DATA ANALYTICS
With something as variable as digital marketing and its many different approaches, analysing your audience and what they’re responding to is critical to altering your strategy and making real progress. This is where data analytics comes in. Data analytics gathers information on just about anything, and translates this into real insights which power your digital marketing efforts, to reach your goals faster.
Here, you’ll find all of our insights on data analytics to help you analyse audience data and the success of your digital marketing efforts. Familiarise yourself with the basics, or browse our glossary of most-used terms on this subject.
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A Breakdown Of DATA ANALYTICS Jargon
Data
Data in this context refers to information about audience behaviour, user actions on your website, demographic information and customer lists, amongst many other types.
Big data
Massive amounts of data that can provide powerful insights but require advanced database software to capture and interpret.
Data integrity
The quality of gathered data, which is determined by how reliable, complete, valid and accurate it is.
Descriptive analytics
Analysing data from historical case studies to gain insights that can help in future plans.
Diagnostic analytics
Using data to explain the results of a particular situation, which can be used to generate advanced insights.
Predictive modelling
Predicting the results of an action using data previously obtained from a relevant or relatable case.
Business intelligence
Analysing and interpreting data, to make data-driven business decisions.
Bounce rate
The proportion of visitors that visit your landing page (or any page that they first arrive at) and leave without visiting another page or browsing further.
Conversion rate
The proportion of visitors that complete the action you want them to take after viewing a particular section on your website.
Data strategy
The strategy to acquire the specific data pieces your business needs and the role that data will have in reaching your goals.
Comparative analysis
Comparing multiple data sets to identify patterns that can provide business insights.
Algorithm
A statistical process or formula used to evaluate and analyse data sets.
Database
A digital collection of data sets for organisation and safe storage.
Database Management System (DBMS)
A software tool that allows users organised access to their database.
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