March 19, 2024
Can you please present us the company and explain us your added value within the iGaming industry?
Apricot specializes in the provision of predictive analytic solutions to optimize business decisions and boost their revenues. The solutions on offer are related to; acquisition monitoring – here we identify the quality in the traffic source, the possible growth opportunities and optimization requirements, all possible by the way we develop lifetime value and identify anomalies.
We also conduct CRM segmentation expertise by investigating all vital stages in the player’s lifetime cycle to optimize retention and lifetime value. This includes but not limited to bad luck experience, potential to become VIP, game preference, deposit and withdrawal patterns, multi-accounts, and responsible gaming.
We help many partners with early Bonus seeker identification – since the difference between a bonus abuser and a VIP player is slight, we start by monitoring the first days of the player life cycle. This is a model that investigates betting patterns, such as bet size and type of games, in addition to the bonus percentage and source details, allowing us to demonstrate significant distinction between the two.
Last but not least we assist iGaming start-ups on building a realistic and achievable Dynamic business plan – we provide a complete income and cost plan that allows businesses to examine several future scenarios with a favorable ROI. The plan includes operational costs, tax, and any other company expenses.
So, what type of companies are your customers?
Nowadays, every company understands the importance of being data driven. Since Apricot provides data analysis solutions, any type of digital company can be our potential customer. Our professional background and network are very iGaming oriented, this is why our clientele portfolio varies from casino and sportsbook platform providers, casino brand owners to affiliate and media agencies, as well as startups with online applications.
What are the main challenges that your customers are facing?
From a business aspect, the gaming industry is very competitive, and usually, a player has more than one active account. The big challenge is to identify the legitimate players and make them continue to play within your brand rather than move to others. When it comes to acquisition, especially in regulated markets, it takes time to know if the revenues meet the costs but being able to predict future income will allow companies to increase traffic with low risk.
From a technical aspect, the gaming industry surely produces a massive amount of data, thus being able to analyze it correctly and automatically to get quick business answers is vital.
For us to know Apricot better, can you tell us about your specialties?
Both Liora, and I, are machine learning experts with master’s degrees in statistics and many years of experience in the gaming industry working with various kinds of business owners. Our significant advantage is understanding the business needs and match a suitable data solution based on the needs identified. Our work is our passion, and there are two particular things we thrive in; assisting start-ups to grow through data analytics and helping bigger companies to fulfill the potential of their database.
What role can AI play in the gaming industry?
AI helps us analyze and build prediction models faster and more accurately. It’s essential to stay up to date on new tools and algorithms. All this helps us maintain an advantageous position within such a challenging industry.
Last but not least, why Apricot 😊?
If all our previous answers have not convinced you yet, here is some more food for thought 😊 Building a predictive model solution with Apricot; allows our customers to understand how the model works and ensures that it makes sense, enabling access to a dedicated algorithm that matches precisely the business needs, without requiring additional software integrations. We also provide ongoing validation that the model works on the business’s future data whilst providing also the flexibility to make changes in the data structure because then the customer owns the code. Last but not least, it usually costs less than buying an automated one from an external company.
