Casino marketing departments are getting in front of consumers quicker through artificial intelligence
Spawned by an always-on culture, digital access and lightning-fast Internet connections, trends move much more rapidly these days. Most iGaming marketing teams are familiar with the feeling of being caught off guard by a fast-rising trend in their market, especially as competition continues to increase, or even within their own data. However, artificial intelligence (AI) is making it easier for iGaming marketers to respond quickly to new trends, creating a better customer experience and getting in front of consumers before the competition.
AI and machine learning (ML) give iGaming marketers an edge when it comes to being more proactive. They may be better in terms of creativity, but algorithms are better at analyzing data. With a large set of data, algorithms can spot new opportunities before the marketers can. By embracing AI and these insights, iGaming marketers are able to send more timely communications, offers and specials to entice existing customers, as well as attract new ones. These personalized and timely offers and products invariably lead to better conversion rates and customer loyalty.
Consumer trends often grow over a specific period of time, whether it be a few days or weeks, or within a specific geographic location. They are accompanied by a combination of temporal and geographic data, especially when starting in one location and spreading to others. ML algorithms are able to identify these phenomena as soon as they develop, giving iGaming marketers the ability to immediately respond.
AI also gives iGaming operators a greater ability to retain users. An absence of data is data, as well. ML algorithms are highly proficient at spotting all types of patterns. When combined with other data points, including satisfaction surveys, service center contacts and others, this data provides strong warning signals that a customer could be considering abandoning the brand. AI gives the operator the ability to focus on retention without having to dedicate more resources.