Exhibition stands have long been used to demonstrate a business’ expertise and showcase its products and services. The design and planning of such stands has developed vastly across the last decade or so – with big shows boasting large and tech-heavy stands with in-person interactive experiences and eye-catching aesthetics to gain attention of attendees.
While the largest stands in any show may well stand out amongst those smaller, it is possible to create an impressive exhibition space without an unlimited budget or particularly vast square footage. AI, now a mainstream concept, is influencing and reshaping the process of stand design in a way we’ve never seen before, but with it comes some interesting insights and challenges that could well transform your brand’s event experience.
The use of AI allows businesses to make the best possible informed decisions on how to show up to events and what to do at them. The insights derived from AI’s data can help increase better footfall, engagement, and lead quality; ultimately reducing risk, improving ROI, and personalizing experiences for attendees.
What Data can be used in Exhibition Stand Planning?
While there may be concerns about increasing AI usage, the unarguable benefit of it is the sheer amount of data which can be analysed by it. From this data, businesses can derive insights and intelligence to benefit their stand presence. This may include:
- Historical event data – such as footfall, dwell time, peak visitor periods
- Audience data – job roles, industries, buying intent
- Behavioural data – how attendees move and interact with stands
- CRM and sales data – to target buyer personas and understand the most appropriate audience segmentation
- Digital data – monitoring website traffic ahead of events, email engagement, social media engagement, registrations of interest.
This data, alongside anything relevant internally from the business, can help provide exhibitors with a clearer picture of what truly drives success, and help stand designers understand engagement peak points to incorporate into their creations.
How can AI Improve the Stand Design Process?
The precision that data provided by AI can bring used to be a purely manual process on the behalf of exhibition stand designers – reading through and taking into account historical event information and behavioural insights to design a stand’s layout to meet these needs as best possible. Now, however, stand designers are able to access recommendations for optimal layouts taking into account visibility of key elements, accessibility and the flow of visitors. Heatmapping tech can help identify the most effective placement for product displays, demo zones, and meeting areas, ensuring high-value interactions happen in the right spaces.
When combined with the expertise of specialist stand designers like the studio at DCE Agency, the result is an event space providing the best possible visitor experience, influencing attendees in a way that supports the business’ aims and values, and creating a strategically optimised environment that doesn’t just look good: it delivers on objectives, too.
Audience Targeting and Experience Personalisation
While a one-size-fits-all experience may have been sufficient to make an impression at trade shows in years gone by, today’s events are better placed to target exactly to attendees and their intended interests and/or behaviours.
With predictive analytics identifying high-value attendees based on role, industry, and behaviour, exhibitors are able to tailor messaging and experiences accordingly in a way never seen before. Personalisation can take many forms, from dynamic digital displays that adapt content in real time to customised demos aligned with visitor interests.
Furthermore, AI systems can support more comprehensive pre-event marketing. Brands are more easily able to target their desired audiences with appropriate content ahead of the event even commencing. This can lead to meaningful conversations on the stand, higher-quality leads, and stronger connections between brands and their most relevant prospects – giving a distinct advantage to the business long before the show even opens its doors!
Real-Time Insights during Events
AI can also be utilized during events for real-time insights into attendees and their behaviours. Real-time data analysis allows exhibitors to monitor footfall, engagement levels, and visitor movement. Such AI tools can highlight which areas of a stand are performing well and which are being overlooked, enabling quick adjustments to staffing, messaging, or layout to maximise on the intelligence gained and optimise the user experience being delivered. For example, staff can be deployed elsewhere in the venue to high-traffic zones to approach prospects or digital content can be changed up to attract attention.
In dynamically changing the brand’s stand conditions to the audience rather than making assumptions, the business is afforded the best possible opportunity to maximise their time and resources spent at the event.
AI in Exhibition Stand Design: The Next Steps
If you’ve yet to make the leap into using AI to help shape your brand’s event presence, now is the perfect time to try it out.
The initial step taken by most organizations looking to optimise their stand presence at events is simply to collect more data at the events they’re already attending. Combine your own information with any data supplied by the event organizers, and run this through an appropriate AI tool to optimize.
Then, when you approach stand designers, provide them with as much info as possible; on this event, your previous events, your previous stands, and your objectives. This data can be used in conjunction with the studio’s own insights to create a branded event presence that’s smartly optimised and ready to deliver your goals.
Most importantly, treat every exhibition as a learning opportunity. By reviewing results, testing new ideas, and refining your approach, you can build smarter, more effective exhibition stands over time.
Unsure where to start or simply want to learn more? DCE Agency have got you. Call John (john@dceagency.com) on +447595 895836 to chat!
