TECHNOLOGIE

Data Engine

The Intelligence Behind Every Insight. Multi-platform behavioral data, validated and unified — so every decision is built on real signals, not assumptions. Without a strong data foundation, every insight is guesswork.

Multi-platform · Validated data · Real behavioral signals

Fale conosco See how it works

Multi-Source Data Collection

We don't rely on a single data source. Neither should you.

Rascasse pulls data from search behavior, social platforms, public data sources, panel data, and proprietary sources. Each data point is cross-validated across multiple sources before entering the system — so you never build strategy on single-source noise.

Data Architecture

Every insight is multi-source
by default.

Search behavior tells one story. Social signals tell another. Panel data adds depth. Proprietary sources fill the gaps. The Data Engine combines them all — and validates every signal before it becomes an insight.

Insight
Audience insights are built from multiple independent data sources.
Driver
Search data, platform data, and proprietary datasets are cross-validated.
Implication
Decisions are based on real, digital behavior — not biased or incomplete data.
rascasse.com/technology/data-engine
Data Engine — Source Architecture
Data Sources
Google Search
Instagram
TikTok
YouTube
Spotify
X / Twitter
Public Data
Panel Data
→
Validation Layer
Cross-Reference
Multi-source verification
Confidence Score
Signal strength rating
Weight & Flag
Single-source signals flagged
→
Rascasse Intelligence
Validated Profiles
320K+ data points each
Audience Segments
Cross-platform verified
Market Intelligence
Confidence-scored insights

Cross-Validation

Every data point earns its place.

Not just aggregation — active validation. If a signal appears in search data but not in social data, it gets flagged and weighted differently. Every insight has a confidence level.

Validation pipeline

From raw signal
to validated insight.

Each signal passes through cross-referencing against independent sources, receives a confidence score based on corroboration strength, and only enters the system as a validated insight. Single-source signals are flagged, not discarded — but weighted accordingly.

Insight
Each data point is validated and assigned a confidence level.
Driver
Signals are cross-checked across multiple sources and weighted.
Implication
You can trust every insight — with transparent data quality.
rascasse.com/technology/validation-pipeline
Data Validation Pipeline
Live All Sources
Signal Sources Confidence Status
"Sustainability" — BMW Audience Search + Social + Panel 94% Validated
"Crypto Trading" — BMW Audience Social only 41% Flagged
"Premium Travel" — Mercedes Audience Search + Social + Public 97% Validated
"Vinyl Collecting" — Tesla Audience Panel only 28% Low Confidence
"Tech Innovation" — Tesla Audience Search + Social + Panel + Public 99% Validated

Any Object, Any Audience

Analyze anything. Not just what's in the catalog.

Rascasse can analyze ANY type of data point: brands, people, sports teams, products, destinations, media properties, concepts, custom segments. Not limited to a fixed taxonomy — the system adapts to what customers need to analyze.

Insight
Any brand, person, or property can be added and analyzed — beyond predefined datasets.
Driver
Custom onboarding allows integration of brands, products, and concepts.
Implication
You can analyze exactly what matters to your business — not just what exists.

320,000+ Data Points Ready

Brands, people, teams, products, destinations, media properties — all profiled with up to 320,000+ data points each. Search, filter, compare. Instantly.

Custom Data Point Onboarding

You have a list of 500 niche brands? We'll add them to the system. Your custom data points are ingested, profiled, and ready for analysis in days, not months.

clients.rascasse.com/entity-onboarding
Custom Data Point Onboarding — Acme Corp
Client Upload 127 Data Points
Name Type Data Points Status
N Niche Brand Alpha Brand 104,291 Ready
M Micro-Influencer Beta Person 98,445 Ready
R Regional Chain Gamma Brand 67,812 Profiling
L Local Festival Delta Event — Ingested
C Custom Segment: Urban Runners Segment 112,008 Ready
System Overview
How the Data Engine Works
Multi-Source Data
→
Validation
→
Weighting
→
Intelligence Output
  • 8+ independent data sources feed every audience profile
  • Signals are cross-referenced and confidence-scored before entering the system
  • Single-source signals are flagged and weighted — never silently trusted
Every insight is built on verified, multi-layered behavioral data.

Scale

Built for global intelligence at scale.

Designed to deliver consistent, comparable insights across markets.

320K+
Data points in the system
320K+
Data points per profile
172
Countries covered
Days
Custom data point onboarding