8/31/2023 0 Comments Popular linkedin backgrounds![]() ![]() With AI technology, you can analyze and understand customer preferences, behavior, and demographics. Far too many employee hours have been spent on data entry, fixing costly errors, switching between multiple systems, and dealing with customer churn - all leading to low productivity.ĪI can help provide the most value for brands who choose to advertise on your platform – keeping them happy and ultimately encouraging them to invest in it more. 1 revenue source should still be a priority.įor the most part, the advertising sales lifecycle has been highly manual for content owners. Rejuvenate advertising revenueĪdvertising may be on the decline, but it’s not going away. ![]() Get articles selected just for you, in your inbox ![]() Here’s a look at how AI can help optimize the three main revenue streams for media companies. Using your trusted data can help AI technology boost your revenue strategy, and is a critical path forward in a murky future. This includes the shows they watch, the podcasts they consume, or what content they’re clicking on or subscribing to, just to name a few data points, and it’s only getting better.ĭata quality and implementing AI are top priorities for media company decision makers, our trends report says. Think about it - you have a clear view of your customers through the data they generate. Your AI efforts are only as good as the data they draw from, and media companies do data well. There’s a big reason why AI is a no brainer for a media company’s revenue, and that’s data. AI can help media companies diversify their revenue - without hefty investments. The key is getting the most from the revenue streams you already have, while also looking at new ways to grow advertising. Among them are subscriptions, content licensing and rights management, live experiences, and commerce, to name a few. We found that media companies are finding other avenues to gain revenue, as advertising budgets shift. ![]()
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