# Chargeback Prevention Engine

*/Opportunities/Chargeback_Prevention_Engine*

## Opportunity Overview

**Wedge**: First target digital goods merchants selling software or gaming items where friendly fraud is rampant and evidence is entirely digital, such as login logs and download receipts. After achieving high win rates in this segment, expand into physical goods by integrating with shipping and fulfillment APIs to pull delivery confirmation data.
**Timing**: Card networks and payment gateways recently expanded API access for pre-dispute alerts and automated evidence submission, enabling software to execute end-to-end programmatic resolution without manual review.
**Why This I C P**: Mid-market e-commerce merchants process enough transaction volume to experience painful chargeback losses but lack the dedicated in-house fraud teams and custom engineering resources of enterprise retailers.
**Size Of Prize**: ~250,000 mid-market e-commerce merchants globally × ~$12,000 annual spend on chargeback mitigation tools and dispute labor = ~$3B addressable market.
**Gap Narrative**: Mid-market e-commerce merchants lose revenue to friendly fraud because legacy rules engines lag behind changing fraud patterns and dispute processes remain highly manual. These merchants need a system that intercepts chargeback claims pre-dispute and programmatically compiles and submits evidence without human intervention.
**Defensibility**: Defensibility compounds through aggregated fraud pattern data across the merchant base, allowing the system to adjust dispute templates based on which evidence combinations win most frequently with specific issuing banks. Deep integrations into the merchant payment gateways and fulfillment stacks create immediate workflow lock-in and high switching costs.
**Why This Thesis**: A Service-as-Software approach fits the problem shape perfectly because merchants do not want another dashboard to monitor; they require the entire dispute compilation and submission process executed autonomously to recover revenue.

## Opportunity Linked Thesis

**Thesis**: [Software](/Theses/Software)

## Opportunity Linked I C P

**Icp**: [E-Commerce Retailer](/CompanyTypes/E-Commerce_Retailer)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$1.5B-$2.5B US-based mid-market e-commerce merchants processing high-risk or high-AOV transactions
**S O M**: ~$50M-$120M realistic 3-year capture targeting high-volume Shopify Plus and BigCommerce storefronts
**T A M**: ~350k-500k established global e-commerce retailers × ~$12k-$20k/yr average spend on dispute management ≈ ~$4.2B-$10B
**Growth Rate**: ~15-22%/yr, driven by the proliferation of friendly fraud, rising alternative payment methods, and strict card network dispute thresholds
**Paid Comparable Spend**: ~$1,000-$3,000/month on manual review analysts, legacy rule-based fraud filters, and network alert service fees

## Opportunity Incumbents

- [Stripe Radar](/Products/Stripe_Radar) — Tool
- [Equifax Kount Platform](/Products/Equifax_Kount_Platform) — Tool
- [Mastercard Ethoca Alerts](/Products/Mastercard_Ethoca_Alerts) — Tool
- [Visa Verifi System](/Products/Visa_Verifi_System) — Tool
- [Chargebacks911 Dispute Manager](/Products/Chargebacks911_Dispute_Manager) — Service
- [Midigator Chargeback Software](/Products/Midigator_Chargeback_Software) — Tool
- [Internal Rules Engine](/Products/Internal_Rules_Engine) — DIY

## Opportunity Win Conditions

**Kill Thresholds**:
- automated alert resolution rate < 40% after 30 days of live traffic
- CAC > $4,000 for a $1,500/mo contract in the first 90 days
- gateway onboarding time > 14 days
- Month-2 churn > 20% due to failure to lower chargeback ratio below 0.9%
**Leading Metrics**:
- time-to-first-automated-interception
- percentage-of-alerts-resolved-without-human-intervention
- false-positive-rate-on-legitimate-high-AOV-orders
- merchant-onboarding-completion-time
- chargeback-to-transaction-ratio-movement
**What Proves Right**: Mid-market Shopify Plus merchants connect their payment gateways and route at least 80% of their pre-dispute alerts through the engine within the first 14 days. These merchants achieve a 40% reduction in manual review hours and demonstrate willingness to pay a $1,500 monthly subscription fee after the initial pilot. Cohorts retain at >85% after 90 days because they successfully avoid strict card network penalty thresholds.
**What Proves Wrong**: Merchants connect the engine but continue manually reviewing over 50% of flagged transactions because they do not trust the automated evidence compilation. Integration cycles with primary payment gateways exceed 30 days, causing pilot customers to abandon the setup before realizing value. Alternatively, the system fails to intercept friendly fraud early enough, resulting in dispute rates remaining above the critical 0.9% network threshold despite the software.

## Opportunity Build Profile

**Hardest Part**: Integrating and normalizing data across fragmented payment gateways, merchant systems, and issuer alert networks in real-time to intercept disputes before they become formal chargebacks.
**Min Viable Scope**: Focus exclusively on friendly fraud for high-AOV digital goods merchants using Stripe, automatically triggering refunds on issuer alerts before disputes formalize. Deliberately exclude physical shipping verification, multi-gateway support, and automated representment evidence compilation.
**Cold Start Problem**: Models require thousands of historical chargeback instances to weigh risk factors without degrading legitimate checkout conversion. Break this by onboarding a single high-volume design partner and processing their last twelve months of historical payment data to train the initial risk classifier.
**Time To First Value**: 1-2 weeks to ingest historical transaction data and configure initial risk thresholds, followed by immediate protection upon activating live API interception.
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [Logistics and Warehousing](/Industries/Logistics_and_Warehousing) — latent gap · Industries

### Incumbent in

- [In-House Rules Engine](/Products/In-House_Rules_Engine) — incumbent in · Products
- [Mastercard Ethoca Alerts](/Products/Mastercard_Ethoca_Alerts) — incumbent in · Products
- [Equifax Kount Platform](/Products/Equifax_Kount_Platform) — incumbent in · Products
- [Visa Verifi System](/Products/Visa_Verifi_System) — incumbent in · Products
- [Chargebacks911 Dispute Manager](/Products/Chargebacks911_Dispute_Manager) — incumbent in · Products
- [Midigator Chargeback Software](/Products/Midigator_Chargeback_Software) — incumbent in · Products
- [Stripe Radar](/Products/Stripe_Radar) — incumbent in · Products

### Applies thesis

- [E-Commerce Retailer](/CompanyTypes/E-Commerce_Retailer) — applies thesis · CompanyTypes

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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### Similar Competitors

- [Chargehound](/Competitors/Chargehound) — similar · Competitors

### Similar Metrics

- [Value of Unresolved Chargebacks](/Metrics/Value_of_Unresolved_Chargebacks) — similar · Metrics
