Upload
webwinkelvakdag
View
944
Download
3
Embed Size (px)
DESCRIPTION
Magnus Fredin, President of Sales KlarnaWebwinkel Vakdagen 2012
Citation preview
Payments solved
2023-04-10 2
Fyra steg till en bättre betalprocess
2023-04-10 3
Invoice is..
2023-04-10 4
History of payments online
1949 1995 2008
Company facts
2023-04-10 5
• Market leader in Europe for invoicing solutions
• Turnover of EUR 80 million in 2011
• Profitable since first year
• 600 employees – 100% specialised on e-commerce/ payments
• More than 15,000 affiliated stores
• 6 Countries
Owners
2023-04-10 6
• Owned by the founders, Sequoia, Öresund and personnel
Michael MoritzEx-board- Google- YouTube- PayPal- Sequoia Capital
- Facebook- Privalia- Alibaba Group
- Facebook- Twitter- Spotify- 360BUY
Klaus HommelsAngel Investor:- Xing- QXL- Skype- Spotify- Facebook
DST GLOBAL
2023-04-10 7
How do you pay online?
0%
15%
29%
38%
46%
48%
55%
84%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Dont know
Cash on delivery
Paypal or other e-wallet
Manual money transfer beforedelivery
Single cheque (Eenmaligeincasso)
Creditcard
Per invoice (accept giro)
IDEAL
2023-04-10 8
Reason for not shopping online?
35%
7%
1%
8%
23%
26%
0% 5% 10% 15% 20% 25% 30% 35% 40%
Others.
Dont know
I don`t want to disclose personaldata online
I am worried about the safety ofthe online payment procedure.
I rather shop in normal stores
Befor buying, I want to hold theproduct in my hands\test it
2023-04-10 9
Consumer
• Safe
• Simple
• Fast
Merchant
What is payments all about?
2023-04-10 10
Are we there?
2023-04-10 11
Nelly.NL
2023-04-10 12
Product page
2023-04-10 13
Checkout
2023-04-10 14
Checkout
2023-04-10 15
Pay with card
2023-04-10 16
2023-04-10 17
Pay by card
Buy now!
Card number is saved
Press order now!
2023-04-10 22
Customer
Merchant
Credit scoring
E-wallets
Tech Standard brand
Payment gateways
Fraud prevention
Acquirer
Issuing bank
Pay
men
t S
tack
2023-04-10 23
How about risk?
• Assess the risk of transactions based on minimum amount of data
• Continuously reduce the amount of data we demand from the users
• Collect behavioral data of users
• Shops 3 o clock during the day VS. 3 o clock at night
• First generation – based on scoring companies
• Second generation – decision trees
• Third generation – internal behavior scoring
• Fourth generation – machine learning, continuously adapting to changes
• Maximize acceptance rates
2023-04-10 24
ZERO FRICTION VISION
2023-04-10 25
Buying should be like this:
2023-04-10 26
2023-04-10 27
Paying should be like this:
2023-04-10 28
2023-04-10 29
VS
Choose Invoice !
2023-04-10 32
2023-04-10 33
2023-04-10 34
2023-04-10 35
The world´s easiest mobile checkout!
Press BUY!
2023-04-10 36
Press BUY!
2023-04-10 37
Back to store!
Address!
Bedankt!