analytics (adj.): using or skilled in using analysis (i.e., separating a whole--intellectual or substantial--into its elemental parts or basic principles)

One of the most important methods for understanding users (your clients) is to study their behavior and habits across your business.

In other words, learn what your users need, where they go to get it, make it readily available to them in an easy to use, intuitive format.

Ispy analytics track macro/micro data that can then be manipulated for analysis which, if used properly, should lead to the optimization of different aspects of a trade show. The goal is to improve the user experience while increasing both strategic conversions and ROI.

Trade show organizers are spending enormous efforts to engage buyers, whether it is through traditional marketing methods or through new media. These marketing goals almost dominates the entire spend for a trade show budget.

Ispy analytics analyses leading industries to increase trade show capabilities and boost relevancy and response in 2 ways:

1: Relevancy

We make sure you have a good source of  relevant data which includes information on all the recipients who are professionally relevant to your event and a clear understanding about who the sellers are and who the buyers in the supply chain are.

2: Recency

Trade show marketing activity usually reaches its climax when the event is approaching opening. Ispy analytics helps trade show organisers learn how to manage recency and create urgency. For a typical conversion campaign to boost online registration, think about how to motivate or reward the email recipients with the last-minute incentive such as the deadline of early bird, lucky draw, limited exclusivity like to sign up and get into the first 500 seats, etc. People always respond to recency and urgency. But they both won’t have effect when it’s pushed too early or too late.

Data forensics

Mystery visitors

Web critique

10 reasons to use ispy analytics

Exhibition research

Conference research

Seminar research

Benchmarking

FAQ

Comparisons

 

 

 

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