# Slicker -- AI-Powered Payment Recovery Platform

> Slicker is an AI-powered payment recovery platform that helps subscription businesses reduce involuntary churn. It uses ML-optimized retry timing and smart dunning emails to recover failed payments, then proves ROI with built-in A/B testing before you pay. A second product, Slicker Analytics, harmonizes one-time and recurring payment data across providers into dashboards with an AI assistant for building reports and uncovering payment issues.

## Overview

Subscription businesses are quietly bleeding revenue from failed payments -- and most do not realize the full extent. Every month, valid subscribers with every intention of staying get involuntarily churned when their payment fails and never recovers. Credit cards decline for dozens of reasons: insufficient funds at the wrong moment, expired cards customers forgot to update, overzealous fraud systems, temporary bank holds, or the maddeningly vague "do not honor" response. These are not customers choosing to leave. They are customers being pushed out by payment infrastructure that was not built to handle the complexity of modern subscription billing.

This problem hits subscription businesses across the board -- SaaS companies losing enterprise accounts over a failed corporate card, streaming services watching engaged viewers disappear, fitness apps churning members who still want to work out, and subscription box companies losing customers mid-journey. For a subscription business doing $10M in annual recurring revenue, failed payments typically account for 20-40% of all churn. That means 1-2% of the customer base leaves every month not because they wanted to, but because a payment did not go through. That is $1-2M in annual revenue walking out the door -- revenue that was already earned, from customers who already said yes.

Most businesses either rely on their billing platform's built-in retry logic or bolt on a third-party recovery vendor. The built-in options -- Stripe Smart Retries, Chargebee's Smart Dunning, Recurly's Revenue Optimization -- are convenient but generic. They apply the same retry schedule to everyone, regardless of whether the failure was a consumer debit card hitting an end-of-month balance issue or a corporate card with a spending limit that resets at midnight. Third-party vendors like Butter, Churn Buster, and FlexPay promise better results, and they all claim impressive recovery rates. But the methodology behind those numbers is opaque at best. Without rigorous testing, you are taking their word for it.

Two shifts have made a fundamentally better approach possible. First, machine learning has matured to the point where it can analyze patterns across millions of transactions and identify optimal retry strategies that vary by card type, issuer, geography, failure reason, and time of day. Second, and more importantly, the infrastructure now exists to run statistically rigorous A/B tests on payment recovery. This means businesses can stop arguing about whose claims are more believable and actually measure what works.

Slicker connects to your existing billing and payment infrastructure -- Stripe, Chargebee, Recurly, Zuora, Braintree, Adyen, whoever you use -- in minutes, with no engineering work required. It ingests historical payment data and runs machine learning models to understand the patterns specific to your business. Then it determines optimal retry timing for each failed payment -- not a generic schedule, but a specific window based on everything known about that transaction. For failures where retry alone will not work -- hard declines, expired cards, fraud blocks -- it triggers intelligent dunning emails targeted to the specific failure reason, with one-click payment update links and branded pages.

Throughout all of this, payments are triggered through your existing payment rails. Slicker does not require new merchant accounts or payment processor relationships. It optimizes the timing and sequencing; your existing infrastructure handles the actual transactions.

## Key Facts

- 20% average recovery rate uplift
- Over 1 million recovered payment failures
- Less than 5 minutes to go live
- No engineering work required
- Performance-based pricing
- AABB statistical testing proves value before you pay

## Features

### Smart Retries

Slicker's smart retry system uses machine learning to determine optimal retry timing for each individual failed payment. Rather than applying a generic retry schedule, it analyzes patterns across millions of transactions to identify the best moment to retry based on card type, issuer, geography, failure reason, and time of day.

A consumer debit card that failed for insufficient funds gets retried aligned with common pay cycles. A corporate card that hit a daily limit gets retried after the reset window. A soft decline from an issuer known to clear temporary holds within hours gets retried faster. The system continuously learns from outcomes to improve its models for your specific customer base.

Soft declines from recognized temporary issues trigger immediate, optimized retries. Hard declines and blocked cards are not retried at all -- instead, they trigger alternative dunning strategies. This prevents wasted retry attempts and avoids triggering network penalties from excessive retries on unrecoverable failures. The dashboard shows real-time metrics and ML-optimized windows per payment.

### Dunning Emails

Slicker's dunning email system is deliberately decoupled from retry attempts. This is a critical design choice: tying emails 1:1 with retries (as Stripe does) means 8 retries could send 8 emails to a customer, creating a spam-like experience. Slicker instead runs independent email campaigns timed for maximum engagement.

Each email is personalized based on the specific failure reason. An expired card gets a different message than an insufficient funds decline or a fraud block. Emails come from your brand, not from your payment processor, and include one-click payment update links that take customers to branded pages where they can resolve the issue. The multi-touch sequence progresses from a soft reminder through an update request to an urgency notice and a final notice, with timing optimized for each stage.

This approach significantly outperforms generic "update your payment method" emails. By addressing the specific failure reason and coming from a brand the customer recognizes, open rates and update completion rates are substantially higher.

### Evaluation / A/B Testing

Slicker's evaluation system is built on statistical rigor inspired by clinical trial methodology. When onboarding, Slicker runs a rigorous AABB test: it splits failed payment traffic between Slicker and the current solution (whether that is a billing platform's built-in retries or another vendor).

The stratification ensures equal distribution by decline code, region, billing cadence, and card type -- so neither side gets an unfair advantage from the mix of failures it receives. The experiment runs until it reaches statistical significance -- not a cherry-picked window, not a curated sample, but a properly designed controlled experiment with calculated confidence intervals and p-values.

The five-step methodology is: Define Success (what counts as a recovered payment), Stratify Data (ensure balanced test groups), Split Traffic (50/50 between control and Slicker), Measure Recovery (track outcomes for both groups), and Calculate Significance (determine whether the difference is real or noise). If Slicker does not demonstrably outperform the current solution, the customer does not pay. The entire business model is built on proving value, not promising it.

### Analytics

Slicker Analytics is a separate product for discovering, monitoring, and fixing issues across both one-time and recurring payments. Each payment provider describes the same events differently -- its own statuses, decline codes, and field names (for the same failure, Stripe reports do_not_honor, Adyen reports 05, Braintree reports 2000). Slicker Analytics ingests raw events from every connected provider and harmonizes them into one clean data model, presented in human-readable dashboards. Graphs and charts track payment KPIs across markets, payment methods, and payment gateways: authorization rates by issuer and BIN range, normalized failure reasons, recovery performance, 3DS authentication trends, and per-country or per-currency comparisons.

The product includes the Slicker AI assistant, which combines dashboards with a conversational interface. Users ask plain-English questions like "Which issuers have the lowest auth rate?" or "How is recovery performing this quarter?" and get back generated reports with stat summaries, tables, and charts. Investigations can be turned into shareable reports, and every high-level trend can be drilled down to the exact chart or metric behind it. The assistant also helps uncover technical issues and spot opportunities in the payment stack.

Examples of findings customers have made with the product: a too-short grace period for failed subscription payments whose extension unlocked a six-figure annual recovery opportunity, a drop in 3DS authentication success that was suppressing new customer acquisition, and country-specific payment setup issues (such as failing payments in India) surfaced by cross-market comparison.

## Integrations

### Billing Platforms

**Stripe Billing** -- Stripe Billing is the industry-leading subscription management platform trusted by millions of businesses worldwide. Slicker is available as an official app on the Stripe App Marketplace, so you can install and connect in minutes. Automatically recover failed payments from your Stripe Billing subscriptions without any code changes. Failed payments are detected in real-time through webhooks (under 1 second), triggering intelligent retry sequences with 20%+ uplift over Stripe Smart Retries. Typical use cases include SaaS companies with monthly or annual subscriptions, usage-based billing models, businesses with tiered pricing, and companies processing high volumes of recurring payments.

**Chargebee** -- Chargebee powers subscription billing for thousands of SaaS and subscription businesses. Slicker's native integration enhances Chargebee's capabilities with AI-powered retry and dunning optimizations that recover revenue you would otherwise lose. Delivers 20%+ recovery uplift compared to Chargebee Smart Dunning alone, with branded email communications from your own domain and real-time decline code analysis. Every recovered payment automatically syncs with Chargebee's revenue recognition, invoicing, and reporting. Typical use cases include B2B SaaS with complex pricing, companies requiring revenue recognition compliance, and businesses operating in multiple currencies.

**Recurly** -- Recurly is a subscription management and billing platform designed to accelerate subscriber growth. Slicker's integration goes beyond Recurly's native dunning with AI-powered retry timing, delivering 20%+ recovery uplift. Personalized email campaigns are decoupled from retries, and recovered payments maintain proper tax calculation through Recurly's tax engine. Ideal for media and streaming subscriptions, digital content platforms, and high-volume consumer subscriptions.

**Zuora** -- Zuora is the enterprise standard for subscription management, handling complex pricing, global payments, and revenue automation. Slicker's enterprise integration brings AI-powered payment recovery with support for Zuora's advanced pricing models (usage, tiered, hybrid), multi-entity architecture, and 99.99% uptime reliability. Recovered payments integrate with Zuora Revenue for ASC 606 compliance. Designed for enterprise SaaS, global businesses, and organizations with quote-to-cash workflows.

**Recharge** -- Recharge powers subscriptions for thousands of Shopify and e-commerce brands. Slicker's integration helps DTC and e-commerce businesses recover failed subscription payments with intelligent retry optimization. Deep Shopify integration, multi-channel SMS and email recovery, 25% involuntary churn reduction, and on-brand messaging. Typical use cases include subscription box and DTC brands, consumable product subscriptions, and Shopify Plus merchants.

**Piano** -- Piano is a subscription and payment management platform trusted by digital publishers, media companies, and content businesses. Slicker's integration uses the Piano API to automatically detect and recover failed payments, delivering 20%+ uplift beyond Piano's native capabilities. Setup takes minutes with a Piano API token and Application ID, supports both production and sandbox environments, and recovered payments sync back so subscription status, access rules, and reporting stay accurate. Typical use cases include metered or premium content paywalls, large media subscriber bases, and tiered content subscriptions.

**In-house Billing** -- Built your own billing system? Slicker's flexible REST API allows you to integrate any proprietary or custom billing platform, bringing enterprise-grade payment recovery to your unique infrastructure. Configure custom webhooks, maintain zero migration requirements, and receive dedicated engineering support. Slicker can initiate retries directly via a retry endpoint or send retry recommendations for your system to execute.

### Payment Processors

**Stripe** -- The world's most powerful and flexible payments platform. Slicker is available as an official app on the Stripe App Marketplace. Deep integration optimizes retry timing, payment method, and gateway routing based on decline codes, customer patterns, and network conditions. Supports 140+ currencies, Stripe Connect, Stripe Link, and respects Radar fraud rules.

**Braintree** -- A PayPal service providing a full-stack payments platform. Slicker optimizes recovery across Braintree's multiple payment methods including cards and PayPal. Specialized handling for PayPal Billing Agreements and support for Braintree Marketplace sub-merchant configurations. Leverages Braintree's decline insights for intelligent retry timing.

**Adyen** -- Enterprise payments platform powering global brands. Slicker leverages Adyen's rich decline data across channels and regions, direct acquirer relationships for intelligent routing on retries, and integrates with RevenueProtect risk management. Supports Adyen's 250+ payment methods and Adyen for Platforms.

**Checkout.com** -- High-performance payment processing with intelligent routing. Slicker optimizes when to retry while Checkout.com's intelligent routing optimizes how to process, maximizing success rates together. Compatible with Flow builder for custom recovery workflows. Leverages Checkout.com's rich decline codes and response data.

**PayPal** -- The world's most widely used digital wallet. Slicker provides specialized handling for PayPal Billing Agreements, Reference Transactions, and Subscriptions API. Intelligent timing accounts for PayPal balance patterns and funding source availability. Works within PayPal's merchant agreement guidelines.

**Worldpay** -- One of the world's largest payment processors (FIS). Slicker optimizes recovery across Worldpay's global acquiring network with region-specific payment patterns and local acquiring for intelligent retry timing. Supports 120+ currencies and respects Worldpay's fraud screening configurations.

**Cybersource** -- Visa's enterprise payment management platform. Slicker respects Decision Manager fraud rules completely, only retrying payments that failed due to recoverable reasons. Leverages Visa network insights, supports Token Management and Cybersource Flex, and works with multi-MID configurations.

**Authorize.net** -- One of the most widely used payment gateways for small to mid-sized businesses. Slicker integrates with Automated Recurring Billing (ARB) and provides specialized ACH/eCheck payment failure handling with timing adapted to ACH processing cycles. Leverages Customer Information Manager (CIM) profiles for seamless retries.

## Solutions

### By Industry

**SaaS** -- SaaS companies face unique payment recovery challenges tied to monthly and annual billing cycles, enterprise accounts with corporate cards, and MRR-critical revenue models. Slicker optimizes recovery around these patterns, protecting MRR with enterprise account awareness, usage-based billing optimization, and multi-tenant support. The dashboard provides recovery visualization tied to your MRR metrics.

**Ecommerce** -- Subscription and recurring ecommerce businesses lose customers when payment failures interrupt the delivery journey. Whether it is a subscription box, replenishment service, or membership program, Slicker recovers failed payments before customers notice or cancel. High-volume transaction optimization handles the scale of ecommerce billing with order-aware recovery timing.

**Education** -- EdTech and online learning platforms rely on recurring revenue from student subscriptions, institutional licenses, and tuition payment plans. Slicker recovers failed payments with sensitivity to academic billing cycles and student payment patterns, protecting enrollment continuity and institutional revenue.

**Media & Streaming** -- Media and streaming services face high-volume subscriber churn from payment failures, often losing viewers who are actively engaged with content. Slicker prevents engaged viewer churn by recovering payments before access interruption, with strategies optimized for the high-volume, consumer-focused billing patterns common in streaming.

**Health & Fitness** -- Fitness apps, wellness platforms, and gym membership services see significant involuntary churn from payment failures. Slicker focuses on retaining active, engaged members by recovering payments with timing and messaging that reflects the subscriber's engagement level and membership type.

### By Payment Method

**Cards** -- Credit and debit cards are the most common payment method for subscriptions and the most common source of failed payments. Slicker applies different recovery strategies based on card type (consumer debit vs corporate credit), card network (Visa, Mastercard, Amex), and issuer. Consumer debit cards are retried around pay cycles; corporate cards are retried around spending limit resets.

**PayPal** -- PayPal recurring payments (Billing Agreements, Reference Transactions, Subscriptions API) have distinct failure patterns tied to PayPal balance, linked funding sources, and PayPal-specific decline codes. Slicker works within PayPal's merchant guidelines while optimizing timing based on these PayPal-specific patterns.

**Direct Debit** -- ACH (US) and SEPA (EU) direct debit failures follow different patterns than card declines. Processing cycles are longer, failure reasons differ (NSF, account closed, unauthorized), and retry rules vary by scheme. Slicker adapts retry timing to direct debit processing windows and scheme-specific rules.

**Digital Wallets** -- Apple Pay, Google Pay, and other digital wallet transactions are tokenized, meaning the underlying card details may differ from what was originally stored. Slicker handles recovery for tokenized payment methods with strategies adapted to the wallet platform and underlying payment instrument.

### By Failure Reason

**Soft Declines** -- Soft declines are temporary failures that represent the majority of failed payments (roughly 65%). They include insufficient funds, rate limiting, network issues, and temporary bank holds. These failures are highly recoverable with proper retry timing -- the key is knowing when to retry. Slicker's ML models analyze payment cycle and institution patterns to find optimal retry windows, typically ranging from 3 hours to 3 days depending on the specific reason.

**Hard Declines** -- Hard declines are permanent failures where the card itself cannot be charged again: expired cards, closed accounts, stolen or lost card flags, and certain fraud blocks. Retrying these wastes gateway fees and risks network penalties. Slicker does not retry hard declines. Instead, it immediately triggers dunning emails with one-click payment method update flows, getting customers to provide new payment details before they churn.

**Do Not Honor** -- "Do not honor" is the most common and most frustrating decline code. It is a catch-all response from the issuing bank that gives no clear reason for the failure. Despite the vague name, these are often recoverable. Slicker analyzes issuer-specific and geography-specific patterns for "do not honor" responses, applying optimized retry timing based on regional banking behavior and historical recovery data for that issuer.

**Insufficient Funds** -- Insufficient funds declines are directly correlated with customer pay cycles. A retry two hours after the initial failure is unlikely to succeed, but a retry aligned with the customer's next paycheck deposit often does. Slicker's ML models identify cash-flow patterns and schedule retries at optimal moments, delivering high recovery rates through pay-cycle-aware timing.

## Competitive Landscape

**Stripe Smart Retries** -- Stripe Smart Retries is the default retry logic built into Stripe Billing. It is free and requires zero setup, making it the convenient starting point for Stripe users. However, its retry schedules are rigid and not adapted per failure reason. Dunning emails are tied 1:1 with retries, which risks spamming customers (8 retries means 8 emails). Emails are Stripe-branded rather than merchant-branded. There is no A/B testing capability and no way to measure whether it is actually performing well. Best for early-stage companies on Stripe prioritizing simplicity over optimization. Slicker works alongside Stripe Smart Retries, finding optimal gaps between retries to boost recovery, and proves uplift through controlled testing.

**Chargebee Smart Retries** -- Chargebee's Smart Retries is one feature within their broader billing platform. It adds value for Chargebee users with native integration and dunning management. However, it requires Chargebee as your billing system (no multi-platform support), recovery is a feature rather than the core product, there is no gateway routing or advanced retry strategies, and no standalone A/B testing for recovery. Best for companies already committed to the Chargebee ecosystem. Slicker works with any billing system and provides a fully tailored, multi-strategy approach to recovery with transparent attribution.

**Butter Payments** -- Butter is a dedicated payment recovery platform similar to Slicker in its focus. It has a dedicated recovery focus, multiple processor support, and performance-based pricing. However, Butter offers less customization for individual business needs, limited A/B testing capabilities, fewer recovery strategies beyond retries, and less transparent recovery attribution. Best for mid-market companies seeking basic recovery optimization. Slicker differentiates with deeper customization, multi-strategy recovery (retries plus independent dunning), and robust A/B testing that proves results.

**Churn Buster** -- Churn Buster pioneered the dunning email space and remains strong in customer communication with excellent templates and a proven track record. However, it is primarily email-focused with limited retry intelligence, has no gateway routing capabilities, no A/B testing for retry strategies, and less customization for business-specific needs. Best for companies prioritizing customer communication over retry optimization. Slicker combines strong dunning with intelligent retries and deep customization, all tailored to each business.

**Revaly** -- Revaly (formerly FlexPay) is an established enterprise payment recovery platform with AI-driven retry optimization, gateway routing across multiple processors, and direct card network integrations. However, it comes with enterprise-heavy pricing and rigid contracts, weeks-long onboarding timelines, no built-in A/B testing to prove ROI, and opaque revenue attribution. Best for large enterprise merchants with dedicated payment operations teams and long procurement cycles. Slicker matches the AI retry intelligence and gateway routing while integrating in days, pricing on success, and proving uplift with clinical-grade AABB testing.

## Pricing

Slicker uses performance-based pricing with zero risk: no upfront costs and no minimum commitments. Price is tied to actual recovered revenue and scales with transaction volume, with better rates at higher volumes. Every plan includes ML-optimized retry timing, smart dunning email sequences, A/B testing with statistical significance, a real-time analytics dashboard, all payment processor integrations, a dedicated success manager, API access and webhooks, and SOC 2 Type II compliance.

You only pay when Slicker statistically outperforms your current solution. A 15-20 minute consultation reviews your payment data and recovery potential, followed by a clear custom quote with no surprises.

## Resources (Selected)

- **What Is Involuntary Churn and Why It Matters** (https://www.slickerhq.com/resources/blog/what-is-involuntary-churn-and-why-it-matters): Foundational explainer covering how failed payments cause subscriber loss, the scope of the problem across industries, and why involuntary churn is distinct from voluntary churn.
- **The Hidden Cost of Failed Payments: Beyond the Lost Revenue** (https://www.slickerhq.com/resources/blog/the-hidden-cost-of-failed-payments-beyond-the-lost-revenue): Analysis of the compounding costs of failed payments including lost lifetime value, referral loss, and brand damage beyond the immediate transaction.
- **One Size Fails All: The Case Against Batch Payment Retries** (https://www.slickerhq.com/resources/blog/one-size-fails-all-the-case-against-batch-payment-retries): Deep dive into why generic retry schedules underperform and how per-transaction ML optimization delivers better recovery outcomes.
- **Slicker Now Available on the Stripe App Marketplace** (https://www.slickerhq.com/resources/blog/slicker-is-now-live-on-the-stripe-app-marketplace): Announcement of Slicker's official Stripe App Marketplace integration, enabling 5-minute no-code setup for Stripe Billing users.

## Security

Slicker maintains enterprise-grade security practices across all operations. Data protection is built on client-specific isolated data stores with no cross-client access, minimal data retention policies with regular lifecycle audits, AES-256 encryption at rest, TLS 1.3 for all data in transit, and end-to-end encryption with regular key rotation. Access controls include role-based access control (RBAC) with admin and viewer permission levels, comprehensive audit logging, and session management controls. Slicker is actively working toward SOC 2 Type II certification, with security policies aligned to industry-standard frameworks. The incident response program includes 24/7 continuous threat monitoring, rapid containment protocols, transparent client notification, and structured resolution and prevention. Slicker never stores card numbers or sensitive payment data.

## Contact

https://www.slickerhq.com/contact