First announced in July 2018, Google Signals is the name given to the Google product that enables cross-device reporting and remarketing. Enabling Google Signals allows you to take advantage of new and improved advertising and reporting features across different devices.
Data journalism, or data storytelling, means telling your story with charts, graphs or diagrams, enabling your reader to view the data that forms the story.
If you invest some time in research and planning to gather data insights, you can then add design flair to your content to tell stories in an engaging, visually appealing way.
It is perhaps possible to predict the winner of the World Cup based on data alone. We decided to give it a go, but only on a small scale. Come and play with the data to do your own analysis.
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 science allows you to extract practical knowledge from data at your disposal. Knowing where your customers want to go next, what kind of experiences they prefer and what prices they are ready to pay are just a few things achievable through strategic data analysis.
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.
Conventional data visualisation methods such as pie charts or bar charts are great to visualise a quick stat or two but when you are dealing with larger amounts of scattered data, you need a bolder solution.
Vertical Leap analysed the impressions and clicks of millions of search queries across almost 200 websites to compile stats for the top 50 positions, which you can see here.
Data science is the practice of revealing hidden insight from existing data in a manner that enables businesses to make better decisions. Intelligent decisions are based on accurate predictions.
The challenge for marketers today is in overcoming the mysticism that surrounds machine learning and AI, to understand what it might mean to them.
It is easy to overlook the importance of data visualisation. Data on its own is pretty useless until you format it in a way that reveals actionable insights
What should you do when you are an online flower retailer, but aren’t sure where to spend your marketing budget? How machine learning gave the answer.
Predictive analytics turns your existing data into a roadmap of future user actions. By modelling user behaviour against a range of influences that impact buying decisions, you can use predictive analytics to understand when people are most likely to buy.
Before you know it, you’re suffering from data overload and decision fatigue – a far cry from the “informed decisions” you were originally promised.
Big data is getting bigger every year, we interview Vertical Leap’s Henry Carless on his role as data scientist in the Vertical Leap PPC department.
During the next few years, marketing is going to experience severe disruption that will result in greater market share for larger companies, leaving SMBs to fight for a decreasing share of highly niche verticals. This disruption will force all businesses to drastically rethink how they approach marketing, but the effect won’t be limited to in-house […]
In the age of information and connectivity, it is important to use data to monitor users online behaviour and send highly targeted marketing messages.
Marketing automation won’t take jobs, it’ll make them more interesting and creative. It will liberate professionals from boring and repetitive tasks.
