When customers see the 3DS challenge and bail. High abandon = friction; consider smart routing.
At a glance
Percentage of customers who saw a 3DS 2.0 challenge screen and abandoned without completing it. The single highest-leverage UX-side conversion metric for any enterprise merchant operating in 3DS-mandated geographies (EU PSD2 / SCA, UK FCA, India RBI, parts of LATAM). High abandon means real revenue is being left on the table by the issuer’s challenge UX, not by the merchant. Cross-channel: this card combines CS 3DS authentication outcomes with commerce-platform checkout-funnel dropoff at the 3DS step.
| The formula | COUNT(threeDSecureStatus='ABANDONED') ÷ COUNT(threeDSecureStatus IN ('SUCCESSFUL','ABANDONED','FAILED')) × 100. Reads from /tss/v2/searches. Excludes FRICTIONLESS (the customer never saw a challenge) and NOT_REQUIRED (transaction wasn’t 3DS-eligible). |
| 3DS 2.0 frictionless vs challenge | 3DS 2.0 has two paths: frictionless (issuer authenticates server-to-server, customer sees nothing, transaction proceeds) or challenge (customer must complete a step-up. OTP, biometric, password, to authenticate). Issuers decide per-transaction. Frictionless rate of 70-85% is healthy; lower means issuers are challenging too aggressively. See 3DS Frictionless Volume. |
| What “abandon” means specifically | The customer reached the issuer-hosted challenge screen but didn’t submit (timeout, closed window, refused). The merchant’s storefront is technically waiting for the issuer’s callback that never comes. Distinct from FAILED (customer entered wrong OTP, refused biometric) where the issuer told the merchant “no”. |
| PSD2 / SCA mandate impact | EU PSD2 SCA mandates 3DS for most ecommerce transactions; UK FCA inherited similar rules post-Brexit. Merchants in these geographies cannot opt out of the challenge for non-frictionless flows; reducing abandon is the only conversion lever. India RBI mandate is similar but with even higher abandon rates due to network reliability. |
| Common abandon causes | (1) Mobile UX: issuer challenge pages designed for desktop, render poorly on mobile (40, 60% of abandons); (2) Timeout: 5-10 min issuer timeout while customer fetches OTP from SMS (15, 25%); (3) Wrong OTP attempt limit: customer enters wrong code, locked out, abandons (10, 15%); (4) Customer doesn’t recognise challenge: especially on first-time card, first-time issuer (10, 15%). |
| Currency | n/a (rate, currency-neutral). |
| Refunds / disputes | Excluded. Abandons never authorise so there’s nothing to refund / dispute. |
| Failed / declined payments | The denominator includes attempted-3DS authentications. Customers who completed challenge successfully or failed it are in the denominator; customers who abandoned mid-challenge are in the numerator. Customers whose card-issuer doesn’t support 3DS at all (NOT_REQUIRED) are excluded entirely. |
| Time window | 30D. |
| Alert trigger | > 25%. Above 25% indicates significant friction; PSD2-mandated geographies tend to run 18, 24% naturally, so 25%+ usually means an issuer-side challenge-UX problem affecting a specific BIN or country. |
| Sentiment key | threedsecure_abandon_rate |
| Roles | owner, operations, marketing |
Calculation
Calculated automatically from your CyberSource data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A UK-based enterprise online fashion retailer running CyberSource for ecommerce. The 30-day window covers 14 Mar 26 to 12 Apr 26. Roughly 1.85M total transaction attempts across UK + EU + global; PSD2 / SCA applies to most EU transactions, UK FCA to UK transactions. The 3DS outcome mix from/tss/v2/searches:
| Outcome | Count | Share of total | Notes |
|---|---|---|---|
FRICTIONLESS | 786,500 | 42.5% | Issuer authenticated server-to-server; customer saw nothing |
NOT_REQUIRED | 612,400 | 33.1% | Card-issuer doesn’t support 3DS or transaction below SCA threshold |
SUCCESSFUL (challenge passed) | 268,300 | 14.5% | Customer completed the challenge |
ABANDONED | 122,400 | 6.6% | Customer saw challenge, bailed |
FAILED | 60,400 | 3.3% | Customer entered wrong OTP / refused biometric |
- 27.13% abandon rate is above the 25% alert threshold. Industry benchmarks for PSD2-mandated geographies put healthy abandon at 18-24%; UK retailers typically average 22%. At 27% the merchant is leaving meaningful conversion on the table, every 1pp reduction in abandon adds ~4,500 successful 3DS authentications per month, at typical fashion-retail AOV £68 that’s ~£306k of recoverable monthly revenue per percentage point.
- Mobile is overwhelmingly the abandon driver. Drilling by device, mobile abandon runs ~38%, desktop runs ~14%, mobile-app (in-app browser) runs ~22%. The merchant’s app is doing OK; the mobile-web flow is the problem. Common cause: the issuer’s challenge page renders poorly on mobile, customer loses patience, abandons. Smart routing for mobile-web (route to issuers with better mobile-challenge UX or push toward saved-token / Apple Pay / Google Pay flows where 3DS happens at provisioning time) usually drops mobile abandon to 22-28%.
- Frictionless rate at 42.5% of total attempts (or 63.6% of challenges + frictionless) is healthy but improvable. Industry leaders run 75-85% frictionless on PSD2 transactions because they: (a) submit rich device-fingerprint data with the auth request (more signal = more frictionless decisions); (b) use 3DS Server SDK that provides exemption hints for low-risk transactions (TRA, low-value); (c) maintain good merchant fraud-history with the issuer ecosystem.
- NOT_REQUIRED at 33.1% is too high for a UK merchant. Most UK + EU customers should be SCA-eligible. The merchant likely has cross-border international customers (US, AU, MX) where 3DS isn’t mandatory, these are NOT_REQUIRED but still authenticatable if the merchant chooses. For high-AOV transactions (>£250) even non-mandated geographies benefit from 3DS because the issuer-liability shift on 3DS-protected fraud disputes saves money on the chargeback side.
- Cross-channel impact is meaningful. Joining this card to the storefront’s checkout-funnel data: 122,400 abandoned 3DS challenges correlate with ~118,000 cart-abandonments at the payment-step. That’s a £8.0M revenue at risk per period (122,400 × £68 - 5,000 customers who would have abandoned for other reasons anyway = ~£8M). See 3DS Friction Revenue Loss for the formal cross-channel measurement.
Sibling cards merchants should reference together
| Card | Why pair it with 3DS Challenge Abandon Rate |
|---|---|
| 3DS Frictionless Volume | The other half of 3DS 2.0: when the issuer authenticates without showing a challenge. High frictionless = low abandon exposure. |
| 3DS Success Rate | Overall 3DS success vs failure (excluding abandons). |
| 3DS-Authenticated Transactions | The volume side: how many transactions go through 3DS at all? |
| Decline Rate | Abandons inflate decline rate directly. |
| Authorisation Success Rate | Inversely correlated with abandon. |
| 3DS Failure Alert | Real-time alert when 3DS success drops sharply. |
| 3DS Friction Revenue Loss | Cross-channel: dollar value of revenue lost to 3DS abandon. |
| Adobe Commerce / Shopify checkout-funnel | The storefront pulse; checkout-step abandon at payment step correlates with this card. |
Reconciling against the vendor’s own dashboard
Where to look in CyberSource Business Center (EBC2):- Transactions → Search, filter by
3DS Status = ABANDONEDfor the numerator; full 3DS-authenticated set for denominator. - Decisions → Payer Authentication → Performance Reports, CyberSource’s dedicated 3DS Server performance dashboard. Surfaces success / failure / abandon / frictionless splits with issuer breakdown.
- Reports → Payer Authentication Report, the daily transaction-level 3DS dump.
| Reason | Direction | What to do |
|---|---|---|
| Reporting API extraction lag. Reporting v3 overnight batch on the 3DS report. EBC2 transaction search is real-time. | Vortex IQ may lag EBC2 2-6 hours on most-recent day. | Use the 30D window which averages out the lag. |
| Time zone. EBC2 uses merchant-account tz; we use UTC. | Boundary-day drift. | Negligible on 30D. |
NOT_REQUIRED filtering. We exclude entirely; some EBC2 views surface NOT_REQUIRED in the abandon denominator. | Tiny drift if EBC2 view includes them. | Our exclusion is correct (NOT_REQUIRED never showed a challenge to abandon). |
FAILED vs ABANDONED distinction. EBC2’s API surfaces FAILED and ABANDONED as separate enum values; some EBC2 UI views collapse them into “did not authenticate”. | Tiny drift. | We keep them distinct because they have different remediations. |
| Comparison | Expected relationship | When divergence is legitimate |
|---|---|---|
cs_3ds_abandon_rate ↔ commerce platform’s checkout-step-3 abandon | Strong positive correlation. Customers abandoning 3DS often show as cart-abandons at the payment step. | A divergence (CS abandon high but storefront cart-abandon low) usually means the issuer’s callback timeout is masking the abandon as a “delayed success”. |
cs_3ds_abandon_rate ↔ cs_3ds_friction_loss | This card’s count drives the dollar value in friction_loss. | n/a (causal relationship). |
cs_3ds_abandon_rate ↔ Stripe equivalent | Stripe doesn’t expose a directly comparable card; its 3DS data lives inside the payment_intents object. Multi-acquirer enterprises should track this CS card as the canonical 3DS-friction view. | n/a (no direct peer). |