Tag Archives: Consumer

Free Webinar: Data Analytics in the Retail Store of the Future

Marketing Analytics & Data Science speaker Dave
Bhattacharjee, VP of Data Analytics for Stanley Black and Decker, was
unfortunately unable to be at the conference last month, but he still wanted to
share his presentation with our community digitally.
In Dave’s upcoming webinar ‘Data
Analytics in the Retail Store of the Future
‘, he will outline the
challenges for brick and mortar retailers and their use of analytics to improve
their business and create the retail store of the future. Brick and mortar
retailers are going through a period of unprecedented change. To remain
competitive, retailers are focused on omni-channel and the use of the retail
store as a competitive advantage for both customer experience and order
fulfillment. The focus for this presentation will be the innovative use of
sensor and video technology, machine learning and the use of blended data to
improve customer lifetime value, marketing analytics, sales lift and margin
optimization.  
Dave will cover topics such as data acquisition and store
instrumentation leveraging the internet of things. He will discuss advances in
video analytics that enable retailers to better understand customer engagement,
experience and behavior. And, he will also discuss the use of blending
unstructured data to enable retailers to better assess promotions and their
impact on sales and margins.
Save your seat for
the webinar on Wednesday, May 31st at 2:00 PM EST: http://bit.ly/2p11Lye
About the Presenter:

Dave Bhattacharjee is the Vice President of Data Analytics
for Stanley Black and Decker. In this role, Dave is responsible for monetizing
Stanley Black and Decker’s data assets. His current projects include analytics
applications for physical security, retail, healthcare, smart factory and
marketing.    
Prior to Stanley Black and Decker, Dave was at Cisco Systems
where as Managing Director, Dave managed and led Cisco’s consulting services
for analytics and big data in the Americas. He has also held leadership
positions at IBM and PriceWaterhouseCoopers where Dave worked with the Fortune
500 on large scale initiatives designed to create business value through data
and technology. He has an MBA from the University of Texas at Austin and a
Bachelors in Computer Science and Engineering from Arizona State University.
  
Cheers,
The Marketing Analytics & Data Science Team

Introducing the TMRE On Demand Webinar Series!

Introducing the TMRE On Demand Webinar
Series!

TMRE ON DEMAND
As insights leaders, we are
constantly tasked with evolving our skill sets and staying on top of the latest
MR trends.
The producers of TMRE: The Market
Research event are excited to announce that we’ll be delivering the
cutting-edge content and speakers to keep you informed year-round. The TMRE
webinar series takes you beyond the in-person event, and is designed for executives
with a relentless focus on securing the future of insights as a powerful force
for business success. Each quarter, the TMRE Webinar series delivers a 3-part
webinar experience designed to empower insights executives with the latest
information around hot topics to ensure insights drives bottom line impact.
Schedule of WEBINARS:
STORYTELLING WITH DATA
Wednesday, May 24, 2017 ‘ 2:00 ‘ 3:30 PM EST
Driving the
value of insights forward requires much more than just unearthing great data.
You need to use that data to tell a story and command influence across the
broader organization. Because storytelling may not be an inherent skill, this
3-part webinar focuses on how to use data to create an engaging, informative, compelling story. 
               
THE NEED FOR SPEED: BALANCING SPEED OF
INSIGHT WITH QUALITY OF INSIGHTS
Wednesday, August 16, 2017 – 2:00 – 3:30 PM
EST
There is a constant tug of war within
insights and research departments. Your internal end-users want things done
quickly and cheaply. While career market researches want to ensure they are
using the savviest tools and techniques, and not just will get the job done
first. This 3-part webinar focuses on how to balance speed and quality.
DEMYSTIFYING THE MILLENNIAL MINDSET
Wednesday, November 15, 2017 ‘ 2:00 ‘ 3:30 PM
EST
Millennials are currently the
largest purchasing base, but remain one of the biggest mysteries for companies
looking to understand the ‘why’ behind their actions and anticipate future
needs. This 3-part webinar focuses on MR in the on-demand mindset and generate
impactful insights that create brands/products around a purpose that speaks to
millennials.

Insights Interview: James Petretti, SVP, Research & Analytics, Sony Pictures TV

In our recent insights interview, we sat down with James Petretti,
Senior Vice President, U.S. Research and Analytics to discuss how to reach the new
age media consumer.
Here’s what Petretti had to say:
What is the state of
the media research industry in 2017?
Petretti: Media Research is more complicated than ever
before ‘ more platforms, more channels, more kinds of content and more measures
than ever before ‘ the different types of data sets, and sheer amount of it
that  we are required to work with today means we need to bring in new
skill sets and core competencies ‘ so it’s a constant learning process on top
of trying to stay on top of an ever-increasing amount of information’ it’s exhilarating
and exhausting at the same time.
What have been the
biggest changes in the industry since you started your career?
Petretti: We’ve
moved from an analog to digital world ‘ that’s changed everything.
Have the influx of
social media and mobile made your job easier or harder?
Petretti: Both ‘
there’s more data to have to consider ‘ but it’s often a rich data set that
allows us to have immediate feedback
How has the media
consumer changed in the past few years?
Petretti: The
Consumer is King today’ they’re in control
How can media
companies do a better job reaching the new age consumer?
Petretti: We need
to make sure we respect the consumer today ‘ when Media was a one to many
medium, media companies were driving the relationship ‘ but that’s changed and
we must respond in kind ‘ we can’t just look at consumers as ‘audience targets’
‘ we must understand them as individuals and consider how we can help satisfy
their needs and expectations.
What is the biggest
challenge in the media industry today?
Petretti: The
Business Model has not yet evolved to meet today’s realities ‘ the ad supported
television model is based on a captive audience trapped in linear time ‘ but
today viewers are liberated with extraordinary options that empower individual
control and increasingly asynchronous viewing.
Where do you see
media research moving in 5 years?

Petretti: Analytics,
Data Science and Data Visualization continue to become increasingly important
disciplines for media researchers ‘ we need to incorporate core competencies
from each to meet the demands of the new media world today and beyond.

Meet the Powerful Women Driving the Future of Customer Insights

TMRE: The Market Research Event and OmniShopper have some
exciting news to share’
Not only is TMRE partnering with WiRE (Women in Research)
for the first annual TMRE/WiRE Women in Research Award to celebrate some true
rock-star researchers, but we’re happy to share a preliminary list of powerful
women in insights confirmed to take the stage at both the TMRE and OmniShopper 2017
events.

Check out the inspiring women speaking at TMRE 2017:


??        
Dawn Cunningham, Chief Insights Officer, 3M
??        
Amber Case, Cyborg Anthropologist, Author, Calm
Technology
??        
Cole Nussbaum Knaffic, Founder, Storytelling
with Data
??        
Kristin Luck, Founder, WiRE: Women in Research
??        
Marina Kosten, VP Research – International
Theatrical, 20th Century Fox
??        
Elizabeth Merrick May, Head of Customer
Insights, Nest
??        
Christina Jenkins, Director, Global Business
Marketing, North America, Twitter
??        
Anna Fieler, Chief Marketing Officer, Popsugar
??        
Lisa Courtade, Head of Market Research, Merck
??        
Judy Melanson, SVP, Travel & Entertainment,
Chadwick Martin Bailey
??        
Amanda Hill, Chief Marketing Officer, A+E
Networks
??        
Margo Arton, Director of Ad Effectiveness
Research, Buzzfeed
??        
Lauren Zweifler, Senior Vice President
,Strategic Insights & Research, NBCUniversal
??        
Terrae Schroeder, Senior Director, Wholesome
& Shopper Insights, NA Snacks, Kellogg
??        
Theresa Pepe, VP of Research, Viacom
??        
Sarita Bhagwat, Vice President, Market
Intelligence, Fidelity Investments
??        
Julie Brown, President, The Center for Strategy
Research
??        
Lori Tarabeck, Global Market Insights, Abbott
Diabetes Care
??        
Renata Polcicio, Vice President, Fan and Media
Intelligence, International, Global Markets, ESPN
??        
Jennifer Avery, Director, Consumer Insights,
Universal Orlando Resort
??        
Sara Fahim, Senior Research & Innovation
Consultant, Seek Company
??        
Tiffany Sanders, Business Intelligence &
Research, CBS
??        
Emily Akinson, Insights & Planning, Consumer
& Market Insights, Kellogg
??        
Mary Beth Jowers, Consumer Insights Lead for
North, Central and Eastern Europe, Gruppo Campari
??        
Stephanie Cunningham, Senior Manager, Customer
Insights & Analytics, eBay
??        
Lina Roncancio, Insights & Innovation
Director, Discovery Communications Latin America
??        
Michelle Gansle, Director, Consumer & Market
Insights, Wm. Wrigley Jr. Company
??        
Karin Kricorian, Director, Management Science
and Integration, Disney
??        
Sarah Beachler, Director, Market Research &
Client Insights, Sephora
??        
Beth Coleman, SVP Marketing and Partner
Insights, Viacom
??        
Samantha Dawkins, Vice President, Client
Strategy & Advocacy, ADP
??        
Gabriela McCoy, Director of Global Consumer
Insights, Bacardi
??        
Kassie Deng, Director, Marketing & Partner
Insights, Viacom
??        
Lyndsey Albertson, Director of Sales Research,
ABC
??        
Maria Cristina Antonio, Director, Metabolic
Insights & Analytics, Novo Nordisk
??        
Julia Oswald, Senior Vice President, Strategy
& Insights, Domino’s Pizza
??        
Carley Metsker, Vice President, Client Service,
Directions Research
??        
Monika Mandrakas, Market Researcher &
Customer Advocate, Mutual of Omaha
View the TMRE brochure
for a full list of speakers:
https://goo.gl/1Ricj2
Check out the inspiring women speaking at OmniShopper 2017:

??        
Shopper Marketing Activations: Marketing &
Merchandising: J Lynn Martinez, Vice President & Team Lead Kroger, Dr
Pepper Snapple Group
??        
Customer Experience Design: How Research &
Design Collaborate to Build New and Differentiated Experiences: Kate Kompelien,
Customer Experience – Center for Excellence for Research & Strategy, Best
Buy
??        
Omnichannel Customer Analysis: Lakshmi
Venkataramari, Senior Director, Customer Insights & Analytics, Walmart
eCommerce
??        
Winning in Her Purse: Kelley Styring, Principal,
InsightFarm
??        
Knowledge is Power, If You Can Find It: Ashley
Starke & Diana Powell, Manager, Shopper Insights, ConAgra Foods
??        
Team Structure Doesn’t Matter: Sue Butler, Director
of Omnichannel Insights, Walmart
??        
Going Beyond Behavior to Drive Category Growth:
Monica Melichar, Senior Manager, Consumer Insights, Beam Suntory & Erin
Barber, Senior Vice President, C+R Research
??        
Longitudinal Data & the Low Purchase
Frequency Category: Stacy Carty, Shopper Insights, Samsung
??        
Driving Change While Driving the Business:
Improving Tools & Automation: Theresa Hendrickson, Director, eCommerce
Engineering – Business Tools & Processes, Best Buy
View the OmniShopper
Brochure for a full list of speakers: https://goo.gl/Qw8Juo
Use exclusive
LinkedIn discount code TMRE17LI for $100 off the current rate. Buy tickets to
TMRE now:
https://goo.gl/1Ricj2
Use exclusive
LinkedIn discount code OMNI17LI for $100 off the current rate. Buy tickets to
OmniShopper now:
https://goo.gl/Qw8Juo
Also, don’t miss our
upcoming free webinar ‘Storytelling with Data’ http://bit.ly/2o0bpAS
featuring speakers Kelsy Saulsbury, Manager, Consumer Insight & Analytics,
Schwan’s Shared Services, LLC and Bill Greenwald, Founder and Chief
Neuroleaderologist, Windsor Leadership Group, LLC. 
Driving the value of
insights forward requires much more than just unearthing great data. You need
to use that data to tell a story and command influence across the broader
organization. Because storytelling may not be an inherent skill, this webinar
focuses on how to use data to create an engaging, informative, compelling
story.  Register for the webinar here:
http://bit.ly/2o0bpAS
Cheers,
The TMRE & OmniShopper Teams
@TMRE
@OmniShopper

Q&A with Nielsen’s Chief Research Officer Mainak Mazumbar

In our Insights Interview series, we sit down with insights
executives to discuss the state of insights and where it’s going in the future.
We were fortunate to catch up with Nielsen’s Chief Research Officer Mainak
Mazumbar recently.
Here’s what he had to say:
What is the state of
the media research industry in 2017?
Mazumbar: Acceleration
of fragmentation and digitization of media will continue to create unique
opportunities for the media research industry. 2017 is the year when media
research will deliver massive measurement innovation by incorporating various
data (e.g. mobile devices, set top boxes, over the top, location etc) into the
current measurement methodologies in ways no one ever has before.
What have been the
biggest changes in the industry since you started your career’?
Mazumbar: Decline
in consumer participation in surveys and rapid adoption of mobile devices have
posed methodological and measurement challenges. Researchers have much better
insights into media behavior than before because of digital data. New open
source tools and cloud now allows researcher to deliver measurement at speed
and scale’. New data science talent who are versed both in statistics and
computing.
Have the influx of
social media and mobile made your job easier or harder?
Mazumbar: It’s definitely
easier because social and mobile data now allow us deeper understanding of
media consumption in almost real time. The challenge is how we, as researchers,
develop methodologies addressing both scale and speed.
How has the media
consumer changed in the past few years?
Mazumbar: While
we see continued fragmentation, consumers are spending more time on media than
ever before. I think mobile and new forms of video make a huge difference and
have revolutionized how we consume and interact with media.
How can media
companies do a better job reaching the new age consumer?
Mazumbar: Continue
pushing forward new strategies for mobile and video.
What is the biggest
challenge in the media industry today?
Mazumbar: Three
challenges:
1) It’s all about consumers’ “attention” on
various platforms and devices
2) Get ahead of fraud/ viewability issues and regain
advertiser’s and consumer trust
3) Data protection and privacy
Where do you see
media research moving in 5 years?

Mazumbar: There is an increasing
need for a third party and objective view of consumer behavior. This will
require researchers to develop independent and high quality data sets that
reflect the true behavior of real people — to address biases, limitations and
incompleteness of device level data. And the speed at which clients need to
make business decisions is increasing. Therefore, we need to deliver research
and insights with speed and scale.
Want more expert insights on the market research industry? Attend one
of upcoming 2017 insights events:
Marketing Analytics
& Data Science
April 3-5, 2017
San Francisco, CA
Use code MADS17LI for $100 off.
Buy tickets: https://goo.gl/YqXZdx

TMRE in Focus
May 1-3, 2017
Chicago, IL
Use code FOCUS17LI for $100 off.
Buy tickets: https://goo.gl/c2UdIv

OmniShopper
June 20-22, 2017
Minneapolis, MN
Use code OMNI17LI for $100 off.
Buy tickets: https://goo.gl/oUB85g 

TMRE: The Market
Research Event
October 22-25, 2017
Orlando, FL
Use code TMRE17LI for $100 off

Buy tickets: https://goo.gl/SKtcUv

Here Comes Gen Z: 10 Keys to Understanding Them

According to Open Mind Strategy
research, these are the top things to know about the new kids on the block Gen
Z:
1. Huge
Gen Zs make up more than
a third of the world’s population and comprise nearly a quarter of the US
population ‘ bigger than both Millennials and Baby Boomers ‘ and still being
born.
2. The most diverse
generation ever
Gen Z will be the last
majority-White generation born in the United States. Already the white majority
is holding on by a thread, only 51% of Gen Z born into non-Hispanic White
families.
This generation’s
diversity also extends to their sexuality and gender identity. More than
one-third of Gen Zs self-identify as bisexual to some degree; more than half
know someone who uses gender-neutral pronouns.
3. They idolize
Influencers, not Celebrities
Most dedicate more time
to YouTube than any other social site and their view of celebrities isn’t limited
to movie stars and musicians, note the billions of views racked up by YouTube
stars RayWilliamJohnson and PewDiePie. They want to emulate self-made
Influencers who are just like them.
4. A plan to get paid
While Gen Zs are
certainly passion-driven, if they know their passions won’t lead to financial
stability, they have a plan for something that will. In everything from
entrepreneurship to sports, kids and teens are finding places to excel early
and focus their efforts in hopes of a payoff.
5. Having safe fun
Gen Zs are still
teenagers! They want to have a good time, but they don’t want to negatively
impact the successful future they are working to build. The teen pregnancy and
birth rate are at historic lows, as is the usage of cigarettes and heroin among
high-schoolers.
6. Caring about ‘cool’
Gen Z is snarky and very
image aware. With the ever-growing influence of social media, there is a
palpable return of ‘cool kids’ and ‘losers’ among Gen Z. They will quickly take
down a post that doesn’t receive enough likes for fear of someone seeing its
lack of attention.
7. Don’t share
everything online
Gen Z takes a crafted
and curated approach to posts. They are more aware of who they are sharing
their lives with and how it affects their identity, which is why platforms like
Snapchat are so appealing. They saw the devastating effects party pics had on
their sibling’s scholarship or job offer.
8. No Mo ‘Beta Boys’
Gen Z boys want to be
taken more seriously. To them, girls are certainly equal, but not better.
Gen Z boys want in on the partnership by taking themselves a bit more seriously
in school, work and relationships, but also embracing their sensitive side.
9. Mostly cynical
Gen Zs have realistic
expectations and are skeptical that the world will work in their favor. More
than eight in 10 Gen Zs were born after September 11. Growing up, conflicts
over issues like the economy, gun violence and climate change, have been
common. As a result, these teens have developed a valid claim to cynicism.
10. Still KIDS!
This generation is just
beginning to come of age, and as uptight as they may seem, they’re still kids
who haven’t quite figured it all out yet. They’re working hard and taking
themselves seriously, but they are still silly, young, fun and undeclared.
END
Open Mind Strategy, LLC, is a research and
brand strategy firm founded by Robin Hafitz, in 2010, with the mission of
providing ‘more human intelligence.’ OMS
(http://www.openmindstrategy.com/) provides
insight services, including qualitative and quantitative research, brand
studies, show and message testing, segmentation, and customized inquiries, as
well as strategic brand consulting and educational workshops. The O
MS
team is proud to have worked with leading clients, such as A&E Networks,
AMC, Amazon, Clear Channel, Cond?? Nast, Gannett, Kao Brands, MTV, NBCUniversal,
Scripps Networks, Unilever, USA Today, Yahoo!, and many more.

Online Ad Effectiveness Research Grows Up

 This article is
brought to you by Survata.

The days of giving
digital a pass are over. It’s time to grow up.’- Marc
Pritchard, Chief Branding Officer, Procter & Gamble, January 2017
When the CBO of P&G tells us to grow up,
we listen. And after speaking with clients at last month’s Media Insights
Conference, it’s clear that there’s consensus: online advertising research
needs to get more sophisticated.
We’re here to help. IAB breaks research down into phases: design, recruitment & deployment, and
optimization. We’ll walk through each phase and determine what’s most in need
of ‘growing up.’ We’ll also include questions to ask your research partner to
help increase the sophistication of your ad effectiveness research.
Design

Let’s start by acknowledging that
statistically sound online ad effectiveness research has not been easy to
implement at reasonable cost until recently. As IAB notes, ‘Questions around recruitment, sample bias and deployment are
hampering the validity of this research and undermining the industry as a
whole.’
Just because perfect research design is
challenging to achieve doesn’t mean that advertisers should settle for studies
with debilitating flaws, leading to biased, unreliable results. In addition to
challenges inherent to good research design, most ad effectiveness research
partners have systematic biases due to the way they find respondents, which
must be accounted for in the design phase. There has been innovation in this
space within the past year using technology to reduce or eliminate systematic
bias in respondent recruitment. 
Assuming you’re able to address the systematic
bias of your research partner’s sampling, the major remaining challenge is how
you approach the control group. At Survata, we think about this as a hierarchy: 
Using a holdout group is best practice, but
implementing it requires spending some portion of your ad budget strictly on
the control group. In other words, some of your ad budget will be spent on
intentionally NOT showing people an ad. A small portion of people in the ad buy
will instead be shown public service announcements to establish the control
group. We love the purity of this approach, but we also understand the reality
of advertising budgets. We don’t view holdout as a requirement for sound online
ad effectiveness research. Smart design combined with technology can achieve
methodologically sound control groups without ‘wasting’ ad budget.
Along those lines, the Audience Segment
approach has become de facto best practice for many of our clients. Basically,
you create your control group from the same audience segment that you’re
targeting in the ad buy. This isn’t perfect, as there could be an underlying
reason that some people in the segment saw the ad but others didn’t (e.g., some
people very rarely go online, or to very few websites), but it’s still an excellent
approach. It’s the grown-up version of Demographic Matching.
Demographic Matching, in which the control
group is created by matching as many demographic variables as possible with the
exposed group (e.g., gender, age, income), is still a very common strategy.
It’s straightforward to accomplish even using old online research
methodologies. As online data has allowed us to learn far more useful
information about consumers than demographic traits, this approach is dated.
Simply sampling GenPop as a control is
undesirable. The results are much more likely to reveal the differences between
the exposed and control groups than the effectiveness of the advertising.
Questions for your research partner:
  • What are known biases among
    respondents due to recruitment strategy?
  • What is your total reach? What
    percentage of the target group is within your reach? Is it necessary to
    weight low-IR population respondents due to lack of scale?
  • What’s your approach to creating
    control groups for online ad effectiveness research?
  • For Demographic Matching, how do
    you determine which demographic characteristics are most important to
    match?
  • How do you accomplish Audience
    Segment matching?
Recruitment/ Deployment

Historically, there were four methods to recruit respondents / deploy the
survey: panels, intercepts, in-banner, or email list. To stomach these
methodologies, researchers had to ignore one of the following flaws:
non-response bias, misrepresentation, interruption of the customer experience
or email list atrophy. In our view, these methodologies are now dated since the
advent of the publisher network methodology.

The publisher network works by offering
consumers content, ad-free browsing, or other benefits (e.g. free Wi-Fi) in
exchange for taking a survey. The survey is completed as an alternative to
paying for the content or service after the consumer organically visits the
publisher. In addition to avoiding the flaws of the old methodologies, the
publisher network model provides dramatically increased accuracy, scale, and speed.
Questions for your research partner:
  • What incentives are offered in
    exchange for respondent participation?
  • What are the attitudinal,
    behavioral, and demographic differences between someone willing to be in a
    panel versus someone not interested in being in a panel?
  • What are the attitudinal,
    behavioral, and demographic differences between someone willing to take a
    site intercept survey versus someone not interested in taking a site
    intercept survey?
  • How much does non-response bias
    affect the data?
  • Are you integrated with the
    client’s DMP?
  • How long to get the survey into
    the field, and how long until completed?
  • How does the vendor ensure that
    exposure bias doesn’t occur?
  • How does the vendor account for
    straight-liners, speeders, and other typical data quality issues?
Optimization

An optimal ad effectiveness campaign returns results quickly, so that immediate
and continuous adjustments can be made to replace poorly performing creative,
targeting, and placements with higher performing ones. We call this real-time
spend allocation. It’s analogous to real-time click-through rate optimization,
as it relies on solutions to the same math problem (known as the multi-armed bandit).

By integrating with DMPs, ad effectiveness
research can be cross-tabbed against even more datasets. The results will yield
additional insights about a company’s existing customers.
Questions for your research partner:
  • Are results reported real-time?
  • How much advertising budget is
    wasted due to non-optimization?
  • How can DMP data be incorporated
    to improve ad research?
Conclusion

Flawed research methodologies can’t grow up,
they can only continue to lower prices for increasingly suspect data. For
online ad effectiveness research to grow up, new methodologies must be adopted.

To learn more about
conducting your own ad effectiveness study, visit Survata

Must See Talks from KNect365′s Spring Insights 2017 Events

From former gang leaders, to cyborg anthropologists, to
biomimicry experts- KNect365′s Must See Talks will challenge you to look at
problems in a whole new way and become an ignitor of change for your organization.
‘The Centrality of a Detailed Understanding of your
Audience’ ‘ Haile Owusu, Chief Data Scientist, Mashable
Marketing Analytics & Data Science
April 3-5, 2017
San Francisco, CA
Use code MADS17LI for $100 off.
Buy tickets to see Haile: https://goo.gl/YqXZdx
‘The Consumer Influence ‘ and Impact ‘ of Virtual
Reality’ ‘ Jeremy Bailenson, Founding Director of Stanford University’s Virtual
Human Interaction Lab at Stanford University
TMRE in Focus
May 1-3, 2017
Chicago, IL
Use code FOCUS17LI for $100 off.
Buy tickets to see Jeremy: https://goo.gl/c2UdIv
‘Originals: How Non-Conformists Rule the World’ ‘ Adam
Grant, Professor, Author of Give and Take and Originals at The Wharton School
of Business at the University of Pennsylvania
OmniShopper
June 20-22, 2017
Minneapolis, MN
Use code OMNI17LI for $100 off.
Buy tickets to see Adam: https://goo.gl/oUB85g
‘Underdogs, Misfits
& the Art of Battling Giants’ ‘ Malcom Gladwell, Best-Selling Author of
Outliers, The Tipping Point and David & Goliath
TMRE: The Market Research Event
October 22-25, 2017
Orlando, FL
Use code TMRE17LI for $100 off.
Buy tickets to see
Malcom:
https://goo.gl/gM7Dtv
We hope to see you this
spring!
Cheers,

The KNect 365 Event Team

Using Geofencing to Observe Shopper Behavior

This post was originally published on the Research Now blog.

It is widely discussed that mobile opens up incredible
opportunities for researchers. It is perhaps equally widely discussed that
mobile provides challenges for researchers ‘ especially those most reticent to
part with, let’s say, more traditional approaches. I could think of a number of
examples of this two-sided coin, but I’ll leave all of those, save one, for
future discussions.

One that the industry needs to tackle head on is the use of
geolocation for understanding shopper behavior. So much opportunity! But
logistics and analysis is so hard (for many rooted in market research)! The
notion of using geolocation itself for research is no longer new. Geofencing
has been used to target people for research for several years ‘ with the most
commonly used methodologies centered around delivering a survey to someone when
they are in a specific location or after they have left. In many cases this is
a viable approach to understanding shoppers ‘ and getting feedback close to the
point of experience.
Personally, I’m a fan of targeted and efficient research
engagements that ask people to recall their shopping behaviors before they
forget them. But I am also a fan of not having to ask what we don’t really need
to ask, for example who they are, where they shopped, and when. With this idea
in mind, and wanting to piggyback on prior years of researching Americans’
Black Friday shopping habits, we looked to explore how geofencing could be
effectively utilized to understand shoppers with minimal active engagement from
them. So, last Fall, we brainstormed with Placecast and their savvy team of
location-focused researchers on how we could shed new light onto shopping
behaviors around this critical time period for retailers.
While we did end up asking some questions directly of people,
we managed to glean a lot by matching our panelists’ location data with
existing profiling attributes. We discovered, for example, that the most
affluent Walmart shoppers came to the store on Black Friday when compared to
days leading up to and following that day.

The most affluent shoppers also proved to shop early in the
morning in the days immediately prior to and following Black Friday.
Understanding who shops where and when is crucial
to retailers and advertisers as they try to craft relevant messaging and
promotions for holiday sales. Combining geolocation data and associated
advanced analytics with known profiling attributes creates a compelling story
about shopper behavior, one that can be layered with surveys and other data
sources to provide actionable insights.

The industry has an opportunity here ‘ to use geolocation
data in a smart way and one that alleviates much of the survey burden often
placed on participants.