Recovery Strategies
At Slicker, we understand that no two businesses are the same, and we tailor our recovery strategies to meet the unique needs of each client. Our approach leverages a combination of industry heuristics and advanced machine learning models to optimize revenue recovery.Tailored to Your Business
Our strategies analyze numerous features to make informed and individualized decisions for each customer. Key factors include:- Bank Identification Numbers (BINs): To understand issuer-specific preferences.
- Payment Time: Insights into the optimal retry windows based on customer behavior.
- Transaction Amounts: Tailoring strategies for small versus large transactions.
- Geography: Adapting to regional payment trends and customer behavior.
- Customer History: Behavioral patterns like past successful retries and engagement levels.
- Payment Method: Preferences based on credit cards, direct debits, or digital wallets.
Dynamic and Adaptive Strategies
Our retry strategies are continuously evolving. By analyzing results and incorporating feedback, we fine-tune our algorithms to improve performance over time. This ensures that your recovery efforts remain effective as market and customer conditions change.Client Control and Customization
While most parameters of the retry strategies are dynamically controlled by Slicker to maximize efficiency, we provide clients with the ability to set certain boundaries, such as:- Maximum number of retries
- Minimum time between retries