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Predictive Analytics

  • Simon names Mona Benisi director of sustainability

    Indianapolis — Simon Property Group has named Mona Benisi director of sustainability. Benisi’s responsibilities will include advancing and leading all aspects of Simon’s sustainability strategy. That strategy includes recycling, water management and renewable energy programs.

    Benisi will also lead the company’s sustainability task force, direct and manage measurement and reporting of critical sustainability metrics, including CDP, the Global Real Estate Sustainability Benchmark and GRI.

  • BIA/Kelsey: U.S. social media ad revenues to hit $15 billion by 2018

    Chantilly, Va. -- Social media advertising revenues in the United States will grow from $5.1 billion in 2013 to $15 billion in 2018, for a compound annual growth rate (CAGR) of 24%, according to BIA/Kelsey’s latest U.S. Social Local Media Forecast. This year represents the greatest year-over-year jump in social media ad revenues, growing to $8.4 billion in 2014, largely due to increases in mobile and native advertising.

  • Reflexis partners with IBM on Watson-based task management

    Dedham, Mass. – Reflexis Systems Inc. is developing an application made with IBM Watson called Reflexis StorePulse that will issue alerts and tasks to regional and local store managers, based on local event and weather information, among other data, to plan their locations accordingly. The application is aimed at helping to maximize sales by ensuring each store has its finger on the local pulse.

  • Pinterest takes Promoted Pins to next level

    Back in September, Pinterest unveiled plans to experiment with Promoted Pins. Now, the social media site is working with a small group of brands in the U.S. to roll out a paid test in its search and category feeds.

    “These brands will help us test Promoted Pins to make sure they’re tasteful, transparent, relevant and improved based on your feedback,” said product manager Julie Black, adding, “so that Pinterest continues to be a great experience for everyone.”

  • Technomic, CHD Expert unveil Easy2Find tool

    Chicago - Easy2Find is a new online analytics tool designed to simplify food industry research and intelligence at the unit level. It is a joint service offering that joins foodservice data analytics provider CHD Expert and research and consulting firm Technomic.

    Easy2Find lets chains see and understand a restaurant's footprint in any given geographic market and restaurant segment. It is designed to allow users to find where competitors are opening new unit locations and how they impact sales, helping to uncover market expansion potential.

  • Survey: One-third of consumers don't know their loyalty tier status

    New York -- Nearly one-third (32%) of United States and Canadian consumers can’t identify which tier they belong to in their favorite loyalty rewards programs, according to a study recently released by Colloquy.

    Colloquy's research reveals that the familiar gold, silver and bronze tiering system no longer works. The study shows the three-tiered structure is outdated as a way for brands to keep their customers engaged — sometimes creating confusion rather than inspiring loyalty.

  • Five Lessons Learned from the Winter of 2013-2014

    By Evan Gold, VP of client services, Planalytics

    The winter of 2014 brought record cold and snow throughout North America and its impact on business and consumer spending were widespread and significant. How impactful was it? Well, for the S&P 500 companies, the word “weather” was mentioned in almost 200 earnings calls from January through March, which is a 81% increase compared to last year.

  • DirectBuy, eInfochips collaborate on BI application

    Merrillville, Ind. – Consumer buying club franchisor DrectBuy and eInfochips are collaborating for a business intelligence (BI) collaboration solution that integrates data from warehouse clubs and the DirectBuy e-commerce portal. The solution drives consumer behavior with an enhanced shopping experience, and also enables analytics for data-driven decision making.

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