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Our 2016 Measurement and Analytics survey is in the field and you can take part yourself to receive a free copy of the ensuing report.
Last year, the survey found that fully two-thirds of client respondents have no formally documented analytics strategy.
These marketers are no doubt still attempting to optimise their marketing spend in an ad hoc fashion, so what needs to change?
I’m not trying to teach anyone how to suck eggs here. Perish the thought.
But let’s face it: some of you probably just smile and nod when somebody starts going on about the merits of ‘second-party data’.
Sure, everyone knows what these terms mean in principle, but in this post I’m going to break down three key types of data – first-party, second-party and third-party – and explain what they all mean, where the different data sets come from and the pros and cons of each.
More data is not necessarily a good thing.
It needs to be actionable, providing marketers with insight. If it's not, then perhaps now is the time to invest in new technology.
It was International Women’s Day this week, so you probably think I’m going to take an inspiring quote from a woman and replace part of it with ‘the weekly Econsultancy digital marketing stats round-up’ because that’s basically the only joke I’ve got.
Attention spans are evolving, and by that I mean they’re shrinking.
Halfway through writing that sentence my phone dinged and I saw a tweet pop up that looked quite interesting.
15 minutes of internet rabbit hole-diving later and I remembered I was supposed to be writing a sentence.
I’m not alone in this, and one of the talks at our Creative Programmatic event last week that particularly interested me was from Innovid’s Tal Chalozin, who was there to discuss how video advertisers can cater for the modern-day online attention span.
Some people seem slightly alarmed by the rise of automation in marketing.
Is it the first step towards all of us being replaced by robots that will eventually enslave humankind and force us to oil their joints until the end of time?
While that might have been a lame attempt at a joke, it is actually very relevant to the Creative Programmatic event I attended yesterday, which was all about how this largely automated channel needn’t spell the end of human creativity in marketing.
The General Data Protection Regulation (GDPR) – an EU-wide overhaul of consumer data laws aimed at strengthening the protection of people’s data privacy – was announced at the tail end of 2015.
The new laws won’t be finalised until later this year, and won’t take effect for another two years after that.
But in a talk I attended at Data Protection 2016 on Friday, two leading government figures did their best to tell the audience what to expect and explain why the reform is happening.
On Friday I attended a talk at Data Protection 2016 that was all about – you guessed it – data, but specifically how businesses can continue to thrive in the ever-evolving data economy.
The talk from Ctrl-Shift CEO Liz Brandt covered five key action points that business and government need to tackle together in order to avert a future crisis.
I’m going to cover them in detail in this post.
It still surprises me that audience engagement remains overlooked as a key metric for campaign success, because focusing on engagement helps align all players in the market and satisfies both marketer goals and consumer needs.
Why is that? Well, for advertisers, having pricing options that are tied to consumer engagement rather than impressions ensures that we're only paying for ads that are seen and engaged with.
Sounds like a buzzword, but actually makes a lot of sense. Data visualization is the art of presenting often complex datasets in a visually engaging way.
The hope is that presenting data in this way will make it more engaging and easier to understand, so it’s particularly helpful in terms of speaking to clients or internal stakeholders.
With this in mind, I’ve brought together 14 of my favourite data visualization examples from across the web.
In November dozens of senior brand marketers met in Singapore for a full-day discussion of the issues that we're all facing as we drive digital change.
As with every Digital Cream event, the Chatham House Rule applied, so what was said cannot be attributed to any individual.
Retailers are collecting more data than ever, but putting that data to good use is apparently proving to be more challenging than many anticipated.
According to a study conducted by IHL Group for DynamicAction, retailers around the world lost well over half a trillion dollars in the past year due to out-of-stock inventory.
That's a jump of nearly 40% from 2012. At the same time, they lost just under $500bn due to overstocks, an amount nearly a third greater than in 2012.