> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Top Decline Reasons, Klarna

> Top Decline Reasons for Klarna stores. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it.

**Metrics type:** [Supporting Metrics](/nerve-centre/overview#metrics-types-explained)  •  **Category:** [Payment Gateway](/nerve-centre/connectors#connectors-by-type)

## 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 counts** | `GROUP 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 window**    | `7D`.                                                                                                                                                                                                                            |
| **Roles**          | owner, operations                                                                                                                                                                                                                |

## 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.

## Worked example

"Helle Mode" 7-day Klarna decline breakdown.

| Reason                         | Count | Share | Action                                                                          |
| ------------------------------ | ----- | ----- | ------------------------------------------------------------------------------- |
| INSUFFICIENT\_DATA (thin file) | 58    | 35.6% | Customer too new to Klarna or no credit history. No fix; suggest card fallback. |
| EXISTING\_DEBT (over-extended) | 41    | 25.2% | Customer has open Klarna balances elsewhere. No fix.                            |
| ADDRESS\_VERIFICATION          | 28    | 17.2% | Address mismatch. Improve checkout autofill / address validation.               |
| FRAUD\_FLAG                    | 18    | 11.0% | Klarna risk model flagged. No appeal; legitimate fraud-prevention.              |
| MAX\_AMOUNT\_EXCEEDED          | 13    | 8.0%  | Customer exceeded Klarna purchase limit.                                        |
| OTHER                          | 5     | 3.0%  | 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.

## Sibling cards merchants should reference together

| Card                                                                                | Why pair it                                |
| ----------------------------------------------------------------------------------- | ------------------------------------------ |
| [`kla_decline_rate`](/nerve-centre/kpi-cards/klarna-api/decline-rate)               | Aggregate; this is the breakdown.          |
| [`kla_success_rate`](/nerve-centre/kpi-cards/klarna-api/success-rate)               | Complement.                                |
| [`kla_top_payment_methods`](/nerve-centre/kpi-cards/klarna-api/top-payment-methods) | Slice it has different decline-reason mix. |

## 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:**

| Reason             | Direction         | Why                                                    |
| ------------------ | ----------------- | ------------------------------------------------------ |
| **Reason mapping** | Either            | Klarna anonymises reasons; we map to broad categories. |
| **Time zone**      | Boundary days off | CEST vs UTC.                                           |

## 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.

***

### 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](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.