At a glance
Daily Klarna captured volume across the period. Time-series view of kla_total_volume. Reveals payday-cycle spikes (Pay-in-30-days customers buy at the end of one month, due in the next), seasonal fashion patterns (Helle Mode’s biggest Klarna days are around the 25th when German payday lands), and Klarna in-app catalogue feature-promotion days.
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” Klarna daily volume, last 7 days ending 02 May 26.
What the merchant should notice:
- Thursday-Friday end-of-month spike of 60-80% over baseline. German monthly-paid workers receive salary on the last business day; Pay-in-30-days purchases cluster post-payday. This is the signature Klarna pattern.
- Saturday and Sunday lower for Klarna than for cards. Klarna is more “considered purchase” than impulse-card; weekend mobile-impulse buyers index higher on cards.
- Klarna Day campaigns (typically biannual) can spike a single day 3-5x baseline. Helle Mode should track whether they participated.
- A 15% drop in 7-day rolling window triggers alert. Common cause: Klarna placement in checkout was de-emphasised (a UX experiment moved Klarna below the fold), or competitive BNPL added (Afterpay or Klarna’s biggest competitor in-market).
Sibling cards merchants should reference together
Reconciling against the vendor’s own dashboard
Where to look: portal.klarna.com → Reports → Sales with daily granularity. Why our number may differ:
Cross-connector reconciliation: