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Analytics & GrowthComplete

Travel Product & Supply Analytics

A three-part travel marketplace case connecting content quality, experiment design, and weekly product operations.

Evidence labelPublic listings + synthetic clickstream · Proxy and simulated impact

THE DECISION

Which property-content gaps should be fixed first, how should impact be tested, and what should the operating cadence monitor?

APPROACH

  1. Designed a four-dimension Content Quality Score
  2. Ranked the backlog with RICE and business-impact proxies
  3. Built funnel SQL, power analysis, and a randomized A/B readout
  4. Automated a weekly operations report with anomaly flags

EVIDENCE & DELIVERABLES

  • 23,233 public Bangkok listings assessed
  • 11,480-listing prioritized content backlog
  • Dashboard package, experiment readout, and weekly brief

SELECTED WORK FILES

HTML

Travel Funnel Dashboard

Browser-ready conversion funnel and experiment dashboard built from synthetic clickstream data.

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EVIDENCE INTEGRITY

This case is presented as public listings + synthetic clickstream · proxy and simulated impact. The label distinguishes observed work from simulated impact, proxies, historical comparisons, or proposed architecture.

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