Soft Declines Are Temporary Problems
Soft declines account for 65% of all payment failures, and nearly all of them are recoverable with the right timing. Slicker's AI identifies the optimal retry window for each customer, turning temporary setbacks into successful payments.
Understanding Soft Decline Types
Soft declines share one thing in common: they're temporary conditions that will change. The key is knowing when to retry. Different decline reasons require different timing strategies.
Why Basic Retry Fails
Fixed-interval retries (every 3 days, etc.) ignore the underlying cause. Retrying "insufficient funds" on a random schedule has only a ~58% success rate. Timing matters.
Why Slicker Works
We analyze payment patterns, geographic pay cycles, card type behaviors, and historical success data to predict the exact optimal retry window for each customer.
Recovery Strategies for Every Soft Decline
Each soft decline type requires a tailored approach. Here's how Slicker handles the most common scenarios.
Pay Cycle Awareness
Our AI detects when customers typically have funds and schedules retries accordingly. Most recovery happens 1-3 days after typical payday patterns.
Velocity Limit Handling
When cards hit spending velocity limits, we wait for the optimal reset window before retrying. Simple but often overlooked by basic retry systems.
Network Signal Intelligence
We listen to card network response codes, including Mastercard recommendation signals, to determine the right action: retry, wait, or route differently.
Intelligent Dunning
If smart retries don't succeed within 7 days, we automatically engage email recovery with personalized messaging and easy card-update flows.
Related Failure Reasons
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