RETHINK. PERFORMANCE

I guess that if I make the button red I will get more sales.

We don’t guess. We measure first, then we segment the data and thereafter we take action.

We provide data driven personalization to enhance revenue and enrich client experience.

WHAT WE DO

Digital Analytics

It all begins with GA (or Adobe Analytics if you are really cool). GA allows you to track and understand your customer's behavior, user experience, online content, device functionality and more.
That all sounds cool but in order to have Google Analytics and use it you need to deploy all this tracking through Google Tag Manager (or Tealium if you’re fancy).
Digital Optimisation

Conversion rate optimization (CRO) is the practice of increasing the percentage of users who perform a desired action on a website.
A/B testing demonstrates the efficacy of potential changes, enabling data-driven decisions and ensuring positive impacts.
Personalisation

There is not Personalisation without Data Science. You need to have some models in order to build a personalised experience. First step is to group clients (Segmentation) and show different experiences, then you will have a Recommendation model and use 1:1 personalisation.

Some of our work below

Demo to Live

We have a lot of Demo Accounts, but only 2% of them eventually transition to a Live Account, therefore we had to do something about this. We created a dedicated landing page for Demo Account users where we encourage them to convert to Live. We identify the Demo users immediately and rather then showing them a general homepage we show them the dedicated landing page. This page had a 20% conversion rate in Demo clients opening a Live account.

Approved not Funded

We have a script which runs in the background and we can target our Approved not Funded customers immediately once they come to the website. So rather then showing them the Homepage we have a dedicated landing page, which encourages them to proceed and fund.

Funded not Traded

Similar to Approve not Funded, the Funded not Traded is targeting users who did not trade. We encourage them to place a trade by having a dedicated landing page.

1:1 Personalisation

Upcoming: This will be the true 1:1 personalisation with a dedicated homepage for existing users upon return, based on the trades, funding amount, articles read etc..
We will be using a Recommendation script for achieving this.

Meet the team

Juliana Arantes

CRO ANALYST
Juliana is responsible for our CRO and Personalisation activities.
Andrei Spataru

PRINCIPAL DIGITAL ANALYST
10+ years experience in digital analytics including digital tracking implementation, conversion optimisation and personalisation.
Roshni Shah

SENIOR MEDIA ANALYST
Roshni supports the Marketing and specifically the acquisition team with Insights and data, keeping us focused on ROMI.

Core competencies

Google Analytics 360

Google Analytics 360 gives your business the tools you need to better understand your customers. You can then use those insights to take action such as improving your website, creating tailored audience lists and more.

AB Testing

A/B testing (also known as split testing or bucket testing) is a method of comparing two versions of a webpage or app against each other to determine which one performs better.

Google Analytics 4

One advantage of a Google Analytics 4 property is that you can use it for a website, an app, or both a website and app together. GA4 properties use a more flexible, event-based model which allows for more accurate reporting

Data-Driven Personalisation

Data-driven personalization is when you know enough about someone to deliver content to them at just the right moment. At its core, personalization is delivering value to someone at just the right moment.

Tag Management

Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track activity across your sites and apps, and the intuitive design lets you change

We speak: Python, R, SQL, CSS, HTML

Python is open source, interpreted, high level language and provides great approach for object-oriented programming. It is one of the best language used by data scientist for various data science projects.