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What is Appvertiser AI?

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Sep 17, 2026

Solitaire Spellbook by DeNA: 30% Higher IPM

How Appvertiser AI produced AI creatives for DeNA's Solitaire Spellbook that outperformed in-house and agency work, delivering 30% higher IPM across 5 channels.

Trusted by teams behind leading apps & games

EXECUTIVE SUMMARY

Appvertiser AI produced multi-format gaming creatives for DeNA, including statics, 2D assets, gameplay storytelling, and interactive playables.

REGION

CHANNELS

CAMPAIGN GOAL

Creative Performance & IPM Optimization

Growth Channels

+30%

IPM

Creative Formats

01 / CHALLENGE

The constraint

DeNA needed its Solitaire Spellbook launch creative to outperform both an established in-house production team and an outside agency, while producing enough format variety to keep IPM climbing across five acquisition channels in the competitive US casual games market.

02 / STRATEGY

The operating model

AI creative production spanning four formats — static ads, 2D video, gameplay storytelling, and interactive playables — tested head-to-head against DeNA's in-house and agency-produced assets across TikTok Ads, Unity Ads, Meta Ads, AppLovin, and Google Ads to isolate the highest-IPM concept.

03 / EXECUTION

The system in motion

Produced a full mix of AI-generated static ads, 2D video, gameplay storytelling, and interactive playables for Solitaire Spellbook. Ran the creative set alongside DeNA's in-house and agency-produced assets on iOS and Android across five channels, tracking IPM by concept and format to surface the top performer.

04 / RESULTS

Measured outcomes

30% higher IPM than DeNA's second-best creative. Outperformed every in-house and agency-produced asset on the account. 4 AI-native creative formats produced and tested. Live across 5 channels on iOS and Android.

WHAT ENTERPRISE TEAMS CAN TAKE AWAY

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

AI creative production can out-compete both internal teams and outside agencies on performance, not just speed. Testing multiple formats in parallel — not just one — is what surfaces the highest-IPM concept in a crowded casual games market.

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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