Workshop

Leveraging Artificial Intelligence and Data Analytics in Public Relations and Media Planning Workshop

Leveraging Artificial Intelligence and Data Analytics in Public Relations and Media Planning Workshop

Course Category : Data Management

Develop advanced PR and media planning capabilities using AI and data analytics to understand audiences, anticipate trends, and strengthen evidence-based communication decisions.
Duration: 5 Days
Level: Advanced
Type: Workshop.

Starts On

15 - December - 2026

Ends On

19 - December - 2026

Location

United Kingdom (UK) - London

Language

English

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View Course Introductory PDF

Targeted Audience

Public Relations and Media Managers
Corporate and Strategic Communication Managers
Media Planning and Communication Campaign Professionals
Media Monitoring and Reputation Analysts
Content and Digital Communication Professionals
Audience and Stakeholder Analysis Teams
Leaders Overseeing Communication Strategies

Targeted Skills

Integrating AI into Communication Planning
Audience and Stakeholder Data Analysis
Media and Digital Monitoring Data Interpretation
Sentiment, Topic, and Trend Analysis
Predictive Analytics for Planning Support
PR and Media Performance Indicator Development
Evaluating the Reliability of AI-Supported Insights

Expected Outcomes

Explain the role of AI and data analytics in advancing PR and media planning.
Identify appropriate data sources for communication and media decisions.
Analyse audience characteristics, trends, and communication behaviours using data.
Apply sentiment, topic, and trend analysis to communication priorities.
Use predictive insights and scenarios to support media decisions.
Develop appropriate indicators for measuring communication plans and campaigns.
Evaluate the limitations and risks associated with AI-generated analytical outputs.

Training Topics Index

Evolution of PR and media planning in digital environments
Role of AI across the communication planning cycle
Media, digital, and organisational data sources
Transforming raw data into actionable communication intelligence
Data quality and limitations of automated analysis

Developing data-driven audience understanding
Analysing interests, behaviours, and communication engagement
Audience segmentation and priority-group identification
Stakeholder and influence-network analysis
Applying analytical insights to messages and channels

Analysing media coverage, presence, and reach
Sentiment and contextual analysis around organisations and issues
Identifying emerging topics and communication issues
Detecting trends and patterns across media channels
Connecting analytical findings with communication risks and opportunities

Principles of predictive analytics in PR and media
Interpreting early indicators of media change
Developing communication scenarios and assumptions
Using AI to compare alternatives and priorities
Prediction limitations, professional judgement, and human oversight

Developing PR and media performance indicators
Analysing reach, engagement, sentiment, and share of conversation
Aligning metrics with strategic communication objectives
Interpreting dashboards and analytical reports
Using performance insights to improve future plans and decisions