Data-driven attribution accounts for the importance of every touchpoint a prospect goes through before converting, and can significantly increase your marketing ROI. In this article, we explain how it works and how you can develop your own.
Post archives for George Karapalidis
George has worked in eCommerce and digital marketing across many industries. Before joining Vertical Leap, he was the Marketing Director for his own company, creating and optimising websites for companies all over Europe. He has a passionate interest in data analytics, data science and machine learning.
In this short blog, we explain what data science is in the simplest of terms, plus list some practical examples of how it can help marketers supercharge their marketing efforts.
Understanding your customers’ journey is key to optimising conversions and sales. In part one of this series, we look at the pros and cons of the 6 main attribution models to help you decide which is best for your business.
It’s no longer enough to rely on standard SEO techniques. If you want to get the edge, you need to use advanced data science techniques to unearth hidden opportunities. In this article, we explain a four-step framework to help you do this.
A quick and simple explanation of what machine learning is with working examples of how marketers can use this technology to improve their marketing.
Many marketers might think AI is beyond their reach but this isn’t the case, as we showcase in these four examples of how companies are using it right now.
we take a look at the role recommender systems are playing when it comes to offering a much more personalised and powerful eCommerce experience to your website users.
What are predictive and prescriptive analytics in marketing? In this third chapter, we explain what you can achieve with a mature big data analytics setup.
This article moves us on to the more thrilling part – learning how to ask the right questions (using data science) and receive the best answers (using data analytics).
You know that data science is your strongest bet for remaining competitive. But where do you begin when that data of yours is well… big? Our team is here with some answers.
Identifying important social media cues, trends and signals now requires extensive analytics capabilities. So how do you stop the incoming data flood and transform it into a steady stream of distilled insights? By applying science to the most pressing problems at hand.
Data science – it’s the talk of the town for certain. Do you need to invest in data science Here are five signs indicating that it may be time to do so.
SMBs have one major advantage that large corporations cannot replicate – agility. Team training, adoption of new tools and organisational changes can occur faster with less friction.
To understand the performance of a website and identify areas ripe for improvement, we created a model based on intent, called the Buyer Intent Model.
Data visualisation helps us make sense of difficult concepts. Marketers can benefit from transferring data from spreadsheets to visual canvases, as we illustrate in this post.
Big data is a marketer’s goldmine, able to pinpoint and understand target audiences with an accuracy and level of detail unimaginable less than a decade ago.
This field of computer science has developed new methods to “teach” the machines. Instead of programming the instructions, you can teach an algorithm to learn directly from experience or from examples presented in the form of data.
It’s now officially Spring (well, by the meteorological calendar anyway) so let’s take a look at what’s new in the world of search marketing this month. We’re talking about a new targeting feature in Google AdWords, a new style carousel advert, star ratings and 404 pages. New targeting feature in Google AdWords Marketers can already customise ads […]