Die 5 besten Payment Gateways für E-Commerce-Unternehmen

When you operate an e-commerce business, you know you need to have a payment gateway that can process your transactions. Payment gateways are essentially credit card processors that both enable you to accept credit cards (and sometimes other forms of payment).

However, while they all basically do the same thing, not all payment gateways are built equally. There are a few important factors that you should consider when choosing one, including:

  • The speed at which transactions are processed
  • Integrations with your e-commerce/shopping cart software, as well as any backend business software
  • Flexibility in terms of payment methods and types of credit cards accepted
  • Ease of set up and management
  • Quality and availability of service and support
  • Fraud and return policies and proceedures.

Of course, no two businesses are exactly alike, and there are a lot of options out there. Based on our extensive experience in helping e-commerce businesses of all sizes and types, here are our five favorite payment gateways.

PayPal

One of the first digital payment systems, PayPal is certainly one of the most well-known and widely used gateways. According to the firm, more than 19 million online merchants rely on them around the world. More than just a payment processor, PayPal offers merchants a wide variety of tools to help them manage their business, such as being able to accept payments online and in-person, order processing software, business analytics, and even merchant lending options. Of course, one of the biggest advantages is name recognition, which ultimately comes down to the fact that PayPal is a highly trusted company.

Ingenico (formerly Payone)

Ingenico touts itself as a global leader in payment solutions. Founded more than 30 years ago, provides payment solutions that cover online, in-person, and on mobile, along with a variety of technology integrations and business analytics tools. They offer a wide variety of services that cover both software and point-of-service hardware, working with such varied industries such as retail, petrol, hospitality, transportation, and more. Their goal as a payment services provider is to create a “seamless” experience for multi-channel merchants.

Stripe

Launched in 2011, Stripe considers itself a next-generation payment processor, offering a number of services that enhance its payments platform. These include fraud prevention, data analytics, billing and invoicing, and a suite of tools designed specifically to help new online businesses get started. What’s more, they offer a robust platform for marketplaces, which enables businesses to process third-party transactions while also earning your business a share.

Heidelpay

Based in Germany, Heidelpay boasts the ability to accept and process more than 200 different payment methods. As such, the firm offers a global reach coupled with reduced costs thanks to its method of bundling of payments. They also offer payment automation (good for subscriptions) along with integrations with many of the top e-commerce platforms .

Klarna

Founded in 2005 in Sweeden, Klarna is less of a payment gateway and more like a digital mall. They offer an app that allows consumers to shop Klarna merchants, bundling their purchases into a single order/transaction or splitting it into four payments with no interest or fees. From a business perspective, Klarna pays merchants up front, so even if a buyer decides to pay later, the merchant still gets paid in full. Merchants can also integrate Klarna in their own website, using it as a “pay later” tool to attract more buyers.

As mentioned above, there are many payment processors and gateways available to merchants. Whether you’re just starting out or you’re looking to change processors, we can help you find one that best suits your needs. Contact us to discuss your business and how All.In Data can ensure your payment partner is a great fit.

Best regards,
Florian Horn

Gefällt Ihnen der Artikel?

Share on linkedin
Share on Linkdin
Share on xing
Share on XING
Share on twitter
Share on Twitter
Share on facebook
Share on Facebook
Ihre Daten werden gemäß unserer Datenschutzerklärung erhoben und verarbeitet.
Künstliche Intelligenz Partials
Data Analytics

Time Series Data Clustering Distance Measures

As ubiquitous as time series are, it is often of interest to identify clusters of similar time series in order to gain better insight into the structure of the available data. However, unsupervised learning from time series data has its own stumbling blocks. For this reason, the following article presents some helpful time series specific distance metrics and basic procedures to work successfully with time series data.

Weiterlesen »
Künstliche Intelligenz Parts
Künstliche Intelligenz

Unsupervised Skill Discovery in Deep Reinforcement Learning

Scientists from Google AI have published exciting research regarding unsupervised skill discovery in deep reinforcement learning. Essentially it will be possible to utilize unsupervised learning methods to learn model dynamics and promising skills in an unsupervised, model-free reinforcement learning enviroment, subsequently enabling to use model-based planning methods in model-free reinforcement learning setups.

Weiterlesen »