Customer and Marketing Analytics for Business Growth

Customer and Marketing Analytics for Business Growth

Course schedule

Classroom Training:
DateVenueDurationPrice
8 - 12 Jun 2026London5 days£4,995
17 - 21 Aug 2026London5 days£4,995
2 - 6 Nov 2026London5 days£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.

Course Overview

Delegates gain practical knowledge of data analytics for customer engagement and marketing performance. The course covers segmentation, predictive modelling, and ROI analysis. Participants learn to apply analytics for targeted campaigns and retention strategies. The programme equips professionals to enhance revenue and marketing efficiency.

Who Should Attend

Marketing and business development professionals applying analytics to improve customer engagement and ROI. Past delegates have included:

  • Marketing Analysts
  • CRM Specialists
  • Digital Marketing Managers
  • Customer Insight Executives
  • Strategy Consultants

Course Outcomes

  • Apply customer data analytics to enhance marketing strategy and campaign effectiveness.
  • Use segmentation and predictive models to improve customer targeting and retention.
  • Leverage CRM and behavioural data to personalise customer experiences.
  • Integrate social media and digital metrics for holistic marketing insights.
  • Evaluate ROI from marketing analytics to inform strategic investment decisions.

Course Topics

Cyber Threat Intelligence and Data Analytics

  • Use analytics tools to detect, assess, and mitigate cyber threats.
  • Develop dashboards for monitoring real-time cybersecurity risks.
  • Leverage data visualisation to identify attack trends and vulnerabilities.
  • Integrate analytics with security information and event management (SIEM) systems.

Risk Analytics and Compliance Management

  • Apply data analytics in compliance monitoring and audit processes.
  • Quantify and visualise risk exposure across business units.
  • Use predictive analytics to forecast compliance gaps.
  • Develop data governance policies for regulatory adherence.

Foundations of Data Analytics

  • Understand the core principles, tools, and methodologies in analytics.
  • Explore data lifecycle stages from collection to insight generation.
  • Apply descriptive, diagnostic, and predictive analytics techniques.
  • Develop problem-solving approaches using statistical reasoning.

Data Visualisation and Communication

  • Transform data into meaningful and actionable visual insights.
  • Use dashboards and storytelling to communicate analytical outcomes.
  • Apply visual design principles to enhance understanding and engagement.
  • Leverage software tools like Power BI and Tableau for visual analytics.

Predictive Analytics and Forecasting

  • Develop predictive models using regression and time-series techniques.
  • Apply machine learning algorithms for accurate forecasting.
  • Interpret predictive results to support business decisions.
  • Integrate predictive analytics into enterprise planning systems.

Enquire About our Course

Please fill out all the fields below so we can provide the best support we can.

Your Details

Enquire About an Online Course

Please fill out all the fields below so we can provide the best support we can.

Your Details

Enquire About an In-House Course

Please fill out all the fields below so we can provide the best support we can.

Your Details

Apply below for this course

Please ensure all fields are filled out.

If for any reason you are struggling to submit this form please email us here so we can send you the relevent application forms to fill out.

Course Download

Please fill out all the fields below to download this course brochure.

Your Details