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What is Appvertiser AI?

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ASO Optimization

Gaming

Jun 12, 2026

Udo Games: 50% CVR to Installs and 3x Keywords with Full-Funnel ASO

How Appvertiser AI helped UDO Games achieve 50% conversion rate to installs and 3x keyword growth for Street Life through full-funnel ASO with in-app events and purchases.

Trusted by teams behind leading apps & games

EXECUTIVE SUMMARY

Appvertiser AI partnered with UDO Games to optimize Street Life in the US market through comprehensive full-funnel ASO incorporating in-app events and purchase optimization, achieving a 50% conversion rate from views to installs and tripling keyword rankings.

REGION

United States

CHANNELS

iOS & Android

CAMPAIGN GOAL

CVR & Keyword Growth

+50%

CVR

Keyword Growth

01 / CHALLENGE

The constraint

In a highly competitive US casual gaming market, simply optimizing metadata was not enough. UDO Games needed a differentiated approach leveraging every available App Store feature to stand out and drive both visibility and conversion.

02 / STRATEGY

The operating model

Full-funnel ASO strategy addressing every stage of the user journey — from discovery through conversion and engagement — using in-app events optimization, in-app purchase strategy, and creative asset optimization simultaneously.

03 / EXECUTION

The system in motion

Launched three targeted in-app events to boost App Store Events section visibility and improve engagement signals. Optimized in-app purchase structure to send positive revenue signals to the algorithm. Optimized store listing and creative assets across the full funnel.

04 / RESULTS

Measured outcomes

+50% conversion rate from views to installs. 3x increase in keyword rankings. Full-funnel approach created compounding effect on both visibility and conversion.

WHAT ENTERPRISE TEAMS CAN TAKE AWAY

A repeatable growth pattern, not a one-off win.

In competitive gaming categories, full-funnel ASO — including in-app events and purchase signals — delivers significantly better results than metadata optimization alone. Every App Store feature leveraged adds a multiplier effect.

Frequently Asked Questions

Appvertiser AI is an AI-powered platform for mobile user acquisition. It connects your ad channels, MMP, and internal data sources into one workspace, then uses AI to analyze performance, recommend the next best action, predict the outcome of a change before it's applied, and execute approved changes across every channel — with your team in control at every step. It's built on expertise from managing $700M+ in mobile ad spend across 140+ apps and games.

The platform unifies your user acquisition operation. It brings every ad channel and MMP into one source of truth, lets you manage campaigns in bulk across channels from a single workspace, analyzes performance and recommends changes at the channel, campaign, ad group, and creative level, predicts outcomes before you commit, and executes approved changes automatically. For teams that need hands-on support, optional Growth Services cover UA strategy, ASO, creative production, and soft launch.

Mobile gaming studios (casual, midcore, social casino), fintech, subscription, travel, and entertainment apps. Clients range from global brands to growth-stage studios, including Playrix, Voodoo, TikTok, Fortis Games, DeNA, Dave, Airalo, Empower, and Proof of Play.

The platform manages campaigns across Meta, Google Ads, TikTok, Apple Search Ads, AppLovin, Unity, Mintegral, and Moloco, and we're official Meta and Google Partners. For analytics and recommendations, it supports any channel connected to your MMP, so your full-funnel view lives in one place.

You set the objectives and guardrails, and the AI handles the routine optimization — budget allocation, bid adjustments, scaling winners, and pausing underperformers. Every AI-recommended change runs through a human approval workflow, so your team stays in control of what actually gets executed. The platform removes operational complexity, not human judgment.

You connect your ad accounts and MMP and set your KPI targets (CPI, ROAS, CAC). The platform continuously analyzes performance across every connected source, surfaces the next best action at the channel, campaign, ad group, and creative level, and — this is the part teams don't expect — predicts the outcome of a proposed change before it's applied. You approve, and it executes across channels.

Yes. The platform forecasts the outcome of a proposed change before budget is committed, using historical spend data, audience signals, and creative performance patterns. This reduces wasted spend during testing and accelerates scale decisions — particularly valuable in new geos or new channel launches, where scaling on evidence instead of instinct matters most.

General-purpose AI tools summarize the data you paste in. They can't access your live campaign data, have no domain-specific decision intelligence, and can't take action. Appvertiser AI connects directly to your channels and MMP, is purpose-built for mobile UA decisions, and executes approved changes across every channel — not just advice, but action with your approval.

Across 140+ apps and games, customers see an average 61% ROAS improvement, 35% CPI reduction, and roughly 70% less campaign-management workload. Dave scaled from $120K to $2.1M in monthly spend in six months while holding ROAS targets. Proof of Play automated 80% of its UA operations with far faster launch cycles. Results reflect downstream events — purchases, subscriptions, retention — not vanity install counts.

Both. Clients include global brands like TikTok, Playrix, Voodoo, DeNA, and PlayStation, alongside growth-stage studios like Fortis Games, Proof of Play, and Whalo. The platform and, where needed, the services team adapt to your spend level, team size, and UA maturity — enterprise-grade decision-making without requiring an enterprise-sized team.

The platform tracks ROAS, CPI, CAC, retention (D1/D7/D30), LTV projections, and creative performance at the variant level, all in a real-time dashboard. Optimization targets downstream events, not just installs, so the numbers you report reflect actual business impact.

Most teams see CPI improvements within the first 30 days as the AI optimizes bidding and budget allocation. Significant scaling — reaching $1M+ in monthly spend — typically takes 3 to 6 months depending on your starting point, product-market fit, and how aggressively you want to grow.

A traditional agency runs manual execution on a retainer, in business hours. Appvertiser AI unifies your UA operation into one platform that analyzes, predicts, and executes continuously, with your team approving the moves. Teams that need hands-on help can still add Growth Services — but the software does the heavy operational lifting, at the pace software works.

It's not either/or. A single senior UA hire covers one role in business hours; Appvertiser AI unifies your channels, predicts outcomes, and executes approved optimizations continuously, freeing whoever runs UA to focus on strategy and creative direction instead of manual campaign operations. Most teams get more leverage from the platform than from adding one more seat.

MMP stands for Mobile Measurement Partner — tools like AppsFlyer, Adjust, or Singular that track where your installs and in-app events come from. Without proper MMP and postback setup, campaigns optimize toward installs instead of the downstream events (purchases, subscriptions, retention) that actually matter. Appvertiser AI connects directly to your MMP, and our services team offers MMP audits, SDK integration, and postback configuration.

SKAdNetwork is Apple's privacy-preserving attribution framework, and proper setup is critical for iOS UA. Our team has deep expertise in SKAN schema design, postback window optimization, and conversion value mapping, offered as part of MMP and attribution setup.

Yes — ASO is delivered through Growth Services. Specialists cover keyword research, competitor analysis, metadata optimization, screenshot and creative assets, A/B testing, and localization including APAC markets. It's available on its own or alongside the platform.

No. Your data is fully isolated and never used to train our model. The AI operates on your data as input to run analysis, recommendations, and execution for your account — it isn't training material. Your data stays yours, and protected, throughout.

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