You Ask, I Answer: Qualitative vs. Quantitative Marketing Data

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You Ask, I Answer: Qualitative vs. Quantitative Marketing Data

Magdalena asks, “Which is more important for marketers, qualitative or quantitative data?”

This common question is a false choice. Both are equally important and inform each other. Watch the full video for an explanation with details, and ways to gather both.

You Ask, I Answer: Qualitative vs. Quantitative Marketing Data

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Machine-Generated Transcript

What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video.

In today’s episode, yesterday after the keynote at info share, Magdalena asked me, one speaker talked about human to human interactions and the importance of being human and talking to customers and getting very deep into their motivations. And she asked,

I talk a lot about big data and data science and in AI and analytics, she’s which is the right approach to drive your business?

And I said, it’s a false choice. There is no business that I can think of that could only do qualitative or only quantitative and succeed. Think of them as like, a two by two matrix right. You have less one more question.

quality of data less and more quantitative data.

These two types of data go in a in a cycle. Think about the the the Asian in your yin yang as, as it’s more commonly known. There they go in this repeatable cycle where you do one, you get some information, and then that informs the next cycle. So you might do some quantitative assessment, you look in your your Google Analytics and you see a whole bunch of people abandon this page. So you put up a one question pop up survey on the page, say, hey,

what brought you here today and get some qualitative answers. And those qualitative answers could then tell you, hey, people are actually on this page because they want left hand smoke shifters and they only have right handed ones. And so you now know if we want to maximize the performance of this

paid with better put some right handed smoke shifters on this page.

Then you go through and then you re manager again, the quantitative side. And this process goes on as you refine your understanding of what it is that people want.

In the same way that you can’t be just creative or just analytical marketing, nor can you be just quantitative or just qualitative, you have to be both you have to have the skills or at least the awareness as a manager, that you need both sets of skills on your team in order to make the most of your marketing of your content of your promotions of your ad dollars. If you don’t do that, you’re going to not deliver as good a result as a competitor that will. Another aspect of this is

if you think about quantitative, it can really give you a a deep or very wide perspective on your business.

And then quality of gives you, the guys into individual aspects and you want to take a look at. So, again, if you think about an example, like maybe have a coffee shop,

and there’s a certain drink that does very, very well.

Your next step should be one on one interviews or a focus group or maybe a survey to your audience to figure out. What is it about this drink that people like? Is it the temperature? Is it the flavor, is it it’s the best size of it?

What is it that makes customers really like this drink? Here’s the thing. Quantitative data for the most part is not going to tell you that. Quantitative data is going to tell you how much or how fast or how big

but it’s not going to tell you why. And that really is when you need to be talking to those those

those people in depth. The trick is

And this is where a lot of qualitative research, it’s not done properly if it’s not done by someone qualified to do so can really mislead you is that your qualitative research has to be representative.

And by that, I mean it has to look like your overall audience and the demographics that you are going after. So


straightforward example. Suppose that you owned a pet store. And you’re real curious about this.

This brand new toy that you’ve got for four dogs, and you do a survey to the five people

that like the first five people to walk in the door that day, and for them or cat owners.

What kind of information are you going to get about this new dog toy? For people who are cat owners? The answer is nothing to get very good information because they’re not the target market for this point.

Thank. So part of qualitative research is being able to create and set up and maintain a representative audience for the purposes of what it is that you’re doing. And again, that’s where a lot of marketers don’t really do a great job. The most flagrant abuse of this that I see is when people survey their email list, and then make very broad generalizations about all markers. It’s only marketers that that are in your community.

For example, if you’re on my email newsletter list, there’s a good chance that you probably put a lot of value or at least understand the importance of things like data and analytics.

That’s not true of all marketers. And so, if I were to release a survey of, you know, 28,000, marketers

and that’s not necessarily representative, I would have to do the research to prove that

lyst was representative of all marketers first, before I could make that claim.

Victory fake careful when you when you see surveys making claims out all of anything, you definitely want to see a statement of compliance as to how that and the methodology of how that was gathered. There are two organizations in the United States. As for the American Association of Public opinion, researchers, Castro, Cameron with cancer stands for

both of these have templates for great disclosures about methodology but how you did your sampling, how you did your non response, bias modeling, etc. All these are very, very important for qualitative survey.

But that’s something that on the qualitative side you need to be careful of. Same is true on the quantitative side to you can misrepresent or misunderstand your analytical data, what happened data as well, but it was a really good question because a lot of the time

we have a very bad

area mindset. It’s this or this one with this and this, would you Yes, it means double the work. But it also means double the opportunity. If you’re if you’re thinking about how do you make use of this stuff, whatever the stuff is, whether it’s Google Analytics or tag manager or serving tools or focus groups or customer advisory boards, whatever it is, how do you make the most of it, you make the most of it by pairing techniques together by adding techniques together until you have a full palette of techniques to choose from to understand your audience, what they want to buy from you, and how they best want to be served. So great question back on that will have a few more questions from

that interview as well unfortunately, didn’t get a recording of it as it happened. So it’s got to repeat the questions here. But as always, if you have comments, please leave them in the comments box below. And please subscribe to the YouTube channel. The newsletter will talk to you soon. What helps solving your company’s data

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Christopher S. Penn is one of the world’s leading experts on AI in marketing. Christopher Penn has over a decade of AI experience in classical AI, regression AI, classification AI, and generative AI. Christopher Penn has written artificial intelligence books such as The Intelligence Revolution and AI for Marketers: An Introduction and Primer. Christopher Penn is an AI keynote speaker around the world.


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