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 2.2 million in revenue in 2017. And that was seven years basically. Cause you launched in 2010 where you're below 2.2 million in revenue, but then you exploded after that up to 21, twenty two million in 2019. So I'm curious how much of that was because of the partnerships with Google or did you start to really hire a sales organization that helped drive a bunch of that growth?
A Yeah, I don't have the, actually the monthly numbers here. I should probably look them up for me to have, you know, talk about that level of detail, but for sure, kind of both did that. So when we launched the Google Seeds Add-on in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, in, trajectory then. And then, we were on a really good growth path and we started building the sales org. And of course that accelerated it further, but we were already doing pretty well with the product growth.
AI assessment note: “for sure, kind of both did that.”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q So what clues are you learning from your big accounts already in terms of what you might be able to upsell very effectively to the base that's currently paying you lower ACPs? Is it number of seats? Is it product upsells? What's the lever you think?
A So partly exact. It's expanding the, their usage of the core products, as we call them. So if they use Google seats, selling more seats on that, if it's data studio, selling more seats or more data source connectors, as that, that's also a pricing factor for us. But where we see a lot, um, good, good attraction is, uh, going to the, the, the customers who use Google seats or our data studio really heavily, and then saying, we also have a data warehousing offering. Um, so as your data amounts are very large, you would get a lot of value if you add a data warehouse to your, your kind of marketing data stack. And, and there we see, see a lot of, uh, good upsell. And of course these clients, they, they often then end up having a data warehouse, but they also keep the data, data studio or, or Google Seeds, um, product. So we, we can support the kind of full, full range there. Get your data still into spreadsheets very easily, into data studio very easily, but then you also have a robust solution with the data warehouse.
AI assessment note: “selling more seats on that... where we see a lot... good attraction is... a data warehousing offering”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Okay, so great life, obviously. You seem like a guy that is, you know, how to be scrappy. You can live a good life off 300 K. What made you decide to make that first hire?
A Well, the Google Seeds Add-on had taken off really well, and I got a lot of new customers, and I was struggling to, you know, handle all of that. Like, you know, I was trying to develop the product, but I also handled all of the customer service. Then, you know, the marketing sales that I needed to do, I, I didn't really spend too much time on the other of those, but, but still I, I was having my, my hands quite busy. So I figured maybe it's, it's a good time to start hiring. And of course the revenue has grown to the point where I could do that quite safely. Of course, here in Finland, when you hire a person, you're kind of tied to that person. It's not very easy to get rid of the person. So I also wanted to be sure that I had enough buffer there. Even if things don't go that well, I can, You know, keep paying that person's salary.
AI assessment note: “I was struggling to, you know, handle all of that.”
Partly produced feed
D 3 · C 4 · P 3 · Cm 3 3.30
Q And then when did you start playing in the Google app exchange with Google spreadsheets?
A I did that in. I had a pretty okay business with the Excel product, uh, back then. And then Google reached out to me because I had some relationship with them already because Google analytics was a data source for me. So some, some people from Google reached out and then they said that they are planning to launch this, uh, Google sheets, add on gallery. And I asked if I want, would I want to be one of the first add-ons to be featured in that gallery. And, and guess what? Actually, I said no to them. I said, no, I'm not too interested in that. So, uh, like people don't pay for Google Seeds. Uh, I don't think you can make money there. And then I just didn't think that it's a good opportunity. But then I was fortunate because then they, a few weeks later, they came back to me and said, are you seriously not interested? And then I said, okay, I can, I can do something. And then I created this Google Seeds add on and then And they released that gallery in, uh, in, uh, in, in, in, in, in, in, in, in, in, in, in, in, in,
AI assessment note: “So some, some people from Google reached out and then they said”
