Every argument clarity score on this site is built from rows on this page. Each
question and answer was assessed with names hidden, the host's own answers included, on
four things from 1 to 5:
directness (does it answer the question asked), coherence (do the ideas follow),
precision (concrete details and clear references), compression (says a lot per word). The weighted
mix (30/30/25/15) is the exchange score. A person's published score averages their exchange
scores on raw tape only, at least 8 of them, shrunk toward the cohort mean.
Full method →
Answered produced feed
D 5 · C 5 · P 5 · Cm 5 5.00
Q Interesting. Okay. Give me some more of the backstory here. So, so you said, uh, you said you started reporting to Inc like in two, in the 2009 ish So obviously if founding date was before that, when'd you launch the company?
A Yeah. So we launched the company originally in, in 2006 raised our first couple million bucks. Uh, back then the first product, believe it or not, was an online calendar. This is before Google calendar existed. Um, but that was really just a project that wasn't a real, uh, product per se. And we pivoted it into, and we raised the capital into, uh, content management platform for events. So if you were a brand You were doing a movie release or you're doing a new, you know, a new store opening. We had a bunch of marketing software to allow them to do that. We ran that from Oh six through through Oh eight. Uh, and then in Oh nine, uh, we saw this opportunity to build at that time, a rich media, uh, creative platform for programmatic. So it was early days of programmatic media.
AI assessment note: “we launched the company originally in, in 2006”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Okay. So, okay. And then, so keep going there. How do, how do I get back to money for you?
A Sure. Yeah. So in those cases, you know, they've got their budget allocated for, you know, how they, how much they want to spend, uh, to buy media. Uh, for us, it's really, it's a software fee, uh, that they know that they've got to associate, and they can back it out into a CPM where they say, okay, we know we're gonna spend five grand a month with these guys, and that's gonna get us, you know. Ten million impressions a month, and that's going to cover us for what we need to do. Okay. We're good with sponge cell. We can, we can, we can make all of our creative decisioning work, and then we can still go take the, um, you know, the, the 300 grand or whatever we're planning to spend on media, uh, and go buy it again. Either we can, we can go to one website and buy it directly, or we could go through a DSP and buy it programmatically.
AI assessment note: “for us, it's really, it's a software fee”
Answered produced feed
D 4 · C 5 · P 4 · Cm 4 4.30
Q first company, we went from like in one month, we did like a hundred bucks in revenue and the next month, like 200. And I'm like, fuck yeah, baby. A hundred percent month over month growth. It's harder when you're doing twenty million a year. It's tougher. All right. All right. Tell us about the company. Tell us about Sponged. So what do you do? How do you make money?
A Well, yeah, so today Spongetell is a dynamic creative company, so we work in the advertising technology space, and what we do is we help marketers, uh, we take the data that marketers have, and we use that data to make smart decisions around what actual creative, uh, digitally to show someone. So data can be things like we know for a cell phone company, we know that, uh, they have someone who is currently a subscriber, Uh, is on a certain type of plan, and they want to upsell them into a family plan. Have all that data. We know that, and that's the creative message that we show them. So what our technology does is manage, uh, all of those different variations. So we have, we have some customers that can run up to, like, one customer actually did 80 quintillion different possible creative variations when they mixed. This was a supermarket chain. You can mix price with product. Uh, description, all the sort of content around it, and then recommend that to different customers and show three different products in the same piece of creative. So the variations can grow very, very quickly. Uh, and it's all the logic behind how that happens. And then the optimization around, uh, around that, that our technology provides.
AI assessment note: “Spongetell is a dynamic creative company, so we work in the advertising technology space”
Answered produced feed
D 4 · C 4 · P 4 · Cm 4 4.00
Q Like where, where, you know, they're not a good fit for you anymore. Is it when, is it when the fee they're paying you is like 20% of the spend or 30% of the spend or 40%? Like when do people typically leave tool ad tech tools like yours?
A Yeah. So we're, we're probably a little bit lower on the, on that end of the spectrum in terms of percent of, of working media dollars. Um, I would say, you know, we're actually probably in like the, in the 10% range. Uh, I think it's more, people aren't leaving The current tool, I think it's kind of the old stuff where it was less, um, it was, it was just a different business. It was kind of a different model. Um, and it was, you know, more services intensive. So for us, it was more of just like, listen, if you really want us to do this, we will, but we'll charge you for it. And we'll charge you at such a rate that it's probably going to be cost prohibitive. And that's allowed us to really focus on, um, you know, servicing these enterprise customers today, which is who we really care about.
AI assessment note: “we're actually probably in like the, in the 10% range.”
