WEBVTT

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We are a podcast for product marketers and B2B SaaS who feel misunderstood of what they do.

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From someone who truly gets what you do and basically help you feel less like a misfit to being unenormable in your role.

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All right,

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 guys,

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 this is another episode of We're Not Markers.

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 This is Zach,

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 the sales waterlad on the mic.

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 Before we introduce our next groundbreaking guest,

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 let's pass off the mic to our fellow co-host,

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 Eric Holland.

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Yeah,

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 what's up?

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 I'm Eric.

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 I'm the franken manager of the group and for the last

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little post intro gab take it away gab bujo sales deck associate still doing sales deck i can't stand it anymore pressing it up back to zach and by the way i forgot my my

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title this is a sales water lab but let me let you guys in on a little something right here our next guest here has an eye and ear to detail here my mic was going in and out i know shocking right because we've recorded about 50 plus episodes but

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 We're not marketers,

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 but who knows if this individual is,

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 because from his background,

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 he started off management consulting.

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 He's led product and growth at Dropbox.

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 He's did a few stints of VP marketing recently at Bill.

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 He's taking on the next challenge,

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 greater than Mount Kilimanjaro,

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 marketing budget.

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 He's looking to protect it for you all.

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 He's got the measuring tape.

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 He's got the abacus.

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 He's got all the tools in the kit right now.

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 Let's introduce it to our next guest here,

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 Pranav Piyush.

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 So excited to have you on.

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Thank you guys.

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 Kilimanjaro is on the bucket list.

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 Someday I actually have to go do that

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 But for now,

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 I will keep myself happy and entertained with marketing measurement.

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Are you a bad writer?

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No,

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 not by any means.

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Other than just climbing the ranks of B2B.

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Give me that boom shh.

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 I'm climbing the corporate ladder.

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 Oh my god.

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 No,

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 I like

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 being out there but you know i have two young kids and they are five and eight and so the last few years have just been not that adventurous right weekends are like busy with their stuff so one day when i'm you know hopefully the kids are a little bit grown up and i get my weekends back i can go back and you

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 know get out there so i did the the i don't i don't think it was the inca trail but it was a a four-day hike in in machu picchu like oh yes and

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 was awesome.

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 Got to replicate that on every continent.

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I was surprised we didn't run into each other.

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 I think I was out 10 years ago.

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 There you go.

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I have a question for you guys.

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 How did the three of you decide to even start this?

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Oh,

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 that's a great question.

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We were having in a very isolated bitch session that resonated around how we feel about our place in the world of B2B tech.

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 as product marketers and it all aligned very well let's just start talking about it on some microphones yeah it was yeah it was either a podcast or a musical we opted for the podcast it's a good starting point musical might be like season seven it's

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on the roadmap yeah we're gonna call it not marketing so you know the game here you know the show we're gonna pass the mic over to gab here he's got the million dollar question for you for now

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are product marketers actually marketers?

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Oh my God,

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 this is a can of worms.

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 So a little bit of,

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 a little bit of context,

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 right?

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 So I was a product manager at once in my,

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 in my career,

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 I've been a,

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 you know,

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 VP of product marketing at bill.

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 Um,

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 and so with no offense intended to my fellow

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 PMM sisters and brothers,

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 I think product marketing is.

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 probably a misnomer in the first place.

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 Now,

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 let me explain,

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 where did product marketing come from?

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 And,

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 you know,

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 I don't have like the definitive history or truth behind it.

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 But it came from this,

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 my perception,

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 my belief is that it came from a dysfunction between product and marketing.

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 And we

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 you know,

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 collectively as a as an industry and B2B invented a new thing called product marketing.

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 That was the inception point.

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 Now,

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 why so so to understand product marketing as a role,

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 and is it marketing is a product?

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 What is it,

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 you have to understand why it was even created and what the source of that dysfunction was,

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 either marketing drives the business,

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 or product drives the the business.

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 90%

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 of businesses,

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 neither is driving the business.

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 And 90%

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 of the PMMs are stuck in that really unfortunate state where neither product nor marketing is in charge.

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 of driving growth.

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 And PMs are the sole warriors of reason,

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 and data and research,

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 trying to make sure that product and marketing are enabling growth.

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 Now,

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 I say this in a very extreme way,

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 I don't mean that those product people don't care about growth,

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 I don't,

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 I'm not saying that marketers don't care about growth.

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 But there's something missing.

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 And so the whole organization structure in my mind needs to be

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 blown up and new titles,

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 new names,

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 new functions need to emerge.

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 I can talk more about that.

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 And I didn't answer your question directly,

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 but

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 I don't think product marketers are marketers.

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You know,

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 once you said misnomer,

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 I was like,

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 dang,

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 you take me back to seventh grade vocabulary.

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 I was like,

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 oh,

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 print off more context to that response right there.

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 You said there's something missing.

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 Like,

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 what is that

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 What is that missing link and what was the specific experience that led you to that realization?

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On the other side of the equation,

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 you got salespeople,

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 you got engineers,

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 what have you.

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 None of those people are true GM mentality type of people.

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 In an average case,

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 there are obviously cases where that's not true.

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 My realization was PMM is,

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 in most organizations,

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 even the team that I was leading mostly just project.

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 management.

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 And it was very unfortunate that that was the case.

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 Again,

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 that is not the desire or the intent.

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 It's because everyone,

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 sales,

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 demand gen,

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 product,

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 all think that they are driving the ship.

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 And when you have that lack of clarity on who is the ultimate GM of the business,

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 of the product of the feature until you have clarity pmm's job is absolutely thankless and it's not a marketing job it's a project management consensus driving keep the trains on the track get it launched type of a job and

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 there's nothing wrong with it but i don't think that it's the highest leveraged job and so my advice to marketers usually is that hey if you're going to go into a product marketing role have this conversation before you take that job of

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 who is accountable,

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 who is the GM,

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 and how are you going to be working with that GM to drive growth?

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 Because if you don't have a direct relationship with that,

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 product marketing is not going to work.

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You're filling our cup 100%

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 right now.

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 I don't know if you know,

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 but based on our reaction,

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 hearing that is very validating.

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 You said that those PMMs,

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 it's becoming project management.

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 We heard a lot about you're becoming an asset.

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 creating function you're just shipping stuff by shipping stuff um if you already had that discussion of like who's the gm who's the mini ceo what do you think those product marketers can do to influence the

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current positioning that people have internally of their role yeah i think the first thing is having a holistic view of the product journey and so what that means is your job as a product marketer in a

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 in a well functioning organization is to go from the opportunity identification all the way to value capture.

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 And these are like

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 MBA words.

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 But there's real meaning to them,

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 right?

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 What I mean by that is you know your audience better than anybody else,

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 which if you're not talking to five customers,

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 or at least three customers every day,

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 you can't be a PMM.

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 I'm also going to put everybody on notice a little bit.

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 If you think you're a PMM and you haven't spoken to a customer,

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 it's already the end of the day.

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 You're not a PMM.

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 So let's be very clear about what the product marketing role means.

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 You're constantly talking to customers,

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 not just listening to gone calls,

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 like that's helpful,

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 but you're actually spending time with customers.

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 I love doing the audience research.

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 You're doing the market research.

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 You understand your audience inside out,

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 not just like the needs and the jobs to be done and the benefits,

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 but like what do they do when they wake up?

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 What's on their home screen on their phone?

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 What's their favorite YouTube shows?

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 You know them at a level that's super deep.

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 That's where opportunities come from.

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 And what I mean by that is when you understand them,

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 when you understand their motivations and their jobs to be done and needs.

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 You can say that,

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 hey,

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 here are the top three things that they care about in their professional lives.

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 And we're doing great on number two and number three,

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 but hey,

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 number one,

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 we're missing the mark.

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 And here's why.

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 And you take that to your organization.

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 And then it's like,

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 okay,

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 how do you take that opportunity through the process of building a commercially viable business,

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 right?

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 So classic sort of product management thinking.

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 This is also where I say,

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 you know,

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 if you have PMMs and PMs,

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 something's wrong.

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 And if you don't know which one works for the other one,

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 you see what I'm saying,

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 right?

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 Because

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 I can say the same exact thing that I just said about PMs.

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 A product manager should know their audience.

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 And so if you haven't spoken to a customer,

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 how are you a product manager?

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 So,

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 you know,

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 strong opinions,

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 but I do think that those roles actually are very similar and they've been-

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 created because there was a class of product managers who were like,

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 no,

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 no,

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 no,

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 I don't want to do that.

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 So go set up a product marketing team and they should go do that.

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 I'm going to focus on high value.

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 I'm going to create the product like nonsense.

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 I'm going to get hit from all sides after this,

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 this podcast airs.

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Pod takes are very welcome here.

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 Safe space for all.

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That's great.

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 I love the way you said it.

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 And I just have a quick follow-up question on that because

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 My take is a great PMM should be able to jump on the demo with the average sales rep and be on par,

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 if not better than that sales rep.

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 Because you understand all of the different contexts,

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 you understand the different department,

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 you understand those feedback loops.

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 So technically sales should be able to learn from you.

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 And this is the best way to cut off those silos between marketing and sales.

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 But you said something as well in terms of like those PMs.

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 PMs should be talking to the customers.

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 PMM should be talking to the customers.

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 If I'm PMM,

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 and have a discussion with a PM,

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 which is based on the real story,

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 right?

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 And I was like,

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 to the head of product,

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 hey,

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 I want to talk to customers.

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 I want to make sure

262
00:12:02.774 --> 00:12:03.840
 I get on par to you.

263
00:12:03.997 --> 00:12:04.794
 The answer was,

264
00:12:05.739 --> 00:12:06.497
 why would you talk to them?

265
00:12:06.536 --> 00:12:07.497
 I already spoke with them.

266
00:12:07.864 --> 00:12:08.700
 We don't want to bug them.

267
00:12:08.701 --> 00:12:10.700
 We don't want to be gatekept by sales.

268
00:12:11.387 --> 00:12:17.012
 What should be if I know that my counterpart as a product manager is already in those discussions,

269
00:12:17.044 --> 00:12:18.012
 already on the field with them,

270
00:12:18.325 --> 00:12:19.153
 but me as a PMM,

271
00:12:19.419 --> 00:12:23.997
 I don't get my part of the buffet because there's someone else doing it.

272
00:12:25.004 --> 00:12:25.124
Yeah,

273
00:12:25.144 --> 00:12:25.785
 it's a good question.

274
00:12:26.745 --> 00:12:28.587
 And this is where it goes down to,

275
00:12:28.989 --> 00:12:29.228
 you know,

276
00:12:29.829 --> 00:12:31.411
 understanding the organization structure.

277
00:12:31.892 --> 00:12:33.111
 After having done this role,

278
00:12:33.970 --> 00:12:36.993
 before I even put myself in that position,

279
00:12:37.259 --> 00:12:37.900
 I would know,

280
00:12:38.556 --> 00:12:38.798
 you know,

281
00:12:39.079 --> 00:12:41.603
 what the working relationship is between PM and PMM.

282
00:12:42.181 --> 00:12:44.696
 So when I took this role at Bill,

283
00:12:44.743 --> 00:12:47.384
 I was asked to lead the product marketing team and customer marketing team.

284
00:12:48.040 --> 00:12:49.228
 I just went on a listening tour.

285
00:12:49.743 --> 00:12:51.946
 I went and spoke to every product leader there was,

286
00:12:52.071 --> 00:12:52.806
 every sales leader,

287
00:12:52.915 --> 00:12:53.712
 every marketing leader.

288
00:12:54.376 --> 00:12:56.559
 and understood what they thought,

289
00:12:56.938 --> 00:12:57.159
 you know,

290
00:12:57.239 --> 00:12:58.739
 product marketing's role was.

291
00:12:59.841 --> 00:13:00.083
 And,

292
00:13:00.962 --> 00:13:01.204
 you know,

293
00:13:01.825 --> 00:13:03.102
 in a larger organization,

294
00:13:03.126 --> 00:13:03.923
 you have to start there.

295
00:13:04.266 --> 00:13:04.423
 Like,

296
00:13:04.469 --> 00:13:05.829
 what is the expectation internally?

297
00:13:06.548 --> 00:13:07.766
 And guess what?

298
00:13:07.790 --> 00:13:11.696
 It's going to take you four to six quarters before you can change that perception.

299
00:13:13.008 --> 00:13:13.993
 Not going to happen overnight.

300
00:13:14.540 --> 00:13:15.665
 So you got to pick your battles,

301
00:13:15.758 --> 00:13:15.930
 right?

302
00:13:16.055 --> 00:13:16.290
 Okay,

303
00:13:16.555 --> 00:13:18.587
 product thinks and believes,

304
00:13:18.946 --> 00:13:20.618
 maybe very earnestly and honestly,

305
00:13:20.696 --> 00:13:21.946
 that they have all of the...

306
00:13:22.608 --> 00:13:24.611
 the research and the customer insights done.

307
00:13:25.851 --> 00:13:26.111
 All right,

308
00:13:26.653 --> 00:13:27.251
 fantastic.

309
00:13:27.833 --> 00:13:32.517
 Let's set up a day long session where we can go deep into what you have found,

310
00:13:33.517 --> 00:13:37.345
 and the evidence and the proof points that back that up.

311
00:13:37.642 --> 00:13:40.001
 So we can use that in our marketing for our claims.

312
00:13:40.673 --> 00:13:46.173
 It's a great way to surface the understanding of the lack of understanding.

313
00:13:46.314 --> 00:13:47.751
 And I'm not saying this in a political way,

314
00:13:47.752 --> 00:13:50.970
 I'm literally saying like hey if we're gonna say that

315
00:13:51.612 --> 00:13:51.912
 you know,

316
00:13:52.253 --> 00:13:54.595
 seven out of 10 customers really want this,

317
00:13:54.896 --> 00:13:55.134
 you know,

318
00:13:55.217 --> 00:13:55.595
 feature,

319
00:13:56.017 --> 00:13:57.459
 there's got to be some evidence for it,

320
00:13:57.779 --> 00:13:57.978
 right?

321
00:13:58.459 --> 00:14:01.705
 And you have to structure the research in the right way to be able to do it.

322
00:14:01.744 --> 00:14:08.603
 And so if your product manager or your head of product is somebody who wants to have an evidence-based conversation,

323
00:14:09.463 --> 00:14:11.009
 then it's going to go well.

324
00:14:11.806 --> 00:14:13.666
 If it's a HIPAA conversation,

325
00:14:13.931 --> 00:14:16.056
 the highest paid person's opinion,

326
00:14:16.775 --> 00:14:16.978
 then,

327
00:14:17.431 --> 00:14:17.681
 you know,

328
00:14:18.275 --> 00:14:18.900
 and by the way,

329
00:14:18.994 --> 00:14:19.978
 that happens 90%

330
00:14:19.979 --> 00:14:20.463
 of the times.

331
00:14:21.512 --> 00:14:23.414
 at least you know that right off the bat.

332
00:14:23.735 --> 00:14:27.120
 And you can figure out in your career sort of how you navigate that situation.

333
00:14:27.121 --> 00:14:27.358
 It's like,

334
00:14:27.377 --> 00:14:27.537
 okay,

335
00:14:27.557 --> 00:14:32.705
 you're not going to go across the hippo and you'll have to find different ways of influencing the organization.

336
00:14:33.745 --> 00:14:34.588
 I don't know if that helped,

337
00:14:34.729 --> 00:14:35.885
 but yeah.

338
00:14:36.166 --> 00:14:39.291
It does help because it lets people know it's not black and white.

339
00:14:39.292 --> 00:14:40.573
 You got to take those things.

340
00:14:40.574 --> 00:14:43.526
 And I appreciate that acknowledgement of four to six quarters.

341
00:14:43.573 --> 00:14:49.901
 I think there's probably a lot of us who are doing that in-house role who don't know what that influence.

342
00:14:50.148 --> 00:14:50.913
 is going to be like,

343
00:14:50.914 --> 00:14:51.998
 and it's just good to hear.

344
00:14:52.947 --> 00:14:53.768
 the reality of it.

345
00:14:53.808 --> 00:14:55.629
 It's not an overnight success.

346
00:14:57.031 --> 00:14:57.351
Pranav,

347
00:14:58.390 --> 00:14:58.992
 a question for you.

348
00:14:58.993 --> 00:15:00.234
 Go ahead.

349
00:15:00.235 --> 00:15:06.398
I used to send out a survey to all of our cross-functional stakeholders with two or three questions of just like,

350
00:15:06.422 --> 00:15:06.640
 hey,

351
00:15:09.117 --> 00:15:13.226
 I'd set the stage of this is our mission,

352
00:15:13.383 --> 00:15:15.476
 this is our objective as a product marketing team.

353
00:15:16.273 --> 00:15:18.148
 How are we doing against that mission and objective?

354
00:15:18.976 --> 00:15:22.492
 And it was literally just this zero to 10 type of scale.

355
00:15:23.067 --> 00:15:28.269
 And I would get that feedback and be able to see how that perception is either improving or staying the same.

356
00:15:29.089 --> 00:15:31.452
 And that was the thing that I was tracking quarter to quarter.

357
00:15:33.148 --> 00:15:35.710
 We tried to get every product marketing team.

358
00:15:36.171 --> 00:15:40.038
 We had multiple teams of each pod to have their own metrics.

359
00:15:40.898 --> 00:15:44.788
 And those metrics were very much aligned with the business that they were supporting.

360
00:15:45.679 --> 00:15:49.413
 The challenge is that they didn't really have influence over those metrics.

361
00:15:49.414 --> 00:15:50.835
 So it was good to say that,

362
00:15:50.866 --> 00:15:51.054
 hey,

363
00:15:51.148 --> 00:15:52.632
 these are the metrics that we're going to be looking at.

364
00:15:53.539 --> 00:15:54.701
 But we didn't have control.

365
00:15:55.220 --> 00:15:59.744
 And so that's why I always think that product marketing is in an unfortunate situation.

366
00:16:00.626 --> 00:16:06.189
 Many times when it comes to can you actually control the metric that you're trying to influence.

367
00:16:07.470 --> 00:16:08.970
Diving deeper into that point,

368
00:16:09.111 --> 00:16:16.861
 a former manager of mine in product marketing shared with me the best way to influence a conversation is data.

369
00:16:19.111 --> 00:16:22.408
 for product marketers who on their LinkedIn.

370
00:16:22.847 --> 00:16:25.990
 Say they are data-backed analysts.

371
00:16:26.652 --> 00:16:27.492
 You know who you are.

372
00:16:29.093 --> 00:16:33.054
 What is the wrong way of using data to influence an internal conversation?

373
00:16:34.578 --> 00:16:37.718
I would say maybe there are three to four sort of pitfalls.

374
00:16:39.499 --> 00:16:41.328
 One is cherry-picking data.

375
00:16:42.531 --> 00:16:51.953
 And what that just means is like you already have a story in your head and you're just trying to prove your point and you find the right data points to make the case and you go present them.

376
00:16:52.347 --> 00:16:53.688
 The reason it's a pitfall,

377
00:16:53.828 --> 00:16:55.631
 the reason I think that that doesn't work,

378
00:16:56.432 --> 00:17:04.201
 is the smartest people in the room are going to ask you the hard questions about the data behind the data.

379
00:17:04.560 --> 00:17:04.717
 And,

380
00:17:05.021 --> 00:17:05.303
 you know,

381
00:17:05.982 --> 00:17:07.584
 and you're going to be in a house of cards.

382
00:17:07.585 --> 00:17:08.631
 So that's like one pitfall.

383
00:17:09.209 --> 00:17:12.881
 The second pitfall is if you're really sort of data savvy,

384
00:17:12.928 --> 00:17:14.131
 it's not just the data,

385
00:17:14.787 --> 00:17:16.974
 it's what generates that data.

386
00:17:17.818 --> 00:17:18.756
 So I'll give you an example.

387
00:17:19.474 --> 00:17:21.740
 I could ask you a leading question in a survey.

388
00:17:22.503 --> 00:17:27.045
 and get you to say things a certain way and prove my point.

389
00:17:27.924 --> 00:17:28.045
 So,

390
00:17:30.123 --> 00:17:30.405
 you know,

391
00:17:30.701 --> 00:17:31.303
 I'm going to ask you,

392
00:17:31.428 --> 00:17:31.584
 hey,

393
00:17:31.662 --> 00:17:32.069
 was that,

394
00:17:32.287 --> 00:17:32.569
 you know,

395
00:17:33.162 --> 00:17:34.108
 that dish was delicious,

396
00:17:34.147 --> 00:17:34.506
 wasn't it?

397
00:17:35.225 --> 00:17:36.444
 And you're going to say,

398
00:17:36.483 --> 00:17:36.647
 yeah,

399
00:17:38.319 --> 00:17:38.522
yeah.

400
00:17:38.944 --> 00:17:40.490
You're not going to say,

401
00:17:40.569 --> 00:17:40.694
 no,

402
00:17:40.740 --> 00:17:49.444
 it was absolute garbage when I've already positioned the question as a leading question telling you that it's delicious and I believe it's delicious.

403
00:17:49.445 --> 00:17:51.069
 So you will be more likely to say,

404
00:17:51.522 --> 00:17:51.694
 yeah.

405
00:17:51.831 --> 00:17:52.231
 it was good.

406
00:17:53.092 --> 00:17:54.153
 And I marked that and say,

407
00:17:54.694 --> 00:17:54.975
 great,

408
00:17:55.114 --> 00:17:55.735
 I got data.

409
00:17:57.077 --> 00:17:57.838
 That's garbage,

410
00:17:58.198 --> 00:17:58.377
 right?

411
00:17:58.416 --> 00:17:59.139
 That's garbage data.

412
00:17:59.639 --> 00:18:01.397
 So the second pitfall is like,

413
00:18:01.483 --> 00:18:04.163
 what is the process to generate the data that you're looking at?

414
00:18:04.600 --> 00:18:09.295
 And really being confident in understanding whether it's a survey,

415
00:18:09.483 --> 00:18:11.077
 whether it's a business process,

416
00:18:11.155 --> 00:18:12.264
 whether it's your CRM,

417
00:18:12.373 --> 00:18:12.811
 whether it's,

418
00:18:12.936 --> 00:18:13.170
 you know,

419
00:18:13.686 --> 00:18:15.170
 whatever else is usage data,

420
00:18:15.702 --> 00:18:16.092
 but like,

421
00:18:16.498 --> 00:18:19.623
 what is the actual mechanism through which that data is created?

422
00:18:19.624 --> 00:18:21.327
 And most people don't understand that and they

423
00:18:21.883 --> 00:18:22.123
 you know,

424
00:18:22.504 --> 00:18:26.128
 fall when questioned about that piece.

425
00:18:27.647 --> 00:18:28.510
 The third thing is,

426
00:18:28.651 --> 00:18:30.870
 I think this applies to all of marketing.

427
00:18:31.675 --> 00:18:33.956
 Everyone needs to go take a course on statistics.

428
00:18:34.198 --> 00:18:37.221
 Most of us did not study statistics when we were learning,

429
00:18:37.557 --> 00:18:37.800
 you know,

430
00:18:37.839 --> 00:18:38.557
 how to do marketing,

431
00:18:38.573 --> 00:18:39.479
 whether that was college,

432
00:18:39.526 --> 00:18:40.901
 whether that was on the job,

433
00:18:41.339 --> 00:18:41.526
 right?

434
00:18:41.589 --> 00:18:42.776
 I didn't go to school for marketing,

435
00:18:42.807 --> 00:18:43.307
 but you know,

436
00:18:43.308 --> 00:18:43.885
 I learned it on,

437
00:18:45.385 --> 00:18:47.526
 and I never really thought about.

438
00:18:48.363 --> 00:19:03.278
 statistics until like the last maybe four to five years and how to think about I mean I did but in a very sort of isolated way I thought about it as like a b testing I'll apply statistics to it right but like the concepts of correlation causation uncertainty you

439
00:19:03.279 --> 00:19:17.957
 know what is knowable like if you go spend eight hours on YouTube like just going down the rabbit hole you will learn so much that you can apply to how you make the case internally about.

440
00:19:18.339 --> 00:19:18.579
 you know,

441
00:19:18.880 --> 00:19:20.382
 whatever strategy that you're employing.

442
00:19:21.161 --> 00:19:24.985
 And when you tie all this together into the scientific process,

443
00:19:25.005 --> 00:19:26.005
 and what I mean by that is,

444
00:19:26.450 --> 00:19:27.692
 you have a hypothesis,

445
00:19:28.208 --> 00:19:29.989
 you always start with a hypothesis.

446
00:19:30.770 --> 00:19:33.356
 And that is a very different way of thinking,

447
00:19:33.614 --> 00:19:34.442
 as opposed to like,

448
00:19:34.473 --> 00:19:35.333
 here's my goal.

449
00:19:36.333 --> 00:19:36.458
 No,

450
00:19:36.864 --> 00:19:37.520
 you're like,

451
00:19:37.552 --> 00:19:38.661
 nobody cares about your goals.

452
00:19:38.662 --> 00:19:40.177
 What you care about is like finding,

453
00:19:41.177 --> 00:19:43.317
 either proving or disproving your hypothesis,

454
00:19:43.661 --> 00:19:47.692
 I might have a hypothesis that there's demand for a business like Paramark.

455
00:19:48.687 --> 00:19:52.359
 Now I got to go prove that if I come to investors and say,

456
00:19:52.360 --> 00:19:52.480
 no,

457
00:19:52.481 --> 00:19:52.580
 no,

458
00:19:52.581 --> 00:19:52.681
 no,

459
00:19:52.861 --> 00:19:53.986
 I know there is demand.

460
00:19:54.650 --> 00:19:55.211
 They're gonna be like,

461
00:19:55.271 --> 00:19:55.431
 well,

462
00:19:55.731 --> 00:19:56.312
 how do you know?

463
00:19:56.832 --> 00:20:01.856
 And so taking a hypothesis based approach changes the conversation for marketers,

464
00:20:01.899 --> 00:20:03.801
 because it's no longer about what I think.

465
00:20:04.418 --> 00:20:08.340
 It's whether I can prove or disprove the hypothesis that I have,

466
00:20:08.426 --> 00:20:09.965
 it also makes it less personal.

467
00:20:10.684 --> 00:20:14.387
 It's not about what I think and I feel and I believe no,

468
00:20:14.965 --> 00:20:16.309
 here's a hypothesis.

469
00:20:17.106 --> 00:20:18.137
 And we can either,

470
00:20:18.199 --> 00:20:18.840
 you know,

471
00:20:18.918 --> 00:20:20.371
 showcase that it works or it doesn't work.

472
00:20:20.715 --> 00:20:22.184
 Do you have a better hypothesis?

473
00:20:22.231 --> 00:20:23.637
 Do you have a different hypothesis?

474
00:20:23.652 --> 00:20:24.340
 Do you want to test.

475
00:20:25.210 --> 00:20:28.390
 And the moment you open up that conversation,

476
00:20:28.470 --> 00:20:29.890
 now you've got the whole room engaged.

477
00:20:29.891 --> 00:20:30.132
 It's like,

478
00:20:30.152 --> 00:20:30.331
 well,

479
00:20:30.433 --> 00:20:30.671
 yes,

480
00:20:30.792 --> 00:20:31.433
 I think I can,

481
00:20:31.652 --> 00:20:31.913
 you know,

482
00:20:32.273 --> 00:20:33.753
 I want to test this thing because,

483
00:20:34.253 --> 00:20:34.612
 and you're like,

484
00:20:34.769 --> 00:20:37.589
 why do you think that's a reasonable hypothesis to even form,

485
00:20:37.909 --> 00:20:38.112
 right?

486
00:20:38.152 --> 00:20:38.972
 Where is that coming from?

487
00:20:39.050 --> 00:20:40.050
 Tell me about the intuition.

488
00:20:40.136 --> 00:20:41.628
 Tell me about the market research you've done.

489
00:20:42.112 --> 00:20:46.019
 So there's a long-winded answer about this data question,

490
00:20:46.316 --> 00:20:53.769
 but this more rigorous and scientific way of thinking will free up product marketers to not get into the...

491
00:20:54.318 --> 00:20:56.198
 tactical debates that we often get into.

492
00:20:57.359 --> 00:20:58.437
That's an awesome tip.

493
00:20:58.500 --> 00:20:58.918
Valuable.

494
00:20:59.941 --> 00:21:00.078
Yeah.

495
00:21:00.359 --> 00:21:01.101
 And it's like,

496
00:21:02.558 --> 00:21:05.722
 I did study statistics in college and I don't remember half of it,

497
00:21:05.777 --> 00:21:08.800
 but what's grinding my gear the most is when I'm with a team,

498
00:21:08.965 --> 00:21:13.175
 we talk about A-B testing or people just brought A-B tests and they're like,

499
00:21:13.222 --> 00:21:14.019
 let's A-B test it.

500
00:21:14.020 --> 00:21:14.363
 And I'm like,

501
00:21:14.722 --> 00:21:15.004
 guys,

502
00:21:15.129 --> 00:21:16.582
 we have 150 visitors.

503
00:21:17.285 --> 00:21:20.769
 There's no way we'll be able to say that we're 95%

504
00:21:20.879 --> 00:21:22.582
 confident in that hypothesis because

505
00:21:22.826 --> 00:21:24.627
 There's not enough data to actually prove our point.

506
00:21:24.787 --> 00:21:26.049
 Correlation doesn't mean correlation.

507
00:21:26.571 --> 00:21:32.172
 A lot of product marketers can take a page of the book of growth marketers to actually draw those hypotheses.

508
00:21:34.219 --> 00:21:36.516
 Is there a way on how you think that

509
00:21:38.258 --> 00:21:42.282
 PMMs can bring that kind of whole hypothesis ideas in,

510
00:21:43.922 --> 00:21:45.188
 I would say specific situation,

511
00:21:45.203 --> 00:21:45.672
 for example,

512
00:21:45.735 --> 00:21:46.563
 if we take messaging,

513
00:21:46.625 --> 00:21:46.844
 right?

514
00:21:47.032 --> 00:21:47.516
 Messaging,

515
00:21:47.797 --> 00:21:50.094
 I'm currently working on something on message testing.

516
00:21:50.750 --> 00:21:51.641
 A big part of that

517
00:21:51.994 --> 00:21:53.215
 usually dies by committee.

518
00:21:54.037 --> 00:21:54.678
 So I'm just curious,

519
00:21:54.998 --> 00:21:58.760
 how would you approach that for a PMM that never really did any policies,

520
00:21:58.822 --> 00:22:03.389
 don't really have a knowledge and statistic and want to just make sure they don't fall under those pitfalls?

521
00:22:04.623 --> 00:22:04.748
Yeah,

522
00:22:04.764 --> 00:22:05.006
 I mean,

523
00:22:07.350 --> 00:22:09.615
 positioning and messaging is an interesting one.

524
00:22:09.646 --> 00:22:10.490
 When you say messaging,

525
00:22:10.537 --> 00:22:12.709
 do you mean sort of the framework,

526
00:22:12.771 --> 00:22:13.521
 the hierarchy,

527
00:22:13.678 --> 00:22:14.350
 the pillars,

528
00:22:14.537 --> 00:22:15.959
 or you really mean sort of copy?

529
00:22:18.334 --> 00:22:20.725
Eric and I had like a discussion before this call.

530
00:22:21.910 --> 00:22:25.053
 He was reminding the team that messaging isn't copy,

531
00:22:25.073 --> 00:22:25.614
 but in that case,

532
00:22:25.633 --> 00:22:26.194
 I don't mean copy.

533
00:22:26.233 --> 00:22:26.917
 I mean the framework,

534
00:22:26.918 --> 00:22:27.877
 the hierarchy of everything,

535
00:22:28.116 --> 00:22:29.815
 the overall strategy that will support your position.

536
00:22:30.276 --> 00:22:33.104
So there are some things that you don't experiment with.

537
00:22:33.721 --> 00:22:35.706
 And messaging is one of those things.

538
00:22:36.245 --> 00:22:36.401
 Now,

539
00:22:36.581 --> 00:22:37.502
 let me explain what I mean.

540
00:22:37.768 --> 00:22:39.971
 You don't apply sort of A-B testing to that.

541
00:22:39.987 --> 00:22:41.752
 I don't think that that's a good answer.

542
00:22:42.956 --> 00:22:46.237
 When you are doing positioning and messaging at the strategy level,

543
00:22:46.238 --> 00:22:47.190
 at the framework level,

544
00:22:47.956 --> 00:22:49.721
 my thought process and...

545
00:22:49.942 --> 00:22:51.484
 And I think that this is true for most people.

546
00:22:52.384 --> 00:22:55.007
 It's much more qualitative in nature.

547
00:22:55.648 --> 00:22:59.488
 And that doesn't mean that it doesn't require understanding of statistics and science,

548
00:22:59.629 --> 00:23:02.777
 but it's not the same as running a mass scale A-B test.

549
00:23:03.215 --> 00:23:03.332
 So

550
00:23:04.816 --> 00:23:05.738
 I'm sure you've seen this,

551
00:23:05.980 --> 00:23:06.183
 right?

552
00:23:06.402 --> 00:23:08.340
 When you do sort of first party research,

553
00:23:08.386 --> 00:23:09.558
 you go talk to customers.

554
00:23:10.246 --> 00:23:14.121
 And whether you're starting from an existing sort of baseline of,

555
00:23:14.199 --> 00:23:14.386
 hey,

556
00:23:14.558 --> 00:23:18.543
 here are the five messaging pillars that we have already had for five years.

557
00:23:19.355 --> 00:23:19.496
 and

558
00:23:19.714 --> 00:23:36.803
 you know you put that in front of customers and you construct a research program to understand their thoughts and feelings about those messaging pillars you need to do it a certain number of times and you need to do it a certain number of get

559
00:23:36.804 --> 00:23:46.381
 a concentrated mass of your buyer personas your influencers or your champions whatever forms your buying group and there is a

560
00:23:46.706 --> 00:23:47.687
 method to that madness.

561
00:23:47.827 --> 00:23:51.432
 If I only speak to five people and one was the CEO,

562
00:23:51.592 --> 00:23:53.131
 the other was a head of sales ops,

563
00:23:53.174 --> 00:23:54.495
 and the third was a marketer,

564
00:23:55.253 --> 00:23:56.456
 you don't got nothing.

565
00:23:57.198 --> 00:23:59.776
 So you have to think about,

566
00:24:00.057 --> 00:24:00.338
 have I,

567
00:24:00.581 --> 00:24:00.901
 if my,

568
00:24:01.362 --> 00:24:04.479
 if my buying group is made of these four personas,

569
00:24:05.198 --> 00:24:09.213
 I'm going to make sure that I have at least eight to 10 of these research,

570
00:24:09.573 --> 00:24:09.807
 you know,

571
00:24:10.245 --> 00:24:12.698
 studies done for each of those personas.

572
00:24:13.698 --> 00:24:15.807
 And so So when you think about...

573
00:24:16.206 --> 00:24:16.907
 statistics,

574
00:24:17.007 --> 00:24:20.909
 it's really just making sure if you understand the concept of statistical significance,

575
00:24:21.491 --> 00:24:21.729
 you know,

576
00:24:22.151 --> 00:24:25.737
 then you're able to kind of draw that into this type of a research process.

577
00:24:26.378 --> 00:24:27.120
 If you don't,

578
00:24:27.737 --> 00:24:29.300
 as a naive sort of junior marketer,

579
00:24:30.159 --> 00:24:30.643
 you could be like,

580
00:24:30.644 --> 00:24:30.761
 hey,

581
00:24:30.784 --> 00:24:31.518
 I spoke to people,

582
00:24:32.284 --> 00:24:33.362
 I spoke to 10 people.

583
00:24:34.190 --> 00:24:34.987
 And yes,

584
00:24:35.018 --> 00:24:36.065
 you did good job,

585
00:24:36.222 --> 00:24:38.581
 but that doesn't make it statistically valid.

586
00:24:39.565 --> 00:24:42.097
 So even for doing,

587
00:24:42.425 --> 00:24:42.675
 you know,

588
00:24:42.690 --> 00:24:43.800
 this audience research,

589
00:24:44.409 --> 00:24:45.550
 there's like,

590
00:24:46.114 --> 00:24:47.336
 go chat GPT it,

591
00:24:47.556 --> 00:24:47.757
 right?

592
00:24:47.857 --> 00:24:49.160
 Open up chat GPT and say,

593
00:24:49.240 --> 00:24:49.420
 Hey,

594
00:24:50.461 --> 00:24:53.527
 what are some best practices on how do I create?

595
00:24:54.050 --> 00:24:54.250
 you know,

596
00:24:54.290 --> 00:24:57.093
 research programs for a messaging framework.

597
00:24:57.993 --> 00:24:59.995
 It's going to tell you exactly what you need to do.

598
00:25:00.597 --> 00:25:04.378
 So that's how I think you really have to start thinking about it.

599
00:25:04.456 --> 00:25:05.081
 And again,

600
00:25:05.120 --> 00:25:09.222
 there's no excuse for marketers to not be able to teach them this stuff.

601
00:25:09.269 --> 00:25:10.644
 This is not rocket science.

602
00:25:11.144 --> 00:25:12.425
 You can pick it up quickly.

603
00:25:13.269 --> 00:25:15.847
It reminds me of a line I heard in

604
00:25:16.191 --> 00:25:17.159
 Exit 5 podcast.

605
00:25:17.160 --> 00:25:18.300
 It was like Dave and Dave

606
00:25:18.816 --> 00:25:23.362
 Kellogg is the idea of the dispassionate analyst.

607
00:25:24.210 --> 00:25:28.889
 Even when you don't have all the necessary context,

608
00:25:29.550 --> 00:25:37.389
 I think knowing the thought methodology of data analytics and statistics really elevates the conversation.

609
00:25:37.491 --> 00:25:44.452
 One example that comes to mind for me is that I'm working with a client right now and we're doing a series of user interviews and

610
00:25:45.358 --> 00:25:47.936
 10 to 15 and I can come to them and say,

611
00:25:47.937 --> 00:25:48.061
 hey,

612
00:25:48.062 --> 00:25:49.655
 this gives us a perspective.

613
00:25:50.530 --> 00:25:52.891
 But it might give us signals,

614
00:25:52.930 --> 00:25:55.910
 but it won't give us a definitive unless we continue,

615
00:25:55.930 --> 00:25:56.410
 like you said,

616
00:25:57.231 --> 00:26:00.891
 if we interview eight to 10 of the same personas.

617
00:26:01.672 --> 00:26:04.633
 And that helps like really guide the conversation,

618
00:26:04.657 --> 00:26:09.555
 because especially when we're in a space where it's a game of opinion,

619
00:26:10.914 --> 00:26:11.399
 like you said,

620
00:26:11.914 --> 00:26:13.321
 the strongest opinion typically wins.

621
00:26:13.852 --> 00:26:13.977
No,

622
00:26:14.102 --> 00:26:15.711
 the most highest paid opinion.

623
00:26:16.180 --> 00:26:16.414
Hippo,

624
00:26:16.602 --> 00:26:16.789
 hippo.

625
00:26:17.338 --> 00:26:18.678
 I did not make that term up.

626
00:26:18.779 --> 00:26:19.859
 It's somewhere on the internet.

627
00:26:19.898 --> 00:26:21.118
 So I don't know where I learned it from.

628
00:26:21.177 --> 00:26:23.181
 But to add on to that point,

629
00:26:23.618 --> 00:26:25.216
 you want to marry the qual and the quant,

630
00:26:25.583 --> 00:26:25.779
 right?

631
00:26:25.919 --> 00:26:28.521
 So people also like don't think about this enough.

632
00:26:28.544 --> 00:26:28.724
 Like,

633
00:26:28.763 --> 00:26:28.943
 okay,

634
00:26:28.982 --> 00:26:29.958
 you did your qual,

635
00:26:30.060 --> 00:26:31.365
 you did 30 interviews,

636
00:26:31.419 --> 00:26:33.466
 you figured out your messaging pillars for like these,

637
00:26:33.467 --> 00:26:33.685
 you know,

638
00:26:33.716 --> 00:26:34.497
 five audiences,

639
00:26:35.200 --> 00:26:35.794
 four audiences,

640
00:26:35.825 --> 00:26:36.435
 whatever it might be.

641
00:26:37.888 --> 00:26:46.279
 It is not that hard to turn those into five different ads on LinkedIn in an ABM way.

642
00:26:47.902 --> 00:26:49.344
 each for each audience,

643
00:26:49.363 --> 00:26:50.926
 the persona that you care about,

644
00:26:51.746 --> 00:26:56.094
 and see your engagement rate from those ads,

645
00:26:56.469 --> 00:27:01.437
 you will have answers within a week or two of which messaging is actually resonating,

646
00:27:02.015 --> 00:27:02.219
 right?

647
00:27:02.437 --> 00:27:05.992
 And now you can go back and do your research lab and say,

648
00:27:06.054 --> 00:27:06.320
 okay,

649
00:27:06.539 --> 00:27:06.664
 we,

650
00:27:06.898 --> 00:27:07.148
 you know,

651
00:27:07.242 --> 00:27:08.695
 our qual set five,

652
00:27:09.586 --> 00:27:12.289
 our research telling us it's actually only two things that are resonating.

653
00:27:12.461 --> 00:27:13.429
 The other three are like,

654
00:27:13.523 --> 00:27:13.773
 you know,

655
00:27:13.867 --> 00:27:14.086
 yes,

656
00:27:14.133 --> 00:27:14.992
 that came up in qual,

657
00:27:15.054 --> 00:27:16.929
 but the exit either something's messed up.

658
00:27:17.022 --> 00:27:17.182
 right?

659
00:27:17.262 --> 00:27:19.585
 Either the copy execution didn't meet the bar,

660
00:27:20.146 --> 00:27:22.349
 or maybe the broader market doesn't believe that,

661
00:27:22.786 --> 00:27:22.970
 right?

662
00:27:23.107 --> 00:27:26.814
 So you take that iterative approach of going from qual to quant.

663
00:27:28.595 --> 00:27:29.376
 And again,

664
00:27:29.377 --> 00:27:31.696
 the goal is not conversions in those ads.

665
00:27:32.095 --> 00:27:34.321
 The goal is to understand whether your message resonates.

666
00:27:35.024 --> 00:27:37.103
 And so you're doing it for research purposes.

667
00:27:39.446 --> 00:27:40.384
Clarifying question for you.

668
00:27:41.681 --> 00:27:42.946
 I'm going to say these two words,

669
00:27:43.024 --> 00:27:45.196
 and I'm curious what your immediate reaction is.

670
00:27:47.850 --> 00:27:48.751
 Activity metrics.

671
00:27:49.952 --> 00:27:50.833
I have nothing against them.

672
00:27:50.993 --> 00:27:51.593
 I think they're great.

673
00:27:52.815 --> 00:27:53.054
Really?

674
00:27:53.995 --> 00:27:54.155
Yeah.

675
00:27:55.218 --> 00:27:56.101
So I'm gonna dive,

676
00:27:56.257 --> 00:27:57.241
 we're gonna dive deeper in there.

677
00:27:57.280 --> 00:27:58.741
 Now we're gonna go a little bit in the deep end.

678
00:27:58.960 --> 00:28:00.944
 Let me put on my life jacket on real quick because.

679
00:28:01.382 --> 00:28:01.804
Let's do it.

680
00:28:03.241 --> 00:28:05.210
Activity metrics with collateral.

681
00:28:06.569 --> 00:28:08.163
 I'm marketing program,

682
00:28:08.210 --> 00:28:09.554
 we are doing a QBR.

683
00:28:10.319 --> 00:28:10.538
 Zach,

684
00:28:10.569 --> 00:28:12.694
 how many like one pages have we created this quarter?

685
00:28:14.241 --> 00:28:14.554
Ah,

686
00:28:15.585 --> 00:28:15.804
 okay.

687
00:28:16.062 --> 00:28:17.523
 that type of an activity metric.

688
00:28:17.962 --> 00:28:19.262
 So thanks for clarifying that.

689
00:28:19.764 --> 00:28:20.522
 Nobody's business.

690
00:28:20.982 --> 00:28:24.127
 I think that's a waste of time to even like report on that.

691
00:28:24.744 --> 00:28:26.025
 When I say activity metrics,

692
00:28:26.064 --> 00:28:28.346
 I actually mean the customer's activity metrics.

693
00:28:29.127 --> 00:28:31.588
 And so what is the customer doing?

694
00:28:31.744 --> 00:28:31.986
 And so,

695
00:28:32.221 --> 00:28:32.471
 you know,

696
00:28:32.611 --> 00:28:33.580
 engagement metrics.

697
00:28:34.268 --> 00:28:38.127
 Great example of this is if you've got a whole bunch of resources on your website,

698
00:28:39.064 --> 00:28:43.111
 I actually think qualified consumption is a metric that more

699
00:28:43.350 --> 00:28:44.031
 product marketers,

700
00:28:44.091 --> 00:28:45.892
 content marketers should be looking at.

701
00:28:46.533 --> 00:28:52.596
 What that means is a blog post that has a session with a blog post that's more than 10 seconds,

702
00:28:52.642 --> 00:28:53.260
 20 seconds,

703
00:28:53.517 --> 00:28:54.182
 that's gold.

704
00:28:55.502 --> 00:28:57.361
 A video view of more than a minute,

705
00:28:57.525 --> 00:28:58.127
 that's gold,

706
00:28:58.627 --> 00:28:58.822
 right?

707
00:28:58.861 --> 00:29:00.267
 A podcast download and listen,

708
00:29:00.330 --> 00:29:00.861
 that's gold.

709
00:29:01.455 --> 00:29:11.783
 And so you do want to look at those customer activity metrics because those are leading indicators of what you're putting out there in the world are actually sort of being consumed or not.

710
00:29:12.526 --> 00:29:14.848
 People rail against open rates on emails.

711
00:29:15.229 --> 00:29:16.270
 They have their problems.

712
00:29:16.411 --> 00:29:17.290
 It's not accurate.

713
00:29:17.649 --> 00:29:18.774
 But if your open rates,

714
00:29:19.094 --> 00:29:21.876
 if your click-through rates on your emails are going up and to the right,

715
00:29:22.579 --> 00:29:23.180
 that's a good thing.

716
00:29:23.555 --> 00:29:24.657
 That's not a vanity metric.

717
00:29:25.219 --> 00:29:26.618
 If your total traffic is going up,

718
00:29:27.001 --> 00:29:27.540
 it's a good thing.

719
00:29:27.563 --> 00:29:28.649
 It's not a vanity metric.

720
00:29:29.290 --> 00:29:32.352
 So that's what I meant when I was thinking about activity metrics.

721
00:29:32.399 --> 00:29:32.790
 But yeah,

722
00:29:32.883 --> 00:29:33.102
 like,

723
00:29:34.680 --> 00:29:34.962
 you know,

724
00:29:36.477 --> 00:29:38.024
 how many one-pagers did I create?

725
00:29:38.290 --> 00:29:39.415
 Probably less important.

726
00:29:39.649 --> 00:29:40.446
 In some cases,

727
00:29:40.508 --> 00:29:40.649
 it's...

728
00:29:40.850 --> 00:29:53.971
 kind of important but not like okay let's look at bdrs and sdrs right i think activity metrics are important for them because that's kind of it's that's the game it's kind of very similar to your engagement rate on

729
00:29:54.480 --> 00:29:54.862
 an ad,

730
00:29:55.707 --> 00:29:55.908
 right?

731
00:29:55.948 --> 00:29:57.939
 If you if you're not reaching enough people,

732
00:29:58.744 --> 00:30:03.549
then obviously you're not going to have the impact that you think you had.

733
00:30:04.088 --> 00:30:04.670
 So SDR,

734
00:30:04.689 --> 00:30:05.951
 BDR work that way.

735
00:30:06.053 --> 00:30:07.811
 Like it's a game of numbers.

736
00:30:08.272 --> 00:30:09.553
 It's a one-to-many exercise.

737
00:30:10.936 --> 00:30:15.443
 So you have to contextualize it for the specific use case.

738
00:30:15.818 --> 00:30:16.365
 I don't know.

739
00:30:16.366 --> 00:30:17.162
 That was my take.

740
00:30:18.381 --> 00:30:19.803
I agree with you from a sales perspective.

741
00:30:20.725 --> 00:30:26.178
 Like number activity is what's going to like lay the foundation down.

742
00:30:26.271 --> 00:30:27.334
 I think where...

743
00:30:27.736 --> 00:30:34.102
 we struggle in is taking this one size fits all approach and applying it to product marketing.

744
00:30:34.403 --> 00:30:35.164
 The value,

745
00:30:35.262 --> 00:30:36.645
 like what Eric mentioned earlier,

746
00:30:36.965 --> 00:30:41.707
 the value of product marketing is creating a volume of content.

747
00:30:42.754 --> 00:30:47.160
 And that is enough to justify our value.

748
00:30:47.270 --> 00:30:49.098
 And you hear it in some conversations,

749
00:30:49.145 --> 00:30:49.504
 Pranav,

750
00:30:49.551 --> 00:30:54.082
 where I was talking to a product marketing peer and they mentioned,

751
00:30:54.942 --> 00:30:55.098
 well,

752
00:30:55.348 --> 00:30:56.692
 I build a sales enablement hub.

753
00:30:57.144 --> 00:30:59.884
 And that's what's influencing the sales numbers.

754
00:30:59.904 --> 00:31:00.144
 I'm like,

755
00:31:00.145 --> 00:31:00.265
 well,

756
00:31:00.285 --> 00:31:00.464
 how?

757
00:31:01.804 --> 00:31:02.125
 They're like,

758
00:31:02.144 --> 00:31:02.285
 well,

759
00:31:02.367 --> 00:31:02.964
 they're using it.

760
00:31:03.285 --> 00:31:03.586
 I'm like,

761
00:31:04.886 --> 00:31:05.328
 in what way?

762
00:31:05.445 --> 00:31:05.648
 Like,

763
00:31:05.703 --> 00:31:05.945
 are they,

764
00:31:06.062 --> 00:31:07.086
 do they just click it,

765
00:31:07.226 --> 00:31:07.648
 open it?

766
00:31:08.046 --> 00:31:19.406
 So I think like we've kind of warped ourselves in this belief that if I create a piece of collateral and it's used on a sales call and I helped and as close as a deal,

767
00:31:20.203 --> 00:31:21.593
 that collateral closed the deal.

768
00:31:21.656 --> 00:31:21.765
 No,

769
00:31:21.766 --> 00:31:22.187
 it didn't.

770
00:31:23.328 --> 00:31:24.734
 It might have influenced it,

771
00:31:25.531 --> 00:31:26.312
 but no one.

772
00:31:26.332 --> 00:31:27.994
 One of my Pico Civil One patrons.

773
00:31:28.054 --> 00:31:29.035
Back on this and say,

774
00:31:30.035 --> 00:31:31.336
 not everything needs to be measured.

775
00:31:32.660 --> 00:31:33.117
 So again,

776
00:31:33.137 --> 00:31:36.965
 this is a counter point and might be surprising to some.

777
00:31:38.004 --> 00:31:38.965
 Why Pranav,

778
00:31:39.809 --> 00:31:41.746
 the guy who builds measurement software,

779
00:31:42.191 --> 00:31:43.957
 is saying that not everything needs to be measured.

780
00:31:43.973 --> 00:31:45.676
 Because it really doesn't need to be measured.

781
00:31:47.144 --> 00:31:49.254
 If you look at the best teams,

782
00:31:49.660 --> 00:31:53.285
 am I going to go measure the productivity of my creative team?

783
00:31:53.441 --> 00:31:53.551
 No,

784
00:31:53.691 --> 00:31:54.113
 I'm not.

785
00:31:54.888 --> 00:31:56.669
 Like that's not a good use of time.

786
00:31:56.670 --> 00:31:57.470
 It's not a factory,

787
00:31:57.591 --> 00:31:57.790
 right?

788
00:31:59.050 --> 00:32:04.839
 The best advertising copy creative does not come under factory environments.

789
00:32:05.660 --> 00:32:07.277
 So just like that,

790
00:32:07.644 --> 00:32:10.386
 some of the product marketing work is like that.

791
00:32:10.503 --> 00:32:12.886
 It's true creative work that,

792
00:32:13.824 --> 00:32:14.089
 you know,

793
00:32:15.027 --> 00:32:16.464
 a great pitch deck,

794
00:32:18.949 --> 00:32:22.152
 you're just going to know your sales teams are going to be like,

795
00:32:23.042 --> 00:32:23.871
 holy shit,

796
00:32:24.214 --> 00:32:24.574
 Zach.

797
00:32:24.988 --> 00:32:25.909
 This is amazing.

798
00:32:27.450 --> 00:32:28.751
 And that's good enough.

799
00:32:29.911 --> 00:32:30.712
 The trouble is,

800
00:32:31.415 --> 00:32:36.740
 when you come from a defensive mindset and a defensive situation where you're having to prove your worth,

801
00:32:38.138 --> 00:32:38.982
 because,

802
00:32:39.904 --> 00:32:40.146
 again,

803
00:32:40.161 --> 00:32:44.825
 the hippos don't understand what product marketing is and product marketing does.

804
00:32:45.622 --> 00:32:47.450
 And so if you find yourself in that situation,

805
00:32:47.497 --> 00:32:51.950
 I can appreciate some marketers coming up with these activity metrics as a way to prove their worth.

806
00:32:53.168 --> 00:32:57.392
 But I think the motivation and just it's a symptom of the dysfunction.

807
00:32:58.974 --> 00:33:02.259
 And so I don't blame anybody for doing it.

808
00:33:02.439 --> 00:33:04.876
 I'm like blaming the system that let it happen.

809
00:33:06.720 --> 00:33:08.462
 And my advice to those folks would be like,

810
00:33:08.501 --> 00:33:08.743
 hey,

811
00:33:09.267 --> 00:33:10.626
 if that's the situation you're in,

812
00:33:11.689 --> 00:33:12.501
 two things are going to happen.

813
00:33:13.064 --> 00:33:18.017
 One is you are either going to be out of a job in about 18 months.

814
00:33:18.360 --> 00:33:22.814
 You yourself are going to find yourself feeling that I'm not adding value.

815
00:33:24.012 --> 00:33:32.762
 And so might as well change the conversation of the situation proactively rather than just let it to chance and fate.

816
00:33:33.762 --> 00:33:34.582
 I don't know if that helps,

817
00:33:34.583 --> 00:33:36.863
 but that's my honest take that you don't have to measure everything.

818
00:33:37.004 --> 00:33:38.723
 We're hiring our first marketer and salespeople.

819
00:33:38.770 --> 00:33:43.598
 The way we measure their success is going to be dramatically different from anything I've seen in B2B SaaS.

820
00:33:44.816 --> 00:33:48.254
 And you need to go towards those type of marketing teams.

821
00:33:50.301 --> 00:33:50.441
Well,

822
00:33:50.504 --> 00:33:52.582
 then I want to flip that on you.

823
00:33:53.952 --> 00:33:58.373
 What do you think are the things that people are not measuring that you are just,

824
00:33:58.912 --> 00:34:00.154
 you're dumbfounded by,

825
00:34:00.252 --> 00:34:02.572
 that you feel like they should be and have to be measuring,

826
00:34:02.775 --> 00:34:08.893
 and it's just not helping both the product marketing and everyone else on the marketing side of the house?

827
00:34:09.955 --> 00:34:10.096
Yeah,

828
00:34:10.283 --> 00:34:10.393
 so

829
00:34:11.143 --> 00:34:11.893
 I've, you know,

830
00:34:11.908 --> 00:34:17.783
 I've been talking about incrementality and the concept of incrementality for a good part of the last two years,

831
00:34:17.861 --> 00:34:20.596
 and I can tell you that 99%

832
00:34:20.611 --> 00:34:23.064
 of B2B organizations have no clue.

833
00:34:23.780 --> 00:34:26.542
 about the incrementality of their investments.

834
00:34:27.503 --> 00:34:29.187
 So if I were to look at your marketing,

835
00:34:29.886 --> 00:34:30.124
 you know,

836
00:34:30.226 --> 00:34:31.386
 line item by line item,

837
00:34:31.710 --> 00:34:32.265
 your budget,

838
00:34:33.187 --> 00:34:34.288
 you've got a bunch of headcount,

839
00:34:34.992 --> 00:34:35.851
 you've got a bunch of,

840
00:34:36.351 --> 00:34:36.593
 you know,

841
00:34:36.594 --> 00:34:38.992
 what I call sort of creative and production,

842
00:34:40.031 --> 00:34:40.874
 those things,

843
00:34:41.984 --> 00:34:45.687
 you don't need to measure the ROI on that makes no sense.

844
00:34:47.359 --> 00:34:49.468
 So creative productions,

845
00:34:49.499 --> 00:34:52.234
 like how much am I paying my web designer and my video producer,

846
00:34:52.312 --> 00:34:52.952
 like that's

847
00:34:53.917 --> 00:34:55.306
 That is the cost of doing business.

848
00:34:56.365 --> 00:34:56.525
 Right.

849
00:34:56.705 --> 00:34:59.985
 That is the actual sort of fuel that you're putting into the engine.

850
00:34:59.986 --> 00:35:01.786
 And the engine is the remaining.

851
00:35:02.208 --> 00:35:04.770
 Let's say that ends up being like 40 percent of your total budget.

852
00:35:05.106 --> 00:35:11.770
 You've got the remaining 60 percent and that remaining 60 percent is spread across your advertisements,

853
00:35:12.466 --> 00:35:15.388
 your specific SEO investments,

854
00:35:16.106 --> 00:35:17.544
 your PR investments,

855
00:35:18.247 --> 00:35:19.309
 your you know.

856
00:35:20.044 --> 00:35:25.653
 And then you have a bunch of channels or mediums that are not consuming any.

857
00:35:25.993 --> 00:35:43.049
 paid dollars your life cycle stuff right so your emails your in-app those are owned channels so all of that stuff the 60 that's outside of creative and production outside of headcount should absolutely be measured and

858
00:35:43.705 --> 00:35:54.299
 that 60 of your marketing budget most people just stop at your paid channels they never think about seo they never think about pr they never think about organic social and

859
00:35:54.865 --> 00:35:59.051
 The reality is that all of those other things contribute,

860
00:36:00.031 --> 00:36:04.394
 can contribute a significant amount to your pipeline and to your close one.

861
00:36:05.012 --> 00:36:10.137
 You just don't do it because most marketing leadership just puts them in a separate bucket.

862
00:36:11.488 --> 00:36:13.316
 And there's no reason to do that.

863
00:36:13.410 --> 00:36:13.519
 And,

864
00:36:13.644 --> 00:36:13.863
 you know,

865
00:36:13.879 --> 00:36:17.613
 that's why we exist as a company is we level the playing field,

866
00:36:17.722 --> 00:36:18.129
 whether it's,

867
00:36:18.347 --> 00:36:18.582
 you know,

868
00:36:19.504 --> 00:36:21.004
 people use all these types of terms,

869
00:36:21.051 --> 00:36:21.238
 right?

870
00:36:22.207 --> 00:36:22.957
 In the older times,

871
00:36:22.958 --> 00:36:23.801
 it was above the line,

872
00:36:23.832 --> 00:36:24.410
 below the line.

873
00:36:24.893 --> 00:36:41.052
 it was brand and performance there was offline online it's you know the 95.5 right whatever you you name it the idea is that you have to understand the entire marketing mixes impact on your business but

874
00:36:41.083 --> 00:36:52.724
 again like it makes zero sense to look at headcount cost and creative production cost like that is those are not the variables that you are ramping up or down necessarily and

875
00:36:54.341 --> 00:36:54.481
 Yeah,

876
00:36:54.501 --> 00:36:56.702
 so that's my rough take on what you do measure,

877
00:36:56.703 --> 00:36:57.522
 what you don't measure.

878
00:36:58.102 --> 00:37:00.042
 And coming back to like the sales asset production,

879
00:37:00.081 --> 00:37:00.241
 right?

880
00:37:00.261 --> 00:37:02.725
 I put that in the creative production piece.

881
00:37:02.921 --> 00:37:03.702
 Like that is,

882
00:37:03.866 --> 00:37:05.741
 there's no reason why you need to measure that.

883
00:37:07.007 --> 00:37:10.225
 You do want to measure the success rate of your SDRs and BDRs.

884
00:37:12.725 --> 00:37:13.303
So let's say,

885
00:37:14.178 --> 00:37:15.413
Zach,

886
00:37:15.414 --> 00:37:16.225
 I got to steal it then.

887
00:37:16.272 --> 00:37:17.710
 So if 99%,

888
00:37:18.225 --> 00:37:19.210
 if you're thinking 99%

889
00:37:19.694 --> 00:37:20.522
 aren't doing that.

890
00:37:21.145 --> 00:37:27.712
 What's going to happen if a product marketer listens to this and can actually take some of this advice and make it real?

891
00:37:28.111 --> 00:37:30.337
 What would that next step be for them to say,

892
00:37:30.353 --> 00:37:30.837
 you know what,

893
00:37:32.197 --> 00:37:33.134
 I want to be a change.

894
00:37:33.158 --> 00:37:34.181
 I want to be one of those 1%

895
00:37:34.455 --> 00:37:37.306
 outliers and make a big difference in the organization.

896
00:37:38.056 --> 00:37:38.478
 Other than,

897
00:37:38.775 --> 00:37:39.056
 you know,

898
00:37:39.228 --> 00:37:40.166
 go buy your product.

899
00:37:41.259 --> 00:37:41.400
Yeah.

900
00:37:42.072 --> 00:37:49.619
 The first thing that I say is you have to start with an audit of what you're actually even doing.

901
00:37:51.277 --> 00:38:14.293
 I kid you not marketers are not even able to articulate hey how many engagements impressions are we getting across all of our different channels there are times when we onboard customers and we show them stuff for the first time after like one month of the initial onboarding phase and we say this is how your impression share is across paid social paid search owned channels and

902
00:38:14.418 --> 00:38:18.809
 it's shocking they've never seen that report before and

903
00:38:19.349 --> 00:38:20.711
 where you've got everything from,

904
00:38:20.890 --> 00:38:21.131
 you know,

905
00:38:21.232 --> 00:38:21.851
 above the line,

906
00:38:21.852 --> 00:38:22.412
 below the line.

907
00:38:22.693 --> 00:38:24.693
 Let's just use that because it's a fun terminology.

908
00:38:25.377 --> 00:38:28.717
 And so the first thing I say is like,

909
00:38:29.342 --> 00:38:34.201
 go look at everything that you're actually doing across your marketing mix and what those,

910
00:38:34.701 --> 00:38:34.943
 you know,

911
00:38:35.404 --> 00:38:38.123
 impressions or engagements are over time.

912
00:38:38.623 --> 00:38:39.607
 How have they shifted?

913
00:38:40.654 --> 00:38:43.060
 Is it basically like whatever you're doing,

914
00:38:43.467 --> 00:38:45.092
 it's been consistent for like 12 months.

915
00:38:45.279 --> 00:38:48.263
 And so you've not actually made any changes in your marketing mix.

916
00:38:48.489 --> 00:38:49.150
 You see what I'm saying?

917
00:38:49.990 --> 00:38:52.574
 We thought that LinkedIn is doing really well.

918
00:38:52.832 --> 00:38:53.172
 Guess what?

919
00:38:53.332 --> 00:38:54.133
 The last 12 months,

920
00:38:54.235 --> 00:38:55.758
 LinkedIn impressions have been flat.

921
00:38:57.297 --> 00:38:59.078
 So what's going on?

922
00:38:59.321 --> 00:38:59.500
 Like,

923
00:38:59.844 --> 00:39:00.860
 how can that be true?

924
00:39:01.485 --> 00:39:03.844
 And we have this perception that we're doing great on LinkedIn,

925
00:39:04.242 --> 00:39:04.406
 right?

926
00:39:04.781 --> 00:39:05.891
 Look at the actual data,

927
00:39:06.031 --> 00:39:06.203
 right?

928
00:39:06.219 --> 00:39:08.969
 Like visually look at what you're doing in each channel,

929
00:39:09.266 --> 00:39:10.266
 put it in a spreadsheet,

930
00:39:10.375 --> 00:39:11.235
 you can put that into

931
00:39:11.875 --> 00:39:15.297
 Claude and chat GPT and ask it like,

932
00:39:15.328 --> 00:39:15.500
 hey,

933
00:39:15.563 --> 00:39:17.500
 what are the key observations that you get from this data.

934
00:39:17.757 --> 00:39:19.219
 You don't need to buy fancy software.

935
00:39:20.181 --> 00:39:21.443
 If just get the data,

936
00:39:21.644 --> 00:39:22.506
 put it in a spreadsheet,

937
00:39:22.545 --> 00:39:24.908
 put it in chat GPT and ask it like five questions.

938
00:39:25.713 --> 00:39:27.135
 That itself is a great starting point.

939
00:39:28.966 --> 00:39:36.592
So let's say there's a fellow CMO who accidentally stumbled on the podcast because they were trying to listen to marketing scientists instead.

940
00:39:38.018 --> 00:39:41.916
 And they fall into one of your four data pitfalls,

941
00:39:42.377 --> 00:39:45.424
 which is cherry picking what you're sharing here so far.

942
00:39:46.159 --> 00:39:46.502
 And

943
00:39:46.862 --> 00:39:47.346
 I hear,

944
00:39:48.284 --> 00:39:48.440
 oh,

945
00:39:48.690 --> 00:39:50.502
 creative is the cost of doing business,

946
00:39:51.034 --> 00:39:52.893
 but I don't want to do an audit.

947
00:39:53.846 --> 00:39:56.159
 My sales pipeline is on life support.

948
00:39:56.894 --> 00:40:01.177
 Let's do a creative rebrand to increase our enterprise footprint.

949
00:40:02.041 --> 00:40:02.619
 I hear Chuck,

950
00:40:02.638 --> 00:40:04.103
 I'm curious to hear your reaction here.

951
00:40:04.623 --> 00:40:09.166
 Do rebrands really revitalize the organization?

952
00:40:09.267 --> 00:40:11.306
 Is it something worth measuring?

953
00:40:11.791 --> 00:40:18.861
 Because I feel like product marketers at times get thrown into the rebrand mix of putting on a gloss of paint,

954
00:40:18.939 --> 00:40:21.064
 but nothing's really changed.

955
00:40:22.783 --> 00:40:22.939
Yeah,

956
00:40:23.017 --> 00:40:24.986
 I think there was a good post from Elena.

957
00:40:25.267 --> 00:40:26.142
 She's like the meme.

958
00:40:26.478 --> 00:40:26.738
 Yes.

959
00:40:28.199 --> 00:40:30.682
 I don't know why I am blanking on her last name,

960
00:40:30.744 --> 00:40:31.861
 but she's awesome.

961
00:40:31.862 --> 00:40:33.725
I know she's at growth at Dropbox now,

962
00:40:33.947 --> 00:40:34.369
 I believe.

963
00:40:34.424 --> 00:40:35.346
Yeah.

964
00:40:35.347 --> 00:40:36.986
 And she's advised companies like Miro,

965
00:40:37.205 --> 00:40:37.971
 Amplitude,

966
00:40:38.088 --> 00:40:38.213
 all.

967
00:40:38.214 --> 00:40:39.869
 Elena Verna.

968
00:40:41.330 --> 00:40:41.651
 Verna.

969
00:40:41.854 --> 00:40:42.197
 That's right.

970
00:40:42.198 --> 00:40:42.619
 Elena Verna.

971
00:40:42.697 --> 00:40:43.088
 And she's,

972
00:40:43.260 --> 00:40:44.729
 she's an investor in Paramark as well.

973
00:40:44.791 --> 00:40:45.776
 So shout out to her.

974
00:40:46.479 --> 00:40:47.385
 She said something right.

975
00:40:47.401 --> 00:40:49.338
 Like she has never seen a rebrand actually work.

976
00:40:49.713 --> 00:40:51.041
 Like there are always exceptions,

977
00:40:51.166 --> 00:40:53.244
 but like rule of thumb,

978
00:40:54.010 --> 00:40:55.947
 you'd be lucky if you just break even.

979
00:40:56.222 --> 00:40:59.505
 which means nothing breaks in your funnel.

980
00:41:00.685 --> 00:41:01.646
 That's the you know,

981
00:41:01.888 --> 00:41:02.490
 the target.

982
00:41:03.111 --> 00:41:04.689
 So my honest take,

983
00:41:04.712 --> 00:41:06.673
 I don't think rebrands are necessary.

984
00:41:07.275 --> 00:41:10.392
 There are some cases where you might have to do them.

985
00:41:10.478 --> 00:41:11.197
 I'll give you an example.

986
00:41:11.220 --> 00:41:13.673
 There was a point of time where the company that I was at,

987
00:41:14.064 --> 00:41:15.080
 we were going through a major,

988
00:41:16.236 --> 00:41:18.189
 I am the one who initiated a major rebrand.

989
00:41:19.158 --> 00:41:24.876
 And for all types of very coincidental reasons we did not end up actually doing it.

990
00:41:25.564 --> 00:41:25.798
 But

991
00:41:26.398 --> 00:41:31.298
 The hypothesis there was our name itself was the product.

992
00:41:32.599 --> 00:41:39.224
 And what I mean by that is we had captured the market for the thing that we said we would capture the market.

993
00:41:39.662 --> 00:41:40.318
 And now we're like,

994
00:41:40.365 --> 00:41:42.849
 we're going to where are we going to get the next level of growth from?

995
00:41:43.615 --> 00:41:45.256
 And the name became a hindrance.

996
00:41:46.224 --> 00:41:49.631
 So the hypothesis here was not about changing.

997
00:41:50.131 --> 00:41:50.240
 Oh,

998
00:41:50.256 --> 00:41:51.521
 we're not resonating with the market.

999
00:41:51.522 --> 00:41:51.646
 No,

1000
00:41:51.647 --> 00:41:51.724
 no,

1001
00:41:51.725 --> 00:41:51.818
 no,

1002
00:41:51.865 --> 00:41:54.084
 we're going to launch these five new products.

1003
00:41:54.794 --> 00:41:56.035
 There are great additions,

1004
00:41:56.696 --> 00:42:04.023
 but our name is literally a hindrance to those five other products because it's so specific to this one feature that we built.

1005
00:42:05.367 --> 00:42:06.367
 And so,

1006
00:42:06.703 --> 00:42:07.086
 again,

1007
00:42:07.304 --> 00:42:09.992
 you have to have a hypothesis of why are you even doing the rebrand.

1008
00:42:10.765 --> 00:42:12.875
 If you say that you're not resonating with enterprise,

1009
00:42:13.250 --> 00:42:14.015
 what's the proof point?

1010
00:42:14.640 --> 00:42:15.359
 What's the evidence?

1011
00:42:17.234 --> 00:42:19.125
 Have you gone and talked to enterprise people?

1012
00:42:19.640 --> 00:42:22.625
 Have they expressed anything about your messaging that's not resonating?

1013
00:42:23.334 --> 00:42:24.936
 why can't we fix it with messaging itself?

1014
00:42:25.036 --> 00:42:26.058
 Why do we need a rebrand?

1015
00:42:26.456 --> 00:42:26.616
 Right?

1016
00:42:27.300 --> 00:42:28.679
 Is the right starting point.

1017
00:42:28.737 --> 00:42:30.202
 And then if you come in and say like,

1018
00:42:30.241 --> 00:42:30.402
 yeah,

1019
00:42:30.523 --> 00:42:34.925
 we've got all the proof points to say a rebrand is the only way we can achieve it.

1020
00:42:35.605 --> 00:42:36.066
 Go for it.

1021
00:42:37.191 --> 00:42:38.206
I love the hypothesis.

1022
00:42:38.847 --> 00:42:38.972
 I'm,

1023
00:42:40.027 --> 00:42:40.448
 I'm done.

1024
00:42:40.667 --> 00:42:41.886
 I'm like in the quick

1025
00:42:42.495 --> 00:42:43.214
 46 minutes,

1026
00:42:43.230 --> 00:42:47.433
 you've transformed this virtual recording studio into a virtual weight room and you know,

1027
00:42:47.855 --> 00:42:48.339
 I'm cooked.

1028
00:42:49.886 --> 00:42:50.402
I'm glad.

1029
00:42:51.214 --> 00:42:51.464
Yeah,

1030
00:42:51.589 --> 00:42:52.261
 this was awesome.

1031
00:42:52.654 --> 00:42:57.500
 I've already feeling like taking some stuff back and having some interesting conversations.

1032
00:42:57.778 --> 00:42:58.098
 I'd say,

1033
00:42:58.219 --> 00:42:58.461
 you know,

1034
00:42:58.462 --> 00:42:59.422
 as we sign off here,

1035
00:42:59.481 --> 00:43:00.102
 we're definitely,

1036
00:43:00.606 --> 00:43:00.840
 you know,

1037
00:43:00.918 --> 00:43:02.325
 want to make sure you have some space.

1038
00:43:02.364 --> 00:43:02.481
 So,

1039
00:43:04.809 --> 00:43:06.411
 other than catching you on LinkedIn,

1040
00:43:07.770 --> 00:43:08.715
 anything else going on?

1041
00:43:08.825 --> 00:43:13.481
 Got anything else cooking or anything else you want to let our audience know about before we let you go?

1042
00:43:14.668 --> 00:43:14.793
No,

1043
00:43:14.856 --> 00:43:14.981
 it's,

1044
00:43:15.137 --> 00:43:15.559
 it's yeah,

1045
00:43:15.684 --> 00:43:15.918
 great.

1046
00:43:15.997 --> 00:43:19.340
 So go check out the marketing scientists podcast.

1047
00:43:19.534 --> 00:43:20.855
 That's the podcast that I host.

1048
00:43:21.036 --> 00:43:25.779
 I just finished recording this morning with Kerry Cunningham from Sixth Sense.

1049
00:43:26.040 --> 00:43:29.966
 He is their lead analyst and he spent a bunch of time at Forrester.

1050
00:43:30.122 --> 00:43:34.607
 And we had a great conversation about all things third-party intent,

1051
00:43:34.693 --> 00:43:35.818
 first-party intent,

1052
00:43:35.943 --> 00:43:36.771
 all that fun stuff.

1053
00:43:37.396 --> 00:43:37.724
 So yeah,

1054
00:43:37.990 --> 00:43:38.833
 Marketing Scientists,

1055
00:43:38.990 --> 00:43:39.787
 that's the podcast.

1056
00:43:39.818 --> 00:43:40.271
 Go check it out.

1057
00:43:43.083 --> 00:43:48.068
We're just going to put you to your name as a co-host for this episode to drive the listeners from your podcast to us.

1058
00:43:50.695 --> 00:43:52.977
I don't know if my audience is bigger than your audience,

1059
00:43:52.978 --> 00:43:53.438
 so there we go.

1060
00:43:54.798 --> 00:43:55.419
We'll measure it,

1061
00:43:55.438 --> 00:43:58.767
 but we'll ask for your discretion first to see if it's worthy to be measured.

1062
00:43:59.243 --> 00:43:59.384
 Eric,

1063
00:43:59.423 --> 00:44:03.946
 you're on mute,

1064
00:44:03.970 --> 00:44:04.087
 bro.

1065
00:44:05.548 --> 00:44:06.485
 Hashtag season five.

1066
00:44:07.235 --> 00:44:07.548
Dude,

1067
00:44:07.549 --> 00:44:09.298
 I hit the space button like a rookie.

1068
00:44:09.860 --> 00:44:13.563
 But I just want to say to everyone else here who isn't familiar,

1069
00:44:14.110 --> 00:44:19.001
 I was lucky enough to listen to a presentation with our guest.

1070
00:44:19.254 --> 00:44:19.394
 what,

1071
00:44:19.475 --> 00:44:20.376
 nine months ago-ish.

1072
00:44:21.638 --> 00:44:24.365
 And I've been thinking about it ever since and how,

1073
00:44:24.662 --> 00:44:24.904
 you know,

1074
00:44:25.384 --> 00:44:26.185
 we really need to,

1075
00:44:26.666 --> 00:44:26.888
 you know,

1076
00:44:26.889 --> 00:44:29.092
 do a better job in measurement and what we measure.

1077
00:44:29.889 --> 00:44:33.874
 So now that I know that Paramark is actually live,

1078
00:44:34.734 --> 00:44:36.617
 I suggest everyone go check out the websites,

1079
00:44:37.355 --> 00:44:38.300
 maybe get on a demo,

1080
00:44:38.957 --> 00:44:39.902
 see if it's a good fit.

1081
00:44:40.457 --> 00:44:44.441
 Because I'm really bullish that it can do a lot for us and make us look a lot better in our roles.

1082
00:44:45.183 --> 00:44:47.113
Just write down that you're coming from We're Not Marketers.

1083
00:44:47.144 --> 00:44:49.113
I'll give you 99%

1084
00:44:49.253 --> 00:44:49.707
 of what you said.

1085
00:44:50.191 --> 00:44:52.035
 But in all fairness,

1086
00:44:52.113 --> 00:44:53.894
 another great episode of

1087
00:44:54.238 --> 00:44:56.378
 We're Not Marketers.

1088
00:44:56.628 --> 00:44:58.253
 And we will catch you guys next time.

1089
00:45:02.151 --> 00:45:03.774
All right.

1090
00:45:04.012 --> 00:45:05.997
 See you guys.

1091
00:45:06.239 --> 00:45:10.165
 Thank you very much.

1092
00:45:10.305 --> 00:45:10.587
 Bye.

