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 4 · Cm 4 4.60
Q Well guys, listen, I'm knocking the hell out of Ben. I'm making him give me all these numbers. So don't blame him. Come after me. Send me a cease and desist or something. All right. All right, Ben, um, this is great. So talk to me about customer acquisition growth. Where did the first a hundred customers come from?
A In the early days, right, we launched this free product in 2007, right? So back then there was nothing else there. So we went and just grew it on forums, basically looking for people that, you know, had the problem that we were solving and just gave them a solution for it. And then over time, uh, because we are the first people who put this little floating chat box on the internet that created some virality. So like, you know, someone adds this to the site, uh, they see it's Olark and then they want it for their own site. Nowadays, that strategy doesn't quite work as well because the space is so crowded with little widgets that float in the bottom right hand corner. But back in the early days, we were really the first company doing that. And that helped us grow quite a bit.
AI assessment note: “we went and just grew it on forums, basically looking for people”
Answered produced feed
D 5 · C 4 · P 4 · Cm 4 4.30
Q Well, Ben, that's not helpful for my audience. Describe, teach us, how do you measure churn?
A Uh, we measure churn based on, you know, you take, uh, you can do monthly churn, right? So you take your MRR for one month, and then you look at the MRR from that set of users at the end of, you know, the beginning of the month and the end of the month, and that gives you a number, right? So you can, you can just look at the negative churn, you can just look at the people who left, and you can also look at upgrades. So you can kind of break those out into two parts and look at the, like, how much are people growing during a month and how much are people leaving during a month. And then what we try to do is survey the guys that leave to try to understand why they're leaving and sort of break that out. Because, you know, we have a lot of small business customers. Many small businesses churn out. They just die, right? You know, you have customers who outgrow you. For example, there's a lot of like You know, let's say you're HIPAA, or you're dealing with a very strong, like, kind of more enterprise compliance requirement, you might move up to someone who, you know, has a, has a situation better, this, better able to serve that, like, large enterprise need. Uh, and then we try to, like, figure out, like, ok, is this churn we care about or not? And right now, we're very happy with our churn rate, and it's, uh, And it's solid from industry standards. And we've, you know, benchmarked i…
AI assessment note: “you take your MRR for one month, and then you look at the MRR”
Answered produced feed
D 4 · C 4 · P 4 · Cm 4 4.00
Q Can you share that detail? So when you said, Hey, what do you want to do in the first year? Were you able to give like a, a numbers like, Hey, we want them to do this, this, this, or.
A Um, I think what we did for them, we basically, uh, you know, wanted to hit the ground running. So we gave them like a 90 days, like, Hey, figure stuff out because, you know, we're don't have a lot of, uh, established, uh, sort of background in marketing. So there's going to be a lot of learning to come on and, you know, taking that, taking that team that is there and sort of assessing them and figuring out how to help them really grow and succeed. And then, and then we sort of set a target for the next 90 days and let people sort of show us how they're going to do that. We actually did something pretty interesting where we, uh, paid people to do homework. So we gave them a bunch of stats that were kind of made up numbers, but pretty close to our real numbers and said like, hey, uh, give us like what opportunities you see, what assumptions you need to make given this data we've given you, uh, what, uh, you know, Put together first 90 day plan and a set in a second 90 day plan. Like what are your key results for each of these periods? And then we sat on call and talked to them about this.
AI assessment note: “we gave them like a 90 days... set a target for the next 90 days”
Redirected produced feed
D 2 · C 4 · P 3 · Cm 3 3.00
Q Interesting. Today, as you add customers, I imagine you've probably tested some paid stuff. Maybe you have some insight or sales or You know, customer success people. When you look at like your fully weighted, you know, cost to acquire a hundred dollar a month account, what are you willing to pay for that?
A We are like, uh, we are like horrible at marketing. So like right now, so this is the area where I would say as a business, like it's the area where the least invested. So, uh, even though our, our product is bought by marketers and, you know, we have a lot of very smart customers using our product that have done a lot of modeling, like, you know, cost acquisition, off chat, how that converts into a paying sale. Like Olark, we've mostly done organic and we haven't really like pushed it out. Uh, we're actually in the process of, uh, Sort of basically investing in marketing, like bringing in someone who's like far better marketing than we are to sort of help us scale because we've realized that organic, uh, is nice, but I think we can do a lot better now.
AI assessment note: “We are like horrible at marketing... we've mostly done organic and we haven't really”
