🇺🇸United States

Cost of Poor Verification Quality: Refunds, Chargebacks, and Compensation from Bad Sellers

4 verified sources

Definition

Inadequate seller vetting allows low‑quality or malicious sellers to operate, resulting in counterfeit goods, non‑delivery, and scams. Marketplaces then absorb costs through refunds, chargebacks, buyer compensation programs, and additional support interactions, as well as reputational damage that depresses future transactions.

Key Findings

  • Financial Impact: $1M–$50M+ annually for large platforms when factoring refunds, chargebacks, buyer protection payouts, and support costs related to fraudulent or non‑compliant sellers
  • Frequency: Daily
  • Root Cause: Verification focuses on minimal identity checks rather than holistic seller risk (e.g., business legitimacy, history of complaints, bank and address consistency). There is limited ongoing monitoring after initial onboarding, so sellers can degrade quality or pivot into abusive behavior without timely intervention.

Why This Matters

This pain point represents a significant opportunity for B2B solutions targeting Internet Marketplace Platforms.

Affected Stakeholders

Customer Support, Dispute/Chargeback Team, Trust & Safety, Brand Protection / Quality Assurance, Finance (for refund and chargeback provisioning)

Deep Analysis (Premium)

Financial Impact

$1.5M-$5M annually (higher ticket value, extended chargeback windows, 45%+ chargeback rate for unverified international sellers) • $1.5M-$5M annually in refunds, platform-absorbed service guarantees, and buyer compensation for poor service delivery • $1.5M–$6M annually (refunds, chargebacks, buyer protection reimbursements, and support tickets from customers receiving counterfeit/non-delivery items)

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Current Workarounds

CSM escalates to legal/compliance team via email thread; manual KYC document re-request via WhatsApp to seller; spreadsheet tracking of seller responses by country code; currency conversion notes in Docs • CSM manually reviews seller history in database query, Excel pivot tables comparing refund-to-sales ratio, Slack notifications when refund threshold hit, post-hoc email campaigns offering buyer credits • CSM/SSM manually investigates seller business documents, phone verification with seller, email threads documenting communications, Excel tracking of B2B fraud patterns by seller category, manual escalation to legal

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

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