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About Placesign

Placesign Studio Neon

Opportunity

There is a wealth of real-time information provided by IoT devices that can provide marketing intelligence to businesses to help them increase their revenue based on knowledge of customer behavior.

Real-time information is shaping the way customers make purchasing decisions. Wait times, dynamic pricing, employees onsite, and open/close status influence our daily decisions. Companies are employing data scientists to analyze IoT data to influence customer behavior that results in increasing revenue.

Placesign is an “IoT Intelligence Platform” that collects, converts, optimizes and analyzes data for making business decisions based on customer behavior

The Problem

Most IoT deployments today solve operational problems and are not designed for capturing, analyzing and providing digital marketing information.

  • IoT networks are not built for performance and volume of customer traffic.
  • They are not integrated with a content marketing solution.
  • They have no or limited place identity management.
  • There is no technology standard to facilitate IoT data distribution.

The Solution

The Placesign “IoT Intelligence Platform”

  • Collects and normalizes real-time IoT data into a standard protocol and creates unique datasets by integrating
    • Location data
    • Other relevant 3rd party data (wait time, weather, traffic)
    • Converting users into identified customers
    • Creating identities for things, people and places
  • Provides unique data sets to partners to perform analytics.
  • The resulting data enables many types of applications, decisions, and analytics that increase revenue.
Placesign Studio Neon

Business Intelligence

Placesign will power the next generation Business Intelligence applications

  • Real-Time Customer Engagement - Providing accurate real-time gas prices.
  • Real-Time Conversion of user impressions into customers - Enable customer to add themselves to the restaurant wait list.
  • Customer Intelligence - Adding real-time customer demographics to restaurants.
  • Dynamic Pricing - Lowering price on excess perishable capacity.
  • Other use cases
    • Conversion Optimization
    • Price Elasticity
    • Demand Day Parting
    • Supply Chain Management
    • Site Analysis
    • Opportunity Cost
    • Customer Cloning