By Lydia GraflundPublished 31 July 2019
By now, it’s beyond doubt that what people want is a personalized web experience. Even though studies and research about this often focus on personalization in marketing, e-commerce, and fintech, there is no reason to believe that customers will not welcome a personalized sign-up flow — it’s just that no one else has made one yet.
At Regily we are enjoying ourselves with building advanced Machine Learning models to explore previously unexplored territory — how to make signing up a completely individualized experience. Our focus is slowly but steadily shifting from customization and personalization to hyper-personalization and ultimately: 100% individualization.
We’re past the era when AI and Machine Learning were buzzwords, a hype, and something to worry about with doomsday-like prophecies of how machines will take over our jobs (and the world, according to some more pessimistic theories). Machine Learning in its many forms is now a sheer necessity to succeed in today’s tech landscape. For us, that means ML needs to be fully embedded into our framework, as this allows us to meet customers’ increasing demands and expectations online.
Individualized sign-ups, how?
You probably ask in awe and excitement. I’m gonna pass the question on to someone who’s more qualified to answer that than me: our Head of Analytics, Natalia Lyarskaya. She says:
First, we need to know the users. That might sound obvious, but to really know them we need to understand how people behave online, and more specifically for us — how they behave while creating an online account.
Sounds cool, but can’t we just A/B test?
Well, traditional A/B testing isn’t really scalable. It takes time, human resources, and is limited in terms of how many tests you can run at the same time. Often A also wants some aspects of B, and before you know it you find yourself running tests throughout the whole alphabet.
"With predictive models, testing becomes more scalable, faster, and bigger as it’s possible to run hundreds of tests simultaneously. When it’s all built in a fully scalable and automated manner, we can keep our experimenting culture but learn much, much faster.”
We already offer personalized sign-ups in many aspects based on certain data points, and our rule-based models will tailor the signup journey to that specific user. Now, however, we are taking personalization one huge leap further, heavily relying on predictive modeling.
As of now, we are identifying segments of users and adapting the sign-up journey to that: a user in Sweden signing up from desktop will get a different experience than someone from Indonesia using iPhone. But there’s so much more than that we can do!
Imagine this: We know that a user is in Sweden and uses a stationary computer. What if we also know that she has a slow internet connection, lives in a rural area, is missing two keys on her keyboard and doesn’t have the latest version of Windows? Then we have the other person in Indonesia who has a brand new iPhone, he types really really fast but autocorrects a lot and he flips his device horizontally. These two will experience two very, very different sign-up journeys.
With smart architecture and tons and tons of behavioral data like the examples above, we can create advanced models that quickly analyse how people interact with a registration flow down to an extremely detailed level. Which in turn gives us everything we need to know to provide unique experiences for each individual.
It’s always a trade-off to provide the best personal experience without asking for too much data. People can be skeptical to share data about themselves and that’s why we strictly rely on behavioral data only — we do not store any personal data.
I imagine more than a few of you who read this are pretty tech-savvy so let’s dig a bit deeper. Machine Learning, predictive modeling, advanced architecture — it sounds very cool, but what does it mean in practice, really?
With predictive segmentation, we automatically cluster users which makes us able to identify other users with similar behavior and highlight the differences between them. Then we add on predictive models which in turn allows us to move from clustering to creating completely individual journeys. Again, back to Natalia:
One algorithm we love, collaborative filtering, helps our system learn from previous users’ similar behavior. A user with certain characteristics, say one who speaks German, lives in the US, and has an Android phone, gets a specific sign-up journey tailored to those characteristics. The system then tweaks the journey for the next user with the exact same characteristics. And so it goes, the system learns what works best and converts best, and continuously improves the accuracy of the algorithm.
The conclusion is pretty clear: Advanced Machine Learning is Alpha and Omega to create that sweet, sweet personalized online experience that we are all looking for.
Curious about how our tech can grow your sign-ups and increase your likeability? Go to regily.com and request a demo!
In an era of increasing regulatory scrutiny, businesses in the crypto and online gaming industry need to implement efficient Know Your Customer (KYC) and Anti-Money Laundering (AML) processes in their signup flows.Checkin
Expanding into a new market means dealing with complex KYC (Know Your Customer) and AML (Anti-Money Laundering) laws and implementing localised onboarding workflows, which can quickly become complicated. 9 out of 10 hard-earned users in the financial services industry never complete the registration process because of tedious flows. In fact, according to a Thomson Reuters report [https://d3kex6ty6anzzh.cloudfront.net/uploads/70/701ba3b81955f279e932e9443b0875adb3b6fc1f.pdf] , onboarding takes 3Insights
Compliance standards are designed to protect against financial crimes such as fraud, corruption, money laundering and terrorist funding. But just about every week, fines are slapped [https://www.theverge.com/2023/1/4/23538731/coinbase-fine-crypto-money-laundering-laws-new-york] on iGaming, FinTech, and crypto [https://checkin.com/industry-fintech/] companies for not meeting regulatory requirements. As compliance becomes more stringent, implementing the KYC verification process becomes more tiInsights
Introducing the Localized ID Verification Flow, a feature that enables users from different countries to enjoy a localized and simplified ID verification process!Product
Learn how the leading financial services company has implemented automatic customer identity verification and reduced the registration time down to 6 minutes. > “...While even more important we have been able to open up new countries as a result of our ability to successfully verify clients from countries where previously we did not have such an option.” – Andreas Ioannou, Head of Global Compliance at Admirals Case and History Admirals is the leading provider of financial solutions [https://chcase-study
In this article we’ll explore the main challenges for sign-up flows and how using professional solutions for user sign-up flow can benefit your business website or app.Insights
Read on to learn how the global processing company has implemented automatic customer identity verification and speeded up complex ID document checks [https://checkin.com/id-scanner/] by 20%. > "Automation is something we should all strive for. As the pace of life is accelerating, and as a company that provides a licensed product, we must speed up all verification processes as much as possible. Together with Checkin.com, we’ve been able to achieve that." -Jevgenijs Godunovs, Director, MLRO Cacase-study
Read on to find out how Checkin.com has helped the Dutch iGaming brand Betcity to automate customer ID Verification process [https://checkin.com/id-scanner/] and stay compliant with strict Dutch regulations [https://checkin.com/industry-igaming/netherlands/]. > "One of the main things that I value about Checkin.com is that they understand the iGaming world, and the needs that iGaming operators have. Checkin.com has provided us with a stable, quality, and flexible service that enables us to scase-study
This update is about a few major product areas we’ve been working on the framework.Product
A localized solution for Simple Casino in Japan Launched in September 2019, Simple Casino delivers a brilliantly simple, simply brilliant casino experience to Japanese players. From registration, through payment to playing, simplicity and ease of use lie at the heart of Simple Casino. Case and History Hero Gaming's brand Simple Casino planned to enter the Japanese market. They required a streamlined sign-up solution that was agile, robust, met the unique needs of their new target market and descase-study
In this update, I’m going to tell you about our focus areas within the product last month and what we were busy developing.Product
In this update, we are going to describe the role of localization and its effect on conversion rates of the sign-up flows. Localization doesn’t only mean the correct translations, it’s usually so much more, and when done right can bring great results.Product
Our big focus this month has been improving the services that relate to data verification and a new Regily Data Enrichment Gateway as a separate service!Product
OCR stands for “optical character recognition” and allows users to scan information from their identity documents instead of typing. It has widely spread as an identity verification method and many customers are already familiar with the experience.Product
Pop-up - is our current type of integration that allows partners to start using Regily’s flows with just a few lines of code. The reason for this simplicity is that it is front-end-only and it enables your sign-up to run without having to change the parent page.Product
We’re working on a new type of integration - Embed. It allows placing the sign-up on the parent page. An optical character recognition that allows users to scan information from their IDProduct
May 2020 product updatesProduct
iGaming brand Wunderino is using the solution from Regily with its Brand Protection partner Internet Vikings.Checkin
April 2020 product updatesProduct
Regily Remote increases affiliate conversion by allowing users to sign up directly from affiliate sites!Checkin
March 2020 product updatesProduct
February 2020 product updatesProduct
January 2020 product updatesProduct
December 2019 product updatesProduct
November 2019 product updatesProduct
October 2019 product updatesProduct
Interview with Forza Football CEO Patrik ArnessonProduct
September 2019 product updatesProduct
Forza Football is a web application platform for live scores, notices, lineups, polls, and video highlights, with highlights from more than 420 football leagues and cups worldwide. Forza Football's vision is to gather fans 'opinions and make fans' voices heard.Forza Football was seeing fewer conversion rates when they decided to build their own in-house sign-up form. They quickly realized that building sign-up forms was not their core strength and knew there had to be a better way to do it. LuckProduct
August 2019 product updatesProduct
How Forza Football increased Conversions by 500% Case and History Forza Football is a web application platform for live scores, notices, lineups, polls, and video highlights, with highlights from more than 420 football leagues and cups worldwide. Forza Football's vision is to gather fans 'opinions and make fans' voices heard. Forza Football was seeing fewer conversion rates when they decided to build their own in-house sign-up form. They quickly realized that building sign-up forms [https://ccase-study
July 2019 product updatesProduct
AI and Machine Learning are no longer hype! Machine Learning in its many forms is now a sheer necessity to succeed in today’s tech landscape. For us, that means ML needs to be fully embedded into our framework.Insights
June 2019 product updatesProduct
See our CEO and co-founder Kristoffer Cassel taking center stage at the Brilliant Minds Conference to share how a bad airport experience sparked the innovation of Checkin.com. (We were named Regily at the time)Checkin