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Slicker

Recover payment failures and maximize recurring revenue

Usage Based
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Description

Slicker assists businesses in maximizing their recurring revenue by tackling involuntary churn resulting from failed payments. Employing a proprietary AI engine, the platform automates the process of monitoring, detecting, and recovering unsuccessful subscription payments. It analyzes each failed transaction individually, effectively converting past-due invoices into revenue without requiring manual oversight.

The core of Slicker is its advanced machine learning model, which optimizes payment retry schedules by considering numerous parameters and leveraging industry expertise. It integrates seamlessly with major billing and payment systems like Stripe, Chargebee, Recurly, and others, offering a quick, no-code setup process completed within minutes via its dashboard. Additionally, Slicker provides comprehensive analytics and maintains transparency by allowing users to audit the AI's actions.

Key Features

  • AI-Powered Payment Recovery: Automatically monitors, detects, and recovers failed subscription payments using AI.
  • Optimized Retry Logic: Employs machine learning to schedule retries at optimal times based on tens of parameters.
  • Dynamic Error Interpretation: Analyzes generic payment errors, considering issuer differences and history to determine retry viability.
  • Multi-Gateway Support: Leverages multiple payment gateways to route payments and maximize success rates.
  • No-Code Setup: Quick 5-minute integration via dashboard without requiring engineering resources.
  • Transparent AI Engine: Allows users to inspect, audit, and review all AI actions within the dashboard.
  • Seamless Integration: Works with popular billing platforms (Stripe, Chargebee, Recurly, etc.) and complements existing churn strategies.
  • In-depth Payment Analytics: Provides insights into trends across customers, geographies, banks, and payment errors.
  • Proactive Customer Retention: Highlights at-risk customers likely to experience payment failures.

Use Cases

  • Reducing involuntary churn for subscription-based businesses.
  • Maximizing recurring revenue by recovering failed payments.
  • Automating the dunning process for past-due invoices.
  • Improving payment success rates across multiple gateways.
  • Gaining insights into payment failure patterns and trends.
  • Proactively identifying and managing at-risk customers.

Frequently Asked Questions

I thought my billing provider offers this.

Billing providers use a limited and/or static approach. All of our users see a 2-4x improvement in recoveries compared with their existing system.

What integrations does Slicker support?

Slicker supports popular billing and payment platforms, such as Stripe, Chargebee, Recurly, Zuora, and Recharge, as well as in-house systems.

Can I configure Slicker retry settings?

While we recommend leaving all decisions to the Slicker engine, you can set up guardrails like maximum number of retries.

What results can I expect?

Slicker customers usually see between a 10 and 20 percentage point increase in the number of recovered payments.

Can I proactively retain customers?

Yes, Slicker highlights at-risk customers that are likely to experience a payment failure. You can use our managed solution to add a banner to your product with one line of code.

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