Post-event analysis is a crucial step to measure the success and impact of your live events. It can also help you identify areas of improvement and potential cost savings for your future events. In this article, we will share some of the most effective ways to use post-event analysis for cost savings, based on the best practices of event professionals.
Before you start analyzing your event data, it's essential to have a clear idea of what you want to achieve and how you will measure it. Your goals and metrics should be in line with your event strategy and objectives, and reflect the value you deliver to attendees, sponsors, and partners. Common goals and metrics for cost savings include return on investment (ROI), cost per attendee (CPA), cost per lead (CPL), and cost per acquisition (CPA). ROI measures the ratio of your event revenue to your event expenses, CPA evaluates the average amount of money spent on each attendee, CPL gauges the average amount of money spent on each qualified lead from your event, and CPA calculates the average amount of money spent on each new customer acquired from your event.
When the curtain falls, the real show begins – analysing goals and metrics. I've found that defining these upfront not only guides your performance but becomes the compass for impactful cost savings. ??
Identifier les co?ts excessifs et examiner les dépenses et les co?ts associés à l’activité et ou l’événement. Il est important de passer en revue toutes les dépenses
The next step is to collect and organize your data from various sources, such as your event registration platform, your event app, your event feedback surveys, your social media channels, your CRM system, and your analytics tools. You need to ensure that your data is accurate, complete, and consistent, and that you can easily access and analyze it. You can use tools like spreadsheets, dashboards, or reports to organize your data and visualize your key metrics. You can also segment your data by different categories, such as attendee type, event session, event location, etc., to get more insights and comparisons.
Data is the backstage pass to event insights. I've been backstage many times, and trust me, meticulous data collection and organization lay the foundation for pinpointing areas where costs can take a bow. ??
Once you have your data ready, you can start analyzing and interpreting it to understand how your event performed and how it contributed to your cost savings. Various methods and techniques can be used to analyze your data, such as descriptive analysis to summarize and describe the data with statistics, charts, or tables, comparative analysis to compare and contrast the data across different segments, time periods, or benchmarks, trend analysis to identify and explain patterns and changes in the data over time, correlation analysis to measure and test the relationship between two or more variables in the data, and causal analysis to determine and prove the cause and effect of one variable on another.
Data isn't just numbers; it's the storyteller of your event. Dive into the narrative, interpret the plot twists, and you'll uncover the golden nuggets that lead to smarter savings. ??
En identifiant ce qui a bien fonctionné et ce qui peut être amélioré il est alors possible d’optimiser les budgets futurs et donc réaliser des économies
The final step is to identify and implement action items based on your data analysis and interpretation. These actionable recommendations should help you improve event performance and achieve cost savings goals. Examples include eliminating or reducing unnecessary expenses, optimizing contracts with vendors, suppliers, or partners, streamlining or automating event processes, enhancing or innovating content, format, or delivery, and expanding or diversifying event revenue streams. Post-event analysis for cost savings can make live events more efficient, effective, and profitable. It also enables you to learn from successes and failures in order to continuously improve your event strategy and execution.
En tenant compte des erreurs et des inefficacités on peut améliorer par exemple le planification des événements grace aux analyses réalisées