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Hello, and welcome, everybody. This is Joe from startup rate dot

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io. Welcome you to another episode

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of start up rate dot io, the authority on German Swiss and

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Austrian startups. Today, I do have Chris with my. And,

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no, it's not my cofounder. It's Chris Holcher. Hey, Chris. How are you

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doing? Hey, Joe. Good to be here. Thanks for

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having me. Totally. My pleasure.

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Today, we will be talking about analyst relations.

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But before we get into that, a little message from our partner.

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exclusive for our audience, and just click on link in the show

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notes and use this to subscribe. If you go back and forth,

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you won't get the 2 pieces. Sorry. That

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done, Chris. We're talking about here analyst relations,

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but I have a financial services background

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and which I have been, what I've

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been talk what I hadn't had in my

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mind when when when, you started

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approaching me with analyst relations with some investment analyst.

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But that's not the case. We are talking about analyst

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relations in big, companies like

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Gartner or Forrester. But before we get into that,

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how did you get this interesting and very unique job?

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Well, get say I'll I'll try cut the long story short. So I I've always

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played at the intersection between innovation management, marketing,

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product marketing, product development. And,

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roughly 15, 20 years ago, I was with a large company called BT Global

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Services. I was a product manager there and a product marketing

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manager, later. And I was approached to

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run, a Gartner, Magic Quadrant

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submission. I had no idea what that was. In short, Gartner is the

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largest analyst firm in the world, and their Magic Quadrant is their flagship

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product that is rating, vendors in

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that specific market. So, I was asked to run that

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submission for the entire company, so I did, and we did extremely well.

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We went from a niche vendor to a leader in that Magic

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Quadrant. So they asked me again and again and again, in the

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following years, and we did, very well. It's, was a thing

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that immediately clicked with me. And, at some point,

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I made the switch to run their entire, analyst

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relations, program for various parts parts of their portfolio. That was the

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compute portfolio, but also their innovation portfolio. And,

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one thing that I've heard over and over again from analysts was that they love

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to speak to the real innovators in the market, which is very often

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startup, but they cannot really afford spending all that much time with

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startups because young companies very often have no conception of

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analyst relations. And if they know about the term at all, they often have

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misconceptions about it, which makes it not time well spent for an

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analyst, to reach out to startup, sadly.

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So at some point, I decided to make the switch, step out of

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that mega player, and focus my knowledge and my

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understanding entirely to the benefit of startups and bring that understanding

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into the ecosystem that needs it really the most. And that

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is how I got into analyst relations for startups.

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Mhmm. Before we

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get into how you could do that, can you tell

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us a little bit of reasoning the benefits why startup

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should do that? From our conversation before,

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what I understood is it's especially important

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for startup in b to b space because a lot of the people

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who make purchase decisions, cover

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cover themselves, cover the jobs, when they can say,

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look, it's in this Forrester. It's in this Gartner analyzers.

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It's in the metric quadrant, whatever. So basically,

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they have external validation of their decision.

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Is that one of the big points? That is absolutely true. Yes.

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Well, maybe very quick introduction what analysts actually are.

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So analysts, there are roughly 10,000 analysts in the world,

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scattered around 700 different firms, of which Gartner is by far

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the largest one. Then there's IDC and Forrester as the big three.

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Then there's a medium section, also generalists,

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like like, Omdia or GigaOm, RedMonk or so that

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they that have, basically a broad spectrum of

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areas that they cover, but they're medium sized firms. And then

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there are a whole lot of specialists. Like, in Germany, we have Koppenger

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Koehl, who are security specialists and identity, men

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specialists, so very good at what they do, or IoT Analytics, also

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a German company, very good at what they do, obviously,

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Internet of Things related topics. But they're small. They're maybe,

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like, 15, 20, or a 100 people, so very

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specialized. So, also important to understand

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the you know, why analyst relations is important. It's important to

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understand what they're used for. And the first,

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the first thing is, as you mentioned, buyers are using analysts to

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protect them kind of from overly confident marketing. So,

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you can win new customers through analysts, and that is,

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because, in b to b tech, 3 and 4

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CIOs say that analyst publications and their direct guidance,

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on their purchasing challenges are,

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our analysts, are are there are the number one impact in their short

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listing and buying decisions. And that is, you know, just to

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give you a dimension, a single analyst has 750 to

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2000 interactions with buyers, and

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and potential partners of yours, per year. That is a single

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person. And you cannot just leave that, impact,

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to your competition. Then there is a second reason.

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So, of course, through all those interactions that an analyst has with a with a

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buyer, they get really deep understanding

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of the demand and of their motivations, of their architectures,

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frankly, also of the the entire decision making context. So they

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understand extremely deeply and extremely at a great breadth and

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depth, they understand the market. So vendors

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can use that, on an aggregate basis to

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inform their portfolio decisions, their road map decisions, their go to

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market, their messaging, what resonates, what kind of language works with

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buyers and whatnot, at what point in time, and for what reasons and all

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that. So you can make better informed decisions much quicker.

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And we both know, and our audience probably as well, that,

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especially with startup ups, it's all about making bolder decisions

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faster than your rivals. So, that is what

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analysts can, absolutely essential doing,

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especially in the b to b tech world where where everything is so fast paced

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and it's very unforgiving. And then, of course, you can get a quite a

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marketing boost out of, analysts once you get mentioned in one of their

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reports. And that doesn't have to be the magic quadrant. In fact, the MQ is

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not not really designed for a starter. It can

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be a 1000000 other types of reports like investor reports or,

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innovation reports, technology reports, market reports, and so on. There's a

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plethora. Emerging tech radar is is a thing or

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Gartner hype cycle report. If you get mentioned in there as

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one of a handful of example vendors for a specific,

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technology, you can use that as third party validation of your

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relevance and your your quality really as a vendor

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to to people who may consider, buying your thing or

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to, you know, have third party validation for your thought

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leadership paper and things like this. So this can be very, very

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impactful. And last but least, also investors, of course, do

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inquire with with analysts to qualify innovation, to

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qualify trends and demand. And they, you know, they they

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want to see AR savvy startup because

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it tells them that you are of a certain maturity in your management

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and you understand this super important part of the playing field.

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And, and, of course, that entirely changes their

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their risk calculation and thereby impacts

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your term sheet, if you are on the radars of the

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most, influential analysts. So one thing that, you know,

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the the the the hyper successful

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startup of the last years, companies like CoreAI, for

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example, they have been on the radar of,

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analysts very, very early on. They've been a cool vendor with Gartner,

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I don't know, 7 years ago or something. And just 2 years later, they made

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it into one of their flagship reports, and now they are a multibillion dollar

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company because of the enormous impact

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of industry analysts. And, that's kind of the reason

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why you want to be, in that game.

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Sounds pretty much like a marketing boost

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or a marketing shortcut, a marketing hack to to be

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in there even though it's not as easy. Do step

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x then do step y. It's a little bit more complicated.

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But in general, you have a

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few steps you can do to approach

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an analyst. How would you

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prepare as a startup to get there?

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We may tell the audience that we are right now looking a little

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bit at, a theoretical approach to

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do an analyst briefing to one of those big analysts

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and tell him or her what is so special about

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your product, what's so special about your company, why he should include

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you. Yes. Okay. Let me say one

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thing just before I answer your question, to

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to to handle the assumption that, analyst relations is predominantly

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a marketing thing. Marketing is probably the most visible part

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of it. But, I've done a lot of research myself together with

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the University of Edinburgh Business School, and we may get to that later,

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that the marketing section of analyst relations, the value that you're getting is

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only a fraction of the actual business value that you're getting. It's the most

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visible bit, but it's not the most strategic bit in many cases.

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So the most strategic bit is actually sharpening your your product market

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fit, sharpening your go to market, accelerating your road

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map, making the right decisions, taking risk out of your out of your

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journey, attracting better investment, and all that. So that's all non

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marketing bits of value or even attracting,

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and keeping the best talent in the world as you can demonstrate

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in your in your hiring, conversations that you are working with the

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best informed brains in the market, and that they maybe even have access

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to all that research and all that all that data and and insight.

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That can really set you apart from others, and it helps you attract and keep

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the best talent in the world. So it has a plethora of different

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values, and a good analyst relations specialist can help you,

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get hold of all that value far beyond just the marketing bits of

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it. Although, I agree the marketing bit is, of course, the most

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visible one, I mean, by nature, of course. Now

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to answer your question, so what should you do, as as a

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step? Step 1 is you, should

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make the, strategic decision, first of all, to

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qualify, is this for me or not? So

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analyst relations is not for everyone. Analyst relations

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is only relevant for real innovators.

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An innovator does not need necessarily need to be

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just technology innovation. You can be an absolute

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me too product, but you can be hyper innovative on the way how

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you deliver it or on your pricing or on your service

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or on your you know, you bring it to a new region in the world

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where it's not been available so far. So that can be, an

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innovator as well. So, but understand just

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doing the same as everybody else in the same way as everybody

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else, analyst relations will not be for you. And that is not to dismiss,

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you know, that kind of business. It can be very profitable business. It's

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just not of relevance for analysts. So you need to find out, are there

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analysts covering my thing, and is what I'm doing in the way that I'm doing

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it relevant enough for analysts to actually play with me? And

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I can help, or people like me can help,

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startup qualify this very quickly, really.

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Now, step 2 would be to make the conscious decision to

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start analyst relations as early and as strategically

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as you can afford if you're in b to b tech because it is

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of enormous impact to the success of,

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companies in that field. So Into terms of of a startup

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up maturity, when you do have product market fit

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around series a, when you're already, looking at around €1,000,000

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annual recurring revenue, that would be the point when you would start

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it? No. That that that is what most,

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VCs tend to, where where they have

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an action item of analyst relations on their on their checklist.

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But in order to be able to tick that off, you need to engage

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much much sooner. Because especially in the United States, for

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example, doing analyst relations is a standard

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much earlier in the process. And if you ask analysts, and I've done that with

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the research that I've been doing, they are

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startup much, much earlier even while you define your minimal viable

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product, even when you're still in beta phase, even way

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before you have your first, reference customers or so.

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So startup always assume they need to have a certain revenue or they need to

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have reference customers or they need to have a certain maturity. And analysts

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typically say, no. No. No. No. No. We want to hear from you before

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your pilot customers have started to mess with your ideas. Because we

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want to understand your original thinking. Because we are

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analysts. We're not, you know, we're not influencers. We don't have

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an influencer proposition where you pay us money and then we say nice things

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about you. We are here to analyze, to understand, and to

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aggregate thinking. So, they want to speak with

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you much, much sooner, and they're open to being reached out to

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very, very early even in your concept phase. And you need that early

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engagement to build up, to use the time, to build

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credibility, to build their confidence in your

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idea, in your delivery, in your completeness of vision, into your

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ability to execute so that they can actually, at some point, be

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sure that when they recommend you to inquiring

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buyers or inquiring partners or investors, that

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they are not recommending bullshit. So you need a

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certain time to build that confidence, and

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you should start that as early as possible. The cool thing

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is doing briefings with analysts is always free. So

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there's no reason, you know, to say you couldn't afford it,

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because you can start doing briefings very, very early on

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without spending a dollar or a euro on it or even a cent.

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And although briefings are typically a one way street where

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your information goes to the analyst, if you do them well, you can

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even get some feedback for your for what you're telling them

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about. And that can be enormously valuable.

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One client of mine has has has received,

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you know, recommendations to just alter their their propositions

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slightly and target specific,

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you know, personas at certain types of companies, and now

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they're getting literally hundreds of projects requests from Amazon

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Web Services. So it's done, you know and it's

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an qualitative, support that you're get, and it it

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is not always the same. It has a 1000000 different shapes, but it can be

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life changing. So you should start very early and be very clear

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about how you do it. Now once you've done that decision, the actual

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first step would be to identify the right analyst to speak to because

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they're all different. You know? As I said, there are 10,000 different analysts in the

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world, industry analysts in the world. Some are focusing on technologies,

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others are focusing on certain market segments, others are

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focusing on functions like marketing or or,

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or finance or what what have you. And most of them have a mix of

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all of this, and all of them have their different backgrounds and histories and

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and, research agendas. So you need to really figure out who

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is best positioned, to be interested in what I do

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and best positioned in terms of the companies that inquire

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with that analyst to be relevant for me. So,

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that is step number 1. Of course, that is quite difficult, and it's

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quite hard for someone who is not a professional in analyst

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relations to to figure out that fit. And, honestly, I wouldn't really

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know how to do that if I if I, you know, weren't in that

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space. So I would recommend go get yourself,

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someone into your team who has an analyst relations background who can help you do

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that or, hire an external specialist to help you through

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that phase. And that doesn't take forever. It takes a few weeks or or

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a couple of months, depending on how far you want to go, but

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it's, time and money very well spent. Once you've done

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this person also should help you to to actually prepare

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and do the rebriefing. If you threw together

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a a PowerPoint in last minute, just mix the few decks

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and, the the the and,

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don't really know what's on each slide, it won't

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it's very likely you won't get a second preview with this analyst. That

294
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is very, very true. Don't make the mistake

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of just you repurposing your marketing slides or your your

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sales pitch or your investor pitch. This is the wrong information

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delivered in the wrong way, and it's typically, you

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know, at the wrong depth and and and not in the language that

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an analyst would require. So,

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go get help, you know, structuring your briefing, focusing

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your briefing, and also you need to be very, very precise in the

302
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language that you're using. So a vision is not the same thing as a

303
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mission. A purpose is not the same thing as a vision. A strategy is

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not, I say, not a long term plan. A plan and a

305
00:19:15.679 --> 00:19:18.980
and a startup are 2 very different things in nature.

306
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So analysts are very, because they are they are all about

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telling things startup. So they need to understand very precisely what

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you're about and what you're not about. So you need to use very accurate

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language. And, if you're getting that right,

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it sets you apart from, you know, 98% of your of

311
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your rivals already. And by the way, it's also very helpful to understand your

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own business in that very accurate language and and make these

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decisions. So, yeah, design,

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a winning analyst, introductory briefing. And

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to give you an idea, the

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the structure that I've developed, for for myself

317
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is is around 10 slides or so, 10 content slides. You typically

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get 30 minutes. Of those 30 minutes, you want to

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reserve at least 5 to 10 minutes for q and a at the end. That

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gives you a maximum of, like, you know, 20 or

321
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so minutes you can actually present. And in those 20

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minutes, you need to thoroughly thoroughly explain

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your business workings. And,

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and that takes some experience. So, if

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I can I would recommend get yourself, an author relations specialist

326
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who can, help you design that?

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Once you've gotten the feedback from from the from the analyst,

328
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ideally, a feedback not like, thank you very much. Don't call us.

329
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We call you. That would that would mean that would

330
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mean you haven't made the cut. But if you get a feedback, like, that

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was very interesting. I would love to stay in touch. I would

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love to get a follow-up on this particular aspect. I would love

333
00:21:02.215 --> 00:21:05.735
to speak to one of your pilot customers or one of your, you know,

334
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gartner, or could we do an extra session on this particular aspect?

335
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That tells you the analyst has made the decision to let you

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into their, world of thinking. So that means you are in

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fact relevant to their end customers who are inquiring

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about the thing that you're offering. So that tells you

339
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it's a very thorough, a very reliable way

340
00:21:28.325 --> 00:21:32.005
of proving product market fit because that

341
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analyst is so in-depth, connected to

342
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your target audience and to the wider market in all sorts of

343
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way because they do nothing else every day. So,

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that means you're in. So you're now on the radar of that analyst. The next

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challenge is to get from the radar onto the map if you to stay in

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that picture. So you want the analyst to actually put you

347
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into one of their reports, into their, you know, publications

348
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of whichever shape or form, and, that

349
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you will need to work on. The the

350
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big dimensions are complete your completeness of vision and your

351
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ability to execute, and you need to demonstrate both,

352
00:22:13.410 --> 00:22:16.950
over time through repeated briefings and through repeated

353
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interactions with that analyst and proving to the analyst that you're

354
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working along your road map and, you know, you're following up on your on your

355
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promises and you you slowly, gradually build

356
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their confidence in your product, in your ability to

357
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deliver, in your strategy, in your ability to follow through and do the

358
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things that you you know, to execute the things that are in your startup,

359
00:22:38.990 --> 00:22:42.529
and to build that confidence that at some point, he or she is confident

360
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to recommend you, not just in direct conversations to

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to people inquiring about the type of product that you bring to market, but

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also to put you into their, innovation reports

363
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or their, their,

364
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yeah, their their bigger thinking about market trends and and predictions and and

365
00:23:02.960 --> 00:23:06.800
things like that. So that would be the next phase, which then

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consists of, a 100 different actions that you will need

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00:23:10.400 --> 00:23:12.980
to take and and and build this confidence.

368
00:23:14.294 --> 00:23:18.075
But I have to admit, with now around

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20 20 plus minutes in recording, I

370
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do believe we have made already a

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pretty big, uh-huh, moment for many

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founders out there. Just to have in mind

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that not magically some of those companies

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will have you appear in the report, but it's actually

375
00:23:40.955 --> 00:23:44.715
pretty tough work to get in there. You likely need a

376
00:23:44.715 --> 00:23:48.255
specialist. You likely need quite some time

377
00:23:48.395 --> 00:23:50.895
in order to get this done.

378
00:23:52.190 --> 00:23:56.030
It does cost some money. Do do you have a pretty rough

379
00:23:56.030 --> 00:23:59.870
idea what happened to few of your clients, what they are

380
00:23:59.870 --> 00:24:03.630
doing? I know it's it's not a one on one relation very likely. I can

381
00:24:03.630 --> 00:24:05.810
give you a couple of, examples. So,

382
00:24:07.184 --> 00:24:10.705
most impressively, maybe, when I worked with a company in

383
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the communication space, doing analyst relations,

384
00:24:15.105 --> 00:24:18.404
right, so to say, to cut it short, suddenly

385
00:24:19.790 --> 00:24:23.010
led to 5 times more more leads that they generated.

386
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At the same time, with the leads that follow through,

387
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they had a a much better win rate and, the the deals

388
00:24:32.190 --> 00:24:35.995
that they were able to win suddenly went from pretty

389
00:24:36.054 --> 00:24:39.415
operational types of deals to far more

390
00:24:39.415 --> 00:24:42.554
strategic levels of conversations and far more strategic,

391
00:24:43.255 --> 00:24:47.015
deals that they were able to close. So the individual value of the,

392
00:24:47.255 --> 00:24:50.909
of the individual deal was much bigger and which led to

393
00:24:50.909 --> 00:24:54.590
a a I'm not I hope I don't get this

394
00:24:54.590 --> 00:24:58.429
wrong. So they I've they have 5 times the leads and 4 times the

395
00:24:58.429 --> 00:25:02.110
revenue that they generated compared to previously. Now that is, of

396
00:25:02.110 --> 00:25:05.685
course, not not something that I can, you know, promise for everyone. That was,

397
00:25:05.685 --> 00:25:09.225
you know, this company being particularly successful

398
00:25:09.285 --> 00:25:13.125
with how we were able to make analyst relations work for them

399
00:25:13.125 --> 00:25:16.905
in the challenges that they had. So I'll give you another

400
00:25:16.965 --> 00:25:20.440
example. We had, I was

401
00:25:20.440 --> 00:25:24.140
working with a, with a transformation, consultancy,

402
00:25:24.840 --> 00:25:28.539
and they were able in this very difficult market environment,

403
00:25:28.600 --> 00:25:32.059
they were able, through their analyst relations, work,

404
00:25:33.799 --> 00:25:37.585
attract much more, talent that they were

405
00:25:37.585 --> 00:25:41.105
able to attract previously just because they were, they were

406
00:25:41.105 --> 00:25:44.705
able to be to offer a highly valuable

407
00:25:44.705 --> 00:25:48.165
proposition to the people that would be working for them through their access

408
00:25:48.670 --> 00:25:52.430
to top notch, industry analyst knowledge and and

409
00:25:52.430 --> 00:25:56.270
data and all that. And that was very attractive to people who would otherwise maybe

410
00:25:56.270 --> 00:26:00.030
have been working for Accenture or for McKinsey or someone, which also

411
00:26:00.030 --> 00:26:03.625
would have had analyst relations contracts, but not in the

412
00:26:03.625 --> 00:26:07.385
same way executed as this small firm was able

413
00:26:07.385 --> 00:26:10.605
to give them direct access into those, bits of research,

414
00:26:11.304 --> 00:26:15.085
because they understood how to handle it in a productive

415
00:26:15.144 --> 00:26:18.700
way. I can give you a third example, and that was, a

416
00:26:18.700 --> 00:26:22.380
company that I've worked with in the IoT space. They actually

417
00:26:22.380 --> 00:26:26.220
became a cool vendor, you know, highlighted by Gartner in one of their

418
00:26:26.220 --> 00:26:29.595
reports. And at the time, they didn't really know what to do with it. So

419
00:26:29.595 --> 00:26:33.195
they just put it on their website and nothing really more happened. A year

420
00:26:33.195 --> 00:26:36.255
later, one of their competitors from the United States,

421
00:26:38.315 --> 00:26:41.915
pretty much offering the same thing, did, was

422
00:26:41.915 --> 00:26:45.640
also highlighted as a cool vendor in the Gartner report.

423
00:26:46.500 --> 00:26:50.180
And, they knew what to do with analyst relations. So

424
00:26:50.180 --> 00:26:53.940
they actively worked with that, with

425
00:26:53.940 --> 00:26:57.700
that, visibility and with the insight that they could gain from

426
00:26:57.700 --> 00:27:00.305
it, through the analyst. And,

427
00:27:01.645 --> 00:27:05.325
and, just, 2 years later, when, the

428
00:27:05.325 --> 00:27:09.025
the first company had hired me, because they had difficulties

429
00:27:09.165 --> 00:27:13.000
in getting investor money and stuff, And we did briefings, and we

430
00:27:13.000 --> 00:27:16.440
did inquiries and and things. And I got them into a

431
00:27:16.440 --> 00:27:20.200
Gartner investor report as one of just 5 other example

432
00:27:20.200 --> 00:27:23.640
vendors in that particular field, which

433
00:27:23.640 --> 00:27:27.145
highlighted them to the market and got them a few months

434
00:27:27.145 --> 00:27:30.825
later, got them a serious, series a

435
00:27:30.825 --> 00:27:34.525
investment, at at a at a certain valuation.

436
00:27:34.825 --> 00:27:38.665
Now through that report, we were able to spot that other vendor

437
00:27:38.665 --> 00:27:42.340
in the US who appeared 1 year later, but now was

438
00:27:42.340 --> 00:27:45.800
mentioned in that same investor report. And they had already

439
00:27:45.940 --> 00:27:49.540
surpassed the the German company that I was working now

440
00:27:49.540 --> 00:27:53.160
with surpassed them because they engaged in analyst relations

441
00:27:53.220 --> 00:27:56.955
earlier in their maturity cycle. They were now at a

442
00:27:56.955 --> 00:28:00.635
valuation that was 5 times as large as the German company

443
00:28:00.635 --> 00:28:03.935
just because they started their analyst relations journey

444
00:28:04.075 --> 00:28:07.295
earlier, knew what to do, and played it

445
00:28:07.800 --> 00:28:11.640
more thoroughly, more strategically. So the German company was in the

446
00:28:11.640 --> 00:28:15.480
market a year earlier, was highlighted earlier, didn't know what to do

447
00:28:15.480 --> 00:28:18.620
with it, started analyst relations later,

448
00:28:19.160 --> 00:28:22.920
and got outplayed by 5 times the valuation within just a

449
00:28:22.920 --> 00:28:26.495
few years. So it's very different

450
00:28:26.495 --> 00:28:30.175
for every for each company, and it depends very much on your

451
00:28:30.175 --> 00:28:33.375
market situation, on your product, on your priorities that you have.

452
00:28:34.255 --> 00:28:38.010
But it can have an absolutely substantial impact on

453
00:28:38.010 --> 00:28:41.290
everything that you do. I see.

454
00:28:41.770 --> 00:28:45.610
And, that is actually not the only, piece

455
00:28:45.610 --> 00:28:49.130
of content we're doing together because you are not

456
00:28:49.130 --> 00:28:52.665
only advising startup how to get into

457
00:28:52.665 --> 00:28:54.765
those reports, but you're also,

458
00:28:56.345 --> 00:28:59.405
building knowledge? You you're doing surveys?

459
00:29:00.025 --> 00:29:03.625
Yes. Yes. When I, made the decision to switch from the dark

460
00:29:03.625 --> 00:29:07.225
side, the large mega players, to this to the bright side, to the start

461
00:29:07.225 --> 00:29:11.050
ups, I, quickly found out that there is very little research on

462
00:29:11.050 --> 00:29:14.110
the matter. I, had done

463
00:29:15.050 --> 00:29:17.770
early research myself where I just found out that,

464
00:29:18.410 --> 00:29:22.010
European startups were mentioned, a

465
00:29:22.010 --> 00:29:25.495
lot less in, you know, in high profile

466
00:29:25.875 --> 00:29:29.255
analyst publications compared to United States headquartered

467
00:29:29.795 --> 00:29:33.415
vendors. So a comparison,

468
00:29:33.875 --> 00:29:36.775
5 US companies versus 1 one European,

469
00:29:37.395 --> 00:29:41.210
company that was quite stark. And that led me into

470
00:29:41.210 --> 00:29:45.049
looking so how is this with, startup? And there was

471
00:29:45.049 --> 00:29:48.669
very little research. So I approached the University of Edinburgh

472
00:29:48.730 --> 00:29:52.330
Business School and, professor Neil Pollock there, who

473
00:29:52.330 --> 00:29:56.025
leads their innovation, research, was quickly on board

474
00:29:56.025 --> 00:29:59.544
to say, yes. Let's let's examine this. And we set

475
00:29:59.544 --> 00:30:03.145
up, the what we call the state of startup with industry

476
00:30:03.145 --> 00:30:06.985
analyst research. We immediately set it up as a research program that would

477
00:30:06.985 --> 00:30:10.690
go forever. So we do this every 2 years.

478
00:30:10.690 --> 00:30:14.210
We examine, the situation from 3 different

479
00:30:14.210 --> 00:30:18.049
angles. So startup, of course, we are startups. How do you work

480
00:30:18.049 --> 00:30:21.190
with analysts? Why? And what's what are the outcomes?

481
00:30:22.210 --> 00:30:25.885
We asked investors, so

482
00:30:25.885 --> 00:30:29.664
venture capital firms, but also their, the accelerator ecosystem.

483
00:30:30.205 --> 00:30:33.905
So what is your engagement, with startup and industry analysts?

484
00:30:34.445 --> 00:30:38.140
And what are your experiences? What are the outcomes that you see? And we

485
00:30:38.140 --> 00:30:41.980
also ask the into, industry analysts themselves in how

486
00:30:41.980 --> 00:30:45.600
do you work with startup ups from your end, and what are you recommending?

487
00:30:45.660 --> 00:30:49.360
What is working? What is not working? And, what are the outcomes?

488
00:30:49.654 --> 00:30:53.335
So we approach it from all three angles to get a 3 60 degree of

489
00:30:53.335 --> 00:30:57.095
the of the matter. And we didn't only ask startup and

490
00:30:57.095 --> 00:31:00.855
and, and, VCs and so who already knew about analyst

491
00:31:00.855 --> 00:31:04.480
relations. We specifically also asked those players who had

492
00:31:04.480 --> 00:31:08.240
no conception at all about analyst relations. So we really get the 3

493
00:31:08.240 --> 00:31:12.000
60 degrees, of insight. And we had a couple

494
00:31:12.000 --> 00:31:15.440
of, phenomenal findings there. So first of

495
00:31:15.440 --> 00:31:19.279
all, European startup have no idea of the type of value that they

496
00:31:19.279 --> 00:31:22.415
get. 73% of them

497
00:31:22.635 --> 00:31:26.315
think that analysts' exposure to buyer

498
00:31:27.115 --> 00:31:30.655
to buyers is rather low, where in reality,

499
00:31:32.520 --> 00:31:36.200
79% of analysts, speak to startup ups

500
00:31:36.200 --> 00:31:40.040
specifically to identify innovators that they can recommend to inquiring buyers.

501
00:31:40.040 --> 00:31:43.640
And I told you earlier that, you know, a single analyst has a 1000 to

502
00:31:43.640 --> 00:31:47.065
2000 buyer interactions every every year. So that's

503
00:31:47.065 --> 00:31:50.505
huge. So 73% of startup think

504
00:31:50.505 --> 00:31:54.205
that the the ability to get exposures to buyers is low,

505
00:31:54.745 --> 00:31:58.490
but almost 8 in 10 analysts speak to start ups specifically

506
00:31:58.550 --> 00:32:01.930
to identify innovators that they can recommend to inquiring buyers.

507
00:32:02.630 --> 00:32:05.990
So massive mismatch tells you knowing about

508
00:32:05.990 --> 00:32:09.290
this can get you a a leap ahead

509
00:32:09.590 --> 00:32:13.135
of a huge portion of your rivals. Mhmm.

510
00:32:13.135 --> 00:32:16.895
2nd finding was that, 2 thirds of

511
00:32:16.955 --> 00:32:20.655
startup think they must have broad availability before industry analysts

512
00:32:20.655 --> 00:32:24.270
are even open to these conversations as as we discussed earlier. But

513
00:32:24.270 --> 00:32:28.030
the majority of analysts want to speak to you at beta or

514
00:32:28.030 --> 00:32:31.790
even into a mobile product, stage. So enormous shift

515
00:32:31.790 --> 00:32:35.630
there as well. So you can start much earlier. The interesting thing about that

516
00:32:35.630 --> 00:32:39.070
is that, we found that professional analyst

517
00:32:39.070 --> 00:32:42.885
relations, handling of analyst relations can pull

518
00:32:42.885 --> 00:32:46.405
forward this qualified visibility through their market

519
00:32:46.405 --> 00:32:49.065
reports or through direct recommendations to buyers

520
00:32:49.845 --> 00:32:52.825
by as much as 4 years.

521
00:32:53.630 --> 00:32:57.149
So the average the the mean age of, startups being mentioned in

522
00:32:57.149 --> 00:33:00.510
reports was around 7 years in business. And if you do analyst

523
00:33:00.510 --> 00:33:04.269
relations professionally and do it well, those

524
00:33:04.269 --> 00:33:07.549
companies were able to pull that forward by as much as 3,

525
00:33:07.870 --> 00:33:11.295
4 years. So they got mentioned in the 1st 3 years in

526
00:33:11.295 --> 00:33:14.895
business. And that is, as you know, in in startup world, that is

527
00:33:14.895 --> 00:33:18.655
literally a lifetime for many start ups, sadly. Mhmm. So that's

528
00:33:18.655 --> 00:33:20.515
quite a that's quite a pull effect.

529
00:33:22.080 --> 00:33:25.840
Now, then we also, you know, another example of

530
00:33:25.840 --> 00:33:29.600
the research findings was that we asked analysts, so what type of

531
00:33:29.600 --> 00:33:32.100
analyst relations handling, what type of organization,

532
00:33:33.520 --> 00:33:37.154
makes analyst relations most effective in in your work with startup

533
00:33:37.154 --> 00:33:40.995
ups. So if you work through marketing agency or if you have

534
00:33:40.995 --> 00:33:44.595
analyst relations handled through your venture capital firm or, you

535
00:33:44.595 --> 00:33:48.195
know, however, or through your strategy department or through your

536
00:33:48.195 --> 00:33:51.630
marketing department or what. And, the finding there

537
00:33:51.630 --> 00:33:55.090
was, it's, of course, best handled through AR specialist.

538
00:33:55.549 --> 00:33:59.150
And, I'm not just saying this because I am a specialist, but because the difference

539
00:33:59.150 --> 00:34:02.750
was so stark. Because analyst relation specialists were

540
00:34:02.750 --> 00:34:05.935
were rated 50 points better

541
00:34:06.315 --> 00:34:10.155
than if it was handled through a marketing agency or PR agency or

542
00:34:10.155 --> 00:34:13.835
through your VC. In fact, PR agencies and VCs

543
00:34:13.835 --> 00:34:17.400
had a net negative rating through the eyes

544
00:34:17.400 --> 00:34:21.079
of, of the actual industry analysts who were supposed to

545
00:34:21.079 --> 00:34:24.760
be, you know, addressed by these briefings. And they had a

546
00:34:24.760 --> 00:34:28.060
net negative rating in terms of effectiveness. So

547
00:34:28.520 --> 00:34:31.975
understanding that, again, gets you a leap

548
00:34:31.975 --> 00:34:35.735
forward, in comparison, for for competitors who may

549
00:34:35.735 --> 00:34:37.594
handle it intuitively and differently.

550
00:34:39.815 --> 00:34:43.255
I I also have at the back of my mind that you will

551
00:34:43.255 --> 00:34:46.750
share in the next episode a few more of your

552
00:34:46.750 --> 00:34:50.510
learnings there, plus there is or there will be soon

553
00:34:50.510 --> 00:34:54.349
another survey going on? Yes. Absolutely. So, we

554
00:34:54.510 --> 00:34:57.734
as I said, we are we're doing this on a biannual basis, and the results

555
00:34:57.734 --> 00:35:01.255
that I just shared were from the 2022 survey. And

556
00:35:01.255 --> 00:35:04.934
we're, just, we've just launched a couple of weeks ago the

557
00:35:04.934 --> 00:35:08.615
24 version of the same, research. We're not asking the exact same

558
00:35:08.615 --> 00:35:12.234
questions again because we are adding puzzle piece by puzzle piece to our,

559
00:35:12.320 --> 00:35:16.000
you know, comprehensive understanding of the matter. So

560
00:35:16.000 --> 00:35:19.520
this year, it'll be all about how startup use analyst

561
00:35:19.520 --> 00:35:23.140
relations, throughout, the organizations, different use cases,

562
00:35:24.000 --> 00:35:27.715
which analyst firms are most used by startup and and which

563
00:35:27.715 --> 00:35:31.155
are best rated as well. And then when in

564
00:35:31.155 --> 00:35:34.995
your, maturity cycle do you best do what? When do you

565
00:35:34.995 --> 00:35:38.680
start briefings, when you start inquiries, when you start to do

566
00:35:38.680 --> 00:35:42.520
document reviews, when do you start to participate in events, and and

567
00:35:42.520 --> 00:35:46.220
all those kinds of things. So when in your journey should you do what?

568
00:35:46.600 --> 00:35:50.440
So a couple of really interesting puzzle pieces to our holistic understanding

569
00:35:50.440 --> 00:35:54.105
of the matter. And we can we can by the way, we we

570
00:35:54.105 --> 00:35:57.785
should put, links in the show notes for for people

571
00:35:57.785 --> 00:36:01.305
to to contribute because, again, it does not matter whether you

572
00:36:01.305 --> 00:36:05.145
have or have no understanding of analyst relations because, again,

573
00:36:05.145 --> 00:36:08.839
we want into, collect the entire understanding from

574
00:36:08.839 --> 00:36:11.259
all angles. And it only takes, like, 15 minutes.

575
00:36:12.680 --> 00:36:16.440
Sounds pretty good. Everybody who'd like to learn more, you can go down

576
00:36:16.440 --> 00:36:19.960
here in the show notes. There's link to your LinkedIn profile as

577
00:36:19.960 --> 00:36:23.434
well as a link to the survey that you'll hopefully

578
00:36:23.494 --> 00:36:27.194
show me after this recording. Definitely.

579
00:36:27.734 --> 00:36:31.575
Definitely. Great. Chris, was a pleasure talking to you. Thank

580
00:36:31.575 --> 00:36:35.136
you very much. Thanks for the opportunity. Thanks for the time. Thanks

581
00:36:35.136 --> 00:36:38.975
for your all of your listeners tuning in. Thanks. Looking forward to have you

582
00:36:38.975 --> 00:36:41.316
back. Bye bye. Speak soon. Bye.