How We Went from Zero Buyers to One of the Fastest-Growing B2B StartupsㅣTranscend, Ben Brook
Ben Brook is Co-Founder and CEO of Transcend, a privacy infrastructure company helping businesses automate data privacy and governance. With over $90 million...
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Intro
- 00:00throw out a big number, see what
- 00:01happens. If somebody bulks at it and
- 00:03says that's way too high, you know,
- 00:04you've at least done the right thing and
- 00:06figured out what the top of the market
- 00:07might be. Most founders are shocked at
- 00:10the market uh will pay for their
- 00:11product. And especially if you're a
- 00:13first-time founder, you almost feel like
- 00:15guilty or greedy asking for certain
- 00:18numbers, but ultimately for pricing, you
- 00:20really have to understand the business
- 00:23value that a company is getting by using
- 00:25your product.
- 00:30So, I'm Ben Brookke. I'm the co-founder
- 00:32and CEO of Transcend. We are a data
- 00:34privacy infrastructure company. We help
- 00:36other businesses uh encode privacy rules
- 00:39across all of their technology. We're
- 00:41helping them comply with privacy laws
- 00:44and really adopting the spirit of
- 00:46privacy and giving consumers far better
- 00:48control over their personal data. We're
- 00:50backed by uh Excel Index. We're now a
- 00:53series B startup.
From the First 10 Customers to 100
- 00:58I think the biggest challenge for us um
- 01:01like many founders were finding that
- 01:03first product market fit. As a founder
- 01:06in the weeds, you're like so excited
- 01:08about this thing and you think like
- 01:09we've got it. This is going to land.
- 01:11People are going to love it. Nobody
- 01:12wants to buy it. And then like really
- 01:15kind of learning to trust the data and
- 01:19test understand what the customer really
- 01:21needs. like you can't stress enough when
- 01:24you're building a product to like really
- 01:25understand your customer. What we ended
- 01:27up doing was we found a few early
- 01:31customers. We basically just said like
- 01:33what if we just automated this for you?
- 01:34We'll be like your extended privacy
- 01:36engineering team. Let us build the
- 01:39solution and kind of just like help us
- 01:41understand every aspect of it. It was
- 01:43actually a fairly consultative
- 01:45engagement with the first two or three
- 01:47customers and we made sure that like
- 01:50they were aligned to the fact that yes
- 01:52we are going to build a product here but
- 01:53that was how we approached it. So
- 01:54especially when it's in I think like a
- 01:57little bit more toward like the
- 01:58enterprise software motion I think
- 02:00that's like absolutely a path you can
- 02:01take where you just kind of let
- 02:03customers vent their problems and offer
- 02:06to just find a way to fix them. As for
- 02:08scaling from you know 10 to 100
- 02:10customers in enterprise this is when you
- 02:13need to have your first sellers.
- 02:16Typically, you can do founderled sales
- 02:17for the first call it 20, 30 customers,
- 02:21but not only should you start handing
- 02:24that off, but also like it's an
- 02:25important part of proving that you're
- 02:27able to scale the business past yourself
- 02:29who knows every nook and cranny of the
- 02:31product and you've been thinking about
- 02:32this problem for like, you know, 5 years
- 02:34or whatever. To be able to have a seller
- 02:36become successful in selling your
- 02:38product is an important first milestone.
- 02:40And we we really spent the time to find
- 02:43that right sort of first seller. And the
- 02:45first seller is completely different
- 02:47from like the latest stage seller where
- 02:49they're super creative. They kind of do
- 02:51every sales role alone which includes
- 02:54generating pipeline, you know, actually
- 02:57running the deal with as an account
- 02:59executive would and then even a lot of
- 03:00like sales engineering in some cases
- 03:03probably contracting all of the sort of
- 03:05the full endto-end sales process. And we
- 03:08found somebody who's just incredible at
- 03:10this. I I really believe there's nothing
- 03:12more important than like finding the
- 03:13best hire. If you need to slow down to
- 03:15get it right, it's 100% worth it. And
- 03:18then after that, depending on what your
- 03:20sort of AR is at around 100 customers,
- 03:22you either need to scale your sales team
- 03:24or you probably like if it's way up
- 03:26market, you probably already have. But
- 03:28in any case, being able to scale a sales
- 03:30team really is about if you don't have a
- 03:32sales background, like you should find a
- 03:34sales leader. It is such a huge subject
- 03:37with so much expertise that it is one of
- 03:39the things where you just you need to
- 03:41find a great leader who can do all of
- 03:43the right pieces of like building
- 03:45playbooks, breaking out the sales
- 03:47process with like uh sales development
- 03:49representatives, account executives,
- 03:51sales engineering, revenue operations
- 03:53and so forth. There's a whole
- 03:54organization and that sort of meta
- 03:56process is very playooked but not
- 03:58something a founder should do. They
- 03:59should absolutely find the the best
- 04:02leader that they can. That's really the
- 04:04sort of like 0 to 10, 10 to 100 and
Make Your Pricing Super Iterative
- 04:11beyond. There's a few things I'll say
- 04:13about pricing. The first is make it
- 04:14super iterative. You really need to
- 04:16adapt it and change it until you find
- 04:18your price point. Even then, like it's
- 04:21only going to last for maybe a year, a
- 04:22year and a half before you have gotten
- 04:24enough data to say certain parts of this
- 04:26are stupid. We need to change it. The
- 04:28second is you should start as high as
- 04:29pro possible because most founders are
- 04:32shocked at the market uh will pay for
- 04:34their product and especially if you're a
- 04:36first-time founder you almost feel like
- 04:38guilty or greedy asking for certain
- 04:41numbers but ultimately for pricing you
- 04:44really have to understand the business
- 04:47value that a company is getting by using
- 04:50your product. And it kind of sounds like
- 04:53just corporate jargon, but this is
- 04:56actually how companies buy. And so if
- 04:58you're not articulating the actual
- 05:00dollar value of your product or if you
- 05:02have no idea how to even start, the
- 05:03person who's buying your product is
- 05:05going to try to create that assessment
- 05:07themselves so that they can take it to
- 05:09the CFO and get it approved. And so it's
- 05:11the the real answer is like, do you want
- 05:13to be involved in that process or do you
- 05:14not? If it's going to get approved, you
- 05:16better be involved in that process. So
- 05:17you actually do have to articulate if
- 05:19you're going to drive revenue in the
- 05:20company, how much can you drive? If
- 05:22you're going to decrease cost, how much
- 05:23can you decrease cost? Can you actually
- 05:25articulate what we call value drivers
- 05:27and educate the person who's trying to
- 05:29buy your product who's interested in it
- 05:31and work with them to sort of build this
- 05:32value case together? And then whatever
- 05:34that value is, your price should be
- 05:36about a quarter, two or one/3 of that so
- 05:39that they get the ROI number on top for
- 05:41the remaining three quarters.
Your Next Steps Until Closing Series B
- 05:45The real sort of key to our series B was
- 05:48proving that we could repeatably switch
- 05:51customers off of the status quo in
- 05:54privacy, which is incredibly manual
- 05:57operational work where data owners are
- 06:00consistently being interviewed, asked to
- 06:02manually operate on one individual's
- 06:05data when that individual asks to be
- 06:07deleted. And that is the status quo sort
- 06:10of encoded by legacy incumbent software.
- 06:13The real bet at our series A was like,
- 06:15can we repeatably show that we can take
- 06:18market share? Is there a long-term
- 06:20outcome where transcend takes that sort
- 06:22of top spot in the market? And so our
- 06:24series A to our series B was really all
- 06:27about building our sales team, scaling
- 06:29up marketing operation, and really like
- 06:31delivering a customer experience that
- 06:33customers would be happy to sort of like
- 06:36do case studies and and sort of shout
- 06:38shout about us from the rooftops and
- 06:39tell their friends to switch as well.
- 06:41And so we we we really tracked like
- 06:43milestones around like uh our win rate
- 06:45against uh the incumbent competitor and
- 06:48if we could get it to a certain number
- 06:49we thought that would be really critical
- 06:50for our series B story and ultimately
- 06:53kind of like help unstick the market
- 06:54that felt like it was kind of like
- 06:56turning into a bit of a cottage industry
- 06:58around this this sort of status quo way
- 07:00of doing things. And so we we really
- 07:02kind of like had a metric driven process
- 07:05against that and just executed really
- 07:08really well on that plan. So that at the
- 07:10series B we could tell the full story of
- 07:12customers are making this like mass
- 07:15migration
Current Privacy Trends in the AI Era
- 07:19switch. The current trend in privacy
- 07:22right now is first governance of AI
- 07:26systems. There is a sort of mad dash
- 07:29inside every business right now to adopt
- 07:31AI and part of that is uh compiling all
- 07:35of the data into a format uh that can be
- 07:38leveraged for the purpose of AI for the
- 07:40those who are technical these are like
- 07:42vector databases and building embeddings
- 07:44but there are very few guard rails
- 07:47around any of these systems and the way
- 07:50that you know perhaps personal
- 07:51information may be processed on one hand
- 07:54there's the way that personal data is
- 07:57being used uh in AI systems and then on
- 08:00the other there's the way that AI
- 08:02systems may be impacting individuals so
- 08:05like bias and harm fairness uh
- 08:08particularly when AI systems are being
- 08:10used for decision-m and so the most
- 08:12recent kind of landmark regulation was
- 08:16the AI act in Europe many businesses are
- 08:19trying to understand how they're using
- 08:21AI put processes in place around
- 08:24ensuring that the guard rails are in
- 08:26place or that they've appropriately
- 08:29assessed the impacts of using that AI.
- 08:32And so that's certainly a current trend
- 08:34in uh privacy today. And one of the
- 08:37effects of that a lot of the people who
- 08:40became like the chief privacy officer
- 08:42are going through a title change uh and
- 08:45sort of role and scope change to also be
- 08:48the owner of AI governance. Uh and a lot
- 08:52of companies are saying kind of like
- 08:53while we're at it, let's make it like
- 08:55everything digital governance, all
- 08:57regulatory policy, all governance of our
- 09:00systems short of security. And that has
- 09:04been like a big sort of industry shift.
- 09:06The customers and the buyer, the the
- 09:08people that we sell to are undergoing
- 09:10just a massive sort of change in scope.
- 09:12And so that's that's a really important
- 09:13trend right now. And then like every day
- 09:16there's something with in privacy that's
- 09:19like wow that's a really creepy thing
- 09:21and like or there'll be a data breach or
- 09:22there'll be you know something that is
- 09:24like always driving the news you know
- 09:26the news meta sunglasses for example um
- 09:30it took about like 3 days for someone at
- 09:32uh some two kids at Harvard uh turn that
- 09:35into a system which can like literally
- 09:37just tell like find people's online
- 09:40profiles as you walk down the street.
- 09:41it's just like overlaying their like
- 09:43name, LinkedIn, job title, just by
- 09:45facial recognition. So there's like all
- 09:47kinds of crazy stuff um just like in the
- 09:50the the daily news. But categorically
- 09:52the shift toward u AI governance and
- 09:56this broadening sort of supererset of
- 09:58privacy.
- 10:00[Music]
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