Sellers: The individual who sells their data by completing data packets

Buyers: The Individual/company who purchases the data packets

Bid: TARTLE is a marketplace, so buyers will bid a specific amount of money per data packet. When a bid is out or live the data packet is paying. (500 Data Packets at $1.000. The seller would receive $1.000 for filling out said data packet and the buyer would receive 500 data packets from 500 sellers.)

Data Packets: Is where data is housed that the seller has chosen to share.. Sellers fill out either a survey or upload a document(s) or have a social media account integrated into a data packet. There are over 1,000 distinct data packets available on TARTLE

Sellers receive 100% no cost cut from them

Buyers pay an 11% transaction fee for each bid on TARTLE

If buyers buys a data packet for $1 the total amount paid will be $1.11

Both the buyer and seller. Buyer sets bid, seller accepts. Then a market price is set.

228 countries around the world, but can be filtered on Buyers Preference

Packets already on TARTLE in addition to creating specific packets for YOUR needs

Range and supply is how much you want to pay and create. Note: Data packets can always be edited to ask more questions or less questions.

• Self Reported data and surveys
• 3rd Party API’s
• Direct Data Uploads (PDFs, VIdeos, Spreadsheets, etc.)

How can the services available on TARTLE be applicable to my business?

1. Monetizing your own data streams and analysis
2. Allowing your users to monetize their data
3. Supplementing your current data sets with bespoke and highly correlated data

• Boolean (True or False) Open Response
• Multiple Choice Video Testing
• Multiple Select Multiple Choice Brand/Image Testing
• Range Input Audio
• Number Input

• Single Bid

• 24 Hours or less after a bid has been instituted.

• Real Time Bid (Subscription Bid)

• When the date of the bid ends or when the amount of data packets purchased is reached.

When you purchase a data packet, you own it as a buyer. At the end of the bid cycle our system assimilates all of that data from each individual person and packages it very nicely for you in XML or CSV file. Data direct uploads are packaged in their original format (PDF, JPEG, MP4, DOC, etc.).

• Open API
• FTP File drop
• Buyer Terminal direct download link

• Date of Birth
• Date of packet last updated
• Sex
• Identified gender binary/specificity score
• Seller Public Key (Identifier)
• Country
• Turing Score (Unique user score on how active a seller is on TARTLE)
• Bids previously accepted (Re-target or exclude a previous bid)

You have the option to use data packet(s) on the system or customize a data packet specifically for the client. 

Email contact@tartle.co to schedule a meeting to customize your company's own data packet. To suggest a data packet and to understand how data packets are built, the search tab in the buyer terminal has a “+” to add a new category or suggest a new data packet. You will be able to add questions to a customized data packet. If you need assistance please email help@tartle.co

TARTLE can do the purchasing and compile data into a CSV file for a higher transaction fee or the client can use the marketplace on their own buyer account in a self-service format.

TARTLE can source new data cohorts at significant market discounts and drive them to complete specific data assets for your enterprise.

We preserve field names along with field level data that we receive from integrations, and for machine-transmittable document types, we store the document whole for delivery to buyers in bulk. these types of documents would be things like health records, genome sequences, etc.

Once the person has converted, now they're a lifetime user. Now let's just repeat off the data purchasing. They would purchase data again if they had specific questions or something that they were wanting.

Those people that are taking a risk one with us, trusting us to help them with the management of their data and using this tool and helping them facilitate economic compensation from it and putting it towards causes they care about that's one thing, but they also need to take a risk with sharing, sharing things that are truthful. And when you look at these pillars, these things require integrity, it requires truth, it requires risk, it requires flexibility, it requires patience in all of those pieces that come together are things that I say define what a data champion looks like.

The internet is a decentralized system and it's becoming even more decentralized. So when you do something, when you interact, you have the ability to interact with people, thousands of miles away instantaneously at the speed of light. So if we can show you that interaction and its impact in a visual representation for you, then you regardless of where you are, no matter how small the island or how large or how insignificant you think your impact is, you will see that you've had a greater impact way beyond your little locale in this small perspective of life that you may have right now on the rest of the globe.

Those people that are taking a risk one with us, trusting us to help them with the management of their data and using this tool and helping them facilitate economic compensation from it and putting it towards causes they care about that's one thing, but they also need to take a risk with sharing, sharing things that are truthful. And when you look at these pillars, these things require integrity, it requires truth, it requires risk, it requires flexibility, it requires patience in all of those pieces that come together are things that I say define what a data champion looks like.

The internet is a decentralized system and it's becoming even more decentralized. So when you do something, when you interact, you have the ability to interact with people, thousands of miles away instantaneously at the speed of light. So if we can show you that interaction and its impact in a visual representation for you, then you regardless of where you are, no matter how small the island or how large or how insignificant you think your impact is, you will see that you've had a greater impact way beyond your little locale in this small perspective of life that you may have right now on the rest of the globe.

There is no other place that can do what TARTLE does. Why is the key driver for how people behave and think versus 3rd parties trying to predict after the fact.

Data buyers have the ability to ask the human beings that support their products and services what it is they are missing, or where those humans are choosing to spend their time and resources outside what the company or organization knows in their narrow business perspective.

2 ways through the clients information you already have in possession such as mailing address or emails. Provide these targeted users you wish to purchase data from them ethically.

• Mail
• Email

1. Run through international database no bad actors in the system, weaken the credibility of what TARTLE does 
2. Technological controls and measures to prevent robotic systems chiming to create false data and false profiles the human requires human interaction to work 
3. User are required to link up external systems and services which have already verified their identity as a human being Facebook twitter linking health records and PayPal

TARTLE is a self service marketplace platform. Our technology is designed to decrease regulatory risks of data acquisition and management due to the nature of the transaction coming from a data producer. TARTLE is free to join for everyone, no subscription, and is structured with a pay as you go model.

Sellers cannot delete data after the data packet is sold. The data packet that is sold is now owned by the buyer. There is record of exchange and consent that the data sold is now the buyer's property.

Data can be de-identified or identified depending on the packet selected for a bid.

• The marketing effort required to build a specific subset of people within the United States takes 7-15 days to convert them to a TARTLE user. 7 days for conversion, 7 days for retargeting. The cost of acquisition for a U.S. citizen is $3.50 USD.
• Marketing attribution and our marketing algorithm need this time for understanding the touchpoints of that user to lead them to conversion. Closer to 30 days this becomes more efficient and effective for dialing in the ROI for the specific spend on user acquisition.
• Once the user has converted to the platform, the bid cycle is 24 hours. So after the notification and push for the demographic of the user to fill out that data packet, they have the ability to sell that data packet to fill the bid volume. Filling is on a first come first serve basis. When the bid maximum of respondent sellers is complete - the bid finalizes and transactions completes. If the population of sellers does not hit bid maximum, then the 24 hour bid cycle will continue until time ends and the bid closes. Afterwhich the system assimilates the data from the sellers and makes it available for download on the buyer terminal.

The way the seller is introduced into the marketplace is found in our motto. Share Data. Earn Money. Change Your World. Let us examine how this break down and effects the current relationship between buyer and seller

• Share Data: The vision is a world of perfect information transfer. The seller understands that people want to purchase their data because of the downstream value to the buyer who is looking to market goods and services after analyzing the data for their business intelligence decisions. This process does not occur without proper incentive which leads to the next point.
• Earn Money: This is where the incentive structure plays a key role for unlocking the data from personal silos and making a consent driven transaction logical, fair, and efficient between parties.
• Change Your World: This final pillar defines the strongest part of the ongoing relationship between buyer and seller and the impact of sharing data towards causes that one cares about or is personally affected by. The system is designed to review the systemic effects of sharing the data for a seller which reinforces the positive relationship between both parties and the transparency of how and where the data is being used and for what specific purpose. It builds community around certain data packets that are needed to create solutions for that cause, and offers greater goodwill to the buyer and the market's (sellers) perception of how they operate (16% of the public see them as failures in ‘doing the right thing’). It's a stream and dialogue of data that pushes users to share more, more often, and if they feel compelled to, share their earnings back to causes they feel are important. This should help with visualizing the lifecycle of the parties working in tandem.

Again, all of these items are reinforced through podcasts, video podcasts, notifications, direct communication, and educational material published online.

Our security practices prohibit the sharing of our dashboard because of the sensitive information and proprietary software we have designed, but here is what I can share you regarding historical pricing around data:

• As a general rule of thumb data packets (the item that is traded on the marketplace) carry a higher cost to the buyer when they include sensitive information that is identifiable to the user for data that is otherwise completely unavailable and confidential.
• For example: Healthcare data that is de-identified for a medical record typically moves around the range of $200 USD, when that record is published to the marketplace with PII, the cost raises to a maximum of 10x that value ($2000 USD). Of course that is also dependent on the demographics of the purchase and other identifiers of value to pharma and medical research.
• Data that houses information from say a facebook profile can range anywhere from $0.40 USD to $1.00 USD. This is because of the ease of integration with the marketplace and general availability of the data that is already online.
  
  • Please keep in mind that transactions that are bid for less than $1.00 USD are required to be placed with cryptocurrency (bitcoin) as its fractional payment works best in micro-payment scenarios. Above that threshold fiat or crypto can be used depending on the buyer's choice.
• Combined data sets that carry granularity and volume transact x > $5 USD. Again dependent on data topic, labor intensiveness of packet completion, and identifiable markers.
• A solid practice is to bid higher for data that personally identifies, to better incentivize a seller to sell. Market mechanics and economics have interesting outcomes considering an intangible asset is being traded that can be copied. Lastly, if you choose to do a multi-purchase study, you can come in lower with a bid as the annuity stream over time for a seller means they are willing to take a discount on the recurring purchase.