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Card class: Non-Hero • Category: Payment Gateway

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At a glance

Top reasons Klarna’s underwriting declined customers, ranked. Klarna’s decline reason codes are anonymised vs card-network codes (consumer credit privacy); broad categories only.
What it countsGROUP BY decline_reason for status = REJECTED. Klarna categories: INSUFFICIENT_DATA (thin file), EXISTING_DEBT (customer over-extended), ADDRESS_VERIFICATION (address mismatch), FRAUD_FLAG, MAX_AMOUNT_EXCEEDED.
Time window7D.
Rolesowner, operations

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Calculation

Calculated automatically from your Klarna data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

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Worked example

“Helle Mode” 7-day Klarna decline breakdown.
ReasonCountShareAction
INSUFFICIENT_DATA (thin file)5835.6%Customer too new to Klarna or no credit history. No fix; suggest card fallback.
EXISTING_DEBT (over-extended)4125.2%Customer has open Klarna balances elsewhere. No fix.
ADDRESS_VERIFICATION2817.2%Address mismatch. Improve checkout autofill / address validation.
FRAUD_FLAG1811.0%Klarna risk model flagged. No appeal; legitimate fraud-prevention.
MAX_AMOUNT_EXCEEDED138.0%Customer exceeded Klarna purchase limit.
OTHER53.0%Misc edge cases.
What the merchant should notice:
  1. Address verification at 17% is the only actionable category. Improve checkout address validation (Google Address Autofill, Loqate); recover roughly 60-70% of these.
  2. Insufficient data + Existing debt = 60% of declines. Both customer-side; no merchant fix.
  3. Fraud flag at 11% is low (good). Above 20% suggests merchant attracts higher-fraud-risk traffic.

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Sibling cards merchants should reference together

CardWhy pair it
kla_decline_rateAggregate; this is the breakdown.
kla_success_rateComplement.
kla_top_payment_methodsSlice it has different decline-reason mix.

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Reconciling against the vendor’s own dashboard

Where to look: Klarna does not publicly expose per-decline-reason breakdowns due to consumer-credit privacy. The Merchant Portal aggregates into broad categories. Why our number may differ:
ReasonDirectionWhy
Reason mappingEitherKlarna anonymises reasons; we map to broad categories.
Time zoneBoundary days offCEST vs UTC.

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Known limitations / merchant FAQs

Why are reasons so vague? Consumer-credit-privacy regulation. Klarna cannot disclose specific risk signals to the merchant. Address verification, can I improve it? Yes. Implement Google Address Autofill, Loqate, or similar; clean addresses recover 60-70% of these. Existing debt, anything I can do? No. The customer has open Klarna balances elsewhere. They need to settle before increasing exposure. Fraud flag at 5% suddenly jumped to 25%, what gives? Targeted fraud attempt at the merchant. Klarna’s risk model caught it. The merchant should review web traffic for campaign anomalies. Slice it has a unique decline reason? Yes: SLICE_IT_CREDIT_CHECK_FAILED. Customer chose Slice it but didn’t pass the harder credit check. They can retry with Pay in 4 or Pay in 30.

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Tracked live in Vortex IQ Nerve Centre

Top Decline Reasons is one of hundreds of KPI pulses Vortex IQ tracks across Klarna and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. Start for free or book a demo to see this metric running on your own data.