Here’s what that could mean for your portfolio heading into 2026.
The 2025 holiday season set a record $257.8 billion in online spend,1 despite consumers entering it with the most pessimistic economic outlook since 1997.2 Credit card balances hit $1.28 trillion.3 Buy Now Pay Later (BNPL) crossed $20 billion.1 Holiday shopping also starts earlier each year, and buyer behavior keeps shifting: shoppers now prioritize steep discounts, BNPL and generative AI tools before they commit to a purchase.1 Additionally, Experian data shows income divergence is reshaping who your actual risk is, and early delinquency signals are building faster than aggregate metrics suggest.4 Use this playbook for positioning before October — and stay ahead of the season for “swiping.”
Ahead of the 2025 holiday shopping season, 57% of consumers expected the economy to weaken, the most negative sentiment Deloitte has recorded since 1997.2 However, while planned spend was down 10%,6 actual online spend hit a record,1 credit card balances grew $44 billion in Q4 alone3 and 25 days crossed $4 billion in single-day online sales.1 Consumers spent through uncertainty, and the financial institutions positioned by September captured it.
The compressing window
The holiday season spreads from October through Christmas. Cyber Week sees increased spend, but it captures only a fraction of total season volume, and early delinquency signals are already building in the origination book before peak season even arrives.

The 2025 season proved consumers will spend through uncertainty. But Experian Q1 2026 data revealed a structural shift beneath the headline numbers: The K-shaped recovery has evolved into an E-shaped divergence, and it’s changing the risk profile of segments that historically looked safe.4
What began as a K-shaped recovery is evolving into a more structural E-shaped divergence, separation widening at both ends while the middle compresses. The population earning over $250K has more than doubled since 2023, but 27% of those high-income consumers have since moved into lower income brackets, linked to job loss and retirement. At the lower end, 85% of those earning under $50K stay in the same income band year over year, limiting their ability to build financial resilience. The critical implication for financial institutions: High income no longer equals low risk, and scores alone aren’t capturing the divergence.4
Within near-prime and lower tiers, BNPL consumers actually outperform their non-BNPL peers — making BNPL inquiry a signal of credit intent, not just elevated risk.
Two levers matter most: extending the right credit before October and activating the portfolio you already have. The income divergence data changes the segmentation logic — the consumers who look safe by score may not be, and the consumers who look risky may outperform. Both require more data signals, rather than tightening criteria or additional rules.
Target consumers with multiple existing lines of credit and position competitive limits against them, using income-verification and cash-flow signals alongside bureau data. Experian analysis shows total consumer exposure often runs materially higher than traditional credit files suggest, particularly where BNPL and alternative lending sit off-bureau.
Identify consumers showing positive credit migration and extend limit increases ahead of peak spend. The $44 billion Q4 balance increase confirms demand. Will your book capture its share?
Experian Q1 2026 data reveals that 79% of accounts reaching 60+ DPD charge off within 6 months. Early delinquency at origination is at a 12-month high.6 The practical implication: By the time aggregate portfolio metrics show stress, the window to intervene without significant loss may have already closed. Intervention has to start before the season, not after the spend has already happened.
Tightening fraud controls during peak season can suppress approval rates of good customers who lack sufficient signals behind them. Better data can help tighten fraud defenses.
Early warning and proactive risk identification should be prioritized alongside credit limit increase activation, not post-season.
| Initiative | Wallet-share / risk impact |
|---|---|
| Proactive CLI on positive-migration accounts — segmented by income tier, not just score | High | This directly drives incremental spend capacity; income-aware segmentation reduces charge-off exposure on expanded limits. |
| Early-warning monitoring | High | 79% of 60+ DPD accounts charge off within 6 months. |
| BNPL inquiry monitoring as acquisition signal | Medium–High | High-intent consumers are identified before traditional credit activity surfaces them. |
| Alternative-data underwriting for thin-file/Gen Z applicants | High | This opens a growing segment entering credit eligibility now. |
| Identity verification at balance transfer | Medium | This reduces fraud loss and offers a modest direct growth upside. |
| AI-fraud/deepfake model rebuild | High long-term | 53% of businesses flag AI-generated phishing as their top AI-enabled fraud risk. |
The teams that move on this in the next 60 days will be positioned to win wallet share during the highest-spend window of the year. We’d welcome a working session to pressure-test this framework against your specific portfolio data.
Contact us to schedule a strategy conversation