How We Generated 9,142 App Installs at ₹15.15 CPI for Tell Me Astro on Meta ads
Performance Marketing Case Study for Mobile App Growth
Scaling a mobile app requires more than simply running ads. Sustainable growth comes from the right campaign structure, intelligent audience targeting, continuous creative testing, and data-driven optimization.
In this Meta Ads case study, we share how we helped Tell Me Astro, an astrology consultation mobile app, generate 9,142 app installs at an average Cost Per Install (CPI) of just ₹15.15 through a structured performance marketing strategy.
This case study is especially useful for businesses looking to understand:
- How to run Meta Ads for app installs
- Effective Facebook advertising strategies for mobile apps
- Practical methods for reducing Cost Per Install (CPI)
- Performance marketing strategies for startups
- How an app growth marketing agency scales installs profitably
The Client
Client Name: Tell Me Astro
Industry: Astrology & Consultation App
Platform: Android & iOS
Objective: Scale app installs profitably using Meta Ads
The app operates in a highly competitive niche where user acquisition costs can vary significantly based on factors such as audience targeting, creative effectiveness, and campaign optimization.
When the client approached us, they had a clear objective:
Increase app installs while maintaining a controlled and sustainable Cost Per Install (CPI).
The Challenges
- High Cost Per Install
The client wanted to scale app installs aggressively, but without allowing the CPI to increase. - Mixed Audience Segments
Users from Tier 1 and Tier 2 cities behave very differently. Factors such as purchasing power, click behaviour, and engagement levels vary significantly, making it difficult to maintain consistent performance with a single targeting approach. - Platform Split (Android vs iOS) Android users typically install apps more easily, while iOS users often show different monetization patterns. This required separate optimization strategies for each platform.
- Creative Fatigue
In astrology and consultation apps, ad creatives can quickly become repetitive, leading to lower engagement and reduced CTR over time.
To overcome these challenges, we needed a structured and strategic approach rather than simply boosting ads randomly.
The Strategy
Phase 1: Campaign Structure Optimization
Instead of relying on a single campaign, we built a structured campaign architecture to allow better testing, control, and scalability. The campaigns were divided into multiple layers based on intent, audience type, and platform.
- App Promotion Campaign: Focused on generating maximum install volume.
- Purchase-Optimized Campaign: Targeted high-intent users more likely to convert.
- Tier 2 Cities Campaign: Created to target segmented audiences with different behavioral patterns.
- Dedicated iOS Campaign: Optimized specifically for iOS users to account for platform differences.
This structure enabled us to achieve several advantages:
- Clear performance comparison across campaigns
- Better control over budget allocation
- Isolated testing of audiences and creatives
- More controlled and efficient scaling
A well-structured campaign architecture is one of the most important principles in performance marketing for mobile apps.
Phase 2: Audience Testing Framework
Rather than relying on a single targeting method, we implemented a structured audience testing framework to identify the most profitable user segments.
We tested multiple audience groups, including:
- Broad targeting
- Astrology interest targeting
- Behavioral targeting
- Purchase-optimized audience
- Tier-based geographic segmentation
After analyzing performance data, we scaled only the audience clusters that delivered the best results. This approach helped minimize wasted ad spend and significantly improved campaign efficiency.
Phase 3: Creative & Messaging Optimization
For astrology and consultation apps, emotional triggers play a major role in driving installs. With this in mind, we focused on creatives and messaging that addressed common user concerns and motivations.
Our creative strategy included:
- Problem-based hooks (career confusion, marriage delay, stress)
- Urgency messaging to encourage immediate action
- Cashback and offer-based incentives
- Clear call-to-action, such as (“Chat with Expert Now”)
- Conversational ad copies
This approach improved engagement rates and reduced drop-offs during the install journey.
Result
Here are the actual Meta Ads results:
Total Ad Spend: ₹1,38,480.59
Total App Installs: 9,142 installs
Average Cost Per Install: ₹15.15
Total Reach: 364,950 users
Total Impressions: 1,281,350
Total Clicks: 18,007
Average CTR: 1.41%
Best Performing Campaign – App Promotion (Android)
- Spend: ₹33,288.89
- Installs: 6,126
- Cost Per Install: ₹5.43
- CTR: 2.02%
This campaign generated a large share of installs at a significantly lower cost compared to the overall average.
Key factors behind its success included:
- The larger Android user base, which naturally drives higher install volumes
- A strong, creative message that resonated with the target audience
- Optimized audience targeting, refined through continuous testing and performance analysis
As a result, this campaign became the primary driver of scalable and cost-efficient installs.
Conclusion
The results highlight that successful app scaling is not driven by ad spend alone, but by data-driven testing, clear segmentation, and ongoing performance optimization. With the right strategy in place, even competitive niches can achieve strong and cost-efficient user acquisition.