The Exchanges

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 →

Brad Parker no published score: no usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.5/5 from 6 produced feed exchanges record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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Answered produced feed D 5 · C 5 · P 5 · Cm 5 5.00

Q And so is that your only model right now? Are you selling the SaaS stuff now too?

A No, we still sell the SaaS product. So our initial plan when we work with the retailer is to educate them on our SaaS product, and that's going to range anywhere from 1500 to 3000 a year. Right now, our average customer is paying us about 225 dollars a month for the software. So once they have our software, we plug all of their lenders into the platform. And what we do is we identify their lender lineup and look for gaps. So if they don't have a near prime option or if they don't have a good subprime option, we'll introduce them to the people that we use and then we'll add a lender to to their portfolio of lenders.

AI assessment note: “No, we still sell the SaaS product.”

Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q And to just to be clear, what you did here, I believe was you acquired a company, a financing company that did about a 120,000 dollars per month because they took a one, two percent back end fee on financing to pet retailers. Is that accurate?

A That was actually our own company. So it was where I actually started in the space. And then as we grew, we saw that there was an issue. We would, we would sell somebody financing and they would never use it. So we would call them. Why aren't you using it? Well, I can't teach my team how to do it. Now I have four lenders. It's too many applications. So what we did is we built the solution to aggregate that all of those lenders into one app, uh, to really streamline the process. So now as we sell financing to our, our retailers, you see them immediately using the product because it just goes right into their ecosystem.

AI assessment note: “That was actually our own company. So it was where I actually started”

Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q They're buying a thousand dollar, whatever stereo on Amazon and Amazon says pay with Klarna and payments. Klarna, I imagine also will do like furniture and stuff, but I think you're a unique example where a very niche player can beat a multi-billion dollar valuation company because you're niche. So if I'm a furniture store, why would I choose to be powered by Formpiper versus Klarna on my lending options?

A The issues with things like Klarna is it's the four payments, right? So they're approving everybody. They divide it up into four payments. So if you finance something that was five grand, you might still not be able to afford the 12 50 payment, right? So in a furniture business, we're typically able to offer customers a 60 month payment plan. So now all of a sudden their payments under a hundred bucks, a hundred dollars is very manageable over a period of time where 1250 is not, you know. So the furniture store is going to spread their Financing options amongst the prime option near prime and a couple subprime options. So they have different approval and different products for the type of customer that's walking through the door. So with form Piper, they're able to diversify their financing options for their customers, where if you were just using Klarna, you'd get a lot of approvals, but you wouldn't have a lot of transactional, you know, things happening. Cause it's just too expensive.

AI assessment note: “with form Piper, they're able to diversify their financing options for their customers”

Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q Oh, interesting. So those are really your roots. And did you, did you launch this at the same time you opened your retail stores with Petland so that you could do better financing?

A So the retail, I've been doing that for 20 years. So basically 20 years in the pet space, uh, seven years in the finance space, realizing that financing was important to the business model, and then now 18 months in the software business to help catapult and make the systems and processes easier. Uh, you know, what it really does, uh, you know, Formpiper is designed to shrink the time that it takes to run applications, but what it actually does for the retail business is it allows your key employees to be out on the floor helping customers as opposed to running applications and doing data entry. So it's had a lot of benefits that we weren't really planning on, you know, so, um, it's been a, it's been a great marriage between, between the companies.

AI assessment note: “20 years in the pet space, uh, seven years in the finance space”

Answered produced feed D 4 · C 5 · P 3 · Cm 4 4.05

Q You know, who else is doing this? Is there anyone else doing this?

A We definitely have some competition in the space. Um, you know, I feel like when they built their technology, they were finance companies thinking about it from a finance perspective. So they do a great job working with finance companies. Um, but I'm a retailer. And so I understand what the business needs. Um, and so my system is built to be agnostic from a lender perspective. So the retailer can choose what lenders they want to use, run them in the order they want to use them. But most importantly, it goes back to that data I was talking about, right? Like, If you want to move the dial in retail, you have to know which salespeople are not performing well. So if you have somebody who's getting approvals and they're not closing those approvals, you have to train that person on how to sell.

AI assessment note: “We definitely have some competition in the space.”

Answered produced feed D 4 · C 4 · P 3 · Cm 3 3.60

Q And how do you interface? Like, do they talk to your furniture owner companies, put together specs and actually deliver the UI UX and the code to you?

A Um, they wouldn't actually talk to the customers. So we do all the talk to the customers. We have all kinds of outlines. We work on 12 week sprints. So we have a laundry list of things that we're working on to improve our systems and processes. And we're just always itemizing it and continuing to evolve it. I know the last time we talked, I told you we were about to launch our third iteration and that we were going to go into just chill mode. That was not correct. Like now we're going for our fourth iteration. We're developing more than we've ever developed. And the cool thing about that is, you know, we're just getting feedback from our customers. What are they looking for? How would they like it? Our relationships with our lenders are getting stronger. So we're doing more API connections. And so when we launch the next version, it's going to be really, really sweet, um, and just be a real turnkey system to help retailers just crush it.

AI assessment note: “they wouldn't actually talk to the customers. So we do all the talk to the customers.”

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