Real case studies from our work with fintech and startup teams. What we tested, what worked, and how to implement it.
Getting users activated. KYC flows, signup design, micro-copy tweaks, and the checklist we use for every fintech client.
Real KYC funnel audit from a fintech client. The 14 touch points, top drop-off stages, and what signals to look for in your onboarding flow.
How to set up event tracking in MoEngage. Which events matter for onboarding funnels, building conversion funnels, and identifying drop-off points.
20 items across UX, compliance, analytics, and messaging. The actual checklist we use in every fintech engagement to audit and improve onboarding.
Too many fields. No progress indicator. Email too early. We've seen these mistakes in dozens of fintech apps. Here's what to do instead.
Specific copy changes we made on PAN input screens reduced error rates by 32%. Small words, big impact on fintech conversions.
SMS + push + email sequences triggered when users drop at KYC. Timing, messaging, results. We recovered 18% of drop-offs at zero cost.
Step-by-step: redesigning a KYC flow for a trading app. RBI constraints we navigated, UX improvements, and how we stayed compliant while improving conversion.
We reduced the first deposit journey from 7 steps to 3. What we cut, what we kept, and the impact on deposit rates and user confidence.
We tested combining vs splitting login/signup screens for a fintech client. Why separate screens won, the design changes, and the activation lift.
5 specific UI changes: progress bar, button labels, field order, error messages, exit intent. Results per change. Which gave the biggest lift?
Keeping users active. Behavioural segments, event-based messaging, push vs in-app, SIP journeys, and education-driven flows.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Teaching users about MF products drove adoption and transaction frequency.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment-specific messages outperform broadcast campaigns. Results from a fintech app.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Preventing churn. Reactivation journeys, winback campaigns, churn-risk segmentation, and automation to keep dormant users engaged.
MoEngage workflows for inactive users. Triggers, sequences, results.
Different drop-off timelines need different reactivation strategies.
Weekly market insights, trading tips, analysis. Content builds habit.
Market events, earnings, portfolio milestones. Strategic push timing.
Cashback vs value messaging. What resonates with dormant users.
Weekly portfolio reports keep users checking their account and engaged.
Timing, messaging, and channel mix. The difference between helpful and pushy.
Specific sequence for F&O traders. Market opportunity angles, no hard selling.
Options open, market volatility, earnings season. Triggers for F&O specifically.
Personalize the reactivation ask based on what users did before.
Product design and UX. FTUE audits, navigation hierarchy, splash screens, simplifying complex flows, and copywriting for conversions.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
First-time user experience in 60 seconds. How to audit your own FTUE.
Bottom nav vs hamburger. Where users look, where features get found.
What's in the main menu vs submenu. Order and placement drive adoption.
Progressive disclosure: simple for beginners, advanced for professionals.
When splash screens help and when they hurt. Results from trading apps.
How to structure A/B tests into sprints. Winning and losing changes.
Clearer UI, better labels, in-app help. How UX prevents support burden.
Acquiring and expanding users. Campaigns, experiments, urgency tactics, feature launches, and using market events as growth triggers.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Segment by trading frequency and product usage, not demographics. How to target each segment with personalized nudges.
Playbooks are real case studies from our work with Indian fintech and startup teams. We run experiments, track results, and share exactly what we found—the strategy, the execution, the numbers, and the lessons.
Each playbook is 700–1000 words, opinionated, and practical. No theory. No fluff. Just what actually worked.
Industries: Trading apps, neobanks, lending apps, mutual fund platforms, investment tools.