Shake Things up With an Exciting Live Segment Showing Up-To-The Minute, Real-time Data on Holiday Sales!
November 28, 2014 – The Thanksgiving/Black Friday shopping phenomenon is more than just which stores are open on Thanksgiving and which stores have lines out the door. It’s a crucial time of year when we really get to test the pulse of the buying public, get an indicator on the state of the economy and shed some light on what to expect for the coming year.
That’s why data mined from these infamous shopping days are so critical to retailers and economy watchers. For consumers it’s a matter of when or what to buy. For big business, it’s a matter of how consumers are buying. Enter IBM’s Digital Analytics Benchmark, currently the only resource for delivering real-time shopping trends through their cutting edge cloud analytics platform.
IBM’s smarter commerce strategist, Hannah Egan, is available to discuss the latest, up-to-the-minute information and give viewers real time insight into the annual Black Friday shopping phenomenon.
The Benchmark analyzes the following metrics:
– – Overall online sales – including overall sales for any given moment, as well as average order value, items per order and peak shopping times
– – Mobile traffic and sales – including overall mobile commerce sales, traffic by device, tablet traffic by device, and phone vs. tablet statistics
– – Social traffic –including information on online sales generated by shoppers referred from Social Networks, i.e. Facebook vs. Pinterest
– – Overall sales for vertical industries – including department stores, health and beauty, home goods and apparel
About the Talent: Hannah Egan is a smarter commerce strategist. She supports the market and business analysis functions for IBM’s customer engagement software solutions. In this role, she is responsible for market segment analysis, customer insight and product innovation research.
This interview is sponsored by IBM
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