Data science for marketers (part 3): Predictive vs prescriptive analytics
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.
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Post archives for George Karapalidis
George is an SEO Specialist and Data Scientist in the Portsmouth office. He has worked in E-Commerce and Digital Marketing across many industries, for and with companies all over Europe. Before joining Vertical Leap, George worked as Marketing Director for his own company, for which he managed to expand the company’s activities to 5 European countries. George has been creating websites for more than 10 years and he has in depth experience in designing and bringing optimised E-Commerce websites to market.
Data science for marketers (part 2): Descriptive v diagnostic analytics
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).
Data science for marketers (part 1): Getting your data ready
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.
Three ways to apply data science to your social media
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.
5 signs you should invest in data science
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.
How SMBs can use machine learning to kick ass
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.
How to build a buyer intent model with keyword classification
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.
Four ways data visualisation can help marketers
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.
Three great examples of data science in marketing
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.
The marketer’s three minute guide to machine learning
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.
Search marketing news and what it means for marketers – March 17
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 […]