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🔍 02 — Competitive Intelligence

Section Purpose: Deep research and analysis of competitor platforms — primarily Wego and Skyscanner — covering their product design, business models, technology stacks, and strategies that can inform our platform build.

[!NOTE] Versioning: v2.0 is the current baseline in this section. v1.0 files that were superseded remain accessible as legacy references and are marked deprecated in-file.

[!IMPORTANT] Usage boundary: This section documents competitor behavior. It is input for comparative learning, not the governing definition of our product model. Where interpretation conflicts exist, PRD v3.0 and Product Model v3.0 take precedence.

Documents in This Section

# Document Description Read Time
1 wego-skyscanner-mechanics.md v2 competitor mechanics with explicit v3 interpretation boundaries ~10 min
2 wego-intelligence-report.md v2 Wego evidence report with direct-booking governance context notes ~15 min
3 wego-metasearch-blueprint.md v2 condensed blueprint reinterpreted for Product Model v3.0 and PRD v3.0 ~3 min
4 wego-build-blueprint.md v2 “what to build” plan adapted from competitive patterns to direct-booking model ~15 min

Suggested Reading Order

flowchart TD
    A["1. Wego Intelligence Report\n(Raw Evidence)"] --> B["2. Wego/Skyscanner Mechanics\n(Industry Patterns)"]
    B --> C["3. MetaSearch Blueprint\n(Quick Reference)"]
    C --> D["4. Build Blueprint\n(Actionable Plan)"]
  1. Start with wego-intelligence-report.md — the deepest raw evidence on Wego with v3 interpretation rules
  2. Compare patterns in wego-skyscanner-mechanics.md — what’s common across both platforms
  3. Quick summary via wego-metasearch-blueprint.md — v2 condensed reference
  4. Action plan in wego-build-blueprint.md — converts intelligence into strategy

Legacy (Still Accessible)

Key Insights Summary

Wego Profile

[!NOTE]

  • ~4.7M monthly web visits, 40% from Saudi Arabia
  • #1 travel app in MENA — 196K GCC downloads (May 2025), 2.6M MAU
  • Hybrid model: meta-search + “Book on Wego” on-platform checkout
  • 170+ partners across the GCC, covers Emirates/Etihad/Qatar/IndiGo
  • Tech: Postgres, Debezium CDC, Redpanda, Kong, AWS, Java/Go microservices

Skyscanner Profile

[!NOTE]

  • Searches 1,200+ travel providers
  • Uses create/poll progressive loading pattern
  • Impact for affiliate tracking and commission settlement
  • Quality Rating Score from user surveys (91-day rolling window)
  • Sells Travel Insight data products from search + redirect logs

Common Competitor Patterns (Adapt, Do Not Copy Blindly)

[!IMPORTANT]

  1. Async search sessions with progressive result loading
  2. Strict deeplink discipline for monetization
  3. Closed-loop click tracking (click ID → conversion → reconciliation)
  4. Price accuracy management as a core product quality metric
  5. Programmatic SEO with route-specific landing pages

Quick Flashcards

What is Wego's primary regional moat?

Traffic concentration in Saudi Arabia (40%) and strong GCC adoption.

What is Skyscanner's Two-Deadline model?

A progressive loading pattern using create/poll to return an initial fast subset and then continuously update results.

What is "Book on Wego"?

An on-site/in-app checkout feature that acts as a hybrid OTA layer within the Wego metasearch platform.

← Back to Index

  • Document ID: FLYMAX-02-Blueprint-README
  • Canonical Version: 1.0.0
  • Lifecycle: Active
  • Scope: Valid
  • Source of Truth: docs/
  • Related Change Ticket:
  • Last Reviewed On: 2026-03-09
  • Next Review Due: 2026-03-09

Approval Sign-off

Role Name Date Status
Product Owner Pending
Technical Lead / Solution Architect George Joseph Pending
Engineering Lead Pending
Commercial / Operations Pending

Document Lineage

  • Supersedes:
  • Superseded By:

Change Log

  • 1.0.0 (2026-03-09) - Header/footer standardized to FlyMax documentation playbook.
Last modified: Apr 2, 2026 by George Joseph (20b472c)