Canonical URL: https://elacelerador.es/en/cases-and-research/veriff-five-routes-to-growth-through-a-provable-trust-platform/ --- description: Veriff attempted-fraud rates describe an exposure. Commercial value also depends on legitimate customers who complete verification and proceed. title: Veriff: fraud blocked and the customer that can be lost image: https://elacelerador.es/images/social/v1/veriff-blocking-fraud-also-means-counting-who-gets-left-out-39db4295474f8b5d890f24e0012b3b63.jpg --- 1. [Home](https://elacelerador.es/en/) 2. [Cases and research](https://elacelerador.es/en/cases-and-research/) # Veriff: blocking fraud also means counting who gets left out The supplier recorded attempted fraud in 19.2% of observed ecommerce verifications in 2025\. Buyers need to assess that exposure alongside the passage of legitimate customers. By [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 13 October 2026 at 01:41 CEST 5 min read [ Add as preferred source ](https://www.google.com/preferences/source?q=elacelerador.es&utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) Share [ ](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Felacelerador.es%2Fen%2Fcases-and-research%2Fveriff-five-routes-to-growth-through-a-provable-trust-platform%2F%3Futm%5Fsource%3Dlinkedin%26utm%5Fmedium%3Dsocial&utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es "Share on LinkedIn. 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Preview requests: 0") [ ](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Felacelerador.es%2Fen%2Fcases-and-research%2Fveriff-five-routes-to-growth-through-a-provable-trust-platform%2F%3Futm%5Fsource%3Dfacebook%26utm%5Fmedium%3Dsocial&utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es "Share on Facebook. Preview requests: 0") ![A hand places a passport on a reader beneath an instruction screen.](https://elacelerador.es/images/variants/v1/veriff-blocking-fraud-also-means-counting-who-gets-left-out-hand-places-w1280.webp) Automated passport check at Rome Fiumicino Airport, photographed in 2018\. Context photograph of identity verification; it does not show the Veriff platform. Framing adapted. Photo: [Teolemon · CC BY-SA 4.0](https://commons.wikimedia.org/wiki/File:Automated%5FPassport%5FCheck%5Fat%5FRome%5FFiumicino%5Fwith%5Finstruction%5Fscreen.jpg?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) **In this report** 1. [An attempt rate is not a loss avoided](#article-section-an-attempt-rate-is-not-a-loss-avoided) 2. [The legitimate customer belongs in the result](#article-section-the-legitimate-customer-belongs-in-the-result) 3. [Expansion needs another reason for use](#article-section-expansion-needs-another-reason-for-use) 3 figures * [Veriff 2025 customer data: attempted fraud by observed scope](#article-figure-1) * [Merchants report risks at several stages](#article-figure-2) * [False rejection also affects legitimate buyers](#article-figure-3) 1 tables * [The legitimate customer belongs in the result](#article-table-1) [Download data (CSV)](https://elacelerador.es/en/download.csv?article=%2Fen%2Fcases-and-research%2Fveriff-five-routes-to-growth-through-a-provable-trust-platform%2F) Chart values, table cells, source references and the report revision date. Veriff found attempted fraud in 19.2% of ecommerce verifications included in its 2026 report , compiled from 2025 customer data. The figure describes pressure within those observed sessions. For a company considering verification, it opens a second question: how many legitimate customers can pass without admitting the risk it wants to avoid. Selection has two possible costs. Approving an impostor exposes the business to losses; rejecting or losing a valid customer removes a commercial relationship. Service value lies in managing those outcomes together. A detected-attempt rate cannot calculate it on its own. ## An attempt rate is not a loss avoided The same report's global aggregate was 4.18%. The difference places ecommerce at a high exposure within the supplier's data. The aggregate includes sectors, so the bars compare different observed scopes. Neither represents population-wide fraud prevalence or a share of money lost. The data behind the story ### Veriff 2025 customer data: attempted fraud by observed scope Net fraud as a percentage of verification attempts in the 2026 report. The aggregate and ecommerce subset are different scopes, not independent samples. Net attempted-fraud rate % of verification attempts Tap or hover for details. All values are also available in the data table. Expand notesCollapse notes **Source:** Veriff Identity Fraud Report 2026: 2025 data Vendor customer sessions, not population prevalence or financial loss. The aggregate includes sectors. Raw subgroup sizes and uncertainty are not supplied here. Explore the data table Scroll left or right to see all columns __Veriff 2025 customer data: attempted fraud by observed scope (% of verification attempts)__ | Category | Net attempted-fraud rate | | ---------------- | -------------------------------- | | Global aggregate | 4.18 % of verification attempts | | Ecommerce subset | 19.20 % of verification attempts | Attempts also carry different economic consequences. Opening a false account, accessing an existing one and completing a high-value operation involve different sums and tasks. Turning risk into a buying decision requires identifying the event verification protects and what follows its approval. Identity is one risk within a broader set. The MRC and partners’ survey, reproduced by Statista and conducted in late 2025, found that 31% of fraud managers had experienced identity theft and 24%, account takeover, while 41% cited refund or policy abuse. These are shares of merchants reporting an experience, not fraudulent-transaction rates. The comparison separates risks that may require different controls and avoids promising that an initial identity check resolves every form of subsequent fraud. The data behind the story ### Merchants report risks at several stages Selected fraud types experienced in the preceding twelve months. Global survey fielded November–December 2025. Respondents Tap or hover for details. All values are also available in the data table. Expand notesCollapse notes **Source:** Statista Statista / MRC: 634 ecommerce fraud managers. Business experiences, not shares of transactions or losses. Selected non-exclusive types. Market context, not Veriff effectiveness. The larger primary payments-and-fraud study total does not replace this subgroup base. Explore the data table Scroll left or right to see all columns __Merchants report risks at several stages (%)__ | Category | Respondents | | ----------------------- | ----------- | | Refund or policy abuse | 41% | | Real-time payment fraud | 38% | | Identity theft | 31% | | Account takeover | 24% | That difference matters to Veriff's commercial promise. Sector data can justify a discussion about exposure, but customers need to assess the solution within their own workflow and rules. Transferring the report percentage into projected savings would exclude the value of each operation and the buyer's other defences. ## The legitimate customer belongs in the result Veriff's public platform distinguishes initial identity checks, biometric authentication for returning users and business verification. That division places controls at different decisions. Asking for proof at account opening and confirming who returns serve different commercial purposes. Evaluation needs to follow the complete journey. A user can begin capture, repeat it and leave before receiving a decision. Another can be declined and recover access following review. Reducing that journey to automated approvals loses information about the experience and the assistance required. The cost of excluding a valid person also appears beyond document checks. Forter and Opinion Matters’ 2023 survey, reproduced by Statista, records false payment declines among 56% of US and 35% of UK shoppers surveyed. Forter retrospectively confirms both figures in its 2024 report. This is a reported payment experience, not an identity-verification error rate or a Veriff result. Its role in the comparison is to show why correctly admitting customers needs its own record alongside blocked fraud. The data behind the story ### False rejection also affects legitimate buyers People reporting an incorrectly declined online payment. Two markets from the 2023 survey. Respondents Tap or hover for details. All values are also available in the data table. Expand notesCollapse notes **Sources:** Statista; Forter: original historical confirmation Forter / Opinion Matters: 5,000 adults across five countries, at least two active ecommerce accounts and an online purchase in the previous three months; per-country base not verified. Historical context. Share of people, not transactions; not KYC, document-check abandonment or Veriff errors. Explore the data table Scroll left or right to see all columns __False rejection also affects legitimate buyers (%)__ | Category | Respondents | | -------------- | ----------- | | United States | 56% | | United Kingdom | 35% | Scroll left or right to see all columns __The legitimate customer belongs in the result__ | Observation | Economic question | | ----------------------------------------- | --------------------------------------------------------------------- | | Fraudulent attempt declined | Which operation is protected and which potential loss remains exposed | | Legitimate customer completes the process | Which commercial relationship can begin or continue | | Retry, abandonment or review | Which work it adds and which customer can remain unserved | Expand notesCollapse notes A useful comparison keeps the customer type and protected event stable. If a group supplies harder-to-check documents, its decision time has a different meaning. Speed is valuable when it accompanies an appropriate decision and an operation the customer can complete. Cost also continues outside the verification engine. Retries, review and assistance for blocked users require work from the buyer. A lower session price can accompany more effort per admitted account. The economic comparison needs to follow that outcome alongside residual risk. ## Expansion needs another reason for use A company buying initial verification may later need to protect access or check business partners. Platform breadth opens those conversations, but each module adds a task and a cost. Another available product does not establish that the account needs to buy it. Expansion earns its place when a specific event remains outside the previous control and the buyer needs to address it. Its consequence supplies the criterion: which access it protects, which relationship it enables and how much work it adds. That explanation lets the sale follow an observable need rather than a general trust label. Veriff's strongest commercial argument connects what blocked fraud protects with what a legitimate customer can do. An admitted account completing its intended operation provides economic evidence closer to the business than a fast verification whose journey ends in abandonment. [Back to top ↑](#article-top) ## In this article ### Sources and documents * [Veriff: 2026 fraud report, 2025 data](https://www.veriff.com/reports/veriff-fraud-report?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · www.veriff.com * [Veriff verification products](https://www.veriff.com/?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · www.veriff.com * Statista * [Forter: original historical confirmation](https://explore.forter.com/2024-trust-premium-report/p/1?utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es) · explore.forter.com Share [ ](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Felacelerador.es%2Fen%2Fcases-and-research%2Fveriff-five-routes-to-growth-through-a-provable-trust-platform%2F%3Futm%5Fsource%3Dlinkedin%26utm%5Fmedium%3Dsocial&utm%5Fsource=elacelerador.es&utm%5Fcampaign=elacelerador.es "Share on LinkedIn. 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His work spans product marketing, SEO, paid advertising and deep online tracking, including behavioral analytics and attribution. ## Related articles [Cases and research](https://elacelerador.es/en/cases-and-research/) Analysis ### [SHIELD: a coupon’s cost depends on who claims it again](https://elacelerador.es/en/cases-and-research/shield-coupon-cost-accounts-legitimate-customers/) [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 17 October 2026 6 min [Cases and research](https://elacelerador.es/en/cases-and-research/) Analysis ### [Safeguard Global: the calculator pricing two routes to expansion](https://elacelerador.es/en/cases-and-research/safeguard-global-calculator-eor-entity-expansion-cost/) [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 17 October 2026 6 min [Cases and research](https://elacelerador.es/en/cases-and-research/) Analysis ### [AIOS and Bolt: a three-minute promise needs to explain the review that follows](https://elacelerador.es/en/cases-and-research/aios-bolt-consultation-approval-conversion/) [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 17 October 2026 5 min **In this report** 1. [An attempt rate is not a loss avoided](#article-section-an-attempt-rate-is-not-a-loss-avoided) 2. [The legitimate customer belongs in the result](#article-section-the-legitimate-customer-belongs-in-the-result) 3. [Expansion needs another reason for use](#article-section-expansion-needs-another-reason-for-use) [Download data (CSV)](https://elacelerador.es/en/download.csv?article=%2Fen%2Fcases-and-research%2Fveriff-five-routes-to-growth-through-a-provable-trust-platform%2F) [Back to top ↑](#article-top) ## Related articles [Cases and research](https://elacelerador.es/en/cases-and-research/) Analysis ### [SHIELD: a coupon’s cost depends on who claims it again](https://elacelerador.es/en/cases-and-research/shield-coupon-cost-accounts-legitimate-customers/) [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 17 October 2026 6 min [Cases and research](https://elacelerador.es/en/cases-and-research/) Analysis ### [Safeguard Global: the calculator pricing two routes to expansion](https://elacelerador.es/en/cases-and-research/safeguard-global-calculator-eor-entity-expansion-cost/) [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 17 October 2026 6 min [Cases and research](https://elacelerador.es/en/cases-and-research/) Analysis ### [AIOS and Bolt: a three-minute promise needs to explain the review that follows](https://elacelerador.es/en/cases-and-research/aios-bolt-consultation-approval-conversion/) [Marian Vasile](https://elacelerador.es/en/author/marian-vasile/) 17 October 2026 5 min ```json {"@context":"https://schema.org","@graph":[{"@type":["Organization","NewsMediaOrganization"],"@id":"https://elacelerador.es/#publisher","name":"El Acelerador","url":"https://elacelerador.es/","description":"Marketing and growth hacking with examples from Spanish companies.","email":"pr@elacelerador.es","publishingPrinciples":"https://elacelerador.es/en/editorial-policy/","correctionsPolicy":"https://elacelerador.es/en/editorial-policy/","verificationFactCheckingPolicy":"https://elacelerador.es/en/editorial-policy/","masthead":"https://elacelerador.es/en/about/","ownershipFundingInfo":"https://elacelerador.es/en/about/","logo":{"@type":"ImageObject","url":"https://elacelerador.es/icon-512.png?v=20261017-stacked"}},{"@type":"Person","@id":"https://elacelerador.es/author/marian-vasile/#person","name":"Marian Vasile","url":"https://elacelerador.es/en/author/marian-vasile/","description":"Marian Vasile is a MarTech and growth professional. 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