Case Studies
Trainman: India’s leading train ticket booking platform

Trainman: India’s leading train ticket booking platform

Table of Contents

Brand

Trainman

About

India's leading train ticket booking platform, offering schedules, PNR tracking, and seat availability. Acquired by the Adani Group.

Industry

Traveltech

Summarize this documentation using AI

"Propel’s collaboration led to a 505% increase in app conversions. Their organized approach and weekly meetings kept both teams aligned on common goals."
Amrit Arya
Marketing Director, Trainman

Key Insight

Trainman, India’s leading train ticket booking platform, faced stagnation despite a large user base. Bookings were declining, retention was low, and payment drop-offs were eating into revenue. Propel identified that fragmented user journeys and poor post-booking engagement were the main friction points. The mission: build a data-driven lifecycle strategy that increased both retention and booking success.

Challenge

Trainman’s growth had plateaued. The platform was seeing:

  • A 14% drop in bookings in early 2023.
  • High uninstall rates (80%) due to poor retention.
  • Frequent payment failures and incomplete transactions.

Despite strong brand trust, the conversion-to-retention journey was broken, and users weren’t staying long enough to generate repeat bookings.

Approach

Propel implemented a holistic lifecycle framework powered by data and automation.

  • Mapping user drop-offs: Using WebEngage analytics to trace where users left the journey.
  • Rebuilding onboarding: Simplified the app experience to drive first-time conversions.
  • Personalized outreach: Campaigns tailored by behavior, travel frequency, and booking stage.
  • Retention-first mindset: Shifted focus from one-time bookings to long-term app loyalty.

The strategy was iterative — tested weekly, refined continuously, and scaled for compounding impact.

Solution

Propel rebuilt Trainman’s funnel end-to-end:

  1. Acquisition: Optimized landing pages and ran intent-based campaigns that spoke to travel habits and booking behavior.
  2. Activation: Introduced personalized onboarding and reminders to encourage repeat bookings.
  3. Engagement: Added contextual nudges like payment confirmations, upcoming journey reminders, and smart offers.
  4. Retention: Automated win-back journeys for uninstalled and inactive users, reactivating them with purpose-driven messaging.

The focus was not just on traffic — it was on transforming traffic into transactions and transactions into retention.

Result

By rebuilding the landing page experience, optimizing payment flows, and re-engaging lapsed users, Trainman addressed three points of friction at once.

40%

Increase in booking efficiency

25%

Drop in churn

21%

Growth in revenue

Conclusion

Even while overall booking volume stayed under pressure, these gains in efficiency, retention, and revenue laid the groundwork for sustained recovery.

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