262K
keywords, 91 store fronts and 4 placements – the real size of the Apple Ads marketer job.
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Iris performs 50+ specialized Apple Ads workflows – from research and planning to optimization and reporting – by combining your campaign performance data with extensive market intelligence.
Why now?
A competitor just started bidding on your brand. A keyword is about to spike. A campaign has been burning budget for a week.
These are the moments that drive revenue and ROAS. But they’re buried in more data than any human team can monitor.
Apple Ads campaigns are won by the teams that can process the most data and turn insights into action.
That’s why Iris is the next competitive advantage in Apple Ads. It watches competitors, keywords, campaigns and seasonality, identifies performance changes and acts on them in under a minute. Teams save 40+ hours every month. One customer increased D30 ROI by 91%.
keywords, 91 store fronts and 4 placements – the real size of the Apple Ads marketer job.
of marketers take days to react to clearly underperforming campaigns.
increase in change frequency for Apple Ads bids & budgets.
Why Iris?
Iris is the only enterprise-grade AI Agent that connects Apple Ads intelligence to governed execution. It’s the difference between AI chatbots “providing insights” and “providing insights and getting actual work done.”
Iris watches competitors, keywords, campaigns, budgets, seasonality and performance to surface opportunities the moment they emerge.
Iris combines your Apple Ads data, market intelligence and your business specific context to reason what's actually driving performance.
From investigation to reporting, recommendations and adding keywords to campaigns, Iris completes real Apple Ads work in minutes.
Iris’ bid and budget recommendations are powered by predictive modelling from Samba AI, giving you the speed and accuracy to outperform competitors.
Since launching in 2022 as first AI Agent for Apple Ads, Iris has processed 5000+ queries. It’s constantly expanding its intelligence to increase reliability over time.
Built on SplitMetrics’ proprietary market intelligence including 3M+ keywords, millions of ASO signals, competitor spend, CPPs, SOV and $2B in ad spend insights.
Interactive demo
Click through the screens below to explore how Iris works within SplitMetrics Acquire.
Use cases
These featured client success stories show how Iris turns your campaign data and market intelligence into actions that drive performance.
Competitor research
With SplitMetrics, you move beyond simple AI helpers operating as chatbots in silos. Iris has access to extensive Apple Ads intelligence, providing you with a clear growth path in market context.
+50M
data points checked by Iris when asked about competition.
“Trying Iris, you realize quickly that if competition had this tool, they’d have a huge advantage. For me it was mainly competitor analysis – understanding which keywords competitors launch that we don’t have. It also helped with adding keywords, adjusting bids, exploring new markets, and bringing ideas to the ASO team. ”
Macha Tcherniaeff
Senior UA Specialist
Keyword research
As the only AI Agent on the market, Iris analyses your competitor’s (seasonal) keyword strategy and tells you which ones they profited from. So you can benefit from them too.
+500M
data points checked by Iris for seasonality movements.
“I was very impressed with Iris. One of my favorite things is that it actually gives very actionable insights – it gave me a whole list of keywords to add and showed where competitors were particularly aggressive on our brand that we weren’t protecting. “
Taylor Campbell
SEM Manager
Conversion rate optimization
Iris has access to unique market data about your competitor custom product pages. It scans them all at once – promotional texts, captions, offers – and makes suggestions in what you could do better.
+91%
ROI D30 through expanding non-brand campaigns with CPP recommendation.
“Iris AI proved to be a helpful assistant, especially when we noticed sudden shifts in performance. When we saw increased competition on our brand, Iris helped us uncover bidder’s keyword strategies, focus geos, and custom product page activity within minutes. The Slack integration makes it incredibly convenient. ”
Eivydas Pranciulis
Senior User Acquisition Manager
Built into every workflow
Explore 50+ specialized Apple Ads scenarios powered by your business context, real-time market intelligence, Samba AI and over 10 years of Apple Ads expertise.
Research
Get overview of competitor spend, bids, keywords, metadata and custom product pages usage.
Growth
Get a list of new Apple Ads keywords with search popularity and Share of Voice for your specific store listing.
Growth
Research competitors’ custom product pages to understand their tactics and generate test ideas for your own app.
Growth
Show me untapped countries where competitors aren’t advertising but category demand is high.
Research
Get specific keywords where you could take over competitor market share with relatively low effort.
Analysis
Let iris evaluate your historical campaign performance, usage of CPPs, keywords, bidding tactics and suggest what to improve.
Research
Iris will analyze market trends, what has worked well for your competition previously and tells you which tactics you can benefit from as well.
Research
Compare market-specific Apple Ads strategy for different apps across 91 storefronts.
Research
Generate a brand-favourable, CVR-optimized campaign brief with custom product pages structured for App Store algorithms.
Growth
Get a performance-driven 3,6 or 12 month plan of specific activities that is prioritized and based on your targets.
Growth
Have full ASO strategy analysis, identifying high-potential keyword gaps and metadata improvements.
Growth
Get an overview of personalized suggestions for improving metadata, creatives and ratings on the App Store.
Capabilities
What makes Iris different isn't just what it can do – it's the technology and data that powers every decision and action.
Iris connects your live Apple Ads account, MMP data, app metadata and SplitMetrics’ proprietary market intelligence into a single intelligence layer. It understands not just what changed – but why.
Cause-and-effect analysis, not just raw numbers
Campaign insights correlated with competitor moves and market dynamics
Live Apple Ads and App Store intelligence across 2M+ apps, millions of keywords and market benchmarks
Iris continuously maps and analyzes competitors and market activity to surface category leaders, untapped opportunities and keyword gaps others are under-investing in.
Competitor acquisition strategies: spend, bids, keywords, metadata and custom product pages
Your competitive market position: Share of Voice and estimated spend across markets and apps
For strategy, competitor comparison and root-cause analysis, Iris runs a plan–execute–reflect process across a large set of data points, coordinating specialist agents for market and performance research. It handles analysis that would otherwise take hours of manual work.
Strategy development backed by multi-step reasoning
Competitor comparison across large datasets
Root-cause analysis completed in minutes, not hours
Iris is available from any account object – app, campaign, ad group or keyword – and ranks recommendations by their expected KPI impact. Apply keyword and bid suggestions directly from the chat, without switching tools or exporting data.
Stay in context throughout every workflow
Focus on the actions with the biggest business impact
Turn recommendations into execution in a single step
Iris remembers your app, goals, KPIs, competitors and constraints, and shares that context across your team. Recommendations account for your setup from the start and get sharper the more you use it.
Business-specific analysis instead of generic AI answers
Consistent execution aligned with your goals and KPIs
Shared context that improves every workflow over time
Comparison
Learn why Iris is different from other alternatives on the market.
Key features
Account & MMP data
✅ Full live Apple Ads account at every level
❌ No Apple Ads account nor MMP data access
⚠️ No MMP data, limited campaign data
Market intelligence
✅ Multi-year Apple Ads data history
❌ Public web data only
⚠️ Limited Apple Ads signals
Apple Ads expertise
✅ 10+ years of Apple Ads expertise
❌ Generic ads knowledge only
⚠️ New to Apple Ads
Answer quality & depth
✅ Personalized suggestions
❌ Generic recommendations
⚠️ Basic answers
Scope of work
✅ 50+ Apple Ads workflows
⚠️ Limitless in theory, manual in practice
❌ Research and reporting only
Bid & budget intelligence
✅ Predictive Samba AI models
❌ Theoretical suggestions
❌ No predictive AI models
Execution
✅ Only AI Agent executing Apple Ads campaign changes
❌ Cannot modify Apple Ads campaigns
❌ Cannot modify Apple Ads campaigns
Platform architecture
✅ One master agent directing specialist sub-agents
❌ One general chatbot
⚠️ Four siloed agents
Enterprise readiness
✅ Persistent context layer
⚠️ Data governance is on you
❌ No memory, context, or cross-chat layer
Key features
Account & MMP data
✅ Full live Apple Ads account at every level
❌ No Apple Ads account nor MMP data access
⚠️ No MMP data, limited campaign data
Market intelligence
✅ Multi-year Apple Ads data history
❌ Public web data only
⚠️ Limited Apple Ads signals
Apple Ads expertise
✅ 10+ years of Apple Ads expertise
❌ Generic ads knowledge only
⚠️ New to Apple Ads
Answer quality & depth
✅ Personalized suggestions
❌ Generic recommendations
⚠️ Basic answers
Scope of work
✅ 50+ Apple Ads workflows
⚠️ Limitless in theory, manual in practice
❌ Research and reporting only
Bid & budget intelligence
✅ Predictive Samba AI models
❌ Theoretical suggestions
❌ No predictive AI models
Execution
✅ Only AI Agent executing Apple Ads campaign changes
❌ Cannot modify Apple Ads campaigns
❌ Cannot modify Apple Ads campaigns
Platform architecture
✅ One master agent directing specialist sub-agents
❌ One general chatbot
⚠️ Four siloed agents
Enterprise readiness
✅ Persistent context layer
⚠️ Data governance is on you
❌ No memory, context, or cross-chat layer
Taylor Campbell
Marketing
Experian
“Everybody's being asked to do more with less — Iris is one of those tools that allows you to do more. The fact that it actually has context of your business and what you're trying to do makes a big difference.”
Apple Ads Manager
Marketing
AEZAKMI
“I ran an interesting prompt regarding which countries are subsidizing others' losses and the extent to which profitable countries cover inefficient ones, focusing on costs and revenue. I audited the numbers, and the model was entirely accurate.”
Eivydas Pranciulis
Growth
NordVPN
“The answers are very insightful and detailed. Iris also provides historical data and shows how key metrics change over time, helping us understand how competitors adjust their investment strategies and how those changes translate into shifts in our performance.”
Our AI models undergo extensive safety tests and training in sandbox environments before deployment. As technologies evolve, we’ll keep refining our process, always committed to the highest standards of data privacy and security.
We are certified under SOC 2 and ISO 27001 standards, which validate our commitment to rigorous data security and privacy practices.
We do not use any personal data for training our AI models. We train our AI models based on data obtained in aggregated form from Apple Ads and MMPs.
1. Campaign Data
We train our AI models using aggregated data from Apple Ads Management API. Importantly, we do not use the actual text of keywords or associate data with specific campaigns or apps. The model operates on keyword-level aggregates, ensuring that no unique or identifiable campaign settings are used.
2. MMP Data
We utilize aggregated data, such as the sum of specific types of events per day, without associating these aggregates with any particular app or campaign. The way we aggregate this data ensures that in-app events or any other information that could potentially identify a specific user, app or campaign are entirely excluded from our training processes.
3. Market Intelligence
We use aggregated market intelligence data (such as keyword popularity, rankings, and other metrics) from third-party open sources to enhance our services. This data is not linked to any specific competitor insights or individual account data, and it is entirely separate from the data collected via Apple Ads or Mobile Measurement Partners (MMP).
Each account functions as a distinct environment, and all decision-making processes occur within isolated contexts. While we may use aggregated data to train our models, this data is anonymized and cannot be traced back to any specific campaign or user. The model applies its learned insights in a way that does not involve cross-referencing data between different ad accounts.
We are certified under SOC 2 and ISO 27001 standards, which validate our commitment to rigorous data security and privacy practices.
Find answers to the questions we hear most about AI Agents for Apple Ads.
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