Personalisation & Privacy

AI and ML are transforming online entertainment gaming by delivering hyper-personalised experiences, predicting behaviour, and enhancing engagement.

The ability to track and attribute conversions to individual users is fading in today’s privacy-focused world. However, contrary to popular belief, this shift isn’t necessarily bad for advertisers or ad platforms.

AI has the potential to enhance or achieve strategic loyalty initiatives retailers have long sought—true one-to-one marketing and customer interactions, the genuine ability to influence purchasing decisions at the moment, and an effective lever for incremental spending.

While other industries are moving towards the super-app, banking and financial services are still struggling with the basics. How can product teams offer better CX to young customers? Martechvibe asked the experts.

Explore AI's transformative impact on customer journeys with insights from Kate Miller, EVP Strategy at Doceree. Learn how life science companies leverage AI for personalised HCP engagement, from segmentation to self-selection mechanisms.

Despite privacy concerns, customers are showing increased willingness to share their personal information in exchange for personalisation. What are brands doing wrong?

With the withdrawal of third party cookies, brands are looking into zero- and first-party data for timely, relevant and consented experiences.

AI and ML improve video OTT streaming, personalisation, and viewer experience. Learn how content recommendations, quality optimisation, predictive analytics, and personalised user interfaces enhance user engagement and retention for OTT platforms.

The average internet user spends 6 hours and 53 minutes online per day. The more time spent online, the more the data is exposed to cyber risks. To that, ZKP makes some exciting applications for marketers trying to win their customers’ trust.

Customers have made it clear that they want personalised recommendations. But are brands making the right efforts to allocate powerful resources towards understanding customer preferences?