eGaming Review January 2015 | Page 88

SPONSORED EDITORIAL / B E T T O R L O G I C FUTURE OF BETTING IS PERSONALISED ANDREW DAGNALL, CEO OF BETTORLOGIC, EXPLAINS THE IMPORTANCE OF ANALYSING CUSTOMER BETTING HISTORY TO OFFER A PERSONALISED BETTING EXPERIENCE ANDREW DAGNALL t CEO t BETTORLOGIC Andrew Dagnall is CEO of Bettorlogic, founder of StatsOnSport in 2004 which was rebranded as Bettorlogic in 2008. Andrew Dagnall is also CEO of Football Form Labs, which offers a range of B2C software products and manages a proprietary trading fund, Fidens, on behalf of investors. eGaming Review (eGR): How has Bettorlogic developed in 2014 and what challenges have you faced along the way? Andrew Dagnall (AD): We have seen a significant increase in the take-up of our services, which ranges from different territories. The take-up has been for both online and mobile so we have had to integrate into mobile more than we ever have previously. The reason for this is because sportsbooks are looking to engage with their customers much more than they used to historically. They have finally realised they have to provide services at different levels in order to attract and retain customers. I think one of the areas where we have noticed particular significance is in emerging markets such as Africa, where there has been a tremendous growth in sports betting, and this is an area where operators feel their customers need to be educated with information that supports the various markets that they offer. By using our information they can gain a better knowledge, of a particular football league for example, to help inform their betting. eGR: The idea of fully understanding your customer and their betting habits is at the core of what you do. How do you go about gathering this data? AD: Initially, we are given historical betting data by a sportsbook and at its most basic this contains about 10 pieces of transactional data. For example, it will tell us: the event being bet on; the market involved; the odds that were offered; the customers stake; the time the bet was placed; the type of bet, single or multiple etc; and whether it was a winning bet or not. From that data we can create a profile of that individual which has fairly broad parameters. We will know when they are most active, whether they favour specific sports and leagues within a sport, or even specific teams. We can also see how active they are generally and how they react when they are on a winning or losing streak. The more micro-managed detail we can achieve is matching that historical betting data 86 to the specific sports database that we have. For example, if you take horseracing we can see if there are specific types or races someone likes to bet on and whether they are backing horses that won their last race or were narrowly beaten, or perhaps were unlucky in their previous race, or even the type of race such as handicap or group race. We can even see how a player is affected by price movements. For football, on the other hand, we can see the triggers in-play that attract someone to bet. For instance, if they bet right after a goal has been scored or wait until 20 minutes to go. By creating these quite specific profiles, sportsbooks can target bettors with quite tailored information that they know a bettor will appreciate because it is going to fall within their sphere of interest. One of our clients sends out a weekly email aimed at specific groups of people and fed into that email is some of our bet prompts that are based on what a bettor’s personal betting habits are. Players very often fall into a category based on their betting habits. The real value to this is not only that it provides a level of personalisation, but it ultimately means that when I use my mobile or tablet what I’m presented with may well be very different to what someone else is presented with when it comes to their homepage and available links. eGR: How do you start to analyse and harness this information for your users? AD: At the moment, for a lot of sportsbooks the majority of their app or webpage homepage has no direct relevance to an individual customer, and as a consequence people will have to repeatedly navigate to their preferred field of betting when it could all be there for them on one page. A personalised homepage could show me the markets I am interested in, along with relevant information to inform my decisions. It may include live feeds of specific events I am interested in, and could potentially allow me to communicate with other bettors that have similar interests. That would be quite an important development for the betting industry W W W. E G R M A G A Z I N E . C O M