3D Sensors are changing the world as we know it. Today you can play your videogames (with Microsoft Kinect), control your television, give a presentation or try on new clothes without touching anything.
3D sensors are one of the new technologies that allow us to interact with the world in a new, unobtrusive and immersive way. You can understand the possibilities. It’s being used in Market Research, Advertising and Promotions, but in the near future will be everywhere. We will have it in our tablets, cellphones, cars, cleaning robots and classrooms.
We will explore the technology, today’s usages and the future that we envision in order to understand how the context that 3D sensor technology provides can help us to gain insights about what happens in front of you.
Finally, we will showcase a real life application: Shopperception.
Shopperception uses 3D Sensors to provide brick-and-mortar retailers with an amazingly advanced system for understanding precisely and in real-time just what shoppers do in front of a retail shelf. It is primarily a next-generation shopper analytics tool, replacing the former guy with a clipboard and a clicker. It provides retailers with far deeper and more meaningful information than was previously pragmatic or even possible.
4. WEB ANALYTICS: THE REVOLUTION
FACEBOOK YOUTUBE
YOU CAN'T MANAGE WHAT YOU DON'T MEASURE
5. HOW CAN WE CAPTURE THE SAME LEVEL OF
INFORMATION IN REAL LIFE?: 3D SENSORS
6. SHOPPERCEPTION: GOOGLE ANALYTICS FOR THE SHELVES
SHOPPERCEPTION USES 3D SENSORS TO
GENERATE ANALYTICS AND ENGAGEMENT
EVENTS ON SHOPPER’S ACTIVITIES IN FRONT
OF THE SHELF FOR THE RETAIL INDUSTRY.
7. 3D SENSORS IN THE BRICK AND MORTAR
SHOPPER TRACKING AND DETECTION
8. 3D SENSORS: ADVANTAGES FOR MARKETING RESEARCH
MULTIPLE SHOPPERS TRACKING AT THE SAME TIME.
AVOID SUBJECTIVITY IN THE STUDY. REAL DATA, REAL
RESULTS.
FULL AUTOMATIC 24 X 365 OPERATION. NO HUMAN
INTERACTION. FULLY AUTOMATED INFORMATION GATHERING.
CONFIDENTIALITY AND SIMPLICITY: THERE IS NO PERSONAL DATA
EXPOSED. IT REGISTERS SHOPPER AND SHELF ACTIVITY WITHOUT
ANY NEED OF INTRUSIVE ELEMENTS (EX. GLASSES FOR EYE
TRACKING OR RFID TAGS).
NEW PERFORMANCE METRICS => NEW BUSINESS OPPORTUNITIES
10. 3D SENSORS: DETAILED SHOPPER ANALYTICS
It’s possible to have all the shoppers’ events information with high
LEVEL 2 level of detail. Technology provides CSV format files, where all the
data is included. You can use that data into your business
DATA RAW intelligence systems or data mining tools.
contact@shopperception.com
11. 3D SENSORS: DETAILED SHOPPER ANALYTICS
LEVEL 3 The last level of information that can be provided is a photo of every
shopper and their interactions with the shelf. You can use those photos
as source data for new analysis, post processing them and attaching
AUDIT AND POST
PROCESS PICTURES new demographics attributes and categories to each shopper.
12. CASE STUDY 1
1 Month - 2 Stores – 227K Visits – 8K Shoppers
Main insights identified:
- Mothers were making the purchase decisions
Shopper Picture Analysis)
- Children in almost every case chose sugary products
(Products PickUp Rate)
- Mothers very often substituted products selected by kids
with cheaper option
(Return Rate, Conversion Rate)
Additional insights:
-Campaign in progress was increasing traffic not conversions
(Visits / ConversionRate)
13. CASE STUDY 2
1 Week – 1 Store – 38K Visits – 2K Shoppers
Main insights identified:
- Most beer shoppers do evaluate options when
in front of the gondola
(Avg. Time in Zone Near the shelf)
- Lacking options to evaluate at the
cooler, conversion rate was much higher
(Conversion Rate)
- Given shorter interaction times seen, seems like
shoppers are more impulsive in front of the
cooler
(Avg. Time to PickUp)
14. 3D SENSORS: WHY YOU SHOULD PAY ATTENTION?
THEY WILL CHANGE RETAIL, TV RATINGS, 3D
SCAN/PRINT, DRONES, CARS AND MOBILE
15. 3D SENSORS: THE FUTURE OF RETAIL AT CES 2013
ENGAGE AND DRIVE SHOOPER BEHAVIOR
16. WE ARE ENTERING THE CONTEXTUAL AGE:
SENSORS EVERYWHERE.
THE QUESTION IS NOT IF THIS WILL HAPPEN OR NOT.
THE QUESTION IS: WILL YOU BRAND MISS IT?
17. THANK YOU!
ARIEL DI STEFANO
@arieldistefano
www.shopperception.com
Notas del editor
Understanding shopper behavior in physical stores is currently greatly limited, as compared to what is available for ecommerce stores, by the availability of technology to automate the capturing of comprehensive, representative and accurate data. In the case of offline-retail, field observations, virtual stores, eye tracking tools, face recognition tools, and surveys only give incomplete, non-representative, and inaccurate data about a very small sample of shoppers.Point of sale analysis accurately captures the final outcome for all shoppers, but gives no insight into the decisions that drove such outcome on the path to purchase.