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SocialScore - Data Brief
Data Brief

The customer is always one. Every system around them needs the same context.

SocialScore improves every data layer and gives each system the context it needs: the merchant, logistics, the payment provider, the chat agent, support, omnichannel and personalization.

Sharper targeting up front
Better profile, more revenue
-20% CAC on average
High spenders found before the first payment
01 · The landscape

What customer data a business has today, and who supplies it.

Data sources, grouped by when they start working. The third column says what each one needs from the customer before it knows anything.

Data typeSupplied byNeeds from the customerSocialScore
Works before the customer paysFrom a visit, or from an email or phone number
Web and app behaviorAnalytics, pixels, CDPsA visitPixel
Device and fraud intelligenceFraud vendorsA visitIn the Pixel
Third-party and ad-platform audiencesBrokers, Meta, GoogleNothing: the platform holds itReady segments
Contact validationVerification vendorsAn email or phoneIncluded
External digital dataSocialScoreAn email or phoneCore
Works once the customer shares moreA sign-up, answers, consent or a legal basis
First-party dataShop, CRM, ERPA sign-up or an orderWe process
Zero-party dataForms, quizzesTheir answersWe process
Open banking dataOpen banking providersTheir consentVia partner
Works at paymentOnce a card payment has happened
Payment and transaction dataPSPs, card networksA card paymentWe combine
The takeaway: the earlier a layer starts, the earlier you can act. Layers that start before payment decide targeting, layout and offer. The layer that starts at payment confirms the outcome.
02 · The moment that matters

One customer, step by step: what you know at each moment.

Four journeys. Each lane shows what a layer knows at that step, and the last lane shows what the layers achieve together. Dashed means there is nothing to act on yet. Tap ? for the detail.

1Sees an adAnonymous visitor
2Browses, adds to cartStill no identifier
3Types email or phoneBefore paying
4PaysCard, COD, wallet, crypto
5After deliveryCustomer may leave
6Comes backOr does not
SocialScore data
Source, device, human or bot
Products, carts, returns
Full profile in under 5 sec
Risky orders flagged
Verified contact, best channel
Segments, lookalikes
Merchant data only
Nothing about a new visitor
Nothing yet
Form fields only
Order and address
Delivery status
Order history
Transaction data
Nothing yet
Nothing yet
No card, no payment
Card payments only
Settled spend
Spend history
Together
Sharper targeting up front
Intent understood
High spender predicted
Spend confirms it
Every team in sync
Lookalikes of real high spenders
Layout, offer, channel and risk are decided at steps 2 and 3. Transaction data starts at step 4, and never for cash on delivery, wallets or crypto.
1Sees an adInstall or web visit
2RegistersNo deposit yet
3Claims a bonusFree play or welcome offer
4First depositCard, wallet, crypto, voucher
5Keeps playingRepeat deposits
6Stays or churnsRetention
SocialScore data
Source, device, human or bot
Profile and predicted segment
Bonus abuse flagged
Best channel and offer
Segments refresh
Churn and loyalty signals
Merchant data only
Nothing about a new visitor
Registration fields
Play and bonus logs
Deposit record
Play history
Activity history
Transaction data
Nothing yet
No deposit, no card
Nothing yet
Card deposits only
Card spend history
Card spend history
Together
Targeting aimed at the right players
Segment predicted at sign-up
Abuse caught, offer fitted
Deposit confirms the segment
Segments sharpen
Win-back aimed correctly
The segment is predicted at registration, before the first deposit. Card data shows up only for card deposits.
1Shopper asks the agentRequest arrives
2Agent asks for contextMCP call
3Agent personalizesAnswer and offer
4CheckoutCustom page
5Next conversationContext stays
SocialScore data
Nothing yet
MCP call, full context
Personalized answers
Custom page and checkout
Context stays current
Merchant data only
Nothing about who asks
Nothing yet
Past orders, if known
The new order
Order history
Transaction data
Nothing yet
Nothing yet
Nothing yet
Card payments only
Spend history
Together
Nothing yet
Context before the answer
Personalized with real data
Checkout fits the customer
Spend sharpens the profile
An agent that only sees numbers can only reason about numbers. The context has to arrive before the answer, not after the payment.
1Ad reaches a personaMarketing
2AppliesEmail and phone
3Provider decidesOwn criteria
4OnboardingAccount opens
5UsageOver time
SocialScore data
The persona risk expects
Profile and fraud signals
Signals next to your data
Faster onboarding
Segments refresh
Merchant data only
Nothing about a new visitor
Application fields
Own data
Account data
Usage history
Transaction data
Nothing yet
Nothing yet
Nothing yet
After first use
Spend history
Together
Marketing finds the required profile
Contact and presence signals
A fuller picture, decision stays yours
Faster onboarding
Marketing and risk stay aligned
Marketing and risk are connected at step 1, before anyone applies. Everything else starts after the decision.
Together: the combined resultSocialScore data: external data and PixelMerchant data onlyTransaction dataNothing to act on yet
360° Customer View

See the whole customer, not just the order.

Your store knows a name, an address and a phone. SocialScore adds who that person is, from one email or phone in under 5 seconds.

PD

Pablo Dias

  • pablo.d***@gmail.com
  • +359 88* *** *41
  • Sofia 1000, Bulgaria
  • 3 orders, €214 total, cash on delivery
↑ What your store has todaySocialScore adds ↓
Summary and signalsEmail and phone signals
Real personno bot or automation signals
Social signalMedium, 63
Fraud risk0
Similar to your top 100 buyers19.4
Career and educationPublic profile
OccupationMarketing Manager
CompanyRetail group
LocationSofia, Bulgaria
EducationUniversity degree
Digital footprintEmail and phone signals
Registered by email
FacebookGooglePinterestSpotifyAmazonlocal platform
Registered by phone
WhatsAppMicrosoft
Interestsvs country average
Education and online learning+84.6%
Business services+74.8%
Customer services+59.6%
E-commerce and shopping+51.2%
Social media+43.6%
Travel and tourism+1.8%
Gambling-23.4%
On-site BehaviorSocialScore Pixel
Human, active shopperno bot or automation signals
First came fromInstagram adutm: autumn_sale
Sessions4, returninglinked after checkout
Viewed products7jackets, sneakers
Carts21 recovered by AI Promo
Risk, contact healthEmail and phone signals
Email scoreStrong, 100
Phone scoreStrong, 100
Exposure records2
Disposable emailNo
PhoneValid, A1 Bulgaria
Fraud risk0
Transaction dataArrives last

Not available for this customer: they paid cash on delivery. For card payments it arrives at the final step, usually when the customer is already leaving, not while you can still sell more through a custom layout and checkout.

{ } API response

                        

Illustrative profile built from a real API response. Personal data is masked by role in the platform.

  1. A plain-language picture of every customer, plus the signals that matter for selling: real person or bot, digital presence, contact quality and likely spend.

    Personal summaryHuman / agent / botDigital presenceSpend signalsSource & confidence
  2. Occupation, industry, company size and education where public, to set the right tone, offer and price point.

    OccupationIndustryCompany sizeEducation
  3. Where the customer lives online: platforms registered by email and phone, preferred chat channels, and depth of presence against your country.

    SocialShopping & travelMessaging appsLocal platformsCountry benchmark
  4. 30+ interest categories, each compared with the average customer in your country, so you know what to offer before they tell you.

    TravelFashionE-commerceSportsTechvs country average
  5. What the SocialScore Pixel sees: traffic class, source and campaign, viewed products and carts, joined to the person the moment they identify.

    Traffic classUTM & campaignViewed productsCartsReturning visits
  6. Valid or disposable contacts, exposure records and bot signals, so risky cash-on-delivery orders get reviewed before they ship, plus the segments the customer matches.

    Email & phone healthExposure recordsBot signalsCOD reviewSegment match
  7. The verified spend, when there is one. It arrives at the final step, often as the customer is leaving, and not at all for payments outside the card schemes, such as cash on delivery, wallets or crypto.

    Arrives lastCard payments onlyPartner data
04 · How and where the data is used

One customer, and every system around them gets the same context.

Used before the payment and after it, at profile level, wherever a model or a person has to decide what to show, say or flag.

External digital dataIdentity, footprint, channels
SocialScore PixelBehavior and device
Merchant dataOrders, addresses, CRM
Transaction dataPartner, after payment
One customer profileThe customer is always one
Merchant and owner
Logistics
Payment provider
Chat and AI agents
Support
Omnichannel and personalization
Ads on Meta and Google
CRM and email
Join key
Email or phone
Input
One identifier, or a customer list
Output
Signals with source and confidence
Access
API, dashboard, upload, MCP
05 · Strengths of each layer

What each layer does best, and what the others add to it.

Transaction and behavioral data are the best-known layers. Each is strongest at something different, and each gets stronger when it is joined to the others.

Transaction data

Best at
  • Verified spend, the ground truth
  • What, where and how often
  • Long histories at scale
Gets stronger with
  • A profile before the first payment
  • The who and why behind the spend
  • Context for payments outside the card schemes

Behavioral data

Best at
  • What visitors do on your site
  • Intent in the moment
  • From the first visit
Gets stronger with
  • A person attached to the session
  • Interests beyond your own site
  • Verified spend as the outcome

SocialScore external data

Best at
  • Real time from the first identifier
  • Very broad, with local data per country
  • The whole person, not one payment
  • Joins with every other layer
Gets stronger with
  • Verified spend as ground truth for the segments
  • On-site behavior from the Pixel
  • Your own customer data
06 · Better together

A high-spender solution your merchants will want.

Transactions confirm who spends. SocialScore knows who they are before they pay. Stacked, merchants find high spenders earlier and understand them better.

Combined
The complete customer profile
Day one to day N
Who
External digital data
Before payment
How
Behavioral data
Before payment
What with us
Merchant first-party data
After sign-up
What they spend
Transaction data
After payment
Before paymentPredict the high spender
After paymentConfirm or correct
Over timeThe profile improves
Why this matters now. AI agents act on the context they are given. A model that sees only numbers can only reason about numbers.
07 · Joint pilot

Prove it on real data, in three steps.

1Pick a merchant segmentMerchants with a high-spender question.
2Run bothTransactions only versus transactions plus SocialScore.
3MeasureHow many high spenders are found, and how early.
Trusted by teams at
PaypercutMFGAXIOzone.bgUp LeaseAmigo Leasing
GDPR-compliantPublic data only. Pass-through mode stores nothing.
AI Act alignedSignals only. Every decision stays with you.
Give your merchants high-spender detection that starts before the first payment.
Run a joint pilot that puts SocialScore signals next to your transaction data, or start with up to 200 free verifications.
Dimitar Dimitrov, Founder & CEO
LinkedIn dimitar@socialscore.io
Strahil Radovski, Co-founder & CRO
LinkedIn strahil@socialscore.io