👀 I tested all 10 new AppsFlyer products. Here is my no BS verdict!
The real story behind AppsFlyer’s 10 new products.
AppsFlyer launched ten new products this year, but the one that truly reshapes the future of mobile game growth is Signal Hub.
I didn’t want to publish only the raw and boring TL;DR like everybody else did. I mapped it all to use cases you can steal.
With AI agents that automate UA insights, Signal Hub segments that target true payers, fraud-resistant attribution, creative scoring that accelerates testing velocity, and dashboards that remove weeks of manual reporting, AppsFlyer has delivered a stack that finally aligns with how modern UA teams actually need to work. And that’s where my role becomes critical: I help studios implement these capabilities, measure the impact, and translate them into revenue, retention, and scalable creative and UA strategy.
When I asked how Signal Hub fits into the broader measurement ecosystem, the answer was simple: it starts with a real Data Collaboration Platform, where a fully governed clean room allows two companies to safely match and collaborate on data. As Edik said:
“The data collaboration platform has a data clean room in its core and it enables two companies of any sort to collaborate on data in a one-to-one highly managed, highly governed environment.”
This underlying structure already powers some of the world’s biggest brands: retailers, airlines, marketplaces, and global app ecosystems.
But Signal Hub is the evolution that brings this capability into mobile gaming at scale.
Signal Hub changed the model from one-to-one collaboration to one-to-many, enabling gaming companies to access aggregated real-world purchase behavior from leading financial institutions. Instead of negotiating individual data partnerships, studios get instant access to high-quality, privacy-safe spend signals.
How Signal Hub Actually Works
Signal Hub isn’t just a dataset. It’s a workflow that connects:
Your first-party in-app event data
Aggregated spend data from financial institutions
Identity matching
Audience building and filtering tools
One-click activation across every UA channel
🧠 MVP UA Template: I want to launch first Meta campaigns. Now what?
Hey there, fellow UA manager, company founder, or indie developer! I know the feeling.
Edik explained it directly:
“We’re bringing data from different providers into a clean room… gaming companies bring their own player data. They match it on these emails or device IDs. They build audiences and then they activate them anywhere they want - Facebook, Google, email, web, WhatsApp.”
This means studios can build audiences like:
High-value spenders
Users who match top-payer behavior
Premium shoppers
Casino spenders
Beauty category buyers
Entertainment subscribers
And activate them instantly on Meta, TikTok, Google Ads, Pinterest, email, or any custom workflow.
The Secret Weapon: Customization
Most third-party data comes in broad, generic segments. Signal Hub allows customization at a level you simply can’t get elsewhere.
“With Signal Hub you can say people who spend more than $200 on “a specific luxury brand” … This level of customization is not available anywhere else.”
This is the difference between targeting:
“Luxury spenders”
versus“Users who spent $200+ at a specific luxury brand and overlap with your whale cohort.”
“Players who spent $1000 in a real casino in the last 30 days”
That’s a targeting capability the gaming industry has never had before.
The Pricing Model Is Wildly Good
Another overlooked advantage is the business model.
You don’t pay CPMs. You don’t pay a revenue share. You don’t keep buying the audience every time you run a campaign.
You buy it once.
“They charge for the audience… you buy the audience once and then you can run it hundreds of times on every single channel and do whatever you want with it.”
This is one of the most cost-efficient sources of high-intent UA targeting ever created.
Why Signal Hub Is the Center of the Announcement
Every other AppsFlyer product launched this year becomes exponentially more valuable when powered by Signal Hub:
AI agents become smarter when fed purchase-validated signals.
Incrementality becomes clearer when cohorts reflect real-world spending.
Cross-platform LTV becomes accurate when connected to real financial behavior.
Creative scoring becomes more predictive with payer-enriched targeting.
Dashboards and MCP agents generate stronger insights when trained on premium signals.
During the call, I said exactly this:
“Everything else is really nice to have & improves the UA workflow. But this, this is very interesting. Out of all AppsFlyer announcements this one really got my attention.”
Signal Hub gives mobile games what they’ve been missing since the loss of deterministic identifiers: accurate, privacy-safe, real-world payer signals that can be activated instantly across every UA channel.
Signal Hub is the source. Everything else is amplification. Very useful amplification!
So why does all of this matter to me?
Given that I:
work a lot with UA performance across multiple ad networks,
are heavily involved in creative production & testing for mobile games,
produce weekly UA reports with ROAS / retention benchmarks,
and are actively thinking about retention, monetization, dataset hygiene, creative stagnation, and scaling
… these new AppsFlyer products could directly upgrade your entire growth stack. For example:
You can replace manual creative-tagging / creative-winner detection with the Creative Management Hub + Agentic AI Suite, saving time and improving decision speed.
Use Incrementality + Enhanced Attribution to improve UA budget allocation - avoiding spend on non-incremental channels or fraud.
Use Cross-Platform LTV and Signal Hub for a more holistic view of player value (especially if any of your games expand beyond mobile or use web/other platforms).
Leverage My Dashboards + AI assistant + MCP to speed up your UA reports (fits your stated format preference) and allow non-BI team members to query data.
(FML, I HATE REPORTING)
Anyway ... here are the real-life use cases that you can borrow right away. A clean, actionable mapping of how each of AppsFlyer’s new products can be directly used for my actual projects (games I manage, UA consulting work, creative production, podcast content, etc.).
This is custom-tailored to how I operate: heavy UA, creative iteration, multi-network buying, weekly reports, and AI-powered creative pipelines. All the shit I love!
1. Agentic AI Suite → Weekly UA Optimization + Creative Alerts
What it does for you:
Automates exactly the things you do daily: performance scans, retention dips, CPI spikes, IPM drops, fatigue detection.
Use cases across your games:
GAME1: Daily agent checks “D0 ROAS for iOS-US FB improving?” and notifies you.
GAME2: Anomaly alerts if TikTok CPIs spike in KR/JP.
GAME3: Agent spots creative-level stagnation based on CTR, IR, IPM.
My newsletter/podcast: Agent summarizes industry UA data trends for content.
Outcome: I get a UA analyst in your pocket 24/7.
2. Cross-Platform Journeys & LTV → Full LTV picture (Mobile + Web + IAP + Ads)
What it does:
Connects mobile, web, desktop, and cross-device behavior.
Use cases:
APP (mobile → web conversion): Track if users who download the app later pay for premium on web. Web funnels + web2app
My UA clients using web shops (FastSpring, D2C): Tie mobile acquisition to web checkout (huge).
Outcome:
A true cross-platform LTV model - no more under-valuing high-value players.
3. Enhanced Attribution Model → No more bad networks stealing credit
What it does:
Detects click-flooding, fake installs, and fraud patterns automatically.
Use cases:
GAME1: Protects against fraud-heavy networks in KR/JP.
GAME2: Clears up attribution for networks with inflated “assist” traffic.
Any hybrid-casual game: Stops fake-attribution networks from taking credit for organic installs. Which network is this?!
Outcome:
Cleaner reporting
4. My Dashboards (AI) → Weekly Reports in 10 seconds
What it does:
Natural-language querying + auto-generated insights.
Use cases:
Ask: “Show me improving D0 ROAS trend in the last 3 days for iOS-US Meta.”
Ask: “Which creatives became fatigued on TikTok in the last 7 days?”
Ask: “Compare Applovin and Meta by D7 retention for APP1.”
Outcome:
My weekly reports (the structured ones I prefer) can be generated in seconds instead of hours.
5. Creative Management Hub → Your Entire Creative Workflow
What it does:
Central hub for analyzing + scoring + deploying creatives.
Use for your specific work:
GAME 1: Test hooks, surface top performers, push winners to Meta/TikTok instantly.
GAME2: Score POV-style, UGC-style, and high-FX styles separately.
Outcome:
Scale creative velocity and cut wasted production effort.
6. MCP (Model Context Protocol) → Build Your Own UA Assistant
What it does:
Lets you connect AppsFlyer data into a custom AI agent.
Your use cases:
Build “Matej UA Agent” that:
Pulls real-time KPIs
Identifies creative fatigue
Suggests 5 new creative ideas
Recommends budget shifts
For my 2.5 Gamers content: Automatically generate industry benchmarks. Lets see how this is gonna pan out.
Outcome:
I can literally productize your brain. or mine! HOHO…
7. Deep Linking Suite → Better Re-engagement + Event CTA Flows
What it does:
Web-to-app, QR-to-app, referral-to-app, deep linking.
Use in your workflows:
Seasonal events in GAME 1 and GAME2:
Bring returning users directly into event screens.APP1: QR codes for “Scan this plant” campaigns on TikTok.
Outcome:
Higher conversion, better engagement, more reactivated users.
FINAL TL;DR
AppsFlyer’s new suite gives you:
AI automation for UA (Agentic AI Suite)
Real incrementality (stop wasting money)
Full LTV across mobile & web (critical for 2025)
Better audiences (Signal Hub)
Cleaner attribution (fraud-free)
Faster weekly reporting (My Dashboards)
Creative analytics at scale (Creative Hub)
Your own UA assistant (MCP)
Enterprise-grade access control (Security)
Deep linking for conversion/re-engagement (DL Suite)
Reach out to Appsflyer or check the whole suite of products here.