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Digital Identity Gap and Authentication Telemetry

Regulated industries face a digital identity gap that stalls digitization. Authentication telemetry explains why users fail at login and how to get them into digital channels.

Vincent Delitz
Vincent Delitz

Created: April 20, 2026

Updated: April 21, 2026

Digital Identity Gap and Authentication Telemetry

1. Introduction#

In 2026, digitization is the CEO priority for every regulated enterprise. Yet digital adoption numbers come from a subset of the customer base. FDIC's 2023 National Survey reports about one third of banked households did not use online banking in 2023. HINTS/JMIR 2025 shows 38.7% of US adults did not access a patient portal in the last 12 months. ABA Bank on It 2025 puts Australian banks at 99.3% online interactions. The offline remainder is structurally loss-making. Every customer who fails to sign up or log in becomes a growing cost-to-serve problem the board can no longer ignore, and a blocker for agentic AI, embedded finance and shrinking branch footprints.

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Key Facts
  • Digitization is a board-level KPI in regulated industries - every customer who cannot sign up or log in digitally blocks it. - Reported adoption counts active digital users, not the full base - leaving a 10-40% digital identity gap invisible to dashboards. - FDIC 2023: ~1 in 3 banked households skipped online banking. HINTS/JMIR 2025: 38.7% of US adults never accessed a patient portal.
  • Over 80% of sign-up and login failures happen client-side and never reach the backend IdP (Corbado observability data). - Forrester: ~USD 70 per password-reset incident; failed-login rates correlate directly with churn and support cost. - McKinsey 2024: a leading Asian bank cut cost-to-income for online customers by 50% versus traditional ones. - Agentic AI, chat channels and embedded finance assume a fully digital customer - non-digital users become a product-reach problem, not just a cost one.

2. What is the Digital Identity Gap?#

The digital identity gap is the share of a regulated-industry customer base that exists on file but never activated or used an online login. In US banking, FDIC 2023 reports about one in three banked households did not use online banking at least once that year. In US healthcare, HINTS/JMIR 2025 puts the never-accessed-portal cohort at 38.7% of adults. The gap is invisible to adoption dashboards because the denominator starts at "users with a recent session". McKinsey's 2024 State of Retail Banking reports branches still account for 72% of new current accounts and 92% of new current-account balances in North America.

3. Customers with no Online Login at All#

In banking, healthcare, insurance, utilities and public sector, a durable segment has never logged in online. Accounts were opened in-branch or through a broker. Patients signed paperwork at a clinic. Policyholders bought through an agent. Utility customers inherited a meter reading. They pay and consume products. They hold no online session any prompt can reach. Bankrate's 2025 digital-banking trends summary shows 45% of non-digital customers cite branch preference and 42% cite security concerns. The ONC Health IT 2024 data brief puts the equivalent healthcare figure at 35% of US adults who did not access a patient portal in 2024, down from 49% in 2022.

4. Why the Gap is invisible on Adoption Dashboards#

Adoption dashboards start the denominator at "users with a session in the last N days". Customers outside that window are not counted as unadopted. They are counted as absent. A headline like "68% of patients accessed a portal in the last year" can be correct and incomplete at once. The ONC Health IT 2024 data brief shows 65% of US adults accessed a portal in 2024, up from 51% in 2022. The remaining 35% absorb a disproportionate share of call-center volume and manual intake cost. They never appear in portal-adoption reporting.

5. Difference between "has not adopted" and "cannot get in at all"#

A customer who logs in with SMS OTP but never upgrades to a passkey is a conversion problem. A customer who tries to sign up and abandons at step three is a funnel problem. A customer with no online profile is an identity problem. Each needs a different fix and has a different cost to resolve. Conflating them inside one adoption metric produces the wrong roadmap. It also breaks the digitization target the CEO is tracking, because the three segments respond to completely different interventions at different unit economics and different support-organization load per customer.

6. Who these Users are: the older Demographic Assumption and its Limits#

The digital identity gap is not a demographic monolith. Four segments explain most of it: older customers with working but seldom-used logins, field workers whose context makes smartphone login impractical, privacy-averse users who refuse biometric binding and customers on file who never completed a digital sign-up. The reflexive assumption is that the gap maps to older customers. The evidence pushes back. The Lloyds 2025 Consumer Digital Index reports 86% of UK adults aged 60+ are online and 93% of those online use internet banking monthly. The Pew Research 2024 internet usage report shows US adults aged 65+ at 90% internet adoption. Older customers in regulated markets have logins. They may use them less often, but they are not the absence cohort.

7. Field Workers, Trades and Shift Roles without Smartphones at Hand#

A sizable slice of the gap sits with customers whose work context makes smartphone login impractical. Field workers, trades, heavy-machinery operators, warehouse staff and shift workers cannot take a personal device onto the floor. The technology is not the barrier. The context is. BLS 2024 Employment Data puts US non-desk occupations at over 70 million workers. Any fix has to work when the personal device is out of reach during the work day. It often has to accommodate a shared workstation instead, with clear session isolation so credentials do not leak between users on the same device.

8. Privacy-averse Users and Customers on File who never completed Sign-up#

A smaller but durable segment is privacy-averse. They do not want a biometric stored on a device they do not fully trust. They may own the smartphone. They choose not to use it for login. This cohort responds to paths that do not require biometric binding, such as a hardware security key or a device-bound credential unlocked with a user PIN.

The largest segment is different. Customers are known to the enterprise through a branch, broker, agent or clinic intake. They either never attempted a digital sign-up or tried and dropped off. They are operationally known and digitally invisible at once. This is where most of the digitization loss happens and where authentication telemetry has the biggest leverage.

9. Why Digitization is the CEO-level Strategic Driver#

Every CEO in a regulated industry is under explicit pressure to push more customers into digital channels. Cost-to-serve compression, agentic AI, shrinking branch footprints and disappearing paper statements all make each non-digital customer more expensive every year. McKinsey's 2024 retail-banking report documents a leading Asian bank cutting its cost-to-income ratio for online customers by 50% versus traditional ones. UK consultancy estimates place the fully loaded cost of a traditional retail current-account customer at GBP 100-250 per year. Digital-native challengers operate at a fraction of that. The ABA Bank on It 2025 report puts Australian banks at 99.3% online interactions. The gap widens every year the offline cohort stays offline.

10. Why getting Users into digital Channels is a Strategic Question#

A customer who cannot sign up or log in digitally costs more to serve. They cannot be routed through agentic AI. They are invisible to cross-sell. They produce no behavioral data the enterprise can learn from. Regulators amplify the pressure: PSD3, the ONC Cures Act Final Rule, CMS interoperability rules and eIDAS 2.0 all assume customers can authenticate on their own device. The Baymard Institute 2025 checkout research puts account-creation friction among the top reasons for e-commerce abandonment. Regulated channels show the same pattern at higher severity, because identity-binding and risk-based step-up requirements make every extra step more likely to fail.

11. Why Agentic AI raises the Stakes further#

Agentic commerce, chat-based banking, AI-assisted insurance claims and voice-driven healthcare triage all assume the customer has a digital identity the system can authenticate against. An agent calling an API on behalf of a customer cannot call it for a customer who does not exist digitally. The 2025 FIDO Alliance Passkey Index shows passkey ceremonies succeed 93% of the time versus about 63% for password plus SMS OTP. That delta compounds for agentic flows. Every failed step triggers a human handoff and erases the cost advantage of automation. OpenAI's 2025 operator research and Anthropic's Claude computer-use release both assume an already-authenticated user session.

12. Why Backend Logs miss most Sign-up and Login Failures#

Over 80% of sign-up and login failures happen on the consumer's device before any request reaches the backend IdP, per Corbado authentication observability data. Baymard's 2025 checkout studies document matching form-abandonment rates of 20-40% on mobile, often before any server request fires. The IdP sees a healthy success rate on the requests it did receive. The real failure rate stays hidden. Per Corbado observability data, silent failures cluster on specific device, OS or browser combinations and hit predictable cohorts disproportionately. The Can I Use WebAuthn registry documents the browser-level variance that drives most failures.

13. Login Failures as a Revenue Metric#

Sign-up abandonment and login failure are revenue metrics, not operations metrics. The Corbado analytics playbook correlates elevated failed-login rates with churn, support volume and abandoned-session revenue loss. Forrester places the fully loaded cost of a password-reset incident at roughly USD 70.

Questions that decide P&L, answerable only from client-side telemetry:

  • Which cohorts fail to sign up or log in, on which devices, at which point in the flow?
  • Is the failure a UX, device-capability, recovery or delivery issue?
  • What is the revenue-weighted cost of those failures in the last quarter?
  • Which interventions pay back fastest, and for which segment?

14. Authentication Telemetry as the Foundation#

Authentication telemetry is the client-plus-server data layer that captures every sign-up and login event, including the ones that never reach the backend, and correlates them with business outcomes. It is the precondition for every downstream digitization decision. A telemetry layer captures the full ceremony on the client: which authenticator was available, which prompt was shown, how the user responded, which transport failed, how long each step took and which device, OS and browser version was in use. Correlated with the server-side outcome, it produces a complete picture of why a session succeeded or failed, down to the cohort. The authentication observability article covers the event model and its mapping to the WebAuthn and FIDO2 specifications.

15. Connecting Login Data to Business Outcomes#

Telemetry is useful when it exposes metrics that map directly to P&L. The starter set, adapted from the Corbado analytics playbook and the authentication error rate KPI:

MetricBusiness Outcome it drives
Sign-up Completion RateDigitization KPI, customer-acquisition-cost payback
Login Success Rate (LSR)Conversion on every authenticated page, renewal, checkout
Authentication Error Rate (AER) by reason codeSupport-ticket volume and cost per incident
Authentication Drop-Off RateLost revenue on abandoned sessions
Reach Rate by CohortSegment-level digital-channel ceiling
Time-to-first-authenticated-ActionOnboarding conversion and cost-to-serve

Each row becomes observable only when the telemetry layer captures client-side events and correlates them with server-side outcomes.

16. Telemetry as a Precondition, not a Reporting Tool#

Authentication telemetry is not a reporting tool. It is the precondition for every strategic decision about digital channels. Sign-up flow investment, agentic-AI rollout timing, support staffing, channel-specific help content and credential strategy (SMS OTP, passkeys, hardware keys) all depend on knowing why specific cohorts succeed or fail.

Enterprises without telemetry run three classic anti-patterns at once:

  • Redesigning a sign-up flow based on aggregate conversion, when the failures concentrate in one browser segment
  • Pushing credential upgrades to the wrong cohort, because the largest failing segment never reaches the prompt
  • Reporting healthy success rates to the board, because client-side failures never surface
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17. How to close the Digital Identity Gap: Instrument the Funnel first#

Closing the gap starts with making sign-up and login work for the cohorts that fail. Identity-binding layers on only where the use case requires it. Telemetry is the precondition. The first step is visibility: capture every sign-up and login event from the client, correlate with the backend and segment by cohort. The authentication analytics playbook covers the minimum event model. Corbado observability data shows enterprises typically discover their reported success rate overstates reality by 10-25 percentage points once client-side events are captured. Baymard's 2025 checkout research documents the same abandonment pattern in e-commerce at comparable severity.

18. Fix Client-side Failures and match Authentication Options to the Segment#

Most gap closure happens through fixing boring failure causes. Missing email verifications. SMS OTP delivery failures. Expired sessions. Browsers without WebAuthn support. Password managers fighting the form. Confusing prompts on older operating systems. The Baymard checkout research ranks account-creation friction among the top abandonment drivers; regulated onboarding repeats the pattern at higher severity.

Different cohorts then need different options. Mobile-first customers respond to passkeys. The FIDO 2025 consumer survey reports 69% of consumers have enabled passkeys on at least one account. Field workers need options that do not require a personal smartphone. Privacy-averse users respond better to hardware keys or PIN-unlocked device credentials than to biometric binding. The goal is to maximize successful logins across the full base, not a single credential type.

19. Supervised Onboarding and Identity Verification#

For customers who still cannot complete a digital sign-up unaided, the operational unlock is supervised enrollment in channels they already use: branch, call center and clinic. A staff member completes the sign-up on a tablet or via a handoff link. A credential lands on the customer's own device using cross-device flows. The customer can log in from home afterwards.

Digital identity verification is a separate tool for a separate problem: binding a legal identity to a digital session when the use case requires it. That includes new-account opening in regulated markets, high-value transactions and regulated self-service. For most existing customers the question is not "did we legally proof them again?". It is "can they actually get into their account?". NIST 800-63 rev. 4 and eIDAS 2.0 matter for the proofing layer when required. Most digitization wins come from fixing sign-up and login first.

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20. Sign-up Completion Rate by Cohort#

Three segmented metrics make the digital identity gap visible. The first is sign-up completion rate by cohort. Of customers who started a digital sign-up in the last quarter, what percentage completed and logged in at least once, segmented by acquisition channel, device and browser. A bank may show 85% overall but 45% on older Android devices or 30% on a specific browser version. Those cohorts block the digitization KPI. They are invisible in an aggregate number. The authentication error rate KPI reference covers the segment-level measurement approach, and Google's Core Web Vitals 2024 report documents a direct correlation between mobile-specific device variance and conversion loss.

21. Reach Rate and Time-to-first-authenticated-Action#

Reach rate divides active digital users by the full customer base, not by the active subset. It segments by channel of account opening and activity recency. See passkey analytics for the event model. A bank that shows 55% aggregate adoption may show 75% in the mobile-app cohort, 35% in the branch-acquired cohort and 0% in the never-logged-in cohort. The second and third numbers drive the roadmap.

Time-to-first-authenticated-action measures latency from account opening to the first strongly-authenticated interaction. Authentication process mining explains the measurement approach. A 7-day median indicates healthy onboarding. A 90-day median indicates a cohort that signed paperwork and never came back.

22. Conclusion#

Digitization is the CEO-level KPI in every regulated industry. The digital identity gap is the single largest thing blocking it. Reported online adoption is calculated on the subset of customers who already made it past sign-up and login. The headline hides the 15-40% of the base who silently fail or never try. With agentic AI, PSD3, eIDAS 2.0 and shrinking branch footprints all assuming a digitally active customer, that hidden cohort is a strategic problem, not a UX problem.

The unlock in 2026 has two parts. First, authentication telemetry that makes every sign-up and login event visible and segmented by cohort, including the 80%+ that never reach the backend. That lets the enterprise see why specific users fail and which fixes pay back. Second, a digital channel that works for the cohorts currently failing, with authentication options matched to the segment and supervised onboarding in branch, call-center and clinic channels. Measured honestly, reported adoption is lower than the headline. Addressable digitization upside is larger.

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23. FAQ#

What is the digital Identity Gap?#

The digital identity gap is the share of a regulated-industry customer base that exists on file but never activated or used a digital login. In US banking, FDIC 2023 reports about one in three banked households did not use online banking at least once that year. In US healthcare, the never-accessed-portal cohort reaches 38.7% of adults (HINTS/JMIR 2025). The gap is invisible to adoption dashboards because they count only users with a recent digital session.

Why is digitization a CEO-level Priority in 2026?#

Cost-to-serve compression, agentic AI, shrinking branch footprints and regulatory pressure all reward enterprises that route more customers through digital channels. McKinsey's 2024 retail-banking report documents a leading Asian bank cutting its cost-to-income ratio for online customers by 50% versus traditional ones. Every customer who fails to sign up or log in directly blocks the digitization KPI the board is tracking.

Why is the reported digital Adoption Number misleading?#

Reported digital adoption divides active users by active users, not by the full customer base. The cohort that failed sign-up or never came back is excluded from the denominator. That overstates reach. A 45% adoption headline over active users can map to 37% reach over the full base. The passkey business-case guide walks through the decomposition with worked numbers.

Why do backend IdP Logs miss most Login Failures?#

Over 80% of login failures happen on the consumer's device before any request reaches the backend IdP, per Corbado authentication observability data. Abandoned sign-ups, undelivered email or SMS verifications, browsers without WebAuthn support, prompts that time out and popups the browser blocked - none of these events appear in the IdP log. The backend sees a healthy success rate on the requests it did receive. Client-side telemetry is the precondition for real visibility.

Why is Authentication Telemetry so important?#

Authentication telemetry is the client-plus-server data layer that captures every sign-up and login event, including client-side failures. It correlates them with business outcomes like churn, support cost and revenue. Without it, an enterprise cannot tell why specific cohorts fail. It cannot rank interventions by payback. It cannot defend the number it reports to the board. It is the precondition for every strategic decision about digital channels.

How does Identity Verification fit in?#

Digital identity verification matters where the use case explicitly requires binding a legal identity to a digital session. That includes new-account opening in regulated markets, high-value transactions and specific regulated self-service flows. For most existing customers, the digitization question is not "did we proof them again?". It is "can they actually get into their account?". Most closure of the gap happens by fixing sign-up and login before any new proofing layer is invoked.

What should Enterprises measure instead of aggregate Adoption?#

Three segmented metrics: sign-up completion rate by device and browser cohort, reach as a percentage of the full customer base (not just active users) and time-to-first-authenticated-action. All three depend on an authentication telemetry stack so reliability, error and drop-off KPIs correlate with business outcomes. The aggregate adoption number alone hides the ceiling that blocks digitization.

24. About Corbado#

Corbado is an authentication telemetry and passkey adoption layer that sits above existing IdPs and onboarding stacks. The platform captures client-side sign-up and login events that backend logs miss. It reports reach against the full customer base, not only the active subset. It supports supervised branch, call-center and clinic enrollment flows via cross-device credential provisioning. It integrates alongside identity-verification vendors rather than replacing them. Corbado's Connect product provides the drop-in telemetry and adoption layer for regulated enterprises already running an IdP such as ForgeRock, Ping, Okta or Keycloak.

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