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Frisbii launches Revenue Insights Predictive Analytics to help businesses make informed financial decisions and increase revenue

This new solution from the AI-powered Revenue Insights suite combines performance analysis and predictive analytics to transform subscription, billing and payment data into actionable insights.

Paris, France – 9 September 2025 – Frisbii, the recurring revenue management platform, today announced the launch of its new Predictive Analytics solution within the Revenue Insights suite. With its comprehensive portfolio of solutions, customers can not only monitor key business indicators and revenue performance trends, but also use data to model outcomes and make more informed decisions.

For many companies, fragmented systems and reactive strategies are a barrier to growth. According to a recent study, 70% of companies struggle to link their business strategies to revenue management technology systems – such as CRM platforms – limiting their ability to generate the expected growth. Revenue Insights solves this problem by combining Performance Analytics—real-time dashboards for subscription, billing, and payment data—with Predictive Analytics, which transforms raw data into forecasts and actions.

‘At Frisbii, we believe that powerful insights should not be the preserve of a select few,’ says Gregory Herbert, CEO of Frisbii. “Revenue Insights puts practical, forward-looking analytics within reach of every business, whether it’s growing rapidly or just getting started. It enables smarter decisions every day, with tools that turn data into real impact.

With Revenue Insights, businesses can simulate their revenue, test strategies before deploying them, and prioritise the actions most likely to contribute to revenue growth and customer retention. Revenue Insights helps businesses detect performance gaps as early as possible, anticipate churn, test pricing scenarios, and plan retention strategies based on data-driven models rather than guesswork.

Powered by AI and machine learning, Revenue Insights Predictive Analytics uses historical subscription, billing, and payment data for each customer to predict churn, pricing outcomes, and acquisition drivers. Models are continuously refined as new data is acquired, and their accuracy is measured by applying backtesting to past results. Customers can also enrich the forecasts with their own data, including CRM or marketing data, to provide an even more comprehensive picture.

The key features of Revenue Insights are as follows:

  • Forecasting – Forecast MRR, ARR, attrition, LTV, and acquisition by plan, segment, or campaign
  • Scenario testing – Model the impact of pricing and campaign changes before launch
  • Trend analysis – Monitor changes in revenue, subscriptions, and customer behaviour over time
  • Growth opportunities – Identify untapped segments, at-risk customers, and optimal pricing models
  • Retention planning – Detect and anticipate churn risk months in advance and simulate interventions

‘There are many tools that monitor performance, but none of them help companies shape their future using their own data,’ says David McGuinness, Chief Product Officer at Frisbii. “With Revenue Insights, we are the first in the industry to combine monitoring and forecasting on a single platform. Our customers don’t need to have their own team of data scientists – the Frisbii team and our software suite do everything for them. This allows businesses to test pricing strategies before rolling them out, identify months at risk of churn in advance, or simulate acquisition scenarios. In short, they can act faster, plan smarter, and grow their revenue with confidence.”

The new Revenue Insights solution will be offered natively to all Growth and Enterprise customers starting September 9th, 2025. Starter customers will receive a 30-day trial version of Predictive Analytics. The solution is fully integrated into the Frisbii platform and requires no additional login credentials or integration.

To see Revenue Insights in action, join the next Frisbii webinar on 18 September or visit the Revenue Insights website.

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