Qualitative Research: Even More Important in the Age of Big Data
Every year, companies invest billions in
data, analytics, and technology to better target and predict customer behavior.
And because of increasingly complex martech and CRM stacks, many brands are
collecting more data than ever—more than they know what to do with.
That abundance of data has led many marketing and product
leaders to incorrectly believe that they no longer need to invest in primary,
qualitative research because they think have all the customer data they ever
need.
That couldn't be further from the truth: More than ever, brands
need to dig beyond the data to truly understand the customer. Even the largest,
most data-intensive company in the world, Google, has said it needs to
appreciate "the human, the person behind the data" to be successful.
Through observational and conversational qualitative research, brands
like Google gain more useful intelligence around their data by better
understanding the context, behaviors, and emotions that drive customer actions.
Eric Bradlow, Wharton School professor and vice-dean of
analytics, notes, CMOs and their teams need to focus on
"better data, not big data. Data collection must be meaningfully tied to
strategy."
That's precisely what qualitative research does: It makes better
use of what you already have/know, and opens up new possibilities beyond your
traditional view of the world to inform strategic decisions.
Getting to better data starts with asking the right questions:
- Why do people choose your brand
and products, and what drives their purchase decisions?
- Why that place, those people,
that time of day?
- Who isn't buying
your products and services—those people beyond the reach of your
transactional databases—and why aren't they engaged with your company and
brand?
By investing in qualitative research, companies are able to
answer those key questions—and make the data they already collect more
actionable and valuable.
With that in mind, let's take a deeper look at some of the key
areas where even data-rich marketers can and should apply qualitative research
to maximize business impact.
Better Insights and
Segmentation
Using qualitative
research—through direct conversations or observation (or both)—companies are
able to dig deeper to understand what motivates target customers. This type of
empathy-led research provides not only new insights but also important context
to better understand data collected about customer segments (and also whether
definitions of those segments and their motivations are accurate).
For example, a company
may have data that shows a proportion of its audience consumes a certain type
of media at regular time intervals. That allows the company to understand the
customer's media behavior from a valid, reliable, statistical standpoint, but
it doesn't reveal much about who its target customers are beyond the
demographics and statistics: It
doesn't reveal which emotional levers to pull to change perceptions and impact
behavior.
In fact, many
companies think a demographically driven cluster analysis from existing
customer data is the same as an actual market segmentation. Although those
clusters are useful in pulling groups of people together based on demographics
and even transactional metrics, they are not built around the needs, values, and other motivations that
drive a group of people to action. Using qualitative research, however,
companies can layer in those critical inputs to create a much more robust,
nuanced, and actionable segmentation that goes beyond hard data.
Another key benefit of
qualitative research in segmentation is that you can develop stories to better
understand and relate to the customer experience. Part of the job of qualitative
researchers is to tell stories (based on patterns that emerge from what they're
hearing and observing from consumers) and build a narrative that reveals who
these individuals truly are as complicated humans.
Understanding the
Customer Journey
Often, companies rely
on existing customer relationship marketing (CRM) data to give them a sense of
the customer journey—from initial consideration to point-of-sale and
post-purchase reactions.
However, CRM data
alone provides only a partial picture. In addition to understanding who, where,
when, and how often customers are engaging across channels along the path to
purchase, companies also need to employ qualitative research to
understand why a
customer feels and acts the way they do, including what informs and drives
their decisions.
Importantly,
qualitative research is the only way to give companies a customer's own
narrated view of their activities and decisions. It also helps "fill in
the gaps" in the journey, revealing critical "micro-moments of truth"
when a customer reaches an inflection point in their shopping and buying
experience that may not be captured in transactional data.
In addition, there is
a need to understand the experience and journey of prospective customers that
are not being targeted—key groups that may hold potential for growth and lie
beyond the reach of existing data sets.
Without qualitative
information, companies would not have a true sense of their consumers'
authentic experience and would not be able to impact the journey effectively at
key moments in time.
Qualitative research
adds breadth and depth to paint a more complete picture of the customer
journey—often delivered with visual impact that can energize entire
organizations for more effective activation and socialization of the learning.
Stronger Campaigns and
Communications
By hearing the stories
of target customers and prospects and putting oneself in their shoes, companies
are better able to learn who those people are, how they interact with the
company's products and services, and what delights and frustrates them. In
turn, those insights help marketers create more precise, more effective
campaigns.
Considering how
rapidly the customer journey and customer needs are evolving, marketers have to
continually question and seek out new data and voice-of-the-customer feedback
to stay connected.
Qualitative methods
and techniques, such as passive observation, online interactive boards, and
social media monitoring, can provide more real-time insight into customer needs
and wants. They also yield the all-important context and emotions that creative
directors rely on to craft campaigns that truly resonate with audiences.
Interestingly, there
is a trend toward companies' using data analytics and modeling (such as
discrete choice or structural equation modeling) to help create positioning and
messaging territories. It's no secret that companies tend to place great trust
in "numbers" and hard data in developing creative marketing
communication campaigns. Though Big Data and related analytic techniques are
useful in this application, they cannot be effectively deployed without
qualitative research up front to bring to the surface relevant category
attributes (typically, consumer needs matched with product features and
benefits)—and, importantly, do so in a way that accurately conveys the
customer's own language.
Data analytics alone
can never get close enough to the real person to reveal the types of emotions
and desires that so often fuel the best creative ideas. Simply put: when we
know whom we're talking to, we can craft more compelling messages for that
audience, differentiating a brand and driving desired behavior.
And by applying new
insights and learning on an ongoing basis, companies are able to experiment and
continually improve campaigns to deliver the right message at the right time to
target customers. Great qualitative insight drives that.
Why This All Matters
Observation,
awareness, socialization of ideas, and psychology all play a role in
understanding the world of customers. In addition to data and analytics, the
need for observing and talking to people remains vitally important for gaining
useful consumer intelligence that will drive business results.
It's so important to
bring the customer's story to life, to make it relatable, so that it creates
real impact on those who make marketing decisions. By relating to the stories
of your customers, you better understand them in ways that are meaningful. You
have an opportunity to embrace them as part of what you're building.
Companies need to stay open, truly listen to their customers, and invite them to help write their brands' next chapters. Data alone can't do that. It takes people—and empathetic qualitative research—to shed light on the nuances of human behavior.
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