The Cross-Signal Intelligence Engine
From Raw Signals to Predictive Market Intelligence
Other platforms give you data from one source. We correlate signals across app stores, ad networks, streaming platforms, and user behavior to produce intelligence no single source can match — then layer AI predictions on top.
Why cross-signal?
Single-source data tells you what happened. Cross-signal intelligence tells you why — and what happens next.
A download spike is just a number until you can see the ad campaign that caused it, the keyword rank change that amplified it, the streaming surge that preceded it, and the review sentiment shift that followed. That's what cross-signal correlation delivers.
We ingest data from app store APIs, ad network libraries, Steam Web API, streaming platforms, APK analysis, and user review feeds — then normalize, cross-reference, and layer AI predictions to produce intelligence that's greater than the sum of its parts.
App Store Data
Downloads, revenue, rankings, metadata, reviews from Google Play & Apple App Store
Ad Network Data
Creative tracking, spend estimates, network distribution from Meta, TikTok, Google, Unity, AppLovin
Steam & PC Data
Player counts, price history, achievements, community activity from Steam Web API
Streaming Data
Twitch viewership, YouTube gaming metrics, streamer activity correlation with downloads
APK Analysis
SDK detection, technology stack identification, game engine fingerprinting from binary analysis
NLP & Sentiment
AI-powered review analysis across 30+ languages, feature extraction, sentiment trending
Under the hood
The Intelligence Engine
This isn't a dashboard on top of a database. It's a purpose-built intelligence engine with six layers of data processing that turn raw signals into forward-looking market intelligence.
Cross-Signal Correlation
We don't just aggregate data — we correlate signals across sources. A download spike means more when you can see the ad campaign that caused it, the keyword rank change that amplified it, and the streaming surge that preceded it.
Geo-Adjusted Normalization
Raw numbers from different markets aren't comparable without normalization. Our models adjust for market size, purchasing power, platform distribution, and seasonal patterns across 140 countries — so every comparison is honest.
Temporal Pattern Modeling
We model time-series behavior for every tracked title: weekly seasonality, update impact windows, competitor launch effects, and long-term lifecycle curves. This is what makes our anomaly detection and forecasting accurate — we understand what 'normal' looks like.
Ensemble Prediction Architecture
Our prediction engine isn't a single model. It's an ensemble of gradient-boosted trees for tabular features, transformer models for sequential patterns, and collaborative filtering for similarity-based inference — retrained weekly on fresh data.
Signal Confidence Weighting
Not all data is equally reliable. Our models assign confidence weights to each signal source based on freshness, coverage, and historical accuracy. Higher-confidence signals carry more weight in predictions, and every output includes uncertainty ranges.
Continuous Backtesting
Every prediction model is continuously backtested against holdout data and, where available, publisher-reported actuals. We publish accuracy metrics transparently: median retention prediction error below 15% at D30 horizon, revenue forecasts within 20% at 90-day horizon.
12 intelligence modules
Every signal. One platform.
App & Game Intelligence
Downloads, revenue, rankings, and engagement across 250K+ mobile games and 1.5M apps in 140 countries. Daily refresh. Multi-store coverage.
Learn MoreAdvertising Intelligence
Track ad creatives, spend estimates, and campaign strategies across Meta, TikTok, Google, and 10+ ad networks. See who spends what, where.
Learn MoreTaxonomy & Classification (Game IQ)
AI-powered classification: 120+ sub-genre tags, art style detection, monetization model mapping, and mechanic identification across every tracked title.
Learn MoreAI Predictions & Forecasting
300+ ML-generated metrics per title. Retention curves, LTV projections, CPI benchmarks, revenue forecasts — with confidence intervals and backtesting.
Learn MoreSearch & ASO Intelligence
Keyword rankings, search volume, difficulty scores, and competitor keyword strategies across Google Play and Apple App Store in 140 countries.
Learn MoreReview Sentiment & NLP
AI-powered sentiment analysis across millions of user reviews. Feature-level extraction, trend detection, and cross-competitor sentiment comparison.
Learn MorePC & Steam Analytics
Hourly player counts, price history, wishlist dynamics, achievement completion, and NLP review sentiment for 300K+ Steam titles.
Learn MoreConsole Intelligence
PlayStation, Xbox, and Nintendo Switch market data. Estimated units sold, cross-platform performance, and launch tracking for 200K+ titles.
Learn MoreSDK & Technology Detection
Detect game engines, ad networks, analytics SDKs, and third-party tools across every tracked app. Competitive tech stack benchmarking.
Learn MoreAnomaly Detection & Alerts
Real-time monitoring for download spikes, rating drops, revenue shifts, and competitive moves. ML-powered — no threshold guessing.
Learn MoreGeographic Intelligence
Country-level opportunity scoring, cross-market propagation tracking, and regional competitive landscapes across 140 markets.
Learn MoreAI Copilot
Ask any question about the digital market in plain language. Get instant answers with auto-generated charts, tables, and exportable data.
Learn MoreHow we compare
Built to replace a stack of tools
Most intelligence platforms cover one vertical well. AllInsights.ai correlates signals across all of them.
| Platform | Category | Limitation |
|---|---|---|
| Sensor Tower | Mobile analytics | Single-platform focus, no PC/console, limited predictive capabilities |
| Data.ai | Mobile intelligence | Mobile-only, no cross-platform franchise tracking, no AI Copilot |
| SteamDB | Steam data | PC-only, no mobile data, no ad intelligence, no predictions |
| SimilarWeb | Web analytics | Web-centric, limited app depth, no game-specific intelligence |
| AppMagic | Mobile market data | Data-only, no predictive layer, no sentiment analysis, no SDK detection |
| AllInsights.ai | Cross-signal intelligence | All of the above — in one platform with AI predictions |
Platform roadmap
Starting with games. Scaling to the digital economy.
- —Mobile Games & Apps (250K+ games, 1.5M apps)
- —PC & Steam Analytics (300K+ titles)
- —Console Intelligence (200K+ titles)
- —Ad Intelligence (Meta, TikTok, Google)
- —ASO & Keyword Intelligence
- —AI Predictions (300+ metrics)
- —Review Sentiment & NLP
- —SDK Detection
- —AI Copilot
- —Social Media Analytics
- —Advertising & Marketing Intelligence
- —Influencer & Creator Economy Data
- —Cross-platform Attribution
- —Books & Publishing Intelligence
- —Podcasts & Audio Analytics
- —Streaming & Video Intelligence
- —Full Digital Economy Coverage
Accuracy & transparency
Predictions are only useful if you can trust them
From the Blog
View allPlatform · February 2026
Introducing AllInsights.ai: Intelligence for the Digital Economy
Why we built a cross-signal intelligence engine, what problems it solves, and our vision for scaling beyond games.
Product · February 2026
How AI Predictions Work Inside AllInsights.ai
Under the hood: ensemble models, cross-signal weighting, backtesting, and why we publish accuracy metrics.
Market Intelligence · February 2026
Q4 Digital Market Index: Games, Apps & Advertising
Our quarterly analysis: $42B consumer spending, ad budget shifts, genre performance, and what it means for 2026.