Visa Market Share - 52.6%
Amex Market Share - 19.6%
Visa Revenue 2022 - $29.3 B
Amex Revenue 2022 - $50.6 B
What is the secret of American Express?
Instead it ties up with a card network e.g. Visa/MasterCard. Any merchant that has Visa as a network service provider can accept payments from a Visa card.
There are 3 steps - Authorization, authentication and settlement.
1) Cardholder uses their credit card to pay a merchant
2) Merchant shares card details with acquiring bank
3) Acquiring bank forwards these details to the card network
4) Network sends a request to the issuing bank to authorise the payment.
5) Issuer validates the details, available limit, and if everything matches, it approves the transaction
6) Network sends the confirmation to the acquirer who in turn sends confirmation to the merchant
7) Customer gets a receipt to confirm the payment
8) At the end of the day, merchant sends all transactions details to the acquiring bank
9) Acquiring bank asks network to settle the transactions
10) Network sends payment request to the issuing bank
12) Card network takes a cut and transfers funds to acquiring bank
13) Acquiring bank transfers funds to merchant - merchant discount rate (MDR).
Visa is like a toll collector where it charges a fee for transferring funds, similar to how we pay toll for using roads which is used for maintaining the roads.
As we saw, the biggest cut goes to the issuer and that is Amex’s secret. American Express issues its own cards to customers. It acts as an issuing bank as well as the card network.
Visa/Mastercard work on an open loop system - they don’t issue their own cards.
- discount fees from merchants
- interest income
- annual card fees
- other fees (default penalties/forex/rewards)
Have a look at Visa’s revenue sources.
How does it earn so much from merchants?
Amex’s whole main strategy revolves around getting customers to spend on its cards.
My previous thread on how credit card companies make money. https://t.co/4E7ulft2US
How does a credit card company make money?
— anshul gupta (@anshgupta64) May 29, 2022
Most of us know how credit cards work but very few of us know how credit card companies make money and their business model. pic.twitter.com/IXyTqn5pva
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He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...
... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:
Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.
Tweet: https://t.co/36FnYnsRT9
Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."
I wonder why...
Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x
Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.
Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq
He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...
... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:
Ivor Cummins BE (Chem) is a former R&D Manager at HP (sourcre: https://t.co/Wbf5scf7gn), turned Content Creator/Podcast Host/YouTube personality. (Call it what you will.)
— Steve (@braidedmanga) November 17, 2020
Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.
Tweet: https://t.co/36FnYnsRT9
Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."
I wonder why...
Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x
Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.
Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq
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Risks of bat-borne zoonotic diseases in Western Asia
Duration: 24/10/2018-23 /10/2019
Funding: $71,500
@dgaytandzhieva
https://t.co/680CdD8uug
2. Bat Virus Database
Access to the database is limited only to those scientists participating in our ‘Bats and Coronaviruses’ project
Our intention is to eventually open up this database to the larger scientific community
https://t.co/mPn7b9HM48
3. EcoHealth Alliance & DTRA Asking for Trouble
One Health research project focused on characterizing bat diversity, bat coronavirus diversity and the risk of bat-borne zoonotic disease emergence in the region.
https://t.co/u6aUeWBGEN
4. Phelps, Olival, Epstein, Karesh - EcoHealth/DTRA
5, Methods and Expected Outcomes
(Unexpected Outcome = New Coronavirus Pandemic)
Risks of bat-borne zoonotic diseases in Western Asia
Duration: 24/10/2018-23 /10/2019
Funding: $71,500
@dgaytandzhieva
https://t.co/680CdD8uug
2. Bat Virus Database
Access to the database is limited only to those scientists participating in our ‘Bats and Coronaviruses’ project
Our intention is to eventually open up this database to the larger scientific community
https://t.co/mPn7b9HM48
3. EcoHealth Alliance & DTRA Asking for Trouble
One Health research project focused on characterizing bat diversity, bat coronavirus diversity and the risk of bat-borne zoonotic disease emergence in the region.
https://t.co/u6aUeWBGEN
4. Phelps, Olival, Epstein, Karesh - EcoHealth/DTRA
5, Methods and Expected Outcomes
(Unexpected Outcome = New Coronavirus Pandemic)