REDPOINT IDENTITY STUDIO
Explainable Identity Resolution for Snowflake
Control merge logic, see every match decision, and maintain persistent identity keys – all within your Snowflake environment.
Data clouds centralize customer data, but they still leave data teams responsible for determining which records belong together, how identities persist over time and whether downstream systems can rely on those decisions. Redpoint Identity Studio gives teams direct control over identity matching, experimentation and governance without moving sensitive customer data outside their existing infrastructure.
Measured results from Redpoint clients:
33M trusted identities
from 36M raw records
3x ad conversion lift
from resolved profiles
First matched results
within installation session
Full Control Over Every Merge Decision
Configure exact-match and probabilistic rules directly through the UI without custom code or reliance on a third-party graph that introduces data you don’t control. Review why records merged, correct exceptions, test changes against production-scale datasets and override specific matches.
Trusted Identities, Built Entirely in Your Snowflake Environment
Matching runs natively inside your Snowflake environment under your existing governance, security and access controls. Your PII and identity outputs always remain under your control.
One Persistent Identity
Layer Across Every Workload
Create a single, persistent identity layer to feed AI processes, analytics, customer engagement, real-time decisioning and more. Every team works from the same customer identity foundation.
What You Get with Redpoint Identity Studio
Configurable Matching
Configure deterministic rules for exact identifiers and probabilistic rules for partial or fuzzy signals. Tune precision from individual resolution to household and relationship linking, directly through the UI, without writing code.
Transparent Match Review
Inspect exactly why records merged. Override and refine with total visibility.
Built-In Experimentation
Test identity logic changes against your full dataset before promoting updates to production. Compare and refine match strategies without disrupting downstream systems.
Persistent Identity Keys
Maintain stable individual and household identities across runs so AI models, reporting and operational joins remain consistent as new data arrives.
One identity foundation. Everywhere it matters.
Resolving identity changes what’s possible across the business, from the data foundations your teams build on, to the experiences you deliver, to the analytics tracking your results.
Data Management & Foundation
- Data Migration & System Consolidation
- Duplicate Account Detection
- Team-Specific Match Requirement Variations
- AI/ML Data Preparation
Activation & Experience
- Real-Time Personalization
- Audience Segmentation & Activation
- Account-Specific Communications
- Loyalty Programs
- Customer Lifetime Value (CLV) Modeling
Governance & Analytics
- Attribution & Journey Analytics
- Know Your Customer
- Suppression & Opt-Out Accuracy
