This document summarizes the preliminary results of a survey on merchants' costs of processing cash and card payments. The survey collected cost data from 253 large merchants across 10 European countries. The results suggest:
1) Merchants' marginal costs of accepting cash were higher than their marginal costs of accepting debit and credit cards, according to two scenarios analyzed.
2) Based on these cost differences, the maximum interchange fee ("MIT MIF") that would make merchants indifferent between cash and card payments was estimated to be 0.11-0.15% for debit cards and 0.02-0.07% for credit cards.
3) However, the results are preliminary and limited to the surveyed merchants, with
The European Commission’s new rule on credit cards will cut 200 million commissions in Italy: will a subscription fee be introduced? With a contribution by Gabor Friedenthal, Dep. Managing Director, and Daniele Pontecorvo, SEM
PSD2: The Advent of the New Payments Market in EuropeTransUnion
Register today for this webinar that summarizes Aite Group’s PSD2 Research Report, commissioned by iovation, a TransUnion Company, providing an in-depth analysis of how those in the payment services and e-commerce market should prepare to handle the new strong customer authentication (SCA) requirements under the second Payment Services Directive (PSD2).
Join Angie White, Product Marketing Manager and PSD2 expert at iovation, a TransUnion Company, and Ron Van Wezel, Senior Analyst at Aite Group's Retail Banking and Payments Practice, as they analyze the results of the actual market status in Europe regarding the main changes that PSD2 will bring to the online payments market. Learn what Aite Group concluded after interviewing 20 payments executives from European banks, other PSPs, merchants, payment networks and industry experts.
Key takeaways:
The impact of PSD2, highlighting the priorities that organizations have yet to manage in the transition to the new world after PSD2.
How organizations seek to implement the requirements for secure customer authentication (SCA) and minimize the impact on customer experience.
An analysis of the potential of payment innovation and open banking as a result of PSD2.
If you haven’t already, register for this complimentary research report, PSD2: Advent of the New Payments Market in Europe.
Read the overview of the implications of PSD2 for the payment space in relation to fraud prevention and authentication, including recommendations for banks and other players on how to comply while minimizing friction during the payment process.
20190131 - Presentation Q&A on legislation's influence (on travel management)Tommy Vandepitte
Presentation given at the event organised by ACTE and BATM on 31 January 2019 addressing a few questions on the payments legislation that are relevant for travel and expense manager.
While the convenience and speed of card payments are undeniable, merchants must navigate a complex web of credit card payment processing fees and rates. Visit us at: https://webpays.com/best-credit-card-payment-companies.html
What does PSD2 and SCA mean? How will this change the customer journey? How can 3DS2 help enhance the CX and boost acceptance rates? And how are Worldpay leading the way to help our customers plan for this fundamental shift?
How the UK's #1 Mobile Network Enhanced Its Approval Rate by 10%, with Zero F...Vesta Corporation
As digital payments continue to increase in popularity, businesses across the globe are looking for ways to increase approvals of these transactions while preventing fraud and delivering a seamless payment experience for their customers.
EE, the largest mobile network in the UK, understands how difficult it is to strike the perfect balance between these three key pillars of e-commerce, so they selected Vesta to manage their card-not-present top-up services. Thanks to Vesta's advanced approval enhancement and fraud prevention technology, EE increased its card not present approval rate by over 10% with zero fraud liability.
Vesta also worked within the 3D Secure Framework with 2-Factor Authentication to deploy a proprietary orchestration layer that reduced 3D Secure challenges by 30% while ensuring a frictionless payment experience for EE's customers.
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Register today for this webinar that summarizes Aite Group’s PSD2 Research Report, commissioned by iovation, a TransUnion Company, providing an in-depth analysis of how those in the payment services and e-commerce market should prepare to handle the new strong customer authentication (SCA) requirements under the second Payment Services Directive (PSD2).
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How organizations seek to implement the requirements for secure customer authentication (SCA) and minimize the impact on customer experience.
An analysis of the potential of payment innovation and open banking as a result of PSD2.
If you haven’t already, register for this complimentary research report, PSD2: Advent of the New Payments Market in Europe.
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How the UK's #1 Mobile Network Enhanced Its Approval Rate by 10%, with Zero F...Vesta Corporation
As digital payments continue to increase in popularity, businesses across the globe are looking for ways to increase approvals of these transactions while preventing fraud and delivering a seamless payment experience for their customers.
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Медицина, как и ожидалась, подходит к фазе "Платформизации" и "Цифровой экономики". Что меняется в ИТ инфраструктуре, какие решения и алгоритмы повлияют на применение инструментов BigData и BI при автоматизации в клинических и административных процессах ?
Video http://confhall.hse.ru/videos/video/824/ at 12 min
Технологии "цифровых валют" стимулировали появление новых технологий для работы с распределенными базами данных и ведения электронных реестров. Самая известная из них - Blockchain обеспечивает надежное хранение информации, передачу ее между участниками информационного обмена, повышает прозрачность деловых отношений и устраняет манипуляции между участниками. Имеются высококачественные библиотеки кода, распространяемые по модели свободного ПО, доступные для встраивания в широкий круг систем. Крупные корпорации, такие как IBM, Microsoft, Amazon, Intel объединяются в консорциумы по исследованию и развитию данной тематики. Для медицинской информатики наибольшее прикладное значение blockchain имеет для автоматизации "умных контрактов" (smart-contracts) - организации передачи медицинской информации, деловой документации и материальных ценностей. К такой информации относятся записи в электронной медицинской карте, генетические анализы, конфиденциальные протоколы, нотариальные доверенности, передача интеллектуальных прав, акты-приема передачи биоматериалов, оборудования, лекарственных и наркосодержащих препаратов и пр. В отличие от обычного процесса "сдал"-"принял", blockchain устраняет конфликт интересов двух сторон, т.к. в технологии ведется полная история движения актива. На каждом шаге перемещения организуется валидация информации путем "голосования" всех узлов-участников информационного обмена. Это делает невозможным подделку информации и факта приема-передачи любым из участников процесса, и даже по сговору нескольких участников.
В докладе будут рассмотрены ключевые свойства технологии blockchain, имеющие значение для медицинской информатики. Будут приведены примеры пилотных и промышленных ИТ решений для здравоохранения, применяющих данную технологию для автоматизации лабораторных и клинических процессов.
Многие отрасли экономики и промышленности претерпевают, из-за широкого распространения информационных технологий и телекоммуникаций, значительные изменения. Указанное явление получило название «диджитализация» («цифровой бизнес»). Причем речь сегодня идет уже не о появлении каких-либо он лайн сервисов или использовании интернет-сайтов.
«Диджитализация» - это новая модель бизнеса, охватывающая людей, бизнес-процессы, «интернет вещей» за счет широкого использования информационных технологий, Интернета и всех их свойств. Благодаря интернет технологиям, «цифровой бизнес» легко масштабируем для всего глобального мира и может обеспечить эффективное персональное обслуживание всех клиентов, везде и всегда. Некоторые эксперты называют «диджитализацию» – четвертой технологической революцией, аналогичной открытиям электричества, двигателя внутреннего сгорания, ядерной энергетики.
Отраслями, которые трансформируются через «диджитализацию», уже стали торговля, медицина, транспорт, финансы, государственные услуги, образование.
Через «диджитализацию» уже прошло драматическое переформатирование розничной торговли. Российские и международные e-commerce площадки: Amazon, Ozon, Aliexpress, Avito, Exist, Юлмарт и др. заменяют собой традиционные форматы торговли, вовлекая в отрасль значительные деньги и инвестиции.
Следующим, по драматичности, где трансформация в стиле «диджитал» тоже достигла пика, является банковская и финансовая деятельность. Конечно, банки существуют уже сотни лет, и их консерватизм обоснован – новые технологии порой могут создать риски, неприемлемые для такой тонкой вещи – как работа с деньгами клиентов.
Вместе с тем – игнорируя потребности клиентов, не реагируя на их пожелания, не учитывая тренды экономики и социальной жизни – традиционный банк оказывается под серьёзной угрозой. Это иллюзия – что клиента можно удержать банковской лицензией, закрытостью и неизменяемыми технологиями. Даже инертные потребители начали ценить индивидуальное отношение к себе и банковские инновации. Например, владение сетью собственных офисов уже не является для клиентов ценным, т.к. они уже предпочитают общаться с банком в режиме он лайн через Интернет или мобильные приложения.
Ценится предложение банком комплексных услуг – страховых, платежных, государственных, оказываемых вместе с партнерами. Только через интеграцию с другими лидерами можно значительно улучшить полезность банковских услуг, а не путем самоограничений и монополизма.
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Survey on Merchants' Costs of Processing Cash and Card Payments in EU
1. Survey on Merchants' Costs of
Processing Cash and Card Payments
Preliminary Results
19 February 2014
2. Background
• Visa and MasterCard MIF cases
• MIFs are a restriction of competition
• 'Merchant Indifference Test' MIF benchmark:
• Merchants should not pay higher charges than the value of
transactional benefits that card use generates for them
• The MIF that meets the test is set at such a level that the
merchant is at least indifferent as to whether the customer pays
by card or in cash
• MIF income can then be used to stimulate uptake of cards on the
issuing side
2
3. Study history
Study on "Costs and benefits to merchants of accepting different
payment methods" (COMP/2008/D1/020): December 2008 –
September 2010
• Methodology + pilot internet survey in 3 countries
• Very low response rate, incomplete and unreliable responses
• Unsatisfactory methodological recommendations, need for further testing
Testing phase: January – June 2011
• In-depth interviews with 7 Dutch and British retailers
• Conclusion: workable questionnaire, but need for in-depth survey
Stakeholder consultation: October – December 2011
Revision of methodology: two-part approach
3
4. Methodology: two-part approach
1st part: survey of large merchants to collect detailed and precise
data on costs and estimate cost functions
• Target: 500 merchants (turnover>€50/20 million) in 10 countries (AT,
BE, DE, ES, FR, IT, NL, PL, SE, UK)
2nd part: survey of representative sample of merchants to collect data
on value and volume of payments and try to extrapolate cost function
to smaller merchants
• Target: 2000 merchants in same 10 countries, stratified according to
the 8 Eurostat size categories
• Both surveys contracted to Deloitte Consulting at the end of 2012
• Both delivered lower number of responses than the target
• Commission's analysis ongoing, only cost survey discussed today
4
5. Conclusions already possible?
• No; preliminary nature and limited applicability of information
presented today
• Further analysis required before the final report
• Application: assessment in competition cases
• For now, preliminary results do not form a reason to question the
0.20% and 0.30% caps applied by the schemes
5
6. Data collection – cost survey
In-depth survey to collect data on:
• Number and value of F2F transactions with cash, domestic debit cards, int'l four-
party debit cards, int'l four-party credit cards (data on at-distance transactions and
other payment means also collected)
• Cost level
• Cost nature (fixed vs variable costs)
Relevant costs:
• Payment processing at the till (time measurements)
• Back-office labour (annual hours per task, hourly wage)
• Outsourced back-office activities (typically cash-related)
• MSC per card type (total amount and structure)
• Payment processing equipment
• PCI-DSS
• Fraud and losses
• Surcharges and rebates (negative cost)
• Float (lost interest)
6
7. Coverage
7
249 billion EUR
card value
414 billion EUR
retail turnover
Coverage of the sample
Country
Number of
observations
Coverage in terms of
value of card
transactions (ECB data)
Coverage in terms of
retail trade (Eurostat
data)
Austria 15 5.6% 7.1%
Belgium 27 6.6% 5.8%
France 33 14.2% 17.1%
Germany 24 8.6% 8.0%
Italy 18 9.7% 6.6%
Netherlands 16 4.4% 4.9%
Poland 24 22.0% 16.9%
Spain 18 9.0% 5.8%
Sweden 50 9.5% 14.6%
UK 28 19.7% 37.0%
Grand Total 253 13.8% 14.7%
Total EU 12.2% 13.1%
11. Distribution of payment instruments
11
ATVs:
CASH 15 EUR
DEBIT 42 EUR
CREDIT 51 EUR
OTHER 41 EUR
12. MIF calculation methodology
Linear cost functions:
TCj = Fj + aj*Nj + bj*Vj
where Fj - fixed costs of payment instrument j, aj – cost incurred each time a transaction with j takes place, Nj
– number of transactions with j, bj – cost incurred per unit of turnover with j, Vj – value of transactions with j
MIT MIF – based on marginal cost of cash and cards (net of
current MIF)
MCj = AVCj = aj + bj* ATVj
• MIT MIF = (acash – acard )/ATVcard + (bcash – bcard)
• (%) (€) (€) (%)
12
13. MIT MIF
Marginal
cost of
CASH
Marginal cost
of CARD
Acquiring
margin
MIFMSC
Other costs
of cards
Other costs
of cards
Acquiring
margin
MIT MIF
Capped
marginal cost
of CARD
MIT
MSC
MIF
14. MIF calculation methodology
• Identification of cost nature (fixed, variable by number, variable by
value) – based on individual responses
• 2 scenarios for identifying cost nature considered:
• Scenario 1: change triggered by one additional transaction
• Scenario 2: a 10% decrease in number of cash transactions over 3-4
years, replaced by card transactions
• Cost functions computed at merchant level, aggregated based on
merchants' relative number and value of card transactions
• Average acquiring margin – estimated using survey data on MSCs
and public MIF rates
• MIT MIF computed reflects the cost savings (relative to cash) of an
average card transaction in our sample
14
15. Aggregation of merchant costs
• Calculation of average variable cost per transaction for payment
instrument j in scenario s for the purpose of calculating MIT MIF
•
𝑎𝑗𝑠 = 𝑤𝑖 ∗ 𝑎𝑖𝑗𝑠
253
𝑖=1 , where 𝑤𝑖 =
𝑁 𝑖,𝑐𝑎𝑟𝑑
𝑁 𝑖,𝑐𝑎𝑟𝑑
253
𝑖=1
• Calculation of average variable cost per value for payment
instrument j in scenario s for the purpose of calculating MIT MIF
𝑏𝑗𝑠 = 𝑘𝑖 ∗ 𝑏𝑖𝑗𝑠
253
𝑖=1 , where 𝑘𝑖 =
𝑉 𝑖,𝑐𝑎𝑟𝑑
𝑉 𝑖,𝑐𝑎𝑟𝑑
253
𝑖=1
15
17. MIT MIF
Marginal
cost of
CASH
Marginal cost
of CARD
Acquiring
margin
MIFMSC
Other costs
of cards
Other costs
of cards
Acquiring
margin
MIT MIF
Capped
marginal cost
of CARD
MIT
MSC
MIF
19. Results
• MCcash – MCcard (without acquiring margin) = MIT MSC
• MIT MIF = MIT MSC – acquiring margin
19
- 0.06%
DEBIT CREDIT
Scenario1 0.09% 0.13%
Scenario2 0.17% 0.21%
DEBIT CREDIT
0.02% 0.07%
0.11% 0.15%
MIT MSC - = MIT MIF
Acquiring
margin
20. Further information: Distribution of MIT MSC by
merchant card turnover
20
0
10
20
30
40
50
60
Distribution of debit MIT MSC
Debit card turnover
(Billion EUR)
21. Further information: Distribution of MIT MSC by
merchant card turnover
21
0
5
10
15
20
25
30
-5.00% -1.00% -0.50% -0.30% -0.20% -0.10% 0.00% 0.10% 0.20% 0.30% 0.50% 1.00% 5.00% 10.00%
Distribution of credit MIT MSC
Credit card turnover (Billion
EUR)
23. Limitations
Results only for the sample:
• Limited number of large merchants
• 10 countries
• Only face-to-face transactions
Acquiring margin approximated
23
24. Further analysis
• Assessment of the possibility to use econometric methods
to pin down the variable costs of different means of
payments
• Assessment of possibility to extend results to non-surveyed
merchant categories to increase representativeness (using
statistical inference)
• Further analysis of relationship between MIF and merchant
size and sector
• Further work on estimating acquiring margin
•
24