Betalkonferensen Klarna

Betalkonferensen med Klarna

Klarna bjuder in till kostnadsfri konferens under mässan ECOMMERCE STHLM 2017.

Varmt välkommen att delta på en spännande konferens för dig som vill veta mer om betallösningar tillsammans med Klarna. Obs! Anmälan krävs och konferensen är helt kostnadsfri. Seminarierna är på svenska.

Dag Börjar Slutar
11 Maj 2017 10:00 12:30


Anton Hellkvist welcomes and goes through agenda.



Payments trends

Tanya joined the product department of Klarna in 2015. She has been working with Klarna's payment method strategy and the development of new payment products. Now Tanya works in Klarnas commercial organisation where she is in charge global payment partnerships (acquirers, banks, processors, card schemes, networks, wallets and alternative payment methods).

Previously, Tanya worked as a Product Manager in the Fintech and E-commerce industry, and within Rocket Internet GmbH one of the world’s leading venture capital groups and start-up incubators (behind e.g. Zalando Group, Home24, Groupon, E-bay Europe, etc.), she also focused on Payments. Tanya has a Master (L.L.M) in International Law from the University of New South Wales in Sydney. She studied Law & Economics at LUISS Guido Carli in Italy and has a a Bachelor Degree in Law form the University of Copenhagen



Will we now move from Mobile First to Mobile Only?

Fredrik is the co-founder and CMO of the Swedish marketplace Fyndiq. The company has been live for 6,5 years, and is the leading marketplace in Sweden with 2 000 active merchants, 1,6 million unique customers, and a turn over of 340 MSEK.

Fredrik Norberg, Co-founder & CMO, Fyndiq




Samare jarf

Personalised Check Out 

In this talk, I will give an overview of the Personalizing Checkout problem and an introduction of the machine learning approach we currently use at Klarna. 

With Klarna's fast growing user base and the constant evolvement of new payment methods the Klarna checkout offering is constantly growing. With additional choices comes additional preferences. Without information about the user we have to resort to sorting the payment options based on popularity. However, we can do better. 

By mining customer data and training a machine learning model to predict payment preference for each purchase, we have built a model that personalizes the order of presented payment options and as a result achieves higher customer satisfaction and conversion. 

Samare Jarf

björn widerström

Klarna In Store 

Partner responsible for Klarna’s in store solutions, Björn Widerström, will talk about how Klarna has transposed the unparallelled user experience online to physical stores. 

Björn Widerström, Nordic Senior Partner Manager


Panel debate - How will payments effect future revenue


Wrap up