Vertical Leap uses predictive analytics and intelligent automation to provide customers with the competitive edge, through large-scale analysis and needle-in-a-haystack insight.
Using sentiment analysis, attribution modelling, customer segmentation and bespoke models, we help you to make sense of your data, delivering evidence-based insights that provide answers to the critical questions that will keep your business growing and position you ahead of the competition in your marketplace.
The key to effective marketing is ensuring that your data sources are clean and correct – if not, this can lead to inaccurate reporting and actions. Getting the basics right, such as Google Analytics, will ensure that every campaign is trackable across every channel and conversions are correctly attributed across all areas of your marketing matrix.
We can work with you to get more insights from your existing data using proven data science and machine learning techniques. We can also help you visualise your data so that you can provide understanding upstream, downstream or to partners and customers.
We offer a wide range of data and analytics services, from Google Analytics through to more advanced visualisation and modelling. Whether you simply want to get your analytics in order, or create complex models to predict customer behaviour, we can help.
Click on the services to the right to find out more about each one.
Data science is the discipline of collecting and analysing data to extract valuable insights that can inform smarter decisions. This is a broad field that ranges from designing data models, developing algorithms, visualising data, gaining accurate insights and so much more.
For marketers, data science helps us to make smarter business and marketing decisions. This includes identifying new opportunities, testing strategies and campaigns, predicting new trends, and learning valuable lessons from both success and failure.
Data science takes the guesswork out of marketing helps ensure that every part of your budget is used in the most effective way.
Data science is a broad term for all scientific disciplines that revolve around data and this includes machine learning. Artificial intelligence (AI) is one of the many disciplines that fall under data science and machine learning (ML) is a subset of AI that involves training algorithms with large datasets to make decisions without human input.
Data analytics is another discipline within data science – one that refers to the analysis of data with the aim of extracting meaningful insights that can be used to draw conclusions or inform decisions. Data visualisation is a key part of analytics, allowing humans to “see” patterns that we could never spot in raw data.