In this episode of Bad Decisions with Jim Banks, we sit down with Fred Vallaeys, CEO of Optmyzr to explore the evolution of the advertising industry and the role of AI in shaping the future.
Join us as we delve into Fred's fascinating journey and insights.
Topics discussed include
- The importance of continuous experimentation in Google Ads.
- Transitioning from in-person conferences to online PPC town halls.
- The potential of AI to preserve industry knowledge for future generations.
- Challenges and frustrations with machine learning in advertising.
- The significance of understanding and providing value to customers.
🧰 Resources mentioned or used making this episode 🧰
I have one small favour to ask, as you listen to the episode would you please follow the show on whichever platform you prefer to listen to podcasts on.
If you like video then I suggest YouTube or YouTube Music is your best choice and you can subscribe to receive notifications of future episodes.
For audio, find and follow the podcast on Apple, Spotify, Amazon Music and wherever else you listen, just search for Bad Decisions with Jim Banks.
Important Notes
This is Digital Marketing Stories on Bad Decisions with Jim Banks, the weekly podcast for digital marketers who want to learn from the best.
New episodes are released every Wednesday at 2PM GMT where you'll get digital marketing stories and anecdotes along with bad decisions and success stories from digital marketing guests who've been there and done that in many of the disciplines that make up the discipline of digital marketing.
The podcast has been been powered by Captivate and all the ums, and ers have been removed using Descript to make your listening more enjoyable.
Some of the snappy titles, introductions, transcripts were created using AI Magic via Castmagic
Disclaimer: some of the links on the show notes of my podcast are affiliate links.
If you click and buy from any of these links, I may receive a commission as a result of your action.
To today's episode of Bad Decisions with Jim Banks. I'm joined today
by Fred Vallaeys, who has been a friend of mine for quite a
while. He's the CEO of Optmyzr. Previously
he was an evangelist at Google. And we're going to talk about both of
those scenarios today. But
I'm delighted to have you on the show. Fred, thanks for agreeing to kind
of come on and talk to me. Yeah, I mean, how could I say no
to you, Jim? Such a great friend for such a long time. So thanks for
having me on your new show. So let's go back to the
beginning. How did you get into being a digital marketer in the first place? How
did you get your job at Google? Well, the real backstory is
that in 1998 I was at Stanford University and I wanted to make a
little bit of money and I figured out that blockbuster, the video
cassette chain, was selling these big popular movies.
They would sell these cassettes rather cheap compared to what they would cost on the
primary market. But I needed people to know that I had
these cassettes. So I found goto.com and I could buy
PPC clicks. And I was like, oh yeah, that's pretty cool. So right here's a
hit movie. Like let me buy some keywords for the actors names and then let
me lead that to a listing on eBay and sell these cassettes. So that was
really my first foray into PPC.
Now, buying a few cassettes at your local blockbuster, you can imagine,
like, I wasn't raking in the dough, right? I was selling a couple of cassettes
here and there. And then, you know, I joined a
consulting company in 2000 after I graduate from Stanford. It's
sapient, but the doc combo bubble is at its peak. It's starting
to implode. And fairly shortly after joining
Sapient, I'm on the bench and then I get laid off. And so now it's
2002 and I'm looking for a job and there's this
like weird little search engine that seems to be gaining
momentum. It's called Google. And I'm like, I
don't really get it because I'm used to going to excite and
Yahoo and like these portals and like the homepage is full of stuff that you
can interact with. And then there's this search box on Google.
But slowly I start catching onto the fact that the search is actually quite good
and maybe that's why people are talking about it. So I'm like, okay, maybe if
I can get into this company, that'll be cool.
So I was able to get into Google because they needed someone who spoke Dutch.
I'm originally from Belgium, and so I get
brought in. And so that's
then I basically started working in Google Ads in August
of 2002, but started in PPC before that.
And then when I was at Google, that's when the light started shining. And I
was like, oh my God, there's so much money going through these ads. And
I started actually dabbling a little bit more in affiliate programs.
And it was funny because I was working at Google and I was a big
advertiser at Google, sort of this unusual dual
role. And that led into me being an evangelist.
Yeah. Because, I mean, it's quite interesting. You talk about the kind of the go
to. I mean, that was my kind of first foray as well, was like buying
traffic for a penny a click, right? And you look at what the cost
of traffic is now. It's like crazy money. And you think, wow, imagine if you
could go on and buy your traffic now, one, if you could even buy clicks
first off. But, yeah, I mean, if you can buy them for a penny.
I remember all the advertisers were outraged when they kind of raised
the floor from one cent to two cents. Right. And everyone went
ballistic and said, how can you possibly charge two cent for a
pig? Exactly. I mean, those were the kids. And then,
no, and I'm also thinking, like. And then we were doing bid jamming,
right? Because it was this whole transparent auction mechanism and you knew exactly what the
second person was bidding. And you're like, I'm gonna, I'm gonna mess with them. I'm
gonna raise my bid to just one penny below. But then your whole day was
not marketing. It was like literally watching the bids because people would lower their
bids and now you'd be the one jammed up to the top.
We've come a long way for sure. Yeah, because as you
say, I mean, a lot of the time, a lot of what we were doing
was forcing our competitors to bid an awful lot
more money for the traffic that they were buying. Right. Because
the way it worked was whatever they were paying. So if they said,
I'm prepared to pay $15, and in a lot of cases, lazy
advertisers and agencies would do that, they would say, hell, I'm going to pay
$15 because I know I can still make the numbers back out on the back
end for me. But if the second advertiser bid
$14.99, then they would be forced to pay $15. But
if the next one in the auction was like $0.05. They would only
pay six cents to actually be in that position. And
its sort of like, it was, again, quirky the way the
auction model worked. But, yeah, I mean, as you say,
it was always sort of a strategic sort of
game that people played. Right. And in some respects, I mean, I know that
youre current business optimizer is a SaaS business that
helps marketers with that sort of
automation and tracking and analytics and just getting
everything dialed in. But way back again, I don't know if
you remember there was a company called Gotoast. It was one of
the very original bid management tools that existed way back
in the day. I remember going to one of the industry
events, and the guy, I think his name is Dave Carlson, was the guy running
it. And I basically said, look, Dave, I will put my
people against your machine any day of the week. I think my people
will understand so much more about the clients that
we're working for and the way in
which everything works. So it's much more than just what
are you prepared to bid? There was so much more strategy to
add copy and things like that. He never took the bet. I wish he
had, because I would have loved to have seen whether it kind of like whether
that would transpire or not. And in some respects, I mean, if you kind of
fast forward to exactly where we are now, I still think we're almost in
the same situation now with AI. Right. Because,
again, I know that you're a big, a big, big fan of
AI, and in some respects, I'm a big fan of AI as well.
But I think the challenge is that you've got
to layer in what you know about things into the
AI. And I don't think there's, there's none of that opportunity. I mean, I
came off a call with my Facebook rep just recently, and we were
talking about, I know the demographic of my clients, and at no
point in time has Facebook ever said, what's the demographic of your
client? What's your ideal customer avatar, what's their
makeup, what gender, what age groups, what are their interests, all that sort of
stuff. None of that. It's almost like, well, we're the only people that could possibly
know what people are interested in, and you haven't got a
clue, and I'll just be interested to kind of know what your thoughts were on
it. Well, I mean, there's so many fascinating
topics in that. Right. And I completely agree
on the premise that humans plus machines are better than the machines alone or
the humans alone. And I think the other thing that we
keep saying is we're not competing against AI, but
we're competing against other advertisers who figured out how to use AI and
technology better. Right? So it's, again, that human plus machine sort of angle.
And it's fascinating too, because when you look at meta and Facebook, they
sort of grew up many years after Google
AdWords, and machine learning was at a much further stage. And
so they could really come in and they could say, listen, just kind of tell
us what your website is and we'll figure it out. We got it from here.
Whereas the Google Adwords advertiser came in when machine
learning was nascent. It didn't really work very well. And
so we had to do everything from choosing the keyword to writing the ad. And
it wasn't just a keyword, but it was every spelling mistake of that
keyword. And then for each of those
individually, we had to set bids and it was all of this complex
manual work. And then as machine learning got better, Google sort of
tried to make that shift towards, oh, let us figure it out. And that's where
we are today with performance max campaigns. But there's
this underlying frustration because we are used to that
control. We want that control. We know we can do things better in some cases
with that control. And even if it's as simple as, like you're saying, right, like,
what is your target audience? Well, sure, Facebook and machine
learning, they'll figure it out eventually, but are they going to spend
$10,000 of your budget to get to that insight
where you could have just gone in and said, okay, we already know this, you
don't need to spend $10,000 of mine to get there. Like spend that
$10,000 on the audience that I can already tell you works better. And
so that's sort of the interesting dilemma. And I also think
that the ad platforms, they're really making a
push for democratizing advertising, if you
will. So they want to make it as easy as possible for anyone to get
decent enough results to do well with this. If you do well
enough, you're going to keep investing in Google Ads. And that's a good thing
for Google because it creates auction depth, it creates auction pressure, so they make
more revenue that way. But for us, as more advanced
advertisers who know all the controls that we should be taking advantage of, it's
frustrating when it gets taken away for the sake of giving
a level playing field to everyone else. Yeah. Cause I think
one of the challenges was always things again. I mean, I think I talked
to narva about it. One of the challenges was always, there
will be some advertisers that have got YouTube and Google display network
and historically Gmail campaigns completely dialed in and working
for them. And it's almost like Google have taken away
the secret sauce that they've had and given some of that secret sauce
to everyone else by introducing these, if you like, watered
down versions of what was working before.
Again, I think a lot of advertisers either ran
YouTube, GDN got success, or ran YouTube, GDN
had horrible results and stopped doing it. Google didn't want that. They didn't
want people to be able to pick and choose which part of their
ecosystem you played in. They want you to be able to
play in all of it. Right. Because that way you're going to spend more money
in theory. And I just was, again, I've always
been sort of fascinated by sort of the context
that, again, some elements of AI I love. I
absolutely love that. There are elements that if you have like
a static image and you want to be able to create a video, you can
kind of create a video from that, like really easily now. Right? Whereas historically that
was, you'd probably have to go to a design agency and spend thousands of
dollars to get a video created. If you wanted like a six second
YouTube short, it used to take forever to get it right. Whereas now, with
the kind of the YouTube builder, you can basically just say,
here's a couple of texts, here's a couple of pictures, here's a couple of call
to actions, and they'll make the video for you, which again, I think they've given
you templates to be able to do that. So I think more and more advertisers
are in a position to be able to create assets now than ever
before, which that element I absolutely love. Right.
But as you say, like, I think, I think you should be able
to kind of have input into, I mean, like with Facebook,
they have this thing where they do the optimization and they
give you a score they started. I almost think they must
collectively be sort of meeting somewhere and talking about what shitty
ideas can we come up with that we can implement this and force upon our
appetite? Because they're not going to turn their back on us. We're too powerful.
No, they're not going to kind of walk away and take their money and spend
it elsewhere. Right. But it's horribly
frustrating sometimes. Again, I mean, like, we're a
performance agency, right? So we get paid on results. So we have clients that are
cutting back on their spends now because they can't kind
of make things work, they can't make things back out the way they used
to. Right. And we kind of pinpointed it to. Most
of the changes have come when they've introduced sort
of elements of AI that they've mandated have to use this,
or they basically said this is the best practice. Now,
that's, again, made some elements of the performance
really not that well. Again, if you look at it,
not all businesses are the same. Not all businesses are
small businesses, not all businesses are enterprises. And I think they're
trying to shoehorn one set of rules into
to fit all advertisers just because they're all advertisers and they're all
different.
Exactly. That sort of, you know, everybody goes through
PMAX, everybody advertises across all of
the platforms that, that touches or the surfaces, I guess.
But it takes away that capability for the experts to,
as I call it, unlevel the playing field to take advantage of that secret
sauce. And then there's also the bigger question with AI and
these, these automation campaigns
from Google, like, to what degree did your
success in a Gmail campaign teach the system that's now driving
performance Max how to do it for everyone else? And it's almost
like, well, I invented that secret, so I was like, why are you giving that
to everyone else? Now? What's in it for me?
And with AI broadly, because it's scanning basically the whole
Internet. And like one thing, you can go through a script and you can say,
sorry, you can go to GPT and ask it to write a Google Ads.
How does it know how to write an ad script? Well, because there's a handful
of people who've written a lot of scripts, myself being one of those.
And so clearly it's learned something from me.
Now, I'm not particularly upset over that. I do
sort of equate it to, if you're a student in school,
you read books, you look at examples that others have written, and you learn from
that. It's just that GPT happens to be a much quicker and faster learner and
can ingest much more data and it's not necessarily violating
copyrights. But I think it a broader question for humanity, like, where are
you going to focus your efforts if you know that automation is just
going to take the best of what you just did and apply it to everyone
else? And so the thing that you have as an agency, like your secret
sauce, is that still the thing that you can sell, or is the thing that
you innovate faster, you test faster? Like, I think the value
propositions that we've had just need to be kind of questioned
and potentially reevaluated. Yeah,
it's funny, like, have you got reactions
on your computer? Because I don't know how to turn these
off. If someone can teach. I should ask
GPT how to do this. It just frustrates. Like, I'll put my hands
behind my. Back if you go up at the top. So,
like, I presume you're on a Mac, right? I
am, yeah. So up at the top there should be like a little sort of
green icon with a camera on it. And if you click on
that, that should tell you which camera you have chose and
you'll see that there's reactions. If you turn reactions off. That's
right, it's off. Thank you, Jim.
I might leave that one in the final edit, but you never know. I'll probably
chop it out.
So, Fred, like, so you spent sort
of, you went to Stanford, you did a bit of
affiliate marketing. To all intents and purposes, you then joined
Google and you worked for Google for a period of time. How long were you
actually at Google for in total? So
I was very close to ten years. And normally I would have stayed
around longer because you generally get a nice gift at a ten year anniversary
at a company. But I was led to understand that it was a
paper printout of one of the Google doodles for the Google ten year
anniversary. And I was like, yeah, I can print it out myself at home.
So when it's time to go, it's time to go. So
you're a pre IPO Googler. Right. And again, I talked
to Nava and I basically said, I love the pre IPO Google
more than the post IPO Google. Right. Because I think what
their objectives were, what they were trying to achieve as a business were very different
then. They were very accommodating of feedback
and, you know, actively sorted out again. I
mean, if you think about it, all of the agency partners like me, who back
in the day sort of sat in a room with their engineers, right, we were
basically unpaid consultants. We were helping them to
improve their product. Right. Unfortunately they did, which made it
better for everyone. Right? Again, it would have been nice if they kind of
had chucked us a bit of cash at the time for, you know, for our
time. I mean, we get invited to research events now
and we get, you know, 80 pounds for kind of doing a 45
minutes, you know, feedback also. But hopefully you
made some money by being an agency and by like being able to say, hey,
listen, I'm one of the people who got to be at Google and influence this
product, so I know it better than anyone. Yeah,
I always, I always say to people, I basically helped create the, my
client center and Google Ads editor because again,
I sat in a room and I said, look, I'm going backwards and forwards. At
the time I was going backwards and forwards to, I think, Hong Kong. I said,
I'm going backwards and forwards to Hong Kong. It'd be really good if I could
download an account, do some work on the plane, because there was no Internet on
the plane at that time. Do some work on the plane and then upload the
work at the other end. When I got there, they went, yeah, that's a good
idea. And that's when part of where that came from, when I
said the same thing with my client center, I basically said, look, I've got
50 8000 accounts and every single one I have to log in. It's like
a complete pain. It would be great if we had a toggle button. We could
just toggle in and go in and have a drop down that would show us
everything, kind of what we had. And yeah, that's a good idea.
So I say I had some input into making that a kind
of better product. I'm sure I wasn't the only agency that did, but, you know.
For sure. Thank you for putting that feedback in. Right. And it was. And I
think Google for a long time did continue to listen to advertisers and to a
degree they still do. But the matter of the fact is that once you become
a public company, you become beholden to a whole set of
investors and things will change.
I think Larry was afraid of that and didn't really want to go public. But
then at the same time, you have this whole contingent of engineers and
product managers and you need to keep them happy, you need to keep them on
board, and they have choices in the Silicon Valley, there were so many
other startups, Facebook was coming about,
and if you didn't give them a financial incentive through
an IPO, they would have all just left and Google probably wouldn't
have been in the shape it is in today. It would have been a far
less impressive company. Yeah, it's funny, I always remember
one of the very early Google Ads, again, you mentioned there, we hope you got
some money. One of the things we had in the early days was there was
an agency kickback. We used to get 15% discount
on the media that we spent. Right. For traffic.
So if we spent $1,000 on media, we only
spent. It only cost us $850. But we had to
bankroll the media, so we had to cover the cost for that.
So we were kind of on the hook. So at the time, I mean, our
turnover was really high. Our profit margins were quite low. Right.
But for us in the
world, yeah. I mean, it's
kickback on all the media spend. I mean,
really, they kind of did it because they needed to compete with
tv, radio and print. And that's what happened there. Right. So all the agencies
got kicked back on tv buying, and
Google wanted to kind of compete with it. And what happened? I mean, again,
I'm trying to think. I think it was like 2007. I think maybe when
they took it away and basically they said, well, you
know, we think it's creating an unleveled playing field because
some agencies are getting it and some agencies are not getting it, so we're taking
it away. I'm like, why don't you give it to all agencies then, rather
than leveling the playing field against us, why don't you level the playing field by
giving it to everyone? Oh, no, we don't want to do it. But
then, by that token, I guess if you were an in house company and you
didn't use an agency, then you would have paid the extra 15%.
And I think that was always the argument, right? Google tries to be
fair by running the ads in an auction. And, I mean, you were there,
too, when it was a CPM priced model. So the initial
ad words was, you'd buy ads on a CPM basis and they'd show at the
top of the page. Yeah.
I ran, and he's like, hey, we're going to make sure the ads
are
relevant and look at the CTR component of the ad, and that's going to be
the thing that ranks it. And then very quickly,
all of these CPM brands, or CPM
ads from big brands at the top of the page, they start making less money
than all of these, like mom and pops bidding CPC clicks,
and they're like, whoa, what's going on here? Like, that's really unusual. Like, why?
Why is General Motors paying far less for their
ad than Jimmy's car dealership?
Yeah. And that's when the light went on for Google. And they were like, okay,
everybody needs to be on the CPC advertising system.
But then to make that fair, you couldn't just sort of
give these discounts to some people and not to other people because then
the auction would get out of back. Yeah, I mean, I don't know if it
exists now, but I think in certain markets there
probably still exists where there's some form of agency
incentive to promote or something. It's sort of unspoken.
Right. Even in 2007, when they got rid of it, it was like,
well, never really had this, but we kind of did and we
don't want to talk about it. But now it definitely doesn't exist.
Like, if you thought it didn't exist before, now it definitely doesn't exist. But there's
people like you who actually had that discount. So clearly it was
around. And I also think it was different between Europe and the United States for
a while. It was deprecated in some markets before
others. As I understand it today
we're not able to get anything from Google. Yeah,
I mean, obviously when I was getting the discount, I was able to use it
to kind of recruit more people to provide better service to the clients I
had get more clients. So for me, there was a kind of like an added
value to the relationship that I was bringing
to the table. And again, fortunately for
me, I was in a good position that we weren't just, I
mean, I know some agencies, that's all they were charging. They were just charging
the kind of kickback. They were just getting the money from Google. And basically,
to all intents purposes, the clients thought they were doing the ads for
free. Again, some big agencies
would use the PPC ads as a way of
getting tv. So we'll run your PPC for free if you give us your
tv ads. And some people gave them their tv spend
on the back of that, which, again, I thought was
quite interesting. That's what they did. And in terms
of bad decisions, I would say that
probably falls in the category of a bad decision. Right. Like, if you start
basically undermining the value
of what you're charging. Right. So if you're an agency, you're basically making the client
believe that you don't pay us anything yet. We have all this expertise in
house and we do these amazing things, and then Google pulls the rug from under
you and that kickback goes away. Now you're there and you have to explain
to the client, well, actually, we do have to charge you 10% of
ad spend, and even then we're making less money than before. So, like, you're not
going to get as much service.
Yeah, I mean, we lost a couple of clients at the time when, when that
sort of transition happened. But I know there were quite a few agencies that kind
of went out of business because as you say, they talked to all their clients
and said, hey, I'm going to have to pass on some of the costs that
Google's imposing on me, I'm going to have to impose it on you. And they
basically said we'll just go with another agency. So that's what they
did. So they lost those clients.
Yeah. And
optimizer, when we think about how we run business, it's
really, it's about making sure our customers
are happy that we have the subscriptions in place. All of
these incentive programs that exist or relationships with the
bigger companies, that's not what you should
base a business on because that could be pulled away at
any moment from you. Whereas if you have a happy user of
your software and you keep building better products to keep
them happy, that seems like a much that's within our control.
Now, of course there's economic factors, right? So a company may have
a directive from the top saying, hey listen, we need to cut cost, go
and figure out where you want to cut. And maybe they decide to cut the
optimizer subscription, but it's not because our
product wasn't good enough, right? The product continues to provide
value, improves value as we start integrating
performance, Max, as we start integrating social platforms and all the new things
that Google is doing, there's a ton of AI that we put throughout our platform.
So that's how we really think about protecting our business. So that
these, whatever Google decides to do, whatever Microsoft decides to do,
that's not going to kill our business or even be a significant
impact if something happens. Yeah. I mean,
again, so I've been an optimizer
customer for quite a while, right. Love the product. I
mean again, I think when I first started looking at it,
I think I was working at cheap flights at the time and I've told
the story where I hadn't even taken my jacket off and I managed to kind
of get them to agree that they were going to kick the existing bid
management tool into touch, right? And the reason that they were going to kick it
into touch was because it was using a sort of, you know,
the company basically had all the travel companies as
clients, right? All using the same software, all doing the same
thing, all making bids, adjustments once a day, right. That
was, that was their kind of their motors operandi. And I'm thinking, well it
basically means like if I'm bidding, say fifty cents and then somebody else
comes in and bids 51 and somebody else is 52, before, you know, we're kind
of up there. And then you might go, right, I'm going to bring them all
back down. Right. And then you start that process again. And it just, it
was like a complete, never ending ladder. Up, down, up, down, up,
down. Right. And it was based on the number of keywords you had in the
account. Right. When I looked at it, we had probably
75, 80% of all the keywords, had never had an impression,
never had a click. But they went and made a review of
the bids and made an adjustment anyway. Right. Which to
me seems crazy, but, you know, so again, I made the decision
to kind of to keep that into touch. I was looking for an
alternative solution at the time and an optimizer. Again,
I think partly because of your
time at Google, I figured you would absolutely know what this was
all about. Again, I think you'd been quite
prolific at the time in writing community
stuff. You put out your knowledge
into the public, which again, I think is a phenomenal
thing that everyone should be doing. They should be taking what they know and kind
of cascading it out there to let people know what they're
capable of. Again, I think a lot of people will hire you based
upon those sorts of things rather
than necessarily what it says on your website. Yeah, no, I
totally, I couldn't agree more. And a little anecdote.
So my wife, now, at the time, she was a product
manager or product marketing manager at Google, and she was running
some feedback sessions with agents for an
event. And she's like, hey, can you come in? And like, as sort of the
expert help guide the conversation, we're going to have two groups. We're
going to have a group of sort of the smaller agencies first, and then we're
going to have a group of the bigger agencies. And one
of.
Sorry, all good. Yeah.
And one of the first things we asked them was, how do you think
about sharing your knowledge with the community?
And in the group of small agencies, they were all like, well, we can't because
it's my secret sauce. And like, if I tell someone else what we're doing, like,
everyone's gonna do it, and like, then I'm gonna not have a successful
agency. Okay, fine. We go on to the next session, the big
agencies, and same question. They're all like, oh, yeah, we have, like, people
blogging and we have people doing podcasts and we share everything we know and, like,
it's driving so much business for us. And so again, clearly,
like, the big agencies, the ones that had become more successful were the ones that
were willing to share. And like you said, they get clients because
people judge you based on the expertise that you're exhibiting
in that way. And then, like, the point that you're making about
a bid management system, I don't think the expectation is that you're
going to hire an agency, and the agency is going to do exactly what they
did for everyone else, but they've exhibited the expertise
and the thought process, and so they can apply that and do something
really unique for your business and help you grow. And so,
yeah, I'm like, it's social arbitrage, right? Like, if you know stuff
because of the space that you work in, the types of clients that you have,
like, leverage that into gaining more clients.
And that's the arbitrage that you do, is your knowledge turns into
money through more clients. So don't sit on it, don't hide a bit. Because,
by the way, if you like, you're not the only one who figured out
how to do that secret sauce. Somebody else is going to talk about it. And
guess who's going to get that next client? Well, it's the person who was public
about it, who talked about it. Yeah. And again, I always say
that there's no such thing as a secret sauce.
I mean, it may be a better process, but
again, nobody's. I don't even think Google knows the
algorithm. Right. There's probably. There's probably a couple
of people that understand it at a really super granular level.
Right. But most people, again, a lot of it's trial and error.
I'm not a fan of trial and error. I mean, I don't want to be
testing things. I want to be, like, running things that work. Right. And I think
that's. Again, I think that's where some agencies can kind of really kind
of cut the mustard, is they've got the track record of being able to kind
of go, we got this process of bringing things in, which
means that you don't have to spend a lot of money trying to test stuff
out. You don't have to spend ten grand. While we work out how this
all works, you can kind of get to success much quicker as a
result of following a sort of a very
systematic thought out process that talks about tracking
analytics and all that stuff. And
I would argue that you have two types of clients. You have the client who
comes in and demands that from you says, like, listen, we don't want to go
down the path of testing. We just need results right now. And what you said
makes total sense, but then you get some clients who are like, hey, Jim, you've
been doing an amazing job. Like, let's give you $10,000 a budget
to maybe try something new. And that's great, because now through that
trust that you've built, that opens up your ability to experiment and sort
of get that knowledge that you need for the next phase. Because face it,
right, the Google Ads, like, sometimes I wish it wasn't
changing as much as it did because it's a lot of work for my team
to keep up with all the changes that Google's doing. It's a lot of work
for agencies, but we have to experiment. We have to figure out,
okay, given that something in the algorithm changed, which Google
may not be telling us, or given that there's now generative search results,
sure, that's going to have an impact on how people interact with ads. That's going
to impact how we message in the ads, that's going to impact how we do
bidding. And all of these things we have to test so that we're ready for
that next wave of innovation and we continue to have
success with the ads, just like we did in the past.
And one of the things I really like about you as
a person, but also kind of like, just, again, just optimizer
as a company, is your involvement in the
community. So you run your PPC town
halls. What was the kind of, like, what made you think about sort of setting
those up in the first place? Well, so
I know you from conferences, so obviously I was on the conference circuit for a
long time, and then the pandemic hit. And as a
result of the pandemic, all of the in person stuff went away. And that
was a huge part of my job. I was like, what am I going to
do now? And so Zoom was just up and coming, and
everybody started to do these Zoom webinars. I was like, yeah, sure, let me do
Zoom webinar. But then everybody was doing
them. They started looking so boring, so ugly, like the
four little screens next to each other. I was like, let's do something better. So
discovered streamyard, much like you started
experimenting a lot with nicer studio setups and, like, better
sound and just making it kind of giving production value. And
that became the replacement for speaking at conferences. And then it was
amazing, too, because, you know, you go to a conference in the search industry
and, you know, a good audience is 200 people in
your room. I mean, sometimes you get a keynote, you get a little bit more
than that. But if you're in the PPC track, like listen, there's just not that
many people. And here I can do something online where I don't have to travel,
fly to New York for a day, where I don't have to get a hotel,
and I can literally out of my house in an hour of my
time, interview some interesting guests, and we have 700
people watching or listening. Much more of an impact. And so that was
the whole thing. Then like, yeah, let's double down on this. And then the town
hall format was initially,
I guess it was election time and these town halls were happening. I was like,
oh, yeah, people should be able to ask questions. We need to do this live.
We're going to have a couple of experts now. We've gotten away from the
town hall format, so there's actually a rebrand coming to make it more in
line with what it really is. But just the quality of guests
that we had and you've been on and many other grades,
and it's fantastic. I mean, we just have a conversation about what's on your mind
in the industry today. How are you dealing with it? How are you working with
automation? How are you handling PMAX? We've had googlers come on.
We've had people from Microsoft ads and they all just share
very candidly what's working, what's not working. And I think
people want those conversations. They want to be a fly on the wall
in that room and learn from it. Yeah. And I think what a lot
of people don't realize, I mean, again, I think this
is probably episode 21 or 22 or something like that of my
podcast. I mean, it's very time consuming to kind of create content
like this long format with guests. I mean, you got to
invite the guests and get everything set up and everything. And
again, for me, I'm very passionate about it. I think, again, I want to
help educate the next generation of digital marketers that kind of come
into the industry to learn from some of the people that I get. I've spent
all my formative years in the industry learning from and
hanging out with and everything else. Right. Because eventually we're all going to
go, right, I'm done now. I don't want to do this anymore. Right.
And, yeah, and I just think that some, in some respects, I
kind of want it to be there as a kind of in perpetuity because if
you upload it to YouTube and stuff like that there forever. Right. So, you know,
at some point in time in the future, people can go in 20 years time.
Look at what this old gig, this old clown is talking about AI
and. What is, and the topics are going to change. Right. But I
very much agree with what you're saying. And so from my perspective,
one of the things in PPC town hall was we would bring in at least
two guests, and I would always try to get one guest who had some name
recognition, who I was, a known value, and then give a
platform to someone who was a little bit newer, who maybe hadn't done webinars in
the past. And for me, that's just maybe selfishly,
but I want to be the one who launches that person, who gives
them the opportunity to become a brand in the
industry, like you and me. Because eventually when they become the
brands, like, I want them to be my friends, I want them to remember me
fondly, and if I need something, have them help me back.
Right. So, and that's what community at the end of the day is. It's about
like, being nice to other people and helping them in ways that you eventually
want to be helped and not hogging all the credit and the stage
for yourself. And then
as far as you and your legacy, let's make the virtual
Jim banks, right? Let's turn you into an AI avatar.
Let's feed it all of the things you've written, all your
podcasts. And that's the beauty of AI, is that
we don't have to really die anymore. I mean,
sure, our physical presentations will die, but everything we've
said, the way we say, the way we look, that can all be
digitized. And someone in 100 years from now can have a
conversation with the virtual gym banks. And sure, your ideas on
bid management may seem outdated in that 21 30,
but they can have a conversation. They can ask you why you did what you
did, and that AI will probably represent
you pretty well. Yeah. And it's funny like you're talking about that. I
mean, some of the, the books that I read when I
was starting out in sort of like marketing and digital marketing and
advertising, trying to write good ads and everything. Again, I'm reading
books from like Claude Hopkins from like the
1920s, right? He was a kind of door to door salesman. But
if you read the book and try and put your
2024 brain on it, you can really see the context
of what he was trying to achieve. I mean, scientific advertising was one of his
books, you know, and he's talking about using primarily coupons
to try and track down what success you have by launching a
particular product in a particular location. You look at it and go, well,
really, the modern day coupon is probably a QR code or
something like that, you can think of what they were thinking
of back then in today's terms, and still go, well,
that strategy would still hold true today,
even though it's nearly 100 years old.
Exactly. Has remained the same. And the
means that we used to achieve that end, that's just the
thing that's evolving. A little interesting stat that
I recently found, but 60% of the job
titles from today didn't exist
100 years ago. And so in that example that you just gave,
like digital data science
or digital advertising analyst like, that would not have
existed as a title. But what they were trying to do and what they were
trying to achieve, that's exactly the same thing. And I also think it's
fascinating that to some degree, as more of the
data analysis is being handled by machines, which, by the way, machines are really
good at data analysis, much better than humans. So we can actually go back
and figure out, well, it's not about how to track the
coupons, but what should we say in the coupon? Like, what is it that's
motivating people in 2024 to want
to buy this product? Is there some recent news
about the science of food? Does that
change how people think about food and nutrition? And how do we position
our coupons to speak to that newly evolving
perception in the market and what consumers are going to care
about? And that's the marketing we can now once again focus
on, because tracking the coupons is handled for us.
Yeah, funny. I remember back in 2006,
not long after I sold my original agency, I went over to,
we opened an office in Hong Kong, and we were on exactly the same floor
as Google. Right? We were in the international financial
center, the one that kind of appears in one of the Batman
movies. I'm not sure which one it is, where he stands on the top of
it gets hooked off by Morgan Freeman in a helicopter.
So we were in that building, but I went to Shanghai for a
conference. I went to the ad tech conference that was taking place in Shanghai
right now. I landed at the airport again, huge, huge
airport. Never been there before, you know, and I'm thinking, I
don't know where to go, right? So I kind of walked outside. Somebody
said, oh, you need to get the bullet train into town. So I got the
bullet train, you know, the kind of maglev train that
kind of goes at 400 km an hour straight into Shanghai in like next
to no time at all. But I got off at the train, I'm like, I
have no idea. Everything's in sort of Mandarin I couldn't understand any of
it, right? So I got back on the train, went back to the airport,
and got a taxi from the airport to my hotel, because I thought, I'm never
going to find my hotel in a million years.
So that was kind of a bad decision, getting the train in the first place.
But then I got into the taxi, and fortunately, the
hotel had sent me a QR code. And when I got into the taxi, I
just held the QR code up to this sort of reader, and that told the
taxi driver exactly where I wanted to go. And everything in China at that
time, 2006, that 18 years ago, was being done by
QR codes. You wanted to go for a restaurant for a meal. You go and
see the concierge in your hotel. They would send you a QR code. You'd go
to the taxi driver, scan it. That would tell you
where to take you. You go into
the hotel, goes to the restaurant, they scan the
QR code. That way, they can confirm that it's you and it came from
a particular hotel that I'm sure probably meant that the
concierge at the hotel would get a kickback for recommending that
restaurant. So, again, closed loop affiliate marketing in its
finest. But again, you look at it and go, and it
seemed like QR codes should have been the absolute future, but they died
a death. And now, all of a sudden, again, I think partly because of
COVID it's come back, and they're now kind of much more prominent
in everything that kind of goes on.
Yeah. And again, I mean, let's call
it a means, right? So it's a means of communicating some
piece of information. And I think with the new wave of meta AI
glasses, for example, and the AI assistant
buttons, the rabbit, the humane button,
there's a couple of others. They're still not that good.
But the whole premise is that, listen, we don't need QR codes
to help guide people. It should visually be able to understand what
we're looking at and help guide you. And so the text happens to be
in Mandarin. Like, I can have my meta glasses. It'll translate it for me.
I mean, not that innovative. When you think about Google Glass, they pull out your
phone like they've been doing that for a long time. But I think where we're
sort of getting to is a world where the processors are smaller,
the AI is faster, so now you have it sitting in your glasses, and they
don't look like the dorky Google Glass. Right? It just looks like a pair of
sunglasses. Nobody knows that it's translating stuff for me. You're
a glass. I never had one.
I have my little museum of Google memorabilia. I have Larry's
Segway. I have a Google bike. I have a bunch of other stuff. I have
my Google original hockey jersey when I played with
Sergey and Larry. But a Google Glass, I was never
able to score one. So if anyone has one. Yeah, I think
Barry Schwartz has got one. I don't know if he still uses it. He's probably
the ultimate Google fanboy, Apple fanboy. I think every
single iPhone from the very beginning, he's like, got it on day one.
And, you know, but again, I mean, I think
when you're an innovator like he is, then it's definitely something
that you probably need to kind of do. It's funny going back to job
titles. I always kind of used to say to people when people would come in
for an interview, stuff like that, they'd be, what would my job title
be? And I'm like, well, what would you like your job title to be?
What your title is isn't going to dictate what your job is. I mean, the
job is going to be the job, right? And I've always maintained
that a job title is only important when you're
looking for a job with that as the title. So if you're
looking for a job as a sales manager, if you're a sales associate,
you're going to struggle to get a job against other people who are already
sales managers in other companies. Right? And the reality of it is
that, you know, those job titles only matter for you
actually getting job. Bit like, you know, education. You know, you need a certain
education to go on to the next step in education, which then takes
you to potentially university. You get your degree, that gets your first job,
and then after that, most of the time, the companies that you work
for don't really care about what you did at university. They care about what you
did in your first job. And really, you're only as good as your last, your
last role. Right. And in some respects, if that last role was a
disaster, then you may well kind of want to skip some time
and jump over it. But yeah. And
in your job, provide value and be
invaluable. And did the one. This was a good decision, not a
bad one, but always remaining very close to the customer and
understanding what it is they want. Because then if you get
laid off or something else happens, you'll know exactly what
people are willing to pay for. And you can either solve
that as a service, you can solve it as a software, but you'll be
in a position to know what to do next. Too often, people
go into job roles, and it's like middle management, where they kind of talk to
upper management and they talk to the people talking to the customers, but they live
in that void where everything is secondhand information,
and that's a dangerous place to be, I think. If you lose your job and
you're like, well, I heard such and so say these things about customers,
but you don't know who the customers are, so you can't go and be like,
hey, just lost my job. Like, I can help you solve this problem,
right? I can make some money that way.
Yeah. So be invaluable and provide
value. And don't ask for that job file, because in terms of a bad decision.
So there was a woman who came in to Google in 2002. She
was also belgian, so she was competing against me for
that job to be the original Adwords person to start
the dutch product. But one of the first things she asked was like,
where's my office? And where's my assistant? And meanwhile, I was sitting
in a room with, you know, at the time, it was only seven people, seven
other people, sort of like, working on adwords.
And I was like, that's fine. Like, it's a shared conference room. It's the I'm
feeling lucky lounge at Google building zero.
And I don't need an assistant. I don't need an office. Like, I'm here to
hopefully get a job at this company that seems to be going somewhere.
And she was very quickly shown the door because for her it was about
prestige and title and, like, certain amenities that she had to have
as opposed to coming in and proving that she'd be
valuable. Yeah, I had somebody come in and they said in the
interview, I said, do you have any questions? And they said, what's your
sick policy? I said,
well, you know, if you're sick, we'll pay you if it's legitimately
sick. And they said, what's the holiday
policy? I
said, you actually want this job, or do you just want to have something where
you can either be off on holiday or be off sick? It seemed like
that was the kind of conversation that we were having. That's terrible.
Regenerative AI people should totally prep for interviews. If you
have a hard time knowing what questions to ask, tell
GPT, okay, here's the company I'm applying to. What would be some smart
questions to ask when I have an interview? And then you can even role play
with GPT as if you're talking to the interviewer
and get some feedback on it. So, and that's where I think the whole generative
AI and technology, I'm so excited about it because it
really changes the landscape from, you know, saying I can't to
saying I haven't yet. There's so many more
opportunities. And like you were alluding to, you can generate video, you can do images.
So even if you're not a graphic artist, like I can't is no
longer a good answer. And if you work with a client in
marketing and they want a video proof of concept, I mean, sure,
talk to GPT, talk to Dolly, like, they'll figure something out. And
I really learned this in scripting, too. When you talk to a developer,
the more that you can show them a prototype of what it is you want,
the better they will build it and the quicker they will build it. So as
opposed to being like, hey, I need a script that helps me manage my
keywords, that's vague, that's non specific, like, they probably don't even know what
a keyword is because they've never done Google Ads. If I go to them and
we're like, here's a little script, and it doesn't work that well, it doesn't scale
that well, but it shows you the logic that I'm going through for identifying what
is a good keyword. And GPT helped me write this. I can give
that to an engineer and it's a script and they can say, oh, totally get
it. That's the logic. I'll turn it into an API tool which
scales to accounts of millions of
keywords. And so that to me is the promise of the
future of AI. And generative AI is just like, we can do things we
couldn't do in the past, and that just makes things really exciting. Yeah, I
mean, again, I'm kind of, I'm upbeat about the future.
Obviously, I have my grievances. I'll always kind of air them because
that's just the type of person I am. But, you know, but at the same
time, I am quite upbeat about the kind of the future of the
advertising ecosystem as a whole, my role in it, my
involvement in it, what I'm trying to do for the community. Again, I really
appreciate your involvement in the community as well. That for
me is like, what you guys do, optimizer is
definitely community led. You're trying to, yes, you want to
make money for the company because that enables you to grow the company, which enables
you to kind of invest into the community and invest into
sponsoring events and things like that, which, again, if you didn't do that,
then we'd all be working in isolation, which
isn't really kind of what agency want to be doing.
So. Yeah, so people like, yeah, exactly.
Thank you for all you do. Like, there's very few people who've been doing this
longer than I have, and it's really nice to have an OG who's
sounds like you're ready for another 30 years of more of this. Right? So
let's do it together. My wife keeps saying to me, you know, when are you
going to retire? I'm like, well, I enjoy working. I mean, the day I'm going
to stop retiring is when I start retiring is probably when I don't enjoy
work anymore. Right. But I really enjoy what I do. I enjoy the clients I
work with. I enjoy the people I work with. I enjoy the community I work
with as a whole. Right, sure. I mean, I have issues that
I'm trying to address and I'm trying to do it in the best way and
most positive way I can. Sometimes that's always difficult. Like I said, I'm a bit
of a curmudgeon, a bit of a grumpy old sod, so it's not always the
easiest thing to do. Very sarcastic. I
sometimes wish my sarcasm kind of wasn't as evident and prominent as it
is, but unfortunately, that's just who you are, right? You can't change. You can't
change your spots. You are who you are, right?
Well, you know, it's for, as negatively as you may talk about
yourself, you're a great guy. And that sarcasm is well placed. So. Well, I
really enjoy talking. So, Fred, obviously we've been on for a while.
Really appreciate you taking time out your busy day to come and talk to me
today. All your contact details, information will be available
in the show notes. I'll also leave a link to optimizer,
definitely. If you're involved in digital marketing, advertising in
any way, Optmyzr is by far and away the best tool I've ever
used for that particular purpose. Again, I could be in a
customer forever. And I think you've written
some books as well, haven't you? So I'll leave links to your books as well.
Yeah, digital marketing in an AI world wrote that back in
2018. Super relevant today in the world of
Genai. And then the second book was unlevel, the playing field, basically talking
about as everything becomes automated, what is it we can still
do to give ourselves a little bit of an edge. Good. And at some point
in time. I know we saw each other fairly recently, but hopefully at some point
in time in the near future we'll be able to grab another drink
in person. If you get over to I think. Brighton
SEO is definitely one thing that both of us will be at in San
Diego. So if you haven't bought tickets for that everyone
watching, come hang out with Jim and me. Cool. I'll leave
links to Brightnessio in the show notes as well. Thanks again,
Fred, for kind of listening in. And if you haven't
already followed the podcast, make sure you do. If you're watching it on YouTube, which
I hope you are, make sure you subscribe to the channel and we'll catch you
on the next episode of Bad Decisions with Jim Banks.
Podcast Host
Jim is the host of Bad Decisions with Jim Banks, the leading digital marketing podcast for aspiring digital marketers.
Author, CEO, Co-founder
Frederick (Fred) Vallaeys is a Silicon Valley entrepreneur, author and leading influencer in pay-per-click search marketing. One of Google’s first 500 employees, he helped pioneer PPC marketing as the company’s first AdWords Evangelist. Today he serves as Co-Founding CEO of Optmyzr, a leading and award-winning PPC management platform. A sought-after industry thought leader, he contributes to leading marketing publications and conferences, and is routinely called upon by journalists, writers and podcasters for his industry insight and vision.