SocialScore's E-commerce Customer Intelligence Layer turns a single email or phone number into 300+ real-time signals — interests, digital footprint, fraud risk, and predictive segments — for online retailers, marketplaces, fashion and electronics stores. It reduces customer acquisition cost (CAC), personalizes marketing at checkout, screens fraud before it ships, and works alongside your existing CRM, GA4 and ad accounts instead of replacing them. Pricing starts at about €1 per verified profile, with volume pricing above 10,000 checks a month. A free demo and 500 free identity checks are available from SocialScore (DSNTech LTD, Sofia, Bulgaria).
The E-commerce Customer Intelligence Layer — SocialScore
You know your tech better than
you know your customers.
The Customer Intelligence Layer that hands back the knowledge Google and Meta have been monetizing for years — better marketing, lower risk, real personalization. Without the enterprise price tag.
Reference result, mid-size online retailer — 3 full case studies inside.
1 API call
300+ signals
under 5 seconds
The Problem
You pay for the click.
They keep the customer.
Every euro on Google or Meta teaches their algorithm something about your buyer. They keep that knowledge and monetize it forever. You get a session, a CAC bill, and a blank slate for the next campaign.
⚠️
The knowledge belongs to whoever collects it. Right now, for most of your traffic, that's not you — it's the platform you paid to get there.
What that costs, sector by sector
Marketplace
Thousands of new buyers a week, no way to tell a bargain-hunter from a repeat premium spender at session one.
Electronics
High AOV, high fraud exposure — one stolen card wipes out a week of margin on a single order.
Fashion & Apparel
Same homepage for a bargain hunter and a full-price loyalist — discounts get handed out that were never needed.
Luxury
Can't tell a genuine high-net-worth visitor from window-shopping — VIP treatment never reaches them in time.
Same Root Cause, Every Sector
Everyone wants AI.
Nobody has context.
This isn't only an e-commerce problem — it's the problem underneath every AI tool you've bought. Your chatbot, your recommendation engine, your pricing logic all guess, because none of them know who's actually on the other side of the screen.
🎯
Everyone chases lower CAC
Without identity signals, "optimization" means paying more to find the same answer by trial and error.
🤖
Everyone is adding AI
A chatbot with no context greets a first-time browser and a returning VIP the same way. That's the default, not a bug.
🕵️
Everyone wants personalization
But nobody knows who's behind the screen. Over 50% of internet traffic today isn't even human.
SocialScore is the layer that answers who this is — before your AI, your discount engine, or your ad budget has to guess.
The Solution — We Give the Power Back
The same signal ad platforms use on you —
now working for you.
SocialScore enriches an email or phone into the same kind of digital-footprint intelligence Google already holds — except the output belongs to you.
LAYER 1
Data & Signals Engine
Email + phone + country → 300+ signals, under 5 seconds. Your own platform data can feed it too — not just email and phone.
LAYER 2
Software & Capabilities
Works on our signals — or entirely on your own data: orders, channels, addresses, your own segments. Use us purely as software, if that's all you need.
Growth Engine
Intelligence Engine
Smart Discount Engine
🧩
Your GA4, CRM, checkout and ad accounts stay exactly where they are. SocialScore feeds the tools you already run with the context they were missing.
How It Works
From an email address to a
buying decision
STEP 1
Define the group
Top buyers, cart-abandoners, new visitors — any audience you choose.
STEP 2
Enrich & profile
300+ signals per identity, under 5 seconds. Batch mode for full lists.
STEP 3
Segment & predict
Behavioral clusters computed automatically from external signals.
STEP 4
Act in real time
Every new visitor scored against your segments before the form is done.
Inside the Platform
No devs required —
this is the actual product
Everything below is live in the SocialScore dashboard — no integration needed to see it working.
Dashboard — digital footprint, comms preference, interests & Health Scores.
Single Lookup — one email or phone → full profile, under 5 seconds.
Audience Compare — two segments, benchmarked vs. country average.
The Signals That Matter Here
One call returns
nine different kinds of answers
✅
Verification
Deliverable, disposable, or breach-exposed email? Valid, mobile, WhatsApp-reachable phone? Confirmed before you act.
🎯
Interests
15 categories, benchmarked vs. your country's average — not a global one.
❤️
Health Scores
Social, Email, Phone, Fraud, Buyer Power (in dev.) — one snapshot of how real and healthy this customer is.
📈
Predictive Matching
Scored against every segment you've defined, automatically — 80+ is a strong match.
🗺️
Digital Footprint
Where they actually live online — which platforms, how active, how established.
🪪
AI Customer Persona
A ready-made persona your team — or your AI — can act on immediately for targeting and content decisions.
🛒
Funnel & Purchase Stage
Registered only, cart started, cart abandoned, or repeat buyer — know exactly where they stand before you message them.
🤖
Human or Bot
Active human shopper, passive lurker, bad bot, or legitimate AI shopping agent — so you know whether to sell, ignore, or route.
📍
Local Market Presence
100+ local platforms per country, invisible to global tools — the strongest signal for genuine local presence and authenticity.
Your Existing Customer Base
Same 5,000 registrations.
Same €7,500 budget. Very different outcome.
A worked example, from the e-commerce merchant's side — what changes, step by step, when SocialScore sits between your CRM and your marketing spend.
Before — without SocialScore
Who you can identify todayOnly after they buy
€7,500 marketing spendFlat, same message to all 5,000
Abandoned-cart recovery~3% (generic reminder)
Buyers from this cohort795
Next month's 5,000Starts from zero again
After — with SocialScore
Who you can identify todayAll 5,000, in 5 sec each — €1/check
€7,500 marketing spendConcentrated on the 1,500 worth it
Abandoned-cart recovery~12% (right channel, right offer)
Buyers from this cohort930 (+135)
Next month's 5,000Auto-classified on arrival
Cost to know everyone
5,000 × €1 = €5,000
Cost per buyer — blind
€7,500 ÷ 45 = €167
Cost per buyer — targeted
€7,500 ÷ 180 = €42
Net this cohort
+135 buyers, same €7,500
Why: the 45 vs. 180 recovered orders are the same €7,500 budget — the only thing that changed is knowing WHO to spend it on and HOW to reach them, from the €5,000 identification pass. That's the CAC lever. Separately: each of the 930 buyers now carries a predicted long-term segment (loyalist, deal-hunter, browser), so content, channel, and next offer are personalized from their very first order — that's the LTV lever, and it compounds every month after this one.
One API Call, Five Decisions
Segment. Personalize. Predict.
Then, quietly, de-risk.
Marketing gets first call on every signal. Risk screening rides along in the same response — it doesn't lead the story.
One real profile result — this is what the call above actually returns.
→
🎯Marketing segment
Loyal High-Value Buyer — show the premium offer, skip the discount.
🧭Context for your AI / chat
Fashion 780 · Travel 700 — lead with styling picks, not price cuts.
📈Predictive score
91% likely to convert this session — worth a live-chat nudge.
📣Channel fit
Instagram Stories & WhatsApp outperform email here — retargeting shifts there automatically.
🛡️Risk prevention
Fraud Score 0, clean — no review queue needed.
SocialScore Is a Marketing Tool First
Nine ways this turns into
money you can point to
🏆
Audience Health Report
Branded PDF from a CSV upload — forwarded up the chain, not filed away.
📤
Google Ads & Meta Export
Hashed-email custom audiences, pushed straight into the ad account you use daily.
💸
Smart Discount Engine
€15K–35K/mo protected margin — full price to loyalists, offers only where needed.
🎯
Precision Targeting
Ad spend goes to Predictive-Score matches, not broad match — less wasted impressions.
🧠
Interest & Needs Mapping
Know what this visitor actually cares about before you write a single word to them.
✍️
Content & Creative Direction
Creative and copy shift by segment — styling picks for one visitor, price for another.
🛒
Checkout Personalization
Right payment method, right shipping option, right upsell — per profile, not per guess.
👋
Onboarding Personalization
The welcome flow is tailored to the persona from message one, not generic day-1 email.
⏱️
Channel & Timing Optimization
Right channel, right moment — based on the digital footprint we already have on file.
Case Study 1 — General Online Retailer
€500K/month revenue,
mixed-category store
~3,500 new customers enriched per month at checkout. Segment-based targeting replaces blanket discounting; Fraud Score screens every order before it ships.
Before SocialScore
CAC€32
Fraud & dispute losses3.0% of revenue
PersonalizationNone at checkout
After SocialScore
CAC€25 (−22%)
Fraud & dispute losses1.3% of revenue (−57%)
PersonalizationLive, segment-based
Acquisition savings
€24,500/mo
SocialScore cost
€3,500/mo
Why: the CAC drop comes from shifting ad budget away from broad match toward the ~27% of visitors who score 80+ on Predictive Matching — the rest of the budget stops being spent on people who were never going to convert. Fraud drops because every order with a Fraud Score above 40 is screened before shipment, not after the chargeback. Cost basis: ~3,500 checks/month × €1 per verified profile — one email or phone is all it takes to build the full signal set. Fraud benchmark: Europe averages ~3.0% of e-commerce revenue lost to payment fraud (Statista/LexisNexis, 2026).
Case Study 2 — Fashion & Apparel
€300K/month revenue,
DTC apparel brand
~2,500 new customers enriched per month. The Smart Discount Engine replaces the site-wide promo code with a Fashion-score-based segment: full price for loyalists, the code only for genuine deal-hunters.
Before SocialScore
CAC€38
Promo targetingBlanket 20% code to full list
Full-price buyers discounted unnecessarily~55% of redemptions
After SocialScore
CAC€29 (−24%)
Promo targetingDeal-hunter segment only
LoyalistsFull price, no code shown
Acquisition savings
€22,500/mo
Protected margin
€6,000/mo
SocialScore cost
€2,500/mo
Why: the promo code used to go to the entire list; the Fashion + E-commerce interest scores now separate the ~55% who would have bought at full price from the genuine deal-hunters, so the code only reaches people who actually needed it to convert. CAC drops the same way as Case 1 — spend follows the Predictive Score. Cost basis: ~2,500 checks/month × €1. Fashion CAC benchmark scaled from 2026 apparel-vertical DTC data (Mobiloud/Ringly) for the SEE ad-cost environment.
Case Study 3 — Marketplace
€1.2M/month GMV,
multi-vendor marketplace
~15,000 new buyers enriched per month — volume pricing applies above 10,000 checks/month. Two-sided fraud (buyer + seller) is the sharpest pain point marketplaces report.
Before SocialScore
CAC€16
Fraud & dispute losses4.0% of GMV
New-buyer segmentationNone
After SocialScore
CAC€12 (−25%)
Fraud & dispute losses1.8% of GMV (−55%)
New-buyer segmentationLive at session one
Acquisition savings
€60,000/mo
SocialScore cost
~€11,000/mo
Why: at marketplace volume, the segmentation happens at session one instead of after the first order — new buyers are matched to "will convert" or "needs nurturing" before the first click, so budget isn't spent finding out the slow way. Fraud drops because both buyer and seller identities get the same real-time screening. Cost basis: ~15,000 checks/month — volume pricing applies above the 10,000/month threshold (contact us for tiered rates).
Why Not Build It Yourself
The Customer Intelligence Layer
vs. what you have today
| Comparison |
SocialScore |
GA4 / Meta (what you see today) |
In-House Build |
Traditional CDP |
| Cost to start | €0 | Already in ad spend | €500K+ | €300K+ |
| Unified profile per customer | Yes, 300+ signals | No — aggregated, per-platform | Internal only | Internal only |
| Can you export the profile out? | Yes, anywhere | No — walled garden | Yes, if you build it | Yes |
| Time to first result | 1 day | Immediate, limited | 6+ months | 4+ months |
| Prediction basis | Real-time data | Aggregated history | History only | History only |
GA4 and Meta show you behavior inside their own walls — SocialScore builds a portable profile and lets you push it into Google Ads and Meta yourself, whenever you want.
Marketing today, in one sentence: everything is automated except knowing who the customer is
GA4 samples and aggregates — no individual profileThird-party cookies are blocked by defaultApp Tracking Transparency: most users say noSocial platforms are closed gardens — no exportEvery other AI tool is a black box on identityCRM only knows what the customer typed in a formAd platforms keep the profile, you keep the invoice
We've automated bidding, fulfillment, even the creative. The customer is still a persona on a slide, and the question nobody's actually answered is who is the customer?
It Plugs In — Nothing Gets Replaced
Built to
improve what you run, not to replace it
SocialScore was designed as an enrichment layer from day one — your checkout, CRM, and ad stack keep working exactly as they do today.
🔬
Your own Data Science team, on call
Every account includes access to our data science team — for signal interpretation, custom scoring logic, and model integration.
⚙️
Customized to your exact stack
Proprietary or headless checkout? We build a custom module to your specification — same enrichment, embedded into your flow.
🤖
AI Tools
Chatbots, recommendation engines, pricing logic — connected via MCP, so your AI gets the same context a human agent would.
🗄️
CRM / CDP / E-commerce
Beyond the five above — any platform with a webhook or an import can pull SocialScore signals through the API.
Built to Be Trusted With This
Handling identity data means
compliance isn't optional
🏅
European Innovation Council
Recognized as a new open-source-intelligence approach to customer data.
🔒
GDPR — Standard Tier
Public digital-footprint data only, never Art. 9 special-category data — standard tier, not enhanced.
🛡️
ISO/IEC 27001:2022-Aligned
Security practices aligned to the current information-security standard.
📄
DPA Available
A Data Processing Agreement is put in place before any production use.
🕶️
Pass-Through by Default
No PII retained on our servers unless you explicitly choose Storage Mode.
⚖️
Not a Credit Score
Informational signals only — not an automated decision under GDPR Art. 22.
🇪🇺
EU-Based Entity
DSNTech LTD, incorporated and operating in Sofia, Bulgaria.
🚫
Never Resold
Your enriched data is yours — never sold on to advertisers or third parties.
📜
EU AI Act — Minimal Risk
High-risk (Annex III) applies to the system that decides. We only supply signals — your system decides — so we sit in the minimal-risk tier.
Get Started Today
See
your own customers
through SocialScore — free.
Bring your own list. We'll enrich it live, in front of you, and show you exactly what your audience looks like today.
🎁
500 free checks
To test SocialScore on your own data, no cost, no commitment.
What happens next
2
Upload your own customer list
3
Walk out with your own Audience Health Report — same day
office@socialscore.io · dimitar@socialscore.io · DSNTech LTD, Mladost 2, Sofia, Bulgaria
