You will learn to:

  • Identify which statistical methods are most useful to marketers
  • Maximise the effectiveness of the data you hold
  • Use predictive modelling techniques and segmentation methods
  • Identify and interpret the key elements of your statistical output
  • Use the findings appropriately and effectively to inform future strategies

Details

Level
Advanced
Duration
2 days (14 CPD hours)

Privacy Notice:

To learn how we look after your data please see our privacy notice.

Course availability

Start Location Member Non-Member Places Left  
05/09/19 London (W1W 8SS) £955.00 £1,125.00 8
26/11/19 London (W1W 8SS) £955.00 £1,125.00 8

NB: Prices above subject to VAT

Course Information

Programme

Why data analysis is so important


This session sets the scene for the two days. It considers why intelligent use of data is an essential component in developing an understanding of customers, improving targeting strategies and developing the business.

  • Getting to understand the customer
  • The role of data and analytical teams within the organisation

Getting to know your data

The aim of this session is to introduce delegates to basic analytical tools for understanding data and the relationships between different types of information, including:

  • Data mining techniques – variable types, frequencies and descriptive statistics
  • Statistical tests of significance
  • Workshop session

Looking for key relationships within your data

  • Assessing the influence of key marketing variables upon each other. Includes comparison of means, contingency tables and correlations
  • Workshop session

Using modelling techniques to predict the future

  • How predictive modelling can be used to better understand campaign performance, and the practicalities of using predictive models
  • An introduction to predictive modelling using regression
  • Creating scorecards
  • Workshop session

Using segmentation methods to acknowledge differences amongst your customers

  • Background – why create segments?
  • Segmentation considerations
  • Descriptive vs. predictive

Descriptive segmentation techniques

  • An introduction to cluster analysis to create segments
  • Workshop session

Using segmentation to make predictions about future marketing performance

Bringing it all together

For the final session, delegates will work in small teams to address a practical case study, applying the knowledge gained throughout the course to produce an appropriate analytical strategy.

  • An introduction to the use of decision trees to create segments and inform future targeting
  • Workshop session

Who Should Attend

This course is designed for marketers wanting a better understanding of analytical techniques. This is the course for you if you need to work with statistical or data-related concepts as part of your role. Its mathematical content will require a reasonable level of numeracy.

Previous delegates include:

  • Marketing Analyst (SAGE Publications)
  • Senior Marketing Consultant (RBS Insurance)
  • Marketing Manager (Nationwide Building Society)

Enrol onto ‘Data Analytics for Marketers’ course and receive the ‘DMA Data Guide’. The guide has been devised by numerous marketing industry experts. It will help you understand how to do one-to-one marketing the right way.

Tutor

Mark Patron M IDM

Mark Patron M IDM is a digital marketing consultant and non-exec director. He has worked in data driven marketing for 30 years. Previously as CEO he grew RedEye to be one of the top two UK based email marketing automation businesses. Mark has been a director of over 50 UK, Continental and US data driven marketing companies. He was a co-founder of Transactis. Mark was part of the management team that developed the revenues of VNU’s marketing information business, now called Nielsen market research, from $150 million in 1994 to $2.5 billion by 2001. He co- founded and was Chairman of Abacus Europe. Over 14 years, mostly as MD, he built Claritas UK, now part of Acxiom, to £30 million revenues. Mark was voted one of UK’s 15 most influential direct marketers by readers of Precision Marketing magazine.

Huw Davis Hon F IDM , Founder and Chief Data Scientist, Nanomarketing UK and Singapore

Huw is a recognised leader in global data delivery and founder of Nanomarketing, an independent data strategy and analytical consultancy, launched in March 2007 and now with locations in London and Singapore.

In the past 30 years Huw’s career has taken him from the actuarial department of BUPA Health Insurance to a range of agencies and consultancies, especially following the buyout of his first company, Data by Design to Experian, in 1998. Huw has served as General Manager for Data and Consulting at OgilvyOne Worldwide, and then as Chairman of EHS Brann Discovery and Global Director of Data and Discovery for Euro RSCG 4D (now known as Havas Worldwide) for 6 years.

Huw is also a regular global conference speaker for both the IDM and DMA. Along with his Honorary Life Fellowship, Huw was named the IDM’s Educator of the Year in 2004 and was awarded Data Professional of the Year by his peers at the Data Strategy Awards in 2007.

Venue

London (W1W 8SS)

Testimonials

An insightful two days with a good mixture of presentations, guest speakers and exercises. I am looking forward to going back to the office and applying what I’ve learnt.

Sharon Slade
Database & Customer Insight Manager, Warner Leisure Hotels

I would highly recommend this course to anyone who needs guidance on how to move your market data forward

Jack Naylor
Administrator, Armitages

Very interesting course, giving me some good insight into the theory of data analysis and how it can be applied with some good case studies

Grant Baillie
Multi-channel CRM Manager, Argos

Professor Davis is very nice and open, and creates a great environment for everyone to ask questions. He clearly knows the subject matter very well.

Really enjoyed it and tutor kept it entertaining and informative. Lots of useful and immediately relevant information.

Fiona,
Karen Millan

We use cookies to help enhance your experience and improve the functionality of our website.
For more details and help to manage your cookie options read our Privacy & Cookies information.

Accept Close
Report a bug
X