Route Network Route Portfolio New Route Demand Market Health Customer Value Customer Journey Data Ingestion

CUSTOMER VALUE

SYNTHETIC DATA — FRAMEWORK DEMO
RFMJ model with Customer Journey dimension.
Swap in real Atmos data to activate.

PORTFOLIO SUMMARY

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customers
Avg CLV--
Avg P(alive)--
Total Revenue--
Avg PRCS--
PRCS Flagged (<4)--

RFMJ SCORES (selected segment)

R
--
F
--
M
--
J
--

16 CHARACTER TYPES (RFMJ H/L)

BEHAVIORAL ARCHETYPES

RFMJ DIMENSIONS

Recency — When did they last fly?
Frequency — How often do they fly?
Monetary — How much do they spend?
Journey — How is their relationship evolving?
Journey captures network discovery, hub adoption, fare class evolution, and route diversity growth.

CLV DISTRIBUTION

ARCHETYPE MIX

JOURNEY SCORE vs CLV

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Synthetic Data: 5,000 customers with realistic behavioral patterns. Schema matches typical airline loyalty program exports. | To activate with real data: Replace data/synthetic/customers.csv and transactions.csv with Atmos exports, rerun generate_synthetic_customers.py | Customer Journey (J): Composite of route diversity growth, hub adoption rate, fare class evolution, and network engagement trajectory.