraints into the pricing process (especially while factoring in price sensitivities)
  • Difficulty managing and balancing conflicting stakeholder opinions and priorities

How our customers use Montoux

Across the board, Montoux users gain deeper, more granular insights into their pricing. Depending on company priorities and constraints, these capabilities are put to use for a range of different purposes, including:

  • Re-pricing exercises
  • Pricing reviews and monitoring
  • Competitor analysis
  • Understanding price / sales sensitivities
  • Understanding price / lapse sensitivities
  • New product pricing
  • Campaign analysis

Real-world outcomes

With Montoux, life insurers gain market leading capability that equips them to make evidence-based decisions about their pricing. They are able to generate optimal pricing strategies that improve sales and retention outcomes (value, volume, lapse rates). Our customers have gained:


improved business value


improved sales

Make more sense of your data, invest in meaningful innovation

No other solution provides this purpose-built combination of data science, actuarial wisdom and powerful optimization algorithms, designed for the future of life insurance.

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