Discover the untapped potential of social account presence data
Get digital footprint of your users that you can use in fraud prevention, machine learning and automated business decisions
How it works?
Great data point to check if an @gmail.com address is valid and if user is active in digital world (it's hard to avoid Google nowadays). Both e-mail and phone number checks supported.
Shows if user is registered in Apple's ecosystem. Quick idea that ML models can catch upon -if user is using iPhone, but the given e-mail is not registered in Apple - either e-mails is non-primary or there is an increased risk of fraud. E-mail check supported.
Great data point to check validity of a user as such, especially in countries where Facebook is ubiquitous in every aspect of digital life. Both e-mail and phone number checks supported.
Can be an indication of tech-savviness and social activity of the user. Both e-mail and phone number checks supported.
Both e-mail and phone number checks supported. Multiple of our clients state that this is one of the most valuable data points for their machine learning models. Especially in lending segment
Highly-valuable data point both in lending and brokerage industries. An indication user's occupation could be white-collar. Both e-mail and phone number checks supported.
Largest software development platform in world. Profile here indicates high-level tech-savviness of the user.E-mail check supported.
Indicator that the user is potentially interested in various complex subjects and is actually a real human being.Both e-mail and phone number checks supported.
If user has a Spotify account there's a good possibility they are paying for online services. E-mail check supported.
Great indicator that the user is sufficiently well-off to be interested in travelling. Both e-mail and phone number checks supported.
Image sharing and social media service. Another indication that the user is real and not a fraud. E-mail check supported.
An e-commerce giant of Southeast Asia. Both e-mail and phone number checks supported.
By far the biggest messaging platform in Vietnam. Phone number check supported.
One of the oldest and most popular messaging and call services with 300 million monthly active users.Both e-mail and phone number checks supported.
There's a lot of potential power when you look at the data points individually. But looking at their combinations, and especially the total count of platforms a user is registered in, is a very powerful tool when fighting fraud. Just feed the data to your ML model or hard-coded decision engine and see the results for yourself.
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All of the data is provided via a really simple REST API endpoint. We are very flexible in terms of pricing and trial opportunities. Press the button below, and let's have a chat to onboard you to harness the power of social data.
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One of our clients is a lender in Southeast Asia. The client shared the predictive power of social presence data on their repayment statistics for users for whom a loan has been issued.
What you can see here is the effect of each particular presence fact on predictability of whether the client will repay the loan. For example, here we can see that clients that have their phone number registered in LinkedIn are on average 15% more likely to repay a loan than those who don't.
As a finance broker in Southeast Asia, we also rely on the data internally. One of the first indications that digital footprint data will help us improve our results significantly was the correlation between the count of platforms a user is registered in and user's potential conversion rate (the possibility that user will use any of the paid services offered by our partners).
What you see in the table is a user pool grouped by the actual count of registration facts. (registration fact = email or phone number has been registered in a third party platform. If both email and phone number are registered, it counts as 2 facts).In the right column, you can see the conversion rate in % for that particular group.
You don't have to take our word for it - test our system with the data of your choice in our interactive portal. You'll be able to pass any email or phone number and check for the platforms they are registered in + some additional data
After the initial trial and tests on your data, it will probably become apparent that not all of them bring actual value to you. Fear not - with our flexible pricing model, you'll only pay for what you actually need, even if it's only a single platform.
SIA JEFF ir noslēdzis 09.12.2021. līgumu Nr.SKV-L-2021/199 ar Latvijas Investīciju un attīstības aģentūru par atbalsta saņemšanu pasākuma “Starptautiskās konkurētspējas veicināšana” ietvaros, ko līdzfinansē Eiropas Reģionālās attīstības fonds