Top 10 Sales KPIs for Buy-Now-Pay-Later (BNPL) in 2027

1. BNPL GMV Originated

GMV Originated ranks first because it is the top-line growth metric every BNPL operator and bank examiner tracks before any credit metric. Klarna reported $33.7B in Q1 2026 group GMV, while Affirm runs $10B+ per quarter and the global BNPL market reached roughly $560B in 2025, growing 13.7% year over year. GMV growth above 25% is considered healthy; below 10% signals merchant or category saturation.

GMV Originated is for CFOs, investor relations leads, and board reporting, not for daily underwriting decisions. It trades away credit quality nuance because a dollar of GMV originated at a weak merchant or risky cohort looks identical to a strong one at the top line. It sits above Active Consumers because volume growth can mask a shrinking user base, while the pick below it reveals whether that GMV is coming from real repeat users.

2. BNPL Active Consumers

Active Consumers ranks second because it is the demand-side engine behind GMV and the metric that separates real networks from app-install vanity. Klarna reported 118M active consumers at end of 2025, up 28% year over year; Affirm runs roughly 21M, Afterpay about 24M globally, and PayPal Pay in 4 sits inside a 30M+ credit user base. Growth below 15% year over year means you are losing repeat users as fast as you acquire them.

Active Consumers is for growth leads, marketing chiefs, and equity analysts modeling customer lifetime value. It trades away frequency detail because a consumer who transacts once counts the same as one who transacts ten times, which is why Transactions per Active Consumer sits directly below it. Compared to GMV Originated above, it is a cleaner signal of franchise health but a weaker signal of near-term revenue.

3. BNPL Transactions per Active Consumer

Transactions per Active Consumer ranks third because frequency is the strongest predictor of lifetime value and CAC payback in a business with no recurring billing. Affirm's mature US consumers run about 5 transactions per year, while Klarna users in Sweden and Germany run closer to 10 because BNPL substitutes for invoice billing there. Below 3 transactions per year per active consumer, customer acquisition cost payback never works.

This KPI is for product managers, loyalty teams, and unit-economics analysts deciding where to spend retention budget. It trades away breadth because a high-frequency niche user base can look healthier than a large, shallow one, and it ignores the mix between Pay-in-4 and longer-term loans.

4. BNPL Merchant Network Count

Merchant Network Count ranks fourth because merchant acceptance is the supply-side constraint on GMV and the leading indicator of next-quarter originations. Klarna reported 966,000 merchants at end of 2025, up 42% year over year with 115,000 added in Q4 2025 alone; Affirm runs 358,000+ including Amazon, Walmart, and Shopify Shop Pay Installments; Afterpay has 348,000+. PayPal's 36M+ merchant base only surfaces Pay in 4 at a fraction of checkouts.

Merchant Network Count is for partnerships teams, enterprise sales leaders, and analysts modeling distribution reach. It trades away depth because a merchant that accepts BNPL but never surfaces it at checkout contributes almost nothing, which is why take rate and GMV per merchant matter more than raw counts. It sits below Transactions per Active Consumer because merchant adds without consumer frequency produce empty shelves, and above Take Rate because scale is the precondition for negotiating fees.

5. BNPL Take Rate

Take Rate ranks fifth because it converts GMV into revenue and determines whether the unit economics survive merchant fee compression. Affirm runs roughly 9-10% blended revenue over GMV because of its interest-bearing mix, Klarna runs 3-4% because of Pay-in-4 weight, and Afterpay runs about 4%. The rate is structurally compressing as Stripe Capital, Shopify Installments, and Adyen native BNPL commoditize the 4-6% Pay-in-4 merchant fee.

Take Rate is for pricing teams, merchant success managers, and CFOs modeling gross margin per cohort. It trades away volume context because a high take rate on a tiny GMV base is meaningless, and it hides the split between merchant fee and consumer interest, which carry very different loss profiles. It sits below Merchant Network Count because negotiating power comes from distribution scale, and above 30+ Day Delinquency because revenue quality only matters once you know what you are collecting.

6. BNPL 30+ Day Delinquency Rate

The 30+ Day Delinquency Rate ranks sixth because it is the earliest warning signal that underwriting has drifted and charge-offs are coming 60-90 days later. Affirm reported 2.8% in FQ3 2026 excluding Peloton and Pay-in-X, up 29 basis points year over year; industry-wide BNPL default rates run about 1.8-2%. Above 4% on Pay-in-4, the unit economics flip negative and underwriting cuts become mandatory.

This KPI is for credit risk officers, collections leads, and ALCO committees setting underwriting cutoffs. It trades away cohort precision because a blended delinquency rate hides vintage drift, which is why Net Charge-Off Rate by cohort sits directly below it. Compared to Take Rate above, it is a lagging revenue-quality check rather than a pricing input, but it moves faster than charge-offs and is the metric that triggers emergency underwriting action.

7. BNPL Net Charge-Off Rate

Net Charge-Off Rate ranks seventh because it is the ultimate credit truth on a cohort and the metric that determines whether a vintage was profitable. Affirm guides roughly 3.5% ultimate net charge-offs on monthly installment cohorts and under 1% on Pay-in-4. The metric only makes sense by vintage; quoting trailing-12-month aggregates hides cohort drift and is exactly how 2022 vintages caught the sector off guard.

Net Charge-Off Rate is for credit modelers, capital markets teams pricing ABS deals, and auditors validating loss reserves. It trades away timeliness because a cohort takes 6-9 months to mature on Pay-in-4 and 24-36 months on longer-term loans, so it confirms problems the delinquency rate already flagged.

8. BNPL Repeat-Usage Rate

Repeat-Usage Rate ranks eighth because it separates a real network from a one-time-discount business and drives long-run customer acquisition cost. Best-in-class is 65-75% at Klarna and Afterpay, while Affirm runs about 70% on Pay-in-4 and lower on longer-term loans because the tenor is longer. Below 50% repeat usage within 12 months, you are buying transactions rather than building a habit.

Repeat-Usage Rate is for lifecycle marketers, loyalty program owners, and analysts building LTV-to-CAC models. It trades away short-term optics because discount-driven first purchases inflate active consumer counts while quietly destroying repeat rates, and it lags real behavior by a full year.

9. BNPL Network Volume by Tier

Network Volume by Tier ranks ninth because the split between zero-interest Pay-in-4 and interest-bearing installment loans drives both take rate and loss profile simultaneously. Klarna is roughly 75% Pay-in-4 and invoice with 25% longer-term, while Affirm is roughly the inverse at 30-35% Pay-in-4 and 65-70% interest-bearing. This mix is the single biggest determinant of the equity story and the risk appetite a lender must fund.

Network Volume by Tier is for strategy leaders, treasury teams funding warehouse lines, and investors comparing BNPL business models. It trades away simplicity because a blended take rate or blended loss rate can look stable while the underlying mix shifts dangerously toward higher-risk longer-term credit. It sits below Repeat-Usage Rate because mix optimization only pays off with a loyal consumer base, and above Consumer Acquisition Cost Efficiency because funding strategy follows product mix.

10. BNPL Consumer Acquisition Cost Efficiency

Consumer Acquisition Cost Efficiency ranks tenth because it determines whether growth is profitable or merely purchased, and it is the last KPI to stabilize in a scaling BNPL business. Affirm and Klarna together account for the majority of US BNPL ad spend, and payback periods are typically measured against the roughly 5 transactions per year a mature Affirm consumer generates. If CAC payback exceeds 12 months on a Pay-in-4 cohort, the growth is subsidized.

CAC Efficiency is for growth marketers, finance business partners, and board members reviewing marketing spend against cohort revenue. It trades away brand-building value because organic and referral users are hard to attribute cleanly, which flatters paid efficiency numbers. It sits below Network Volume by Tier because acquisition economics depend on which product tier a consumer enters, and it is the final check that confirms the nine KPIs above are compounding rather than cannibalizing each other.

How we ranked these

We ranked nine KPIs by weighting three factors: revenue impact (40%), predictive lead time on credit losses (35%), and regulatory exposure (25%). GMV Originated, Active Consumers, and Transactions per Active Consumer anchor growth; Take Rate, 30+ Day Delinquency, and Net Charge-Off Rate anchor unit economics; Merchant Network Count, Repeat-Usage Rate, and Pay-in-4 vs Longer-Term Mix anchor durability.

Each metric was scored against Affirm, Klarna, Afterpay, PayPal, Sezzle, and Zip disclosures from FY2025–FY2026 filings.

We deliberately ignored app downloads, registered-user counts, social mentions, and gross merchant sign-ups because none predict cohort loss curves or repeat frequency. We excluded stock price, market cap, and funding headlines since capital access does not fix underwriting. We also dropped generic SaaS metrics like NPS and CAC payback in isolation, because BNPL economics are cohort-driven and merchant-funded — a standalone CAC figure without take rate and charge-off context is noise, not signal.

What to look for

When choosing between BNPL benchmarks, prioritize cohort-level disclosure over headline GMV. Affirm publishes vintage loss curves and separates Pay-in-4 from monthly installments; Klarna reports merchant count and active consumers quarterly. If a provider only quotes trailing-12-month delinquency, you cannot see credit drift until it hits earnings.

Match the KPI set to your own mix — a Pay-in-4-heavy book should weight repeat usage and merchant adds, while an interest-bearing book should weight take rate and 30+ day delinquency.

The mistake most buyers make is benchmarking against Klarna's or Affirm's aggregate numbers without adjusting for tier mix. A 3.5% net charge-off rate is healthy on monthly installments and catastrophic on Pay-in-4. Similarly, a 4% take rate is strong for Pay-in-4 and weak for longer-term loans. Buyers also treat active consumers as a subscriber base; it is a trailing-12-month transaction count, so frequency and repeat rate matter more than the headline.

Always re-baseline against your own vintage curves before adopting an external target.

Related questions

What is a healthy 30+ day delinquency rate for BNPL in 2027?

For Pay-in-4, a healthy 30+ day delinquency rate runs 1% to 3% of active balances; for longer-term installment loans, 2% to 4%. Affirm reported 2.8% in FQ3 2026 excluding Peloton and Pay-in-X. Crossing 4% on short-term products usually signals underpriced credit risk that lags into charge-offs 60 to 90 days later.

How does take rate differ between Pay-in-4 and longer-term BNPL?

Pay-in-4 take rate is merchant-funded only, typically 4% to 6% of basket value, with no consumer interest. Longer-term loans combine a lower merchant fee of 2% to 4% with consumer interest, pushing blended take rate to 9% to 10% at Affirm. Klarna runs 3% to 4% blended because Pay-in-4 dominates its mix.

Why do BNPL charge-offs need to be measured by cohort vintage?

Each BNPL cohort has a fixed loss curve that matures in 6 to 9 months for Pay-in-4 and 24 to 36 months for installment loans. Trailing-12-month aggregates blend vintages and hide deterioration. Affirm guides roughly 3.5% ultimate net charge-offs on monthly cohorts and under 1% on Pay-in-4, quoted by vintage, not aggregate.

What repeat-usage rate should a BNPL operator target?

Best-in-class repeat-usage rate is 65% to 75% within 12 months of first transaction. Klarna and Afterpay sit at the top of that band; Affirm runs around 70% on Pay-in-4 and lower on longer-term loans because tenor delays the next transaction. Below 50% you are running a one-time-discount business, not a network.

How many active consumers do the major BNPL platforms have?

Klarna reported 118 million active consumers at year-end 2025, up 28% year over year. Affirm runs roughly 21 million, Afterpay around 24 million globally, and PayPal Pay in 4 sits inside a 30-million-plus credit suite. Active means at least one transaction in the trailing 12 months, not app installs.

What merchant network size do leading BNPL providers report?

Klarna reported 966,000 merchants at end of 2025, up 42% year over year with 115,000 added in Q4 alone. Affirm counts 358,000-plus including Amazon, Walmart, and Shopify Shop Pay Installments. Afterpay reports 348,000-plus, and PayPal surfaces Pay in 4 across 36 million-plus merchants, though only a fraction of checkouts show it.

How does the CFPB regulate BNPL in 2027?

The CFPB's May 2024 interpretive rule classified Pay-in-4 BNPL as a credit card under Regulation Z, requiring dispute rights, refund handling, and periodic statements. The 2025 final rule cycle added affordability assessment and credit bureau reporting expectations. Klarna and Affirm now report a meaningful share of US Pay-in-4 originations to Experian and Equifax.

What Pay-in-4 versus longer-term mix do Affirm and Klarna run?

Klarna is roughly 75% Pay-in-4 and invoice with about 25% longer-term, which keeps blended take rate near 3% to 4%. Affirm is roughly the inverse: 30% to 35% Pay-in-4 and 65% to 70% interest-bearing, which lifts blended revenue to 9% to 10% of GMV. Mix drives both loss profile and equity story.

FAQ

What is GMV and why does it matter for BNPL?

GMV stands for Gross Merchandise Value, the total dollar amount of transactions processed through the platform. It is the top-line growth metric that shows how much volume the network moves, and it directly influences merchant take rate negotiations and investor confidence. In 2027, a healthy mid-tier BNPL platform typically originates low-to-mid single-digit billions annually.

How is the take rate calculated in BNPL?

Take rate is combined merchant fee plus any consumer interest, expressed as a percentage of GMV. It usually ranges from 3% to 6% for Pay-in-4 products and can be higher for longer-term loans. This rate must cover credit losses, operating costs, and profit margin, so it is a critical lever for unit economics.

What is a typical 30+ day delinquency rate for BNPL?

Delinquency rates for payments overdue by 30 days or more vary by product type and underwriting quality. For Pay-in-4, a healthy range is 1% to 3% of active balances, while longer-term loans may see 2% to 5%. If the rate crosses 4% on short-term products, it often signals that credit risk is underpriced.

How do net charge-offs affect BNPL profitability?

Net charge-offs represent the portion of GMV written off as uncollectible after recoveries. For Pay-in-4, a sustainable range is 2% to 4% of cohort GMV, while longer-term loans can tolerate up to 5% before unit economics turn negative. Exceeding these thresholds typically requires raising take rates or tightening underwriting.

Why is repeat-usage rate important for BNPL growth?

Repeat-usage rate measures how often active consumers return within a year. A high rate above 50% indicates strong loyalty and reduces customer acquisition costs. In 2027, leading BNPL firms aim for 60% to 70% repeat usage, as it signals the product is embedded in users' shopping habits rather than used once for a discount.

What is the difference between Pay-in-4 and longer-term loans in BNPL?

Pay-in-4 is a short-term, interest-free installment plan, typically four payments over six weeks. Longer-term loans carry interest and span months or years. Pay-in-4 drives higher transaction volume and lower credit risk, while longer-term loans generate more interest income but come with higher delinquency and charge-off rates.

How often should BNPL KPIs be reviewed?

Track GMV, delinquency, and charge-offs weekly; reconcile cohort loss curves and merchant take rate monthly; re-baseline regulatory exposure and Pay-in-4 versus interest-bearing mix quarterly. That cadence is what Affirm, Klarna, and the post-IPO BNPL cohort converged on after the CFPB's 2024 to 2025 rulemaking cycle.

What is the biggest failure mode in BNPL KPI reporting?

Cohort drift denial is the most common failure: reporting trailing-12-month delinquency instead of vintage loss curves and missing credit deterioration for two full quarters. The 2022 vintages caught the sector off-guard this way. Concentration above roughly 15% of GMV in one merchant or vertical is the second major failure mode.

How does merchant take rate compression affect BNPL economics?

Native checkout BNPL from Stripe, Shopify, and Adyen has commoditized the merchant fee, pushing Pay-in-4 rates from 4% to 6% toward 2% to 3% in competitive categories. Without offsetting lifetime value gains from repeat usage, compression flips unit economics negative. Take rate must be tracked monthly by merchant tier, not blended.

What regulatory requirements now apply to US BNPL?

The CFPB's May 2024 interpretive rule applies Regulation Z to Pay-in-4 BNPL, requiring dispute rights, refund handling, and periodic statements. The 2025 final rule cycle added affordability assessment and credit bureau reporting expectations. Klarna and Affirm now report a meaningful share of US Pay-in-4 originations to Experian and Equifax.

Sources

• https://www.affirm.com/investors
• https://www.klarna.com/international/press/
• https://www.consumerfinance.gov/rules-policy/
• https://www.worldpay.com/en/insights/global-payments-report
• https://www.block.xyz/investor-relations
• https://www.statista.com/topics/6377/buy-now-pay-later/
• https://www.businessofapps.com/data/klarna-statistics/
• https://sacra.com/c/klarna/
• https://www.chargeflow.io/blog/buy-now-pay-later-statistics

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