Fill events with pinpoint precision
Filling events are big business. Predicting who is prone to like an upcoming event is a key factor to successful marketing of time specific events worldwide. A discreet client project provides this service with pinpoint precision.
Challenge:
Deliver an audience with very specific demographic, political, and historical details to a place at a specific time. Create a solution that will be able to tailor the invitations, confirmation and passes of these participants into very specific audience profile targets.
Measure in real-time the progress and percentages of the current audience and automate as much a possible the steering of the confirmation into the targeted profiles.
Solution:
The solution needed a flexible user profile management framework, a scheduled events processor, and a robust back-end designed to scale rapidly.
Again we turned to the leading .net CMS solution DNN. In this case the challenge was design a user interface around how to build a very complex rule set for building groups of people.
For example : Audience of 1200, 30% are 20-25 males of any ethnicity
that have 1 or more years of college, that have participated in events x,y,z, 50% are 25-30 males with any education that meet the event criteria, and the remaining 20% are any gender that are simply between 20-30 yeas
of age.
Fuzzy logic is the term that came up in dialog a lot.
But behind all the fuzz a 'real' rule-set was needed to tailor the crowd effectively.
It is this 'event attendee selection process' that makes up the core logic of the solutions success. It is also a key reason that the client requests to remain unnamed and the solution fundamentals remain undisclosed.