Geo-location improvements & new localization features

By Marcus Bengtsson Published December 30, 2019
hero post

It's hard to believe that 2019 almost already is over!

Over the past 12 months we've created a new framework to break new ground for AI-driven personalization, added dozens of improvements to increase overall conversion rates and grown our team of conversion specialists.

We could not have done any of this without you, so a huge thanks to all of you who joined our journey towards better and more enjoyable sign-ups!

Hope you'll have a wonderful upcoming holiday, and that you'll go easy on the Glögg!

Regily Dedicate

We're happy to hear that Regily Dedicate was much appreciated by the partners that managed to get a spot. The Regily Dedicate concept, ensuring 20 hours of dedicated work per week for the partner, enables specific requests to be met each month - leading to much more being done.

Live test of Flowbrain up and running 🏃‍♀️

We have successfully run traffic through the automated system, and the first results are being analyzed. We can't share anything yet, but the conversion team tells us that early numbers look promising - so stay tuned! As written in the previous update, each flow in Flowbrain is personalised for the end user based on behavioural data. Focus now is on developing an extensive library of high converting modules for automated learning and testing, in order to enable an endless set of personalized flows catering the end users different behaviours.

Focus is on building high converting modules 🔊

We have built two modules, one focusing on dark mode being a setting on the end users' device, and the other one has human readable questions for each data set we collect.  These are two of many different ways to get information from the users completing a flow, and Flowbrain configures the flow in real time to get the most optimal one for the end consumer.

Product updates 💡

Testing address improvements using geolocation

We're running A/B-tests to measure which method of collecting address with help of geo-location is the best way to help the user type their address.

Full address

This version eases the process for entering address. It utilises the user's geolocation to suggest address based on current location.Full address is being pre-filled with possibility for the user to confirm location with one click only. If suggested address is incorrect, users can continue flow with standard address flow, which is market specific.

Street address & postcode

Improvements of address flow by suggesting street address and postcode based on users geolocation. Suggested postcodes are being presented below input field for postcodes on postcode screen. Suggested street addresses are listed on top of the list of addresses. User confirm postcode or street address with one click only.

Localization updates for South America & India

We constantly add new markets to the framework, and lately we have been focusing on market localization in South America and India. If you have any specific requests on markets you want to enter (we probably have most of them already), we're happy to help!

Mexico 🇲🇽 & Brazil 🇧🇷

Based on local research, we have enabled support for address lookups in Mexico and Brazil, where users in most cases are only asked to enter postcode and house number. For users don’t remembering their post code, it will be automatically set in callbacks (reverse lookup), based on other address details. This improves address quality and decreases cognitive load for the user, leading to a higher likeability of them completing the flow.

Argentina 🇦🇷  

Product has enabled support for address lookups in Argentina, where we provide an one-line-address solution. Suggestions are shown while user is typing and takes users geolocation into account.This reduces the cognitive load for the user and decreases the risk of user entering incorrect addresses.

India 🇮🇳

To make it easier for the user to enter address as well as minimise the risk for entering a faulty address, we've improved support in the Indian market when manually entering address. When users manually enters the address, we use a new API to set state and division based on pin code. If users don’t remember the pin code, pin code is set without users input, based on state and district entered (reverse lookup). The list of districts are filtered from the entered state.

Hope you enjoyed the read, feel free to reach out if you have any questions, feedback or input - we're always happy to help!

More news and updates

ENGLISH
Insights

Protect minors properly: Picking an age verification system

The internet is filled with age-sensitive content. From alcohol vendors and gambling sites to violent content and adult chat rooms, there are a lot of unsuitable places for young people. Despite the risks, lots of websites still use weak age verification systems like self-reporting. These systems are easy to bypass. This puts kids at risk […]

ENGLISH
Insights

Trends in age verification laws in the EU: How to stay ahead

“Are you over 18?” Yup. It’s that easy for kids to lie about their ages when faced with a self-declaration form. Ticking a box won’t protect your business. And it won’t protect the kids using your platform. EU regulators know it, too. That’s why they’re cracking down.  From the Digital Services Act to national age verification (AV) laws, […]

ENGLISH
Insights

Mastering biometric KYC: A complete guide

Imagine unlocking your phone.  You could type in a PIN. It’s a simple digital process that’s effective and fast.  But, you could also use Face ID. It’s faster, more intuitive, and almost impossible to hack. That’s the promise of biometric Know Your Customer (KYC). Convenience meets security and accuracy. Unlike traditional KYC methods, biometric verification […]

ENGLISH
Insights

How automated KYC solutions shield you from evolving fraud

Fraud is on the rise. And it costs businesses billions every year. KYC solutions exist to try and identify and prevent fraud. The problem is that conventional KYC procedures aren’t effective enough at catching complex cases. They take too long, they’re prone to human error, and they can’t spot new fraud tactics quickly enough. It’s […]

ENGLISH
Insights

Deepfake detection software: The key to fraud-free KYC

Deepfake technology is infiltrating businesses at an alarming rate.  Malicious actors use AI-generated videos and images to simulate real people, creating false identities that bypass traditional KYC checks. This puts your business at risk of financial crime, identity fraud, and non-compliance.  This is where AI-powered deepfake detection software can upgrade your KYC mechanisms. Let’s look […]

ENGLISH
Insights

7 foolproof ways to speed up your KYC onboarding process

KYC onboarding driven by manual processing is riddled with bottlenecks. Errors and inefficiencies slow down processing times, leaving customers frustrated. But it doesn’t need to be this way.  With the right strategies and tools, you can streamline KYC onboarding. Think automated document verification and AI-driven risk assessment. Just imagine how much these tools speed up […]

ENGLISH
Insights

KYC in casinos: Faster KYC, more players, fewer drop-offs

Players are ditching online casinos with slow, clunky KYC processes.  Outdated, paperwork-heavy KYC verification systems frustrate new sign-ups and drive loyal players away. This doesn’t just damage your brand’s reputation: It harms your bottom line.  But how do you improve onboarding to streamline the player experience while still staying compliant with strict gambling regulations in […]

ENGLISH
Insights

ID scanning technology: 9 powerful business use cases

ID scanning technology is no longer reserved simply for onboarding and KYC.  It’s transforming how businesses verify identities across all kinds of business operations. From securing financial transactions to account recovery, ID scanning technology offers fast, accurate ID verification to improve security and enhance the user experience. Let’s dive into the benefits of ID scanning […]

arrow-left arrow-right