OMmobi Case Studies: Real Growth StoriesOMmobi has emerged as a mobile-first marketing platform designed to help app developers, marketers, and product teams increase user acquisition, engagement, and revenue. Below are detailed case studies that show how different companies used OMmobi’s tools — including deep links, app retargeting, personalized onboarding, and campaign analytics — to achieve measurable growth. Each case highlights the company’s challenge, the OMmobi solution, implementation steps, results, and key takeaways you can apply to your own mobile growth strategy.
Case Study 1 — E-commerce App: Increasing Mobile Conversions with Deep Links
Challenge
- The e-commerce app faced high mobile drop-off between marketing touchpoints (email, social ads) and in-app product pages. Many users landed on the home screen instead of the intended product, which increased friction and lowered conversion rates.
OMmobi solution
- Implemented OMmobi deep links that routed users directly to specific product pages, preserved context from the campaign, and handled deferred deep linking for new installs.
Implementation
- Tagged all marketing links with OMmobi deep link parameters identifying campaign, product ID, and UTM data.
- Configured deep link routing in the app to open product detail screens or fallback to a personalized landing page when content was unavailable.
- A/B tested links with and without additional onboarding prompts for first-time users.
Results
- 27% increase in conversion rate from campaign clicks to completed purchases.
- 18% reduction in drop-off at the product detail stage.
- Improved attribution accuracy, enabling better ROI calculations for individual campaigns.
Key takeaway
- Deep links that preserve campaign context and route users straight to the right in-app content drastically reduce friction and boost conversions.
Case Study 2 — FinTech App: Re-Engaging Dormant Users via App Retargeting
Challenge
- A FinTech app saw a growing segment of dormant users who had installed the app but stopped interacting after initial onboarding. Email and push notifications had limited success.
OMmobi solution
- Launched a targeted app retargeting campaign, using OMmobi to deliver personalized ad creatives that encouraged return visits with tailored offers (e.g., waived trading fees, personalized portfolio insights).
Implementation
- Segmented users by inactivity duration and past behavior (transaction history, feature usage).
- Created personalized creatives targeting each segment, promoting relevant offers.
- Used OMmobi’s attribution and conversion tracking to measure return-to-app and conversion events.
Results
- 40% lift in re-engagement among targeted dormant users.
- 22% increase in monthly transactions attributed to the retargeting campaign.
- Cost-per-return improved by 35% compared to prior generic campaigns.
Key takeaway
- Personalization plus precise retargeting significantly outperforms broad, generic re-engagement tactics.
Case Study 3 — Gaming App: Boosting LTV with Onboarding Personalization
Challenge
- A casual gaming app struggled with low retention after day 1 and low long-term monetization per user.
OMmobi solution
- Used OMmobi’s onboarding flows and in-app personalization to tailor the first session experience based on acquisition source and user preferences inferred from initial choices.
Implementation
- Mapped acquisition sources to likely player personas (e.g., competitive vs casual).
- Showed tailored onboarding tutorials, starter bundles, and progression routes to match personas.
- Monitored retention cohorts and adjusted onboarding variants to optimize outcomes.
Results
- Day-1 retention increased by 15%, and D30 retention improved by 8%.
- Average revenue per user (ARPU) for new cohorts rose by 12% due to better starter pack matching.
- Improved player satisfaction and reduced churn in early stages.
Key takeaway
- Matching early experience to user intent improves retention and monetization; onboarding is a leverage point.
Case Study 4 — Travel Booking App: Reducing Abandoned Bookings with Smart Fallbacks
Challenge
- Travel app campaigns drove high traffic from social ads, but many users abandoned booking flows when deep links failed (e.g., content unavailable, app not installed).
OMmobi solution
- Implemented OMmobi smart fallback logic: if the app was not installed or the destination content was missing, users were directed to a progressive web landing page with the same booking details and a CTA to install the app.
Implementation
- Built universal links with parameters containing booking details.
- Created responsive web fallback pages that preserved booking context (dates, destination, selected hotel).
- Measured drop-off across different user journeys and optimized the fallback CTA placement.
Results
- 30% reduction in booking abandonment for users entering via ads.
- Web fallback converted to app installs for 12% of users who later completed bookings.
- Overall campaign ROI improved due to higher conversion consistency.
Key takeaway
- Reliable fallbacks that preserve user context keep users moving through conversion funnels even when the app path fails.
Case Study 5 — Marketplace App: Improving Attribution and Channel Optimization
Challenge
- A two-sided marketplace struggled to attribute conversions accurately across many channels (paid, organic, affiliates), leading to inefficient channel spend.
OMmobi solution
- Adopted OMmobi’s unified attribution model to consolidate cross-channel tracking, tie offline-to-online events via deep link tags, and attribute LTV to acquisition channels.
Implementation
- Standardized campaign tagging across channels and integrated OMmobi SDK for in-app event tracking.
- Mapped lifetime events (first transaction, repeat purchase, referral) to attribution windows and adjusted weightings.
- Used OMmobi reporting to identify high-LTV channels and reallocated budget accordingly.
Results
- Clear attribution led to a 24% reallocation of budget from underperforming channels to high-LTV sources.
- Customer acquisition cost (CAC) decreased by 18% while preserving acquisition volume.
- Lifetime value modeling improved, allowing the product team to refine offers for high-value cohorts.
Key takeaway
- Accurate cross-channel attribution is essential for efficient budget allocation and long-term growth.
Common Implementation Patterns & Best Practices
- Tag everything: consistent campaign parameterization ensures accurate attribution.
- Preserve context: always pass product/booking/user context through deep links or fallbacks.
- Personalize early: first-session tailoring improves retention and monetization.
- Test and iterate: A/B test deep link behaviors, creative variants, and fallbacks.
- Measure LTV, not just installs: optimize toward long-term value and retention.
Metrics to Track
- Conversion rate (click → purchase/booking)
- Retention (D1, D7, D30)
- Re-engagement lift and cost-per-return
- Customer acquisition cost (CAC) and lifetime value (LTV)
- Attribution accuracy (matched events / total clicks)
Final thoughts
OMmobi’s suite of deep linking, retargeting, and attribution tools can unlock measurable gains when implemented with consistent tagging, context preservation, and a strategy focused on long-term value. These case studies show practical pathways — from reducing friction in e-commerce funnels to re-engaging dormant fintech users — where OMmobi drove measurable growth.
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