Case Study: +120% First-Time Deposit Users via ASO Strategy

The mobile gaming sector continues to experience consistent expansion, driven by widespread smartphone penetration and ongoing advancements in mobile processing capability. With a highly saturated market encompassing genres from casual puzzles to complex strategy games, baseline competition remains rigorously high. For developers, sustainable operational success requires not merely functional game design, but the execution of data-driven user acquisition and retention frameworks.

Within this structural environment, Cost Per Install (CPI) acts as a fundamental metric for evaluating promotional efficiency. The primary commercial objective is to decrease baseline CPI whilst acquiring high-LTV (Life-Time Value) users capable of driving direct revenue. For gaming applications specifically, accelerating the volume of First-Time Deposit (FTD) users—individuals completing their initial in-app purchase—represents a core monetisation milestone.

This case study provides an objective analysis of how a casual gaming application operating in the Russian market managed to restructure its growth metrics using targeted keyword strategies via App Store Optimisation (ASO), concurrently integrated with strategic CPI optimisation protocols deployed by ASOWorld.

App Store Optimisation (ASO) Performance Metrics

• 120% Increase in First-Time Deposit Users: Post-implementation of the revised ASO architecture, FTD conversion volume more than doubled within a 30-day operational window.
• 260% Growth in Installs: Monthly baseline installs escalated from 5,000 to 18,000, indicating improved visibility and conversion efficiency.
• Category Ranking Progression to Top 10: The application's index position within the Russian Casual Game category advanced from 50th to the top 10 quartile.

💡 Strategic Insight: Sustained growth in install velocity fundamentally alters category ranking algorithms within primary app stores. Consequently, ASO acts as a structural lever for securing and maintaining index visibility.


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Operational Background

The subject is a casual gaming application targeting the Russian demographic. Prior to intervention, the developer executed a high-budget paid advertising strategy designed to scale overall installs and initiate FTDs. Empirically, these unoptimised cross-channel campaigns yielded statistically insignificant results, failing to deliver the projected Return on Ad Spend (ROAS).

Confronting a high nominal CPI alongside inefficient conversion rates, the publisher required a systematic diagnostic and intervention protocol to restructure their acquisition funnel.

Diagnostic Challenges in ASO Configuration

To construct an actionable framework, an initial audit was conducted focusing on three core parameters:

• Product Positioning Model: Defining the utility of specific game mechanics and matching them to precise demographic clusters.
• Competitor Landscape Analysis: Benchmarking metadata and semantic strategies against dominant market entities within the defined regional app stores.
• Geographical Search Behaviour: Adjusting morphological targeting to align with regional colloquialisms and specific user search intent queries.

The diagnostic audit identified fundamental deficiencies within the application’s legacy keyword strategy, creating artificial bottlenecks for organic discoverability. Furthermore, the paid acquisition funnels lacked strict audience filtering, generating low-intent traffic. The corrective objective was twofold: aggregate organic traffic via long-tail, high-intent keywords, and decrease nominal CPI via precise behavioural targeting.

💡 Analytical Insight: When a mobile application secures top-tier indexation for heavily trafficked semantic queries, the dependency ratio on paid UA (User Acquisition) decreases incrementally. This organic subsidisation is the primary mathematical driver for global CPI reduction.

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Implemented ASO & Optimisation Frameworks

The foundational phase of the semantic restructuring involved a rigorous mapping of the game's Unique Selling Propositions (USPs). By quantifying variables such as UI/UX design, session length, and social integration mechanics, the keyword matrix was directly correlated with actual user expectation parameters.

Following this, a structured competitor landscape analysis was executed to audit the ranking distribution of top grossing titles. This comparative study highlighted both viable traffic gaps and oversaturated search terms requiring strategic avoidance.

Semantic Research and Keyword Selection

Utilising established ASOWorld ASO analytics software, a baseline dataset of query variants was generated. The analytical dashboard facilitated the isolation of terms based on Monthly Search Volume (MSV), algorithmic difficulty, and current baseline rankings. The strategy prioritised mid-tail keywords exhibiting high semantic relevance, stable MSV, and viable index difficulty metrics.


Prioritisation of High-Intent Conversion Terms

Beyond rudimentary volume metrics, the focus was shifted to terms demonstrating historic correlations with FTD initialisation. By cross-referencing in-app purchase logs with organic entry terms, specific semantic triggers were identified that typically yield a higher propensity for in-game expenditure.

Through this systematic filtering protocol, the final semantic matrix ensured that generated traffic consisted heavily of qualified demographic cohorts capable of driving targeted monetisation events.

Visual A/B Testing and Metadata Localisation

Parallel to semantic structuring, continuous A/B testing was run on visual assets (iconography, screenshots) and textual descriptions. These assets were iteratively modified to explicitly communicate the inherent value of early game mechanics, thereby optimising install-to-FTD conversion velocities.

Targeted CPI Optimisation Protocols

To construct a bidirectional growth model, ASO deployments were synchronised with stringent CPI management protocols. This approach involved:

Ad Creative Calibration

Implementation of split-testing across varying formats (video creatives vs. playable micro-demos) to isolate the variant yielding maximum Click-Through Rate (CTR) at the minimum bid threshold.

Predictive Behavioural Targeting

Utilisation of Lookalike Audiences (LAL) and deterministic behavioural parameters to restrict ad serving predominantly to users exhibiting historical in-app purchase tendencies.

Platform-Level Allocation

Dynamic auditing of media-buying platforms to systematically reallocate capital expenditure towards channels demonstrating statistically superior ROAS.

💡 Strategic Insight: The simultaneous execution of precise ASO structuring and rigorous CPI filtration functions as a multiplier. It scales high-intent organic visibility while strictly controlling the margin costs of paid acquisition.

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Multivariate Analysis: External Catalysts

For scientific accuracy, it is requisite to note that whilst applied ASO and CPI mechanisms served as primary determinants, external variables contributed to the data delta:

• Software Iteration: A concurrent patch deployment addressing early-level UX drop-offs yielded a baseline retention uplift of 10%.
• Seasonal Macro-Trends: The assessment window ran adjacent to domestic holiday periods within Russia, initiating a systemic rise in general smartphone usage parameters.

Controlling for these environmental factors ensures a robust evaluation model, though the scale of growth isolates the executed optimisation models as the core driver.

Conclusion

The operational data extracted from this Casual Game confirms the empirical validity of systematic, intent-focused ASO execution. By shifting the objective parameter from generic index visibility to refined user quality metrics, ASOWorld's deployment fundamentally restructured the application's underlying monetisation capacity.

For publishers seeking to audit their current software positioning, the ASOWorld App Intelligent Diagnosis mechanism allows for a baseline evaluation of application metrics and existing traffic gaps. Access is provided — free upon standard registration.

👉 Technical Documentation: Standard Operating Procedures for Semantic Research & Application Discoverability via ASOWorld Platforms