How Bloomreach CEO Raj De Datta grew Bloomreach to $219.5M revenue and 750 customers in 2024.

hello everyone our guest today is Raj da Dada he has brought 10 years of enterprise and entrepreneurial experience with him when he co-founded his current company Blum reach before launching the company he was entrepreneur residents at mordabito ventures prior to that he served as Cisco's director of product marketing and was on the founding team of telecom company first mark lambda net which grew to 80 million in run rate in AR I presume he also worked in technology investment banking at Lazard fr��res he holds a Bachelor of Science in electrical engineering from Princeton University and an MBA from Harvard Business School he thought his thoughts on navigating the challenges of high-growth startups can be found on his blog at d.com it's de dat ta dot-com Raj are you ready to take it to the top I am absolutely all right tell us more about Bloom reach what's the company do and how do you make money absolutely so what blue breach is is we're in the business of offering a platform to power digital experiences so think of every interaction you have online you go out you buy a pair of shoes you look for a date you're organizing a movie all of those experiences online can be can be pretty painful and the start of the company was really asking the question why couldn't every experience on the web feel the way it does at Netflix or at Amazon or it where are some of those sort of much more modern tech companies out there when we think of enterprise brands the banks and the airlines and the insurance companies and all of the other big businesses we interact with in the world their digital experiences feel nothing like Netflix and Google and the like so we came we came about trying to say let's create a great digital platform that makes it possible for every enterprise in the world to build amazing digital experience and let's offer that platform to everybody let's get seven billion people around the world to have an amazing digital experience that's why we started the company and fast forward now several years later we make money in a SAS based business model so we offer our services in the form of a subscription and large enterprise to sign up and and and we drive their digital presence and are we talking give me a sense here of generally on average in a year they're paying 10 grand a hundred grand a million 10 million which general size average average ASP for us is around 250 K per year we've got several clients that pay us more than a million dollars a year yep so it's an enterprise type business and what pricing levers do you use to drive expansion ARPU is a number of site locations like a Neiman Marcus or or what are those utility metrics yeah so there's a bunch of ways by which we grow we grow because people when they launch digital properties websites and apps they'll often do it in many countries they'll have different properties they will own many brands you mentioned even Marcus Neiman Marcus owns a selection of brands beyond Neiman williams-sonoma and other one of our clients also owns Pottery Barn Pottery Barn Kids so they'll have multiple brands and they'll pay us more you know when that's the case and then and then we'll charge them more as their pageviews grow and as their traffic grows you know then they'll use more of the platform and finally they buy more products from us that's why they buy more products and that's an expansion in the amount that we charge so a number of languages cite impressions and just pure additional product up sells products that's right interesting okay getting more of the back story here so when did you launch the company yeah so you know started working on the company in 2009 and it was a small team of us myself my co-founder a shoe who had built a lot of the search engine at Google and we pulled a team of people mostly out of Google was a group of five or six of us and the original pitch wasn't we can build on a platform that you can plug in any website or app into and its gonna immediately generate highly relevant experiences for consumers wouldn't that improve the consumer experience and drive more revenue for whoever's publishing the website or app and if we could build that platform it would serve everybody so we spent about a year year and a half kind of an R&D built a machine learning system around that basic problem proved that it could work by kind of 2010 started to approach a set of clients and really only launched the company publicly in 2012 or maybe was end of 2011 and that was when we sort of began to take it to market and how did you support yourself in those first two three years you guys just had savings from Cisco and Google that you lived off off for what yeah so we definitely did that for a period of time eventually we had our first investor AJ other wall who's a partner at Bain Capital Ventures he put in the initial five million dollars and you know kind of our pitch to him was pretty simple it was sort of if we build this platform it's gonna transform every website and app in the world wouldn't that be a great business yes and so the risk here is really the technical risk of whether we can build a machine learning self learning system that could work for any website or app in the world and so to mitigate the technical risk we got to hire the 10 best engineers we know who are at places like Google and Facebook recruit them in and so he put in the original five million dollars we said we wouldn't really spend it we'll just perfect the platform and once who was it was up and running then we'll start approaching clients for revenue so today how much total have you raised so today we've raised a hundred million dollars okay so obviously significant capital raising after that was you know I want people to make sure they pull the right lessons from this interview I mean one of the reasons you're able to get five million early on obviously is because of your present backgrounds right it's not as simple as just saying look here it is it's gonna be a success Boehm right Wow yep so I'm a third time entrepreneur I've done this before Asha was a well-regarded machine learning kind of guru out there so was our background and I think we had a Kris problem statement that was pretty different nowadays the use of AI and machine learning is popular in 2010 2009 we were very early and saying we're gonna have every website and app in the world powered by that and so it was a distinct message and a distinct proposition of hey we'll do something pretty different with this class of technology solve it in a different way with a different kind of team and with a fairly clear business idea that we were gonna go after enterprises a SAS based pricing model and so we were fairly clear what we wanted to kind of go about doing and what's interesting so many years later is the mission of the company hasn't changed so what have you scaled to today in terms of total customers you're working with yeah so we we work with about 250 large enterprises and they have tens of brands each so if you think about it in terms of websites or apps it's probably a thousand plus if you think about it in terms of companies it's probably 250 the number you gave me earlier the 250 grand a CV though that's really perk that's per company you're working with right / 250 that you work with or no it's per website or something else yeah so that's that's that's an average per account yeah and you can think of the scale of the business as being between fifty and a hundred million dollars yeah I was just gonna say so if I take 250 times 250 grand a year you know you're cranking somewhere you know five point two is I think per month that comes out to or somewhere around what you know 50 five sixty million annually right now yeah it so when we have services revenue you know that we charge for as well because when people use our platform they have to implement it and we support them through that so you can think of our our air or our total revenue is as between fifty and auditors got it now of the of the number that I just give out though the basically five million a month is that pure place asked the two fifty or did you include the professional services in the two fifty ACB not included and is one of the reasons so tell me tell me the correlation between how you think about professional services and what that's done to help you reduce your churn I assume you're you're basically taking that money and to do on boring things that's right we do a couple things with professional services we help with onboarding we help with analytical services people use our services how do they get more value out of the software once they've bought it we'll do things like premium support services so some of them are technical in nature some of them are business consulting in nature we also have a very large partner community so we'll do training of partners and certify them on our platform all of that is services and so diving deep into some unit economics here for a second what is your turn today or how do you think about it yeah so we think of you know gross churn for an enterprise business we think best-in-class you know you want to be at no more than say 10 to 12 percent gross churn and we're in that range and then you want to be pretty close to zero percent net churn or negative net churn and we are we are there as well because we have a healthy upsell business just to be clear that's that range egay that's 10 to 12 percent gross revenue churn annually and negative churn obviously annually as well for net yes yep and the ones that do churn why do they turn yeah I...