TIER S BLUEPRINT

Segmentation with Bias Auditing

Segment your customers and prove the segments aren't discriminatory - targeting lift for marketing, a bias certificate for your DPO.

from €1,690

CUSTOMER BASE - CLUSTER + BIAS AUDIT · LIVE

212,000 customers → 4 segments

A · loyal high-value B · new explorers C · price-sensitive D · churn risk

Bias audit - protected attributes & proxies

gender balance ······· 4/5th 0.97 ✓

language LT/RU/EN ···· 4/5th 0.91 ✓

⚠ seg C ∝ age 60+ via proxy [app usage] · 0.72 FAIL

mitigation ▸ proxy feature removed → re-cluster

re-audit ····· all segments ≥ 0.85 ✓

✓ BIAS CERTIFICATE ISSUED - attached to every segment export ⛓

4 segments · 31 features scanned · 1 proxy removed · certificate v2 logged

How it works

Connect your customer data

Warehouse read-only. Features catalogued; protected attributes and likely proxies flagged before any model runs.

Segment for humans

Interpretable clusters with plain-language profiles, sized and named for marketers - not centroids only a data scientist can read.

Audit every segment

4/5ths-rule disparate-impact tests on gender, age and language, plus proxy detection. Failing features are removed and the model re-clustered.

Ship with a certificate

Every export carries its bias certificate and methodology note. Segments re-audit automatically on every refresh.

The Four Guarantees™ - this build

Measured value

~20% campaign conversion lift vs unsegmented sends at reference volume; eval gate: silhouette + stability + full bias pass before ship.

Defensible

4/5ths-rule tests + proxy detection documented per segment; GDPR profiling analysis (Art. 22) and legitimate-interest note included.

Self-correcting

Segments re-audited on every data refresh; new features auto-scanned for proxy correlation; drift alerts when segment sizes shift.

Yours & everywhere

Runs inside your warehouse, full source. MCP endpoint - your CRM and campaign tools consume segments directly.

The number, sized honestly

Reference buyer: Lithuanian bank, insurer or telecom marketing team - 50k-500k customers, regular campaign sends, a DPO who has to sign off on profiling.

~20% campaign conversion lift - the agreed number (conservative)

4/5ths disparate-impact rule tested and documented on every segment

100% of features scanned for proxy discrimination

~2 mo payback at the PoC tier

Three ways to own it

Tier	What you get	Price
Scaffolding ★	The full repo - clustering pipeline, bias-audit harness (4/5ths + proxy scan), certificate generator, MCP server. Reference run on public data.	€1,690
PoC ★★RECOMMENDED	Clustered and audited on your real customer data - segment quality and the full 4/5ths + proxy audit run end-to-end. Code + certificate + quality report yours. No guarantee at PoC.	from €5,000
Implementation ★★★	Production: warehouse-native refresh with automatic re-audit, campaign-tool integration, drift alerts, quarterly regulator-ready methodology report - the agreed number (conservative) attaches here.	from €15,000

★ = engagement depth. PoC is the recommended path: quality proven on your data before production money. The PoC carries no performance guarantee by design; the agreed number (conservative) attaches at Implementation, informed by the PoC report.

What we don't promise

A bias audit is evidence, not absolution. We test what's measurable - disparate impact on the attributes and proxies observable in your data - and every certificate documents the method and its limits. If your data can't support a fairness claim, the certificate says so. That honesty is exactly what makes it defensible in front of a DPO or regulator.

Ready to see your own number?

Request the build: within 48h you get a personal reply with the value sized to your volume.

No commitment · reply within 48h · your data stays in the EU