Latest / Bloomberg Intelligence / Lounibos on SOASTA Technology (Audio)
Transcript
- 0:00Speaker 1: He could have been a contender in baseball, but he
- 0:03Speaker 1: decided he was going to be a success in the
- 0:05Speaker 1: world of technology. Tom Lunabus is the chief executive of
- 0:09Speaker 1: SOSTA and he joins us now in studio. Tom, thanks
- 0:12Speaker 1: for coming in. Great to be here, Thanks for having me.
- 0:14Speaker 1: All right, do the quick setup, because I bet if
- 0:16Speaker 1: I went to the University of San Francisco, I think
- 0:18Speaker 1: I'd find something that would be a remnant of your
- 0:21Speaker 1: infielder status. Way too much insider baseball knowledge there. Um. Yeah,
- 0:27Speaker 1: I'm a little unique in the Silicon Valley where we're
- 0:30Speaker 1: a tech community made up of engineers. And I an
- 0:34Speaker 1: odd career in sports where I played baseball for four
- 0:37Speaker 1: years under a kind of a legend in USF and
- 0:40Speaker 1: what started off as being talked into going to play,
- 0:44Speaker 1: I ended up being in the Hall of Fame at
- 0:47Speaker 1: us F, bait for Baseball and drafted by the Minnesota Twins.
- 0:50Speaker 1: And but you know, life always has different crossing points
- 0:55Speaker 1: than I ended up going into tech and not. There's
- 0:58Speaker 1: not a lot of us that actually gotten that direction.
- 1:00Speaker 1: So tell us about SOLS Tess tells how you got
- 1:02Speaker 1: connected in what the company does. Well, So does a
- 1:05Speaker 1: really kind of cool company in terms of the customers
- 1:07Speaker 1: we use. You know, we we we work for UH
- 1:10Speaker 1: five largest digital brands in the world, and as a company,
- 1:13Speaker 1: it's it's a little bit of a story of getting
- 1:15Speaker 1: the band back together again. Ken Gardner and I started
- 1:18Speaker 1: a company back in the nineties around analytics Advanced Analytics UM,
- 1:23Speaker 1: and we started seeing as more brands we're going to
- 1:26Speaker 1: go direct to consumers with marketing campaigns selling a million
- 1:31Speaker 1: tickets for the Olympic Games, or a new iPhone seven
- 1:34Speaker 1: gets launched, that they're going to drive a lot of
- 1:36Speaker 1: traffic to web and mobile applications. And the thing that
- 1:40Speaker 1: we all understand, if that site is down or if
- 1:43Speaker 1: it's slow, all of us consumers are three clicks away
- 1:46Speaker 1: from buying the same thing from somebody else. So we
- 1:49Speaker 1: built a platform UM that in some ways mimics what
- 1:53Speaker 1: Amazon does in terms of understanding customer experience and a
- 1:58Speaker 1: platform that allows our brand ends are five digital brands
- 2:01Speaker 1: to simulate Cyber Monday and Black Friday and Halloween and
- 2:06Speaker 1: and in big marketing events or or UM you know,
- 2:11Speaker 1: for hallmarket's UH their super bowl is Valentine's Day where
- 2:14Speaker 1: they get so many folks coming through so we're helping
- 2:17Speaker 1: them understand their customers online and we're improving their perform. Okay,
- 2:21Speaker 1: so you also have the c p I and index
- 2:24Speaker 1: that measures how users respond to the digital experience and
- 2:28Speaker 1: how speed and response is nous of the side influences
- 2:30Speaker 1: engagement and conversion rates. Digital speed. You know, we've all
- 2:36Speaker 1: kind of become addicted to it, and I think at
- 2:38Speaker 1: the same time also we kind of fight against that addiction.
- 2:41Speaker 1: It's neural. I mean, you know, speed is kind of
- 2:44Speaker 1: inbred into us in all ways. And what we've been
- 2:47Speaker 1: able to analyze is that we go on these websites
- 2:50Speaker 1: and if they're slow, um, we're not very happy. And
- 2:54Speaker 1: so the engagement with the customer is usually cut short.
- 2:57Speaker 1: They may not watch the full video if they're fat Austin,
- 3:00Speaker 1: you're liking what the experiences, You're more engaged, and that's
- 3:03Speaker 1: the key to the game. So what is the number
- 3:05Speaker 1: one thing people do wrong? It makes a slow experience.
- 3:07Speaker 1: And I'm the first one I really want to watch
- 3:10Speaker 1: a video online. I just want the information I want
- 3:12Speaker 1: to read. It would be really enticing for me to
- 3:14Speaker 1: watch the video. Well, sometimes it's the video itself, it's
- 3:17Speaker 1: the content and how long they play it. So you know,
- 3:20Speaker 1: if you play some videos at fourteen seconds versus ten seconds,
- 3:24Speaker 1: you'll see a drop off of lots of different consumers.
- 3:27Speaker 1: Sometimes it's just creating a marketing event where everybody goes
- 3:30Speaker 1: to the website at one time, so it could be load.
- 3:32Speaker 1: Sometimes it hasn't been optimized to you know, the device
- 3:35Speaker 1: that you're particular to or the browser you're not particular too.
- 3:39Speaker 1: So it's a very you know, delivering um brand and
- 3:44Speaker 1: consumerism to to the marketplace is very complex and sophisticated
- 3:48Speaker 1: these days, and what these brands are getting is very
- 3:51Speaker 1: sophisticated on how they understand the consumer experience. But it's
- 3:54Speaker 1: a lot of things that create something that could break.
- 3:57Speaker 1: Tell us about the public cloud, how do you do
- 4:00Speaker 1: subscribe it to people? And describe also the growth that
- 4:03Speaker 1: you're seeing there and why it's relevant. And we're particularly
- 4:06Speaker 1: interesting in that area because we built the company around
- 4:09Speaker 1: cloud computing when there was very little cloud computing. In fact,
- 4:12Speaker 1: I was in when we introduced Sosta. The gentleman that
- 4:16Speaker 1: introduced us was the founder of cloud computing. It's Andy
- 4:18Speaker 1: Jassey who runs Amazon z Aws and Andy h This
- 4:22Speaker 1: was at the first cloud event back in two thousand
- 4:24Speaker 1: and eight. What made it interesting for our use case,
- 4:27Speaker 1: and our use case became particularly interested in cloud computing
- 4:31Speaker 1: computing industry was I needed a thousand servers for a
- 4:35Speaker 1: very short period time. In other words, the way that
- 4:38Speaker 1: we test these applications is we have to simulate millions
- 4:41Speaker 1: of consumers going to the sites, and you may need
- 4:43Speaker 1: a thousand servers to do. No one had a thousand
- 4:46Speaker 1: servers in their test lab. And so what cloud computing
- 4:49Speaker 1: does is it gives you, especially public clouds, gives you
- 4:53Speaker 1: access and availability and affordability to capacities server capacities which
- 4:58Speaker 1: I needed and I consume in large ways, and I
- 5:02Speaker 1: can only pay. I only pay for what I use,
- 5:04Speaker 1: so I will only I may pay forty cents an
- 5:06Speaker 1: hour for for a server, but if I'm using a
- 5:09Speaker 1: thousand servers for six hours, it's a very small amount
- 5:12Speaker 1: comparatively buying him for the the whole quick final question, Uh,
- 5:16Speaker 1: how do you make money on this? Well, all of
- 5:19Speaker 1: you know there's over two trillion dollars that are transacted
- 5:23Speaker 1: online every every year, and so our ability to save
- 5:26Speaker 1: and um to make sure that those two trillion dollars
- 5:30Speaker 1: actually get done is the key to the game. So
- 5:32Speaker 1: where the insurance policy for the industry. I like the
- 5:34Speaker 1: insurance is a very lucrative business. Tom Lunabus, thank you
- 5:37Speaker 1: so very much. He's chief executive officer at SOSTA. He's
- 5:41Speaker 1: based in San Francisco, joining us in New York. This
- 5:44Speaker 1: is Bloomberg