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.
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Answered produced feed
D 5 · C 5 · P 5 · Cm 5 5.00
Q So can you, and can you give a real life example just to really bring it home? A real life customer?
A Sure. So we've got a company who is right now using LeadGenius to map out, um, every director of IT, um, at a Brazilian company. Telecom company with the interest of selling them IT products and services. Um, so they were interested in companies that were between a 100,000 in revenue and about ten million in revenue. So there's a finite number of those companies. That information is always changing. We use a combination of crowdsourcing and crawling to go out and find this information from a combination of public databases, company websites, as well as, uh, social networks, uh, personal profiles and so on. So the end result was, uh, A set of companies that they wanted to sell to and an effective way for them to reach out and talk to them.
AI assessment note: “we've got a company who is right now using LeadGenius to map out”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q In all seriousness, when do you make that decision? I mean, what things are you looking at in the business when you know it's the right time?
A Okay, great. So, um, I think the same answer we'd give here is the same answer we'd give for any entrepreneur, um, which is you should look at the milestones you're trying to achieve for the next part of the market, figure out the capital you need to get there and decide how it's gonna, um, how much you'll need to get there. So for us, Um, we look at this space in terms of, um, what's driving our growth. We dog food our own product, so that's a significant amount of our own spend, as well as hiring salespeople and engineers here on site. Um, and we have a, an internal number for where we want our metrics to be before we can successfully go out and, and raise enough to get us to the next level.
AI assessment note: “look at the milestones you're trying to achieve for the next part”
Answered produced feed
D 4 · C 5 · P 4 · Cm 4 4.30
Q Okay. And what percentage of your revenue is professional services versus pure SaaS?
A So we think about everything as, as part of the software sale, but a portion of that is attributed to, uh, what we would consider the cost of data acquisition. So that doesn't mean professional services per se. We don't have any, um, say consulting teams that we send on site. What we do have, uh, are a crowd of folks who help us get certain kinds of data that might be tricky to get using automated methods. Um, so good examples might be, Gosh, the, the last time somebody, um, changed jobs, uh, which is data that you might find, uh, on the internet, but wouldn't really be able to crawl, um, or for example, information about, um, the number of, uh, sales positions that are open at a company, which is a predictor of how often companies will buy sales products. That's information that for our customers, uh, There aren't really a lot of solutions out there that'll provide, but which make a big difference in their purchasing, uh, strategies.
AI assessment note: “we think about everything as, as part of the software sale”
Answered produced feed
D 4 · C 5 · P 4 · Cm 4 4.30
Q Okay. And what percentage of your revenue is professional services versus pure SaaS?
A So we think about everything as, as part of the software sale, but a portion of that is attributed to, uh, what we would consider the cost of data acquisition. So that doesn't mean professional services per se. We don't have any, um, say consulting teams that we send on site. What we do have, uh, are a crowd of folks who help us get certain kinds of data that might be tricky to get using automated methods. Um, so good examples might be, Gosh, the, the last time somebody, um, changed jobs, um, which is data that you might find, uh, on the internet, but wouldn't really be able to crawl, um, or for example, information about, um, The number of, uh, sales positions that are open at a company, which is a predictor of how often companies will buy sales products.
AI assessment note: “we think about everything as, as part of the software sale”
Redirected produced feed
D 3 · C 4 · P 3 · Cm 3 3.30
Q When you look at the market for kind of SaaS businesses and the multiples that you're seeing people get, or does it worry you or do you get excited about it?
A Well, you know, I, I think that folks who are focusing on multiples at this stage of their business, um, are really thinking about their businesses in the wrong way. Really the, the right questions to ask are if you're bringing in partners who are going to add enough value to justify going forward. Uh, with your business. Um, and people who are going to be able to, to really drive that next level of value for you. Um, a good partner pays for themselves almost to respect the value, not, not within, um, not without some, some thinking, but, um, I think that folks who are optimizing on valuation, um, at this stage in the game are thinking about things in the wrong way. You know, series A and series B, um, Are still relatively early in the grand scheme of things. Um, companies, if founders think about taking their companies public, um, they should be thinking about the longer game.
AI assessment note: “folks who are focusing on multiples at this stage of their business are really thinking”
Not addressed produced feed
D 2 · C 4 · P 3 · Cm 3 3.00
Q When you look at the market for kind of SaaS businesses and the multiples that you're seeing people get, or does it worry you or do you get excited about it?
A Well, you know, I, I think that folks who are focusing on multiples at this stage of their business, um, are really thinking about their businesses in the wrong way. Really, the, the right questions to ask are if you're bringing in partners who are going to add enough value to justify going forward, uh, with your business, um, and people who are going to be able to, to really drive that next level of value for you. Um, a good partner pays for themselves almost to respect the value, you know, not, not within, um, not without some, some thinking, but, Um, I think that folks who are optimizing on valuation, um, at this stage in the game are thinking about things in the wrong way. You know, Series A and Series B, um, Are still relatively early in the grand scheme of things. Um, companies, founders thinking about taking their companies public, um, they should be thinking about the longer game.
AI assessment note: “folks who are focusing on multiples at this stage of their business, um, are really thinking”
