00:00Hi, Ashley. We are so excited to hear from you today about Mixtros. With that, by all means,
00:17jump in. Well, good afternoon, everybody. I am Ashley, and this is Mixtros, and we are a software
00:24used to increase engagement and collect data where 50 or more gather live and now virtually.
00:29So during my undergraduate experience, I had a collision with a classmate, and although this
00:35classmate and myself probably wouldn't have gravitated toward one another naturally, the
00:39collision proved to be quite valuable. He sent an email on my behalf, and three weeks later, I became
00:44LeBron James' first intern. Now, I have been searching for that kind of networking serendipity
00:49ever since. So let's forward to 2014. At this point, I'm living and working in New York City as an event
00:54producer. I go to an event specifically to network, but when it comes time to do so, it was awkward,
01:00so I didn't do it. I talked to my mom about this, who was a global HR executive at the time,
01:04and we sat down and started to realize that although there are many softwares to get you to an event
01:09and many softwares to keep you connected after an event, where is the software that helps you collide
01:14with the right people when you're already somewhere? So we took our expertise in the human asset,
01:19and we built a human-centric software that doesn't try to change human behavior, but instead
01:24complements it. We know that 82% of attendees go to networking events, whether live or virtual,
01:30to make new connections. And we know that attendees, while that's their intention, they actually don't
01:37naturally mix at mixers. On the other side of this equation, we have organizers. Organizers
01:42understand the value of networking, yet they don't have an easy way to engineer those LeBron moments.
01:47So we've taken real-time surveying, an algorithm, and a waiting mechanism to create our software.
01:53Attendees launch, and then they go through a very simple process that takes them less than two minutes.
01:58They fill out a virtual name tag and answer a question series. And when it's time to meet,
02:03Mixtros joins attendees into small groups between three and ten. When it's time to actually come
02:08together, it joins them together, and then it gives them group-specific data to connect on. At the same
02:13time, the organizer gains access to all of the collected data, so we offer a 360-degree ROI.
02:20In March of this year, we accelerated the development of our virtual feature, and as a result,
02:26we've seen 300% growth between Q2 and Q3 of this year. We've welcomed customers like Johns Hopkins,
02:32Southern Company, and also Running USA to a growing client roster. And those deals represent a monetary
02:40value between $249 and upwards of $20,000. We have certainly reached the watershed moment for
02:48Mixtros, and it's due in part to the profound shift in user behavior that we are experiencing.
02:52Mixtros is not just a tool that is used for events. It can be used day-to-day to add a bit of boom to the
02:58zoom of our customers or any other software that they're using. The virtual event markets will grow
03:03to $774 billion by 2030, and we're positioned well. We are living in the third wave of technology. While
03:10we have Uber to pick us up and Wag to walk our dog, it makes sense to have Mixtros help us meaningfully
03:15connect where we gather. Funding will be used to support our migration to true SaaS, and thank you.
03:20Awesome. Thank you so much for that background. Thank you. We're going to ask a few questions now.
03:31My first question revolves around your marketing. Talk to me about existing marketing strategies that
03:37you guys have deployed, as well as future state. So it's interesting. We actually haven't spent very
03:43much, like over the course of our business, we've spent under $10,000 in marketing. And the reason for
03:49that is because Mixtros has natural virality. So we find if a customer, like we've worked with
03:55Shipt, which I know is part of Target, if our Shipt customer uses Mixtros at one of their events,
04:01there's a high likelihood that their employee, when they have a good experience, will actually take
04:05Mixtros elsewhere, like to another organization that they're a part of, like a junior league or a
04:09church. And so we've been able to spread organically that way. As we look forward and we're moving over
04:15to a true SaaS model, digital marketing will become more important for us, and we'll be looking to up
04:19our spend. People are looking for softwares like Mixtros to help people engage, and we need to make
04:24it easier for them to find us. Awesome. I have one question. Just at the end, you were explaining what
04:30you're using the funding for, and it got a little cut off for me. Could you restate what the funding is
04:34going to be for? Yes, it's going to support our transition as we're scaling over to a true
04:41touchless sales conversion model. So true SaaS. Currently, and I think through the duration of
04:45this journey, we have faked it until we've became it. And so we are faking very well, but we need to
04:51get to a place where our customer can go soup to nuts without touching with a Mixtros person.
04:56And then I have one more question. Sorry, Robbie. So I also heard you say anywhere from $249 to $20,000.
05:05Tell me the average that you're driving in revenue. So the average, yeah, the deal that's being
05:12purchased most often right now is a package of 48 mixes, which is priced at $5,000. Okay.
05:21So great presentation. How'd you build the algorithm? How did you determine which questions to ask and
05:30how the combination of those questions would yield the most impactful connectivity?
05:36Great question. So every time we run a mix, the questions are completely variable. We have a
05:41question library and our customer can pick, but our customer has the ability to ask any question they
05:46like and weight those questions according to how they want their people to be matched. So we've given
05:51the ultimate power to the organizer because they are mission controlled for the event. They know who
05:56colliding together would make a great connection. Gotcha. Are you able to share with customers
06:02different results by different types of questions based on previous events so that you're informing
06:09them with the data that you collect? So that's the goal. So we literally just moved over to a model
06:16of being able to purchase multiple mixes. And when we tell our enterprise customers specifically buying
06:21these larger packages is looking at the data over time will become so valuable because they're
06:25layering us into everything from meetings to orientation to training, all types of gatherings.
06:31So if there aren't any other questions, first I want to congratulate you on your success today.
06:39This is absolutely a problem to solve and this should be a platform that contributes to the solving of
06:46that problem. So you're clearly passionate about what you're building and you clearly are approaching
06:52an inflection point and inflection points require capital. So good luck. Thank you very much. I appreciate
06:58it. All right. Thank you. Take care. Bye bye. Bye. I look forward to using it at an event. Yes, please do.
07:10Bye bye.
07:16You
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