Tartle Best Data Marketplace
Tartle Best Data Marketplace
Tartle Best Data Marketplace
Tartle Best Data Marketplace
June 12, 2021

TARTLE Buyers of Data FAQ 2

TARTLE Buyers of Data FAQ 2
BY: TARTLE

TARTLE Buyer FAQ Part 2

Most people would agree that quantity is less important than quality. What good is it to have a lot of something if none of it does the thing you need it to do? Data is no different. It’s a lot better to have a relatively small amount of data that has a lot of identifiable markers that can help give you the answers you need rather than a mountain of data that tells you nothing. If you are a buyer that is just hoarding data without getting answers, you’re just wasting your cash. 

Yet, you’d be surprised how many people just keep looking for more data with no thought to its quality, persisting in the false hope that if they just have enough data, they’ll get what they need. No, you won’t. What you need is a place to buy some quality data. Fortunately, we happen to know a place by the name of TARTLE.

However, you might ask what is our long-term vision of the relationship between the buyer and the seller? Our vision is nothing less than a world of perfect data transfer. We want to be able to seamlessly get data from the individual silos that are the sellers to our buyers who can use it for some greater good. Or to put it more simply, to help get data from people who have it to people who need it. It also helps people find causes they believe in to share their data with. 

Imagine you’re the American Heart Association and they are doing a new study on the best habits for keeping your heart healthy. You could put the request out into our system and sellers would respond, knowing that their data will be used for a good cause. This creates a double incentive for the seller to share his data. 

Think about it. How much incentive does a person have to share his data with a stranger? Not much, especially for free. In the TARTLE data marketplace, a seller actually gets paid for sharing his data. That’s one incentive, but the other is based on the reason that you, the buyer, wants the data. If you want the data for something a seller is concerned with himself, then you’ve made a connection. You are now not completely strangers. That connection, based around a common cause is the other incentive. It’s the desire of the buyer and the seller both to help make the world just a little better that really makes the transaction happen. 

This creates a model that is logical, efficient, and fair. How is it logical? Quite simply, the seller owns the data that you want. Like anything else, you simply offer a certain amount of money for that. The transfer of data logically works the same as any other purchase. How is it efficient? All our transactions operate on a 24hr bid cycle so if the needed sellers are already part of the system, it is very fast and efficient to get the needed information. The buyer also only pays for exactly what he gets; there is no overspending or overcharging in our system. Finally, in the TARTLE data marketplace, both parties are getting something that they want – the seller gets paid and the buyer gets his data. Everybody wins. 

As such, TARTLE offers the opportunity for a company to build goodwill with customers by inviting sellers to sell their data while being transparent about how it will be used. When people see these interactions and see how the company will use that data, it can be a strong motivator to use that business over another one that is less open about how they operate.

TARTLE is a system that treats all of its users with equity, inviting all of them, buyers and sellers, to change the world while sharing data and earning money all at the same time. Which only leaves one more thing – 

What’s your data worth? Sign up and join the TARTLE Marketplace with this link here.

Summary
TARTLE Buyers of Data FAQ 2
Title
TARTLE Buyers of Data FAQ 2
Description

It’s a lot better to have a relatively small amount of data that has a lot of identifiable markers that can help give you the answers you need rather than a mountain of data that tells you nothing. If you are a buyer that is just hoarding data without getting answers, you’re just wasting your cash. 

Feature Image Credit: Envato Elements
FOLLOW @TARTLE_OFFICIAL

For those who are hard of hearing – the episode transcript can be read below:

TRANSCRIPT

Announcer (00:07):

Welcome to TARTLE Cast with your hosts, Alexander McCaig and Jason Rigby, where humanity steps into the future and soft data defines the path.

Alexander McCaig (00:26):

Buyer FAQ series, number two.

Jason Rigby (00:29):

Alex, are you ready?

Alexander McCaig (00:30):

I am ready. I didn't realize this. I don't know what my subconscious deal is. And a lot of my friends call me out. I'm wearing five shades of blue and I'm sitting in a blue chair.

Jason Rigby (00:43):

Yeah, isn't there a movie about that?

Alexander McCaig (00:45):

I have no idea, but I can't-

Jason Rigby (00:46):

There's like, 50 Shades of Blue?

Alexander McCaig (00:48):

No, I have different color clothing in my wardrobe, in my closet-

Jason Rigby (00:52):

Who cares?

Alexander McCaig (00:52):

I just don't get it. I don't know why my body-

Jason Rigby (00:56):

It's like I have this thing where I have to, because I'm going to the gym right after that.

Alexander McCaig (01:00):

Yeah.

Jason Rigby (01:00):

But I have to match brands.

Alexander McCaig (01:02):

See?

Jason Rigby (01:02):

I have a Reebok shirt on and shoes.

Alexander McCaig (01:06):

I'm not even thinking about it. I'm just grabbing. Oh, that'll work, that'll work. And then I realized, man I'm all blue.

Jason Rigby (01:11):

That's why Steve Jobs and Mark Zuckerberg did the thing they did.

Alexander McCaig (01:15):

Yeah, I guess they didn't think they did. I don't know what my deal is though.

Jason Rigby (01:18):

That's good. Blue. Maybe you were in the mood for blue today.

Alexander McCaig (01:20):

I feel like I'm in the mood for blue 300 days out of the year and the other 56 I'm wearing something else.

Jason Rigby (01:27):

Very, very. Yeah. You had some cattle jacket on the other day.

Alexander McCaig (01:31):

Yeah.

Jason Rigby (01:32):

You looked like you were Australian.

Alexander McCaig (01:33):

I felt great.

Jason Rigby (01:34):

Yeah. It felt like that... What was that material they used to make hats out of, and it could get rained on? You know what I'm talking about? I think it's like a [crosstalk 00:01:44].

Alexander McCaig (01:43):

It's like a mole skin.

Jason Rigby (01:45):

Yeah. Yeah.

Alexander McCaig (01:46):

I believe that's what it's called.

Jason Rigby (01:47):

Yeah. And somebody will know, I think there's like Filson hats or something like that.

Alexander McCaig (01:52):

Yeah. Filson, and they-

Jason Rigby (01:53):

They had oil, it was oil-

Alexander McCaig (01:56):

I had my oil waxed jacket, Barbour jacket.

Jason Rigby (01:58):

Yeah.

Alexander McCaig (01:58):

Yeah, thank you.

Jason Rigby (02:00):

You were looking very...

Alexander McCaig (02:01):

It was blue. It was blue. It was blue.

Jason Rigby (02:03):

There you go.

Alexander McCaig (02:04):

Now that I think about it. I live in a blue nightmare.

Jason Rigby (02:07):

Speaking of nightmare?

Alexander McCaig (02:08):

What are you talking about? This is a buyer FAQ.

Jason Rigby (02:12):

We are, because it's a nightmare to buy data nowadays.

Alexander McCaig (02:15):

Oh it is. Just trying to-

Jason Rigby (02:18):

And to make sure it's legit and quality.

Alexander McCaig (02:21):

Yeah.

Jason Rigby (02:21):

Quality, I think is where everyone's at right now. It's like, can I buy some quality data?

Alexander McCaig (02:26):

Yeah. Can I buy a quality car or a quality product from Walmart? Probably not Walmart...

Jason Rigby (02:31):

Right, right.

Alexander McCaig (02:31):

But that's what it is. That's what it's starting to boil down to. They're like, we've been spending all of this money on all this stuff. It's not giving us any answers. The data has no depth. It has no identifiable markers in it. We're wasting our cash. Is there anything out there? Is there a feasible, easy option?

Jason Rigby (02:50):

The worst part is you're just collecting worthless data. So what does that do to your systems in your-

Alexander McCaig (02:55):

But it makes them feel good because-

Jason Rigby (02:56):

I know, yeah. Oh we got 200 million email addresses.

Alexander McCaig (02:59):

Yeah, we had a guy who came to us and he's like-

Jason Rigby (03:00):

What are those?

Alexander McCaig (03:01):

He's like, we have so much data. Okay, why do you need more? Oh, because it's not giving us any answers.

Alexander McCaig (03:07):

Oh, okay. Great. Fantastic.

Jason Rigby (03:11):

Yeah, it's like a hoarding of data.

Alexander McCaig (03:13):

No, it's funny. It's like everything we say is not nonsense.

Jason Rigby (03:16):

Right.

Alexander McCaig (03:16):

It's just legitimately how it is.

Jason Rigby (03:19):

Yeah, it's crazy. So let's get into... Since this is the second episode. If you haven't listened to the first one, the first one is about data recruitment life cycles. And then how we ultimately took completed buy or sell transaction. Go back to YouTube playlist. Just on, if you wanted to buy data, we have all that explains everything. Extremely transparent. Number two, a closer examination of the impact of market forces, buyers, and the ongoing relationship with sellers. This one's important.

Alexander McCaig (03:47):

Yeah. So if you go back to our motto for TARTLE, it's share data.

Jason Rigby (03:54):

Right.

Alexander McCaig (03:56):

Earn money.

Jason Rigby (03:56):

Right.

Alexander McCaig (03:57):

Change your world. These have a strong gearing towards the individual that's selling the information. Now, when we talk about shared data, I want you to just quote exactly what I wrote and I will go in and describe this.

Jason Rigby (04:12):

The way the seller is introduced into the marketplace is found in our motto: earn data, change money, earn your world. Do you like that?

Alexander McCaig (04:24):

That's great.

Jason Rigby (04:25):

I made tons of different variations, because there's three of them and you can make all these different... I did nine different variations and they all sound amazing. It's inner trance... what do you call that? There's a word for that. They're independent of each other, on each of the words.

Jason Rigby (04:41):

Ah, we know. Sorry. I'm way off. Okay. So share data, earned money, change your world.

Alexander McCaig (04:46):

Yeah.

Jason Rigby (04:46):

That's our motto.

Alexander McCaig (04:47):

Let's talk about sharing data.

Jason Rigby (04:48):

Let us examine how this breaks down and affects the current relationship between buyer and data share data. The vision is a world of perfect information transfer.

Alexander McCaig (04:57):

Yeah. So we are creating a tool that will allow this world to move information that was otherwise locked down.

Jason Rigby (05:05):

Right.

Alexander McCaig (05:06):

Or non-existent, and allow it to seamlessly transact between person and person. This is outside of the financial aspect of the marketplace that is an incentive. What we want to do is make sure that information that is needed can get to the people that need it. That's what it is. And the people that are sharing it can share it towards causes that they care about.

Alexander McCaig (05:24):

So if you, as someone that is creating a data packet, want to say that we are the American Heart Association. We are looking to purchase data, health data, social determinants of health, anything like that from a body of people here in the United States, we would like you to share it towards that cause, and we want to tell you how we're going to use that data.

Jason Rigby (05:47):

Right.

Alexander McCaig (05:48):

So now the seller on the other side is like, okay, I can feel good about this. This is something I can support. And I like the fact to know that this is how they're going to use the information that I'm giving over to them. So every single one of those transactions, if the buyer chooses to do so, can share what the use of that data will be and what cause it goes towards.

Alexander McCaig (06:09):

So beyond a financial incentive for the seller, it's the altruistic part of it, where they're looking at it's like, look at me, helping in a large systematic effort, a unifying effort of all these people coming together to say, look at the change we've created.

Jason Rigby (06:26):

Yeah, and I want you, if you don't mind, clarify a proper incentive.

Alexander McCaig (06:30):

Yeah. Proper incentive. Okay. What incentive do I have to share information with a stranger?

Jason Rigby (06:38):

Really, there's none, unless-

Alexander McCaig (06:40):

This is my point.

Jason Rigby (06:41):

Unless you're just secretly trying to, with these, which I would never trust a cookie that's looking at me. Would you ever eat a cookie that was looking at you?

Alexander McCaig (06:48):

A cookie that looks at me. No.

Jason Rigby (06:50):

Yeah. That's what's happening.

Alexander McCaig (06:51):

That bothers me.

Jason Rigby (06:51):

Yeah.

Alexander McCaig (06:52):

No, but you have no incentive.

Jason Rigby (06:54):

Right.

Alexander McCaig (06:54):

So without a proper incentive and an incentive that works and is globally understood, you're not going to be able to move that information or get information that otherwise people would choose not to share.

Alexander McCaig (07:07):

So when we talk about earning money, which is point two, that proper incentive is paying individuals for that information. It's valuable to you. You know what you're going to do with it. And you should also share to them whatever that value might be, because they should be a benefactor also. They're the one that puts the labor into create that data for you.

Jason Rigby (07:28):

Yeah. And you use the key words here, unlocking the data from personal silos.

Alexander McCaig (07:33):

Yeah. So every person is their own individual silo, whether it's a relationship that we have. Okay. Like a romantic or a business, whatever it might be, you're your own silo. And you choose to share when you want to share. But if you have someone that's totally a stranger coming in to unlock that information, those people require a financial incentive. And if you can come on top and say, here's the altruistic reason why you should be doing it too. Now they're really incentivized to share that data.

Jason Rigby (08:02):

Yeah, and I always picture it. And this is what I love about TARTLE. I always picture it like a relationship. I can gain information by being passive-aggressive and kind of being a little ticked off. But then at the same time, just watch your mannerisms, languages. Maybe I'm in an argument with a loved one or something. Or I can say, let's sit down and have a truthful conversation. Let's have a meaningful conversation right now. What is going to solve the problem and be more truthful and accurate?

Alexander McCaig (08:29):

That's correct. And that's what we're doing. We facilitate a transaction, the relationship between buyer and seller.

Jason Rigby (08:34):

Right.

Alexander McCaig (08:34):

That's what we're here to do. And we want that truthful information to be shared and economic incentive and an altruistic incentive, and then showing people the benefit of that sharing causes them to be more truthful.

Jason Rigby (08:46):

Yeah. And you make a statement here and I want you to explain all three of these, a constant driven transaction, logical, fair and efficient. So get into between both parties. I think that's important. We want it to be fair between both parties, but get into logical, fair and efficient.

Alexander McCaig (09:01):

So what's logical about it? Just frankly, everything.

Jason Rigby (09:06):

Right.

Alexander McCaig (09:06):

Okay. Our logic is if somebody owns something, they choose to sell it like a manufactured, a widget. That's the logic of that. Okay. And the financial incentive is that some person comes in. I want to purchase that widget. Okay. So we're just going to translate that model into what data is. What's the second point?

Jason Rigby (09:23):

Efficient.

Alexander McCaig (09:24):

It's efficient. Why is it efficient? Everything works on a 24 hour bid cycle. It doesn't cost you any barrier to entry to come in and you only pay for exactly what you need. And it's instantly transferred to you. In that data itself, depending on the quality of how you ask that question.

Jason Rigby (09:39):

Right.

Alexander McCaig (09:40):

Okay. Or ask for that type of data is going to define the quality you're going to receive from the sellers. If I do a poor job, being Socratic, people aren't going to learn. Correct?

Jason Rigby (09:51):

Yes, no.

Alexander McCaig (09:51):

You see what I just did?

Jason Rigby (09:52):

Yeah, yeah, yeah. No, no. What I mean, it goes into the fair part. I think. I mean, cause it's logical, fair and efficient and I know we're talking about efficient, but whenever you, whenever I'm looking at you teaching me something, I think of fairness.

Alexander McCaig (10:03):

Yeah. You think of fairness. And when we think... And on top of fairness, when we think of efficiency, we think one person wins.

Jason Rigby (10:09):

Yes. Yeah. Exactly.

Alexander McCaig (10:10):

We've lived in a world where it's just like, oh, to be efficient, I have to claim the resources.

Jason Rigby (10:13):

There has to be a loser.

Alexander McCaig (10:14):

Yeah. We don't have to have a loser. Both parties can win. And so there's a fairness in this transaction. You're respecting me for my data, paying me for it. And I'm respecting you by sharing it towards a cause that you need to solve. And together, through that, that fairness, we've both solved an issue that we both care about.

Jason Rigby (10:33):

Yeah. And I think that is the way, and we've talked about this many times. But that's the way the world is going. We don't want to have blood diamonds. We don't want to have food that's manufactured off of the backs of eight-year-old kids in a different country. It's the same with your data. You don't want to have some nefarious way that this information was given to you and somebody lost their data. Their data was... They were deceived in giving their data. And it's true.

Alexander McCaig (10:59):

You're coerced.

Jason Rigby (11:01):

Yes. It's truly fair and honest in the application of you purchasing this data.

Alexander McCaig (11:07):

Yeah. And it shows that you as a company have a deep respect for these individuals. And what was that a statistic we were looking at? 68% of-

Jason Rigby (11:17):

Yeah. It was 68, 67, something like that.

Alexander McCaig (11:18):

Yeah. 68%, 67% of Fortune 500 companies, their leaders feel they are doing the right thing.

Jason Rigby (11:26):

(laughter)

Alexander McCaig (11:27):

You're okay?

Jason Rigby (11:28):

Yes.

Alexander McCaig (11:29):

They're not even really sure. They just feel they're doing it.

Jason Rigby (11:30):

Right.

Alexander McCaig (11:31):

But then, and for our buyers, some of them fall into that bracket. And then for the sellers, the people that actually interact with these companies, 16% only felt they were doing the right thing. So that means-

Jason Rigby (11:44):

Most people think corporations are not.

Alexander McCaig (11:45):

That's correct. So, for the majority of the public, you really want to build some goodwill and value them for who they are. You can build a lot of goodwill using the TARTLE marketplace.

Jason Rigby (11:54):

Yes, exactly. And it's a way, and you'll see that when you go on there and log in, create your account. It's free, by the way, to do. You can poke around after that.

Alexander McCaig (12:03):

Poke around all day.

Jason Rigby (12:04):

Yeah. So share data, earn money, change your world. This is the final pillar that defines the strongest part of the ongoing relationship between buyers and sellers and the impact of sharing data towards causes that one cares about are as personally affected by it.

Alexander McCaig (12:18):

That's correct. We've seen... In politics, you see polarization. And with data and technology and the people creating that data, there's polarization too. So how do we look at both these poles and get them to work together? Something that albeit quite difficult in politics, we've created a tool that both people find a shared value in. And in doing so they can facilitate their data towards a collective cause so that they can change their world.

Alexander McCaig (12:45):

For a seller, they can change it financially, economically. Right? And they can also change it in the stance that I've shared data towards maybe some sort of disease research. So I feel better about my four children.

Jason Rigby (12:57):

Yes. I love [crosstalk 00:12:58].

Alexander McCaig (12:58):

Knowing that I pushed forward. If I have 35 years of a medical record and I want to share it to CVS Health or whoever it might be or some bio-pharmaceutical firm, because I know this is how they're going to be using it. I want to do that. I want to brighten my children's future. Okay? And that's in a big altruistic sense, but there's a lot of people in our system that feel that way.

Alexander McCaig (13:17):

And our sellers fall into, I guess, three categories. The first one would be, I just want to earn money for my information. That's it. I just want the economic incentive. And that's dependent on the culture for most people anywhere in the world. The second person is I don't really need the money, but I like the idea of sharing information towards a cause I really care about. Great. And then the third one is the person that's the blend. I like receiving the extra income. And I like the fact that I can have a direct impact on these problems, major problems beyond whatever my little localized life may be. I can have reach all across the globe.

Jason Rigby (13:57):

Yeah. And I want people to understand our priority in building community and how we can build community through data.

Alexander McCaig (14:05):

Yeah. Listen. We can... Our users, especially the sellers, they're our data champions.

Jason Rigby (14:11):

Right.

Alexander McCaig (14:12):

They're on their own journeys. And so to come in and you can help them on that journey, and then they can help you, that builds an online culture that has been missed for a long time. We've had such a black box online culture. No one knows what's going on. It lacks transparency. I don't know where my data went, how it's being used. That doesn't need to be like that anymore. We can live in a world of truth and transparency that we can all effectively live in a culture that is online and is understood by all.

Alexander McCaig (14:41):

Even if people have a separate culture in Kenya, Ethiopia, Sudan, Indonesia, Malaysia, Philippines, India, China, they have all their subcultures. Right? But then when we together online, there needs to be a greater culture of how we share that information and how we're solving problems. And the collective, all of us across the globe, creating that data, we have all of our answers.

Alexander McCaig (15:03):

So for a buyer to come in, they allow themselves to unlock those answers. Right? And then share the positive benefits back to those individuals that sold it.

Jason Rigby (15:13):

No, I love that. And I think that visualizes the life cycle of the parties and how we all work in tandem together. And you say this in final, again, all of these items are reinforced through podcasts, video podcasts, notifications, direct communication and educational material published online. So we're communicating with the seller. I mean, not only are we communicating with you guys, but we're communicating with the seller just as much.

Alexander McCaig (15:37):

Yeah. Because coercion never worked well. And education works. That's why we allow you to poke around in the system. We're not going to prohibit you from doing so. Go use it and study the tool. I'm not going to ask you to go fly a plane if you've had no training on it. I'm not going to ask you to sell your information if you really don't know who we are. We want to put it out all on the table for you. It's for your benefit as a buyer or a seller.

Jason Rigby (16:02):

Yeah. Because if we're being transparent and we're educating...

Alexander McCaig (16:06):

We're not here to create any harm.

Jason Rigby (16:08):

Yes, exactly.

Alexander McCaig (16:08):

We're not here to sway you into doing something you otherwise shouldn't be doing. We just know what's going to help this world. And you as a buyer can, especially people... The buyers have a lot of resources. You can facilitate a lot of change, but buying data from TARTLE will help you facilitate the proper change.

Jason Rigby (16:26):

Yeah. And how to buy data, you go to TARTLE. T-A--R-T-L-E dot C-O. Sign up. You'll see a button on the right-hand side. You can sell your data while you're there. Also, if you want to play around with that.

Jason Rigby (16:39):

I heard somebody talking about that. It's like, well, let me try that first, before I go into buying. So either way, you could put your personal information in there, roll with that, kind of see how the system works on both sides.

Alexander McCaig (16:52):

Yeah. A lot of our buyers have come in and they were, not to go any longer than this, but they're usually personally inquisitive. And then professionally inquisitive.

Jason Rigby (17:02):

Yes. Yeah, exactly.

Alexander McCaig (17:02):

And that's fantastic. And it allows you to holistically see both sides of how this whole thing comes together.

Jason Rigby (17:07):

Yeah. So we encourage you, like you said, poke around. Have some fun.

Alexander McCaig (17:11):

And if you're a company that wants to sell info, open yourself up a new annuity stream. You've been hoarding all that data. Let's start to unlock the value of it.

Jason Rigby (17:18):

Yes, exactly. A hundred percent TARTLE.co. Thanks.

Announcer (17:30):

Thank you for listening to TARTLE Cast with your hosts, Alexander McCaig and Jason Rigby, where humanity steps into the future, and resource data defines the path. What's your data worth?