About this episode
When was the last time you looked at the quality and accuracy of your B2B persona data?
Mathew Sweezey has a blunt way to frame the problem: “The only measure that we have of the health of our email database is, did the email bounce? Horrible metric.”
That line gets to the heart of this conversation.
Most B2B marketers think about database quality in terms of deliverability. Did the email go through? Did it bounce? Is the address still valid?
But that does not tell you whether the person is still in your target persona.
Someone can stay at the same company, keep the same email address, move into a different role, and no longer be the right person for your message. The email still works. The targeting does not.
In this episode of the B2B Roundtable Podcast, I talk with Mathew Sweezey, Principal of Marketing Insights at Salesforce, about new B2B persona research from Salesforce and LinkedIn.
The research analyzed more than 15 million data points across two major B2B databases to better understand audience size, growth, churn, and movement inside organizations.
Mat argues that marketers need to think differently about their databases. Your data is not just a list. It represents your relationships. And those relationships are constantly changing.
We get into why email databases decay, why personas are fluid, why marketers need to think beyond bounce rates, and how the shift from limited media to infinite media is changing B2B marketing.
If your team is still measuring database health by whether an email address works, this conversation is worth your time.
About Mathew Sweezey
Mathew Sweezey is was formerly, Principal of Marketing Insights at Salesforce. He was one of the early employees at Pardot, a marketing automation platform that was later acquired by ExactTarget and then Salesforce.
He is the author of Marketing Automation for Dummies and has written for multiple marketing and business publications. His work focuses on forward-looking marketing ideas, B2B buyer behavior, marketing automation, data, and the changing media environment.
@msweezey on X/TwitterChapters
00:00 Introduction to Mathew Sweezey
01:10 Mat’s background at Pardot and Salesforce
02:00 Why Salesforce studied B2B personas
04:20 Why email data is a major marketing asset
05:40 Why bounce rate is a bad health metric
07:10 Persona movement, growth, and churn
10:00 Why B2B marketing is changing
14:30 What marketers should rethink about email
A few things worth taking away
Your email database may be the largest asset marketing owns, but most teams do not manage it that way.Mat estimates that the average B2B business spends about $150 to obtain an email address.A valid email address does not mean someone is still in your target persona.People move horizontally and vertically inside companies, and that movement changes whether they are still relevant to your message.Database health cannot be measured only by whether an email bounced.Personas are not fixed groups. They grow, shrink, and churn over time.If your database churns at 15% per year and you do not update it, it becomes increasingly irrelevant.Social handles may have a longer shelf life than work email addresses because they follow people across jobs.Your data represents your relationships, and relationships move when people change roles or companies.Marketers need to think multidimensionally about contact data, not just “grow the email list.”A few lines that stuck with me
“The only measure that we have of the health of our email database is, did the email bounce? Horrible metric.” — Mathew Sweezey
“It’s not a what did you get, it’s a how effective were you.” — Mathew Sweezey
“Their email address is still valid, yet that person is no longer in your persona.” — Mathew Sweezey
“If your database churns at an average rate of 15 percent per year, that means your database is irrelevant if you don’t continually update it in 4.2 years.” — Mathew Sweezey
“A gerbil will live longer than a marketer will stay in their current position.” — Mathew Sweezey
Resources mentioned
B2B Personas: Targeting Audiences report from Salesforce and LinkedInMarketing Automation for Dummies by Mathew SweezeyThe Cluetrain ManifestoGallup Trust in Professions pollYou may also like
Empathetic Marketing: How to Connect With Your CustomersLead Nurturing: 5 Useful Tactics to Get More Opportunities5 Reasons Why Your Buyer Personas Aren’t Good EnoughListen and subscribe
If you found this episode helpful, subscribe to the B2B Roundtable Podcast wherever you listen.
Transcript
Brian Carroll: Our data represents our relationships. Have you looked at your own data?
This is Brian Carroll. I want to welcome you to today’s B2B Lead Blog Podcast.
There are some questions that I want to ask you. What’s the annual growth rate of the personas in your database? Do you know how many of them have churned? What’s the size of your audience, and are you sure about that?
I’m super excited to have Matt Sweezey. He goes by Sweezey to me. Matthew Sweezey works with Salesforce. He’s the Principal of Marketing Insights.
Salesforce, along with LinkedIn, just released a new research study. As I understand it, it started in 2014, Matt, but this is the B2B persona report.
I wanted to talk with Matt to bring this very important information to B2B marketers.
Matt, welcome. I’m really glad to have you. Can you tell us more about your background?
Mathew Sweezey: Yeah, thanks Brian for having me. I love being on here.
My background’s kind of interesting. I think what’s relevant to this conversation is I was one of the really early employees at a small startup back in the day called Pardot, which is a marketing automation platform.
From there, we grew that, sold that to ExactTarget. I became a Salesforce employee, and along that road I wrote a book called Marketing Automation for Dummies, write for lots of different publications, and now I head up the forward-looking marketing ideas and theories as Principal of Marketing Insight at Salesforce.
Brian Carroll: Cool. So tell me about this study. What motivated you or inspired you to do this research?
Mathew Sweezey: What inspired me is what I think is funny. To me, these are fundamental marketing questions.
What bothers me is the fact that no one else was trying to ask these questions, or whether or not they really knew they should even be asking these questions in the first place.
As a marketer, we have metrics. We’re like, all right, so we got 10,000 email addresses this year. That would be a metric that we may give to somebody to validate our efforts.
But that’s like saying, I’ve got 10. Ten out of how many? That’s the question.
It’s not a what did you get. It’s a how effective were you.
These were effectiveness measures. Without really detailed information into our audiences, and exactly their size, their growth, their churn, we really have no way to answer any of those questions, which should be key fundamental questions that we should be able to answer about our job.
That’s what really sparked this.
This idea started a couple of years ago, when I started to get more into, just really, I wanted to understand the value of email better, and how do we value our email addresses.
Just think about this real quick. Once again, these are some generic numbers that I calculated by looking at all the measures that are out there and aggregating them together into one number.
When you look at about the average number that it costs a B2B business to obtain an email address, that is about $150.
Mathew Sweezey: $150 to obtain an email address.
And when you then look at the average size of a B2B email database, the average size is 50,000 names. That’s what a marketer has. Not their addressable market, let me be clear on that.
So if you multiply those two things together, the marketer has a seven and a half million dollar asset under their control, which is their email database.
And to be clear, that is the largest asset that a marketer owns, point blank.
Now when you then say, that’s the largest asset, then you start to ask some basic questions on how do we evaluate it? How often does it churn? Anything like that.
And there is no data that we can give you.
The only measure that we have of the health of our email database is did the email bounce, yes or no? Horrible metric.
So that’s what led me down this path.
Brian Carroll: Wow. So as you look at all this information, I’m still processing the cost of an email address, and then along with that the size of the data, and thinking about this is something marketers don’t think about, from my own experience.
What surprised you most as you analyzed the data from this research, and why?
Mathew Sweezey: I think what surprised me most was, in the combination of the work that we did with LinkedIn, the fact that people don’t realize the amount of movement inside of an organization.
What I mean by movement is that a person has both horizontal and vertical changes within a company.
So if we’re only looking at the measure of, is this email address any good for us, and we’re only looking at the bounce, all that says is, does this person still work at that company?
Which as a marketer is not enough information for us to know if they are still in our persona or not.
Because if the email address is still good but the person took a horizontal shift, such as they were the manager of business development and now they are a manager of support, it happens pretty frequently inside of organizations where people take horizontal shifts into completely different departments.
Their email address is still valid, yet that person is no longer in your persona, and you should no longer be targeting or talking to that person.
But because that email address doesn’t bounce, we still do.
The fact of horizontal and vertical movement is pretty powerful.
The second thing that I thought was really fascinating was the idea of growth and the idea of churn.
One of the things that we often don’t really think about is that our personas are actually a fluid set of people. It’s different day to day.
Meaning that there are people that leave that persona completely. Hence, they were in this managerial role and now they’re in a different department. They have just left our persona.
And then there are people that enter that marketplace completely. That’s the reverse, such as they were in support, and now they moved over into sales, hence making them a part of our persona.
So when you start looking at these growth and churn rates, what you see are some pretty large numbers, and they’re all double digit.
What I want people to realize is the power of math.
If your database churns at an average rate of 15 percent per year, that means your database is irrelevant if you don’t continually update it in 4.2 years.
That’s the decay rate. That’s how quickly your email addresses become completely invalid.
If you think about this, how many of us have just had these databases forever, and we’re like, yeah, we have 50,000 emails?
But that doesn’t mean anything if, on average, you’re churning at 15 percent per year. Each year it’s declining in value by 15 percent.
We forget that it’s a fluid set. This data helps us determine just how fluid it is and then gives us a good measure to be able to say, all right, we lost 15 percent of our database this year, but we gained 30,000 email addresses, which we know is 15 percent of all the new people that entered the marketplace.
So it gives us a much better way to evaluate our efforts and to actually understand this most valuable asset that we have.
Brian Carroll: As I’m listening to you, the first things you were sharing blew my mind from a marketing standpoint, because you’re right. We generally look at the health of our data based on, do emails go through or not?
So many marketers are concerned about deliverability, but then let’s check our own experience.
Those of you in our listening audience, how many of you have had your job responsibilities change in the same company you’re working with? And that doesn’t include the other companies.
So Matt, I’m thinking a lot about that, just even in my own data, and how I do marketing, because that is a whole other dimension. Vertical, horizontal, and then the other thing is, I’m thinking about, okay, what do I do?
We’ll get to that in a little bit. But I wanted to ask you, your report said that B2B marketing as we know it is fundamentally changing. Why is that?
Mathew Sweezey: There’s a lot of reasons, but the main reason, and I don’t want to go too far down this rabbit hole for two reasons: one, it can get pretty complicated pretty quick to explain in a few seconds, and two, I’ve got a new book coming out that’s being published by Harvard Business Press that really answers that question in complete detail.
But to give you the answer in short, what you need to understand is the idea that we have of marketing was created in a limited media environment.
Think about this. The idea of marketing has been around for a very long time.
If you look at media, and the media environment, really media has three fundamental aspects: creation, distribution, and consumption.
Now in the limited media era, there was only so much media that could be created, and it was only able to be created by those who had the capital to do so, which means businesses.
Then there was the distribution of media, which had to go through a preexisting distribution network, which meant you had to pay for it. So once again, distribution was limited to those with the capital, or businesses.
That then funnels down to how much media exists in the marketplace, because you only had businesses who can create it and distribute it. So hence the entire media environment is pretty much a captive marketplace by businesses.
You then take one step to the right, which essentially I prove that in my book when that step happens, and now we live in an infinite media environment where there is no longer a barrier to the creation or the distribution of content, equaling an infinite amount of content in the environment.
So what that means is all of the ideas that we have of marketing are created with a captive audience in mind.
We no longer live in an environment where businesses are the sole creators and distributors of media. In fact, what we’ve entered is a world where they are the extreme minority, rather than the predominant majority.
Because of that, because we have an entirely new media environment, just because you write a piece of content does not mean that someone will find it.
Now we have so much content, we’re using algorithms to connect people to content. Consumers are using algorithms to filter their content, and those algorithms are filtering out all of the crap that we used to make, because there never was a demand for that content.
It’s just what we could produce, and because there was a captive audience with no recourse, it was accepted.
But now there is a recourse and better options. The consumers are taking those better options.
That’s the underlying foundational reason why marketing is changing.
As I was listening to you, I was reminded of a question. It sounds like if we took away our marketing and our advertising, would our customers miss it?
Mathew Sweezey: No, they wouldn’t at all. They hate it.
Ask yourself. Here’s the thing that blows my mind. If you read any report that looks at the marketing industry, Gallup put out the trust in professions poll, and they’ve done so for decades.
Advertising professionals are one of the least trusted professions. The only professions that are more distrusted than advertisers are congressmen, lawyers, and insurance salespeople.
We are only one percentage point more trusted than insurance salespeople as a profession.
Brian Carroll: That’s depressing.
Mathew Sweezey: If you think about it that way, you’re like, why do we still do these things?
Well, we still do these things because we have such a long and vested interest in the idea that it works, when it really doesn’t work. It just worked because we were shooting fish in a barrel. They had no other recourse.
And now that they do, we can see, here’s one of my favorite things. I’m not sure if you’re familiar with one of my favorite marketing books, which is called The Cluetrain Manifesto. Doc is a coauthor with a bunch of other brilliant minds.
Brian Carroll: I’ve read it. It’s a terrific read.
Mathew Sweezey: In that book, Doc says that there is no demand for messages.
I was chatting with Doc the other day, and he said it’s not only that there is no demand, there never was a demand for messages.
And he takes it a step further and says, just think about this. If you look at ad blocking, there are over 600 million devices with ad blocking.
If you think about it this way, that is the largest boycott in human history, and it is boycotting our idea of advertising and marketing.
Brian Carroll: I can’t wait to read your book.
There’s the now, and so I would love to talk with you. There are five areas that I saw brought up in the study. First of all, email. Every marketer touches email, and those who email are impacted by this research.
So what can marketers do?
Mathew Sweezey: A couple of things.
This doesn’t really give a lot of tactics on what you do with email. Rather, it puts into question when should you ask for email, or what is the value of email in your organization.
So we have to take two steps back and think about telephone numbers.
Any marketer that uses email marketing now asks for an email address before a telephone number. So progression of communication channels.
Now we have other communication channels such as social, so maybe we should hold off on asking for email until a little bit later, because we know that email is much more finite than a social handle.
A social handle is usually a personal handle, which gives us personal access to somebody, rather than email, which is another level of communication.
So maybe it suggests that we should invest in social as much as, if not more, as a communication channel, just because it has a longer shelf life.
The other ideas are really just to help people understand the effectiveness that they have with obtaining email addresses and the fact that we need to realize standard best practices.
If you email somebody five times and they don’t respond, stop emailing them. Churn them out of your database.
Just because you have that email address doesn’t mean anything. You don’t own them.
At one time they thought you were relevant, but apparently you’ve proven not to be relevant in their lives, so take the hint and stop it.
Those are some tactics and ideas.
If you want to look at this in terms of a tactical approach, and you take this into the future, what you will see is, and this is just my assumption, but LinkedIn now being owned by Microsoft, LinkedIn has a massively powerful database.
To marketers, it is, I think, one of the most powerful databases for B2B marketers specifically, because it gives us employment data.
If you have ever been in any type of software sales scenario, or really any type of services sale, you know two major things.
You know that the moment your champion leaves a company, if you have a product that that champion bought, it’s now currently on the chopping block, because the next person that comes in is most likely to wipe out all the predecessor’s tools and choices and vendors and put in place their own.
Inversely, you know if that champion goes to a new place, that’s your greatest shot at selling them again at a new employment.
So just those two basic scenarios, employment has a lot to do in terms of an indicator of a sale or an indicator of churn of a previous sale.
Brian Carroll: When people switch roles or they leave a company, especially if they’re C-level, or as you talked about, a high-level decision maker, when they leave, change happens.
Mathew Sweezey: Yeah, every time.
In all the software companies I’ve worked at, that’s the number one trigger event for us losing a client. Number one.
Brian Carroll: Yes, I’d agree 100 percent, and I think what I’m hearing from you, and intuitively I’ve sensed this with my own email list, for example, and for our listeners, there are third-party providers that can help you append social data to the email addresses you currently have.
I personally use one called FullContact, and that is useful. There are others out there through Data.com, etc.
But when you have someone’s LinkedIn profile, or their Twitter, as people are mobile and they’re moving around, your data represents your relationships.
It’s very hard to start relationships over and over if people move from company to company.
So what I’m hearing from you, Sweezey, is that we need to think multidimensionally instead of right now, it’s like get email, grow our email list, and that’s not enough.
So how can marketers improve either their campaign or their data management? Any thoughts on that? We talked about a few ideas.
Or I’ll put it another way: what can marketers do to apply these insights and get better today?
Mathew Sweezey: That’s a harder question, just because this data didn’t specifically look at that, but I think just the basic things that I’ve mentioned.
First off, realize the amount of churn in your database and be aware that you’re reporting a metric to your bosses that really isn’t accurate.
So if you say that I’m basing my performance on a three percent engagement rate with my email address, you really have a much higher engagement rate with your core demographic than you probably think, because most of those people in your email database probably aren’t in that demographic or that persona anymore.
That’s one way to think about it: by scrubbing out all these people you actually can show your effectiveness a lot better, which is kind of crazy to think.
The others are just, realize that email is a very specific type of communication, and it’s applicable. Don’t discount this fact.
It is the number one communication method for business, and it is the number one communication method that business is done through.
But that means when business is applicable. As if you just have people in your audience, and they’re not actively in a sales cycle, email can help you keep up with them, but don’t discount all the other avenues that you can keep up with them.
So that’s just a couple of things.
Brian Carroll: That’s awesome.
As you look at this research, what are some questions you wished you could have dug deeper into, or maybe future research ideas related to this?
Mathew Sweezey: The amount of work to get this data, I will never ever want to continue this research.
It honestly was, due to the size of this data, we’re looking at 15 million data points over a span of six years, running some pretty heavy analysis, combining multiple data sets.
I don’t ever want to rerun this.
I think the numbers are here, and the main points are, in our given environment, I don’t expect people to switch jobs, or that process to change too dramatically.
So I think these churn rates, and I think these growth rates will stay pretty consistent for a pretty significant point of time.
The total database sizes, those are pretty accurate, and I imagine they will change, but we’ve got the growth rate and the churn rates to kind of be able to mathematically predict with pretty high degree of accuracy what they will be at any point in time.
I don’t ever really want to rerun this data, but in terms of future data, oh my god, there’s so many other things I want to look at.
But in terms of just mapping out size of personas, and the churn and the growth, I’m pretty sure this is probably the best that we’ll ever see.
I don’t really see any of the players that created this data wanting to actively rerun it. It’s pretty much what we’re going to get.
Brian Carroll: Well, I can appreciate that for all the reasons, and you just have a really cool gig, Sweezey.
I want to give our listeners a way to keep up with you and stay in contact, but before I do that, what’s the question that I missed asking you or that you wished I would have asked?
Mathew Sweezey: How about this one?
We’re all marketers that listen to this podcast, right?
Brian Carroll: Exactly. Tell us about ourselves.
Mathew Sweezey: Let’s talk about ourselves.
Here’s one of my favorite, most fascinating statistics that came out of this. Check this out. You got kids, Brian?
Mathew Sweezey: Did you ever have hamsters?
Brian Carroll: Yes, we did. For a period of time, my daughters did.
Mathew Sweezey: And gerbils, right? Same thing.
A gerbil will live longer than a marketer will stay in their current position. That’s right.
A marketer’s tenure on average is 2.4 years. The average life cycle of a gerbil or a hamster or whatever is three years.
So if you buy a gerbil and put it on your desk, it will live longer than you will keep your job.
Mathew Sweezey: And by the way, in comparison, we have the highest churn rate of any profession. Marketers. Salespeople are second. Marketers are first.
Brian Carroll: Again, we’ve always known that it’s tough. It’s hard. This is why I do what I do, is I want to help marketers do better.
And if we’re moving, that we’re moving for positive reasons. It is a challenging job, but also I love it because we get to learn so much, and ongoing learning.
But man, just hearing about that churn, I think for all of us out there, we’ve got to get used to dealing with change, because change will happen to us, including at our jobs, right?
Brian Carroll: So what’s the best way for people to stay in touch with you, or to keep up with your research?
Mathew Sweezey: Funny enough, I’m easy to find.
I took my first name, which is Matthew, and that first letter M and threw it on my last name, which is Sweezey, so I am @msweezey on Twitter.
If you read that real quickly, I am Miss Weezey for eternity on Twitter.
I also do a lot on SlideShare. Those are primarily the two places. I put most all of my research up on SlideShare, and I tweet every now and then. I’m not super active, but those are the two best places to catch me.
And then I speak all over, so you’re likely to go to a conference and see me, or read some stuff I’m writing. I started writing for Forbes recently and some other places.
Brian Carroll: Fantastic.
Well, I always love talking with you, and I learn a lot. I’m sure our listeners and readers have as well. Thanks again for joining us.
Mathew Sweezey: No worries, man. Thanks for having me.
The B2B Persona project from Mathew Sweezey