This lesson focuses on proactive strategies to prevent tax debt from arising. It explores how predictive analytics, behavioural insights, and early intervention can reduce the volume of debt that enters the collection process.

• Why Prevention Matters: Preventing debt from arising is a more efficient approach than collecting outstanding arrears. It reduces the administrative cost and the need for enforcement actions .

• Predictive Analytics: Tax administrations use predictive analytics to understand the likelihood of certain outcomes. This includes modelling the risk that an individual or company will fail to pay, and assessing the likelihood of insolvency or other payment problems .

• Prescriptive Analytics: Prescriptive analytics goes a step further, predicting the likely impact of different actions on taxpayer behaviour. This helps administrations select the right course of action for a specific taxpayer or group of taxpayers .

• Behavioural Insights: Many administrations are employing behavioural researchers to apply behavioural insight practices. This can transform the approach to tax debt by moving away from “one-size-fits-all” strategies and instead identifying: Which cases to intervene on, when to intervene (ideally before a return or payment is due), and which action will achieve the best cost-benefit outcome .

• Targeted Early Intervention: For example, Lithuania’s State Tax Inspectorate is using a predictive model to assess the likelihood of debt repayment. The model analyses historical taxpayer data to identify patterns indicating which taxpayers are unlikely to repay within the set timeframe. This allows them to target additional recovery measures at an earlier stage .