Posts in Data & Analytics

URL vs social media tracking

Why marketers are failing to track 87% of their content shares

Although most brands confine their analysis of social sharing to share buttons and email newsletter tracking, our latest experiment shows that 87% of all shares are made through copy-and-paste direct from the address bar.

Unfortunately, there hasn’t been an easy way to track this data, until now.

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An introduction to customer research (a 3,000-word guide)

Whether you work in marketing, sales, product or even finance, getting out to speak with your customers is invaluable.

Regardless of if you work in a multinational FMCG company, the financial sector, a not-for-profit or a start-up, the customer is the most important stakeholder in every decision your business makes, so talking to a few of them seems like a pretty smart idea.

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Five companies using robots and AI to make a difference

We’re constantly hearing about the downsides of artificial intelligence. 

According to PwC, 30% of UK jobs are potentially under threat from breakthroughs in AI, while 38% of US jobs have a ‘high risk’ of being entirely wiped out by 2030.

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eprivacy

Focus on GDPR, but ignore e-Privacy at your peril

With so much noise surrounding the General Data Protection Regulation (GDPR), the equally impactful e-Privacy regulation seems to have been forgotten about.

It might only be a draft regulation at the moment, but it is due to be enacted in May 2018. So, what is this regulation and why do marketers need to pay careful heed to its contents? 

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GDPR for marketers: Five examples of 'Legitimate Interests'

You probably found this blog post because you know what the General Data Protection Regulation (GDPR) is, and are concerned about its impact on your day-to-day work as a marketer.

When the GDPR comes into effect on 25 May 2018, marketers in the EU (or serving people in the EU) will need to be better aware of the privacy rights for individuals and the lawful grounds for processing their personal data.

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Analytics approaches every marketer should know #4: Prescriptive analytics

One of the vast, underexplored opportunities of digital marketing is that, with the right data, marketing performance can be improved automatically in ways which marketers cannot foresee.

To make this happen, though, marketers need to use analytics, specifically prescriptive analytics, which we discuss in our fourth and final post in the series.

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A day in the life of... Pre-Sales Technical Manager at RedEye

Steve McGrath is Presales Technical Manager at RedEye, a martech company that provides customer data platforms, marketing automation and conversion rate optimisation to global ecommerce brands.

What does a typical day look like for Steve?

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What is digital transformation? [video]

My brother Joe asked to interview me about digital transformation for his 'Digital Brew' series. The guests get to choose between tea/coffee or beer. I went with beer. 

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Analytics approaches every marketer should know #3: Predictive analytics

According to many of today's advocates for data-driven organisations, predictive analytics sounds the most exciting. It apparently lets us 'predict the future using data from the past'.

While being able to see the future sounds great, the reality of predictive analytics is a bit more mundane. It does, however, still have the potential to make real business impact in the present.

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How should non-EU businesses prepare for the GDPR?

On 14 April 2016 something big happened in the European Parliament that will have wide-reaching implications for marketers and businesses across the world. For those in the know here in APAC,  this ‘thing’ is a source of deep concern.

A recent survey by Veritas indicates 90% of businesses in Singapore are concerned and of those businesses 20% believe it may result in business failure.

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Analytics approaches every marketer should know #2: Diagnostic analytics

In the first post in our series on analytics, we discussed descriptive analytics which you can use to keep others informed about what has happened.

The next step on your analytics journey is to discover why something has happened, and for that you need diagnostic analytics. Here's an overview of the practices including an example, a step-by-step guide and some best practices.

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mail

GDPR: Six examples of privacy notice UX that may need improvement

The General Data Protection Regulation (GDPR) is set to change the rights of data subjects (i.e. people), and ergo how companies process and store data, and how they communicate with data subjects at the point of consent and beyond.

So far on the Econsultancy blog, we've concentrated on picking out examples of best practice UX for 'opt-ins' and privacy notices. But as much as we can point out good practice, it's often easier to spot those that look like they may be on shaky ground. I thought it would be useful to round up some examples to see what our readers think. 

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