UGO Mobile App
2,000 to 12,400 monthly downloads in 90 days. CPI down 68%. ROAS up 750%.
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SUMMARY
UGO
is a cab-hailing app operating in Angola. Monthly downloads were flat at around 2,000. User activation was low. ROAS was 1.2x and cost per install was USD 1.30, making the acquisition model unscalable. There was no structured acquisition funnel, no re-engagement system for installed-but-inactive users, and no localised creative strategy. Within 90 days of Morph’s intervention, monthly downloads reached 12,400, activation improved 63%, CPI fell to USD 0.42, and ROAS reached 10.2x.
The Plateau
UGO was spending on user acquisition without the infrastructure to convert that spend into active riders. Downloads arrived but did not activate. ROAS at 1.2x made the acquisition model commercially unsustainable at any meaningful scale. The brand needed a funnel, not more budget.
Structural Diagnosis
Mobile app growth has a specific economics problem that differs from standard e-commerce: the conversion event is not a purchase, it is an activation. A user who installs and never completes a first ride has a near-zero LTV. The economics of app acquisition are therefore determined by the install-to-activation rate, not by the install volume alone. UGO’s acquisition spend was being measured at the install level without accounting for what happened next.
–No funnel architecture differentiating awareness, install-intent, and activation stages
–Ad creative was not localised to Angolan urban context, reducing relevance and engagement
–No retargeting system for the installed-but-inactive user segment, which represented the highest-LTV opportunity
–CPI at USD 1.30 was above sustainable threshold for a market with UGO’s revenue per rider
–ROAS at 1.2x indicated near-zero return on acquisition spend
–No lookalike audience modelling from existing high-frequency rider cohort
What Changed
Funnel Architecture
Top-of-funnel: awareness campaigns with locally contextualised creative across Angola’s key urban zones
Mid-funnel: app install campaigns targeting custom audiences built around high-LTV user profiles
Bottom-of-funnel: retargeting campaigns for installed-but-inactive users with incentivised first-ride messaging
Creative Strategy
Localised design and copy for Luanda and surrounding markets: language, imagery, and context
Benefit-led messaging around affordability, driver trust, and personal safety (the three primary objections in the market)
Static vs video format testing to identify highest-engagement format by funnel stage
Audience Architecture
Custom segments built across three user states: inactive installers, repeat riders, and ride abandoners
Lookalike modelling from highest-frequency active rider cohort
CRM integration ensuring consistent audience signals across Google and Meta platforms
Optimisation
Weekly A/B creative testing cycle for continuous performance improvement
Geo-fencing and time-specific ad rotation aligned to peak ride-demand hours in Luanda
Bid and budget optimisation driven by ROAS and activation rate data, not install volume
Results at a Glance
Metric
Result
Monthly downloads (baseline to 90-day peak)
2,000 → 12,400 (+520%)
User activation rate improvement
+63%
ROAS (1.2x to 10.2x)
+750%
Cost per install (USD 1.30 to USD 0.42)
-68%
INTERNAL — Metrics Source Log (not for web display)
Metric
Source
Date Range
Calculation Note
Downloads +520%
Google Ads UAC / Firebase
90-day campaign period
Monthly installs at baseline vs peak 90-day period
Activation +63%
Firebase event tracking
Post-activation campaign
Users completing first ride / total installs in period
ROAS +750%
Ad platforms + revenue model
90-day campaign period
Attributed revenue or LTV proxy / total spend
CPI -68%
Google Ads / Meta
Pre vs post optimisation
Total spend / installs before and after restructure
Strategic Takeaway
The most important insight from UGO was that 90% of active user growth came from re-engagement of installed-but-inactive users, not from new install acquisition. The highest-LTV users were already in the database. They had downloaded the app and never completed a first ride. Building a targeted activation campaign for that cohort cost a fraction of what new install acquisition costs and produced proportionally higher revenue impact. In mobile app growth, the activation funnel is almost always more valuable than the top-of-funnel acquisition campaign.
How does this apply outside the transport sector?
The funnel architecture and activation focus apply to any mobile app with an installation-to-activation gap.
This pattern is common across fintech, retail, health, and utility apps. Any app where the value event is not the install but a subsequent in-app action (first transaction, first booking, first workout) has the same structural problem UGO had. Solve for activation before scaling acquisition.
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