Event analytics and intelligence convert the data generated by an event into insight that improves future decisions. Most events generate more information than they use — registration data, attendance figures, audience feedback, engagement metrics, and media reach. Event analytics organises that data into a coherent picture of what happened, what worked, and what to improve.
M&M Group’s analytics service is designed for organisations that want to move beyond output reporting and build a genuine measurement framework for their event programmes. This page covers what event analytics involves, the types of intelligence it generates, and how the service works.
What this service delivers
Post-event reporting, measurement framework design, and intelligence-led recommendations — structured to give event owners a clear view of performance, audience impact, and programme optimisation opportunities.
What this service covers
Event analytics at M&M Group spans data capture, analysis, reporting, and recommendations across the event lifecycle.
- Post-event performance reporting
- Audience satisfaction and feedback analysis
- Attendance and registration data analysis
- ROI and value measurement frameworks
- Media and social reach analysis
- Comparative benchmarking across event series
- Insight reporting for stakeholders and sponsors
- Recommendations for future programme improvement
Events we deliver
Typical analytics engagements
M&M Group’s analytics service is applied across a range of event types and programme structures.
- Corporate event programmes requiring board-level reporting
- Government events with public impact measurement requirements
- Brand activations requiring consumer engagement metrics
- Multi-event series where benchmarking is required
- Conferences with delegate satisfaction reporting obligations
- Sponsor and partner events requiring reach and impact data
How the service works
Event analytics follows a structured measurement and reporting process.
- Framework design — Define what will be measured, how, and at what points.
- Data capture — Collect data during and immediately after the event.
- Analysis — Process and analyse data against the defined framework.
- Insight development — Identify patterns, performance gaps, and opportunities.
- Reporting — Produce structured reports for the relevant stakeholders.
- Recommendations — Provide actionable guidance for the next event or programme cycle.