Search trend data is a valuable asset for fashion brands.
Not only does it help marketers target customers at the right time, but it can also support offline efforts to optimise the entire user journey.
Marketers face the challenge of a constantly changing media landscape.
According to a recent study by McKinsey & Company the number of digital touchpoints is increasing by 20% annually and consumer activity is shifting rapidly to these new digital channels.
In last week’s stats roundup, I reported how more companies than ever are investing their budgets in Facebook dark posts.
But wait just a moment – what exactly are dark posts?
The changing nature of the travel industry has been a hot topic at this year’s Web Summit.
Gillian Tans, the CEO of Booking.com, particularly emphasised how increased mobile usage is driving this change.
Content marketing as we know it has reached its peak, and things are about to change.
The quality of content being created is at its highest, but the syndication and effectiveness of the content has become the most bottlenecked area due to the vast amount of it.
In new research, Econsultancy has discovered startling ways modern marketing is failing at what should be its top priority: Recognizing customers as individuals across devices and media.
It began with a premise that won’t startle many data-weary marketers - that despite the assurances of the vendor community, achieving true customer recognition isn’t easy and isn’t happening for many companies.
Can Snapchat become more user-centric and provide more opportunities for marketers in its flagship product at the same time?
That is certainly the ambition with the photo sharing app’s new product changes.
At Facebook’s F8 conference earlier this year, Mark Zuckerberg said “(Instant messaging) is going to be the next big platform for helping you connect with all kinds of services in new ways”.
When you bear in mind this is a man who spent the best part of $22bn buying WhatsApp, you can be pretty sure he’s going to be right.
But where is instant messaging heading and what does this mean for marketers?
The effort needed to create marketing automation rules are causing B2B organisations to lose time, money and new business.
It’s time to use predictive machine learning instead.
Thanks to adtech and big data, marketers have more ways than ever to target consumers in digital channels.
But Twitter is taking targeting to a whole new level with the announcement that it is letting advertisers reach out to consumers based on the emojis they use.
According to researchers at Stanford, highly targeted ads may not be all they’re cracked up to be.
Based on a mathematical model they built based on game theory, the researchers instead suggest that advertisers “prefer to remain in a state of partial willful ignorance so as to preserve communication credibility.”