
Summarize this documentation using AI

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:
- Acquisition: Optimized landing pages and ran intent-based campaigns that spoke to travel habits and booking behavior.
- Activation: Introduced personalized onboarding and reminders to encourage repeat bookings.
- Engagement: Added contextual nudges like payment confirmations, upcoming journey reminders, and smart offers.
- 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%
25%
21%
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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Here’s what we’ll dig into:
Where your lifecycle flows are underperforming and the revenue you’re missing
How AI-driven personalization can move the needle on retention and LTV
Quick wins your team can action this quarter
Whether Propel is the right fit for your brand, stage, and stack