Predictive marketing has grown in maturity over the past couple of years, with many more organisations recognising the benefits of using data to predict how customers might behave in future.
Econsultancy’s ‘Embracing Predictive Marketing’ report, the third in this series, suggests that there has been significant progress made within organisations, largely due to a shift in attitude towards building a data-driven culture.
Companies spend a huge amount of time and money on customer acquisition.
And why shouldn’t they? After all, growing a business significantly is usually best accomplished by growing the number of people who pay for its products and services.
In ‘Start Me Up’ we feature new digital businesses, often in martech. This week it’s the turn of Metrical, a cart abandonment solution built on predictive analytics.
We caught up with Zabe Agha, the Founder & CEO, to ask a few questions.
It’s been a big year for data-driven marketing. Gone, mostly, are the dry aphorisms about ‘data as the new oil’, and in their place are marketers actually talking about data science.
The catalyst for this has arguably been the ‘AI summer’, but there’s much more to consider. Let’s ask the experts what 2018 will have in store…
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.
Predictive analytics or big data analytics is the process of taking a range of data sources and using algorithmic analysis to identify patterns in the data and predict future user behaviours.
In Econsultancy’s Predictive Analytics report, in association with RedEye, a model was proposed detailing three stages of analytics maturity.
Last month, Econsultancy published the Predictive Analytics Report, in association with RedEye.
We’ve rounded up some of the findings of the survey report in an old-school infographic.
Predictive analytics. What is it? What can it be used for in marketing? Is it easy to implement?
As the technology edges closer to maturity in digital, here’s an introduction to predictive analytics.
When PPC is as important as it is for Argos, understanding how external factors impact on conversion and spend is vital.
Argos’ paid search agency Summit won a Masters of Marketing award in 2015 for doing just that, optimising bidding for the retailer in reaction to competitor TV ads, weather and seasonality.
Let’s look at the what made this a winning campaign…
One of the best ways to determine what will happen in the future is to look at the past.
In today’s big data-driven world, we have the ability to access and use information on how customers are interacting with our websites and social media networks.
But if we’re capturing this information without knowing how to use it, it’s of no use.
Just as digital technologies have improved the array of customer data available to marketers, sale teams have also benefited from advances in analytics technology.
It’s now possible to get a detailed view of potential customers, their previous interactions with your company and what they’re interested in, before the sales team even make contact.