Advertisers will soon have the opportunity to serve their ads to specific television audiences, rather than broadcast nationwide to the masses. But not everyone is convinced by the effectiveness of addressable TV
Will hyper-personalisation shrink our echo chambers and interest bubbles? Will TV soon have personalised ads? Our Personalisation special report, published in The Times, explores the pros and cons of retailers using artificial intelligence to recommend products and outfits online and looks at how so-called "dark patterns" are manipulating consumers. Our featured infographic focuses on data-driven personalisation and how delivering custom experiences to individual consumers, based on their behaviours, requires both huge volumes of quality data and the right strategy to ensure success and return on investment.
Please register to download
Please register to download this report. Registration is 100% free and provides access to all the latest insight and analysis shaping business today.
In association with
In this report
Fashion experts debate the pros and cons of retailers using artificial intelligence to recommend products and outfits online
Consumers are still largely responsible for protecting themselves against deceptive methods designed to make them part with more money or data online
Building a 360-degree view of the customer will be key to the next phase of personalisation
An explosion of data means there is no excuse for brands not to use their information to start and sustain a two-way conversation with consumers. And those that keep it personal will reap the biggest rewards, says Gavin Laugenie, head of strategy and insight at dotdigital
Mike Harris, vice president and general manager, international, at retail personalisation specialists Bluecore, explains why a one-to-one direct-to-consumer (D2C) experience is what all retailers should be aspiring to
The power of audio and data-driven personalisation is enabling brands to add contextual awareness to ads, resulting in engaging campaigns with messaging that works harder