mediumSplitMetrics Blog·June 8, 2026

Who Killed the Dashboard? From OpenAI to OpenClaw & Iris

You have the power to take your team out of the campaign hamster wheel and scale performance beyond what was previously possible.

Join a practical session on how AI agents are changing app growth workflows: from manual reporting and static dashboards to real-time analysis, continuous decision loops, and AI-assisted optimization systems.

Based on 4 years of hands-on work across the AI stack, SplitMetrics experts will break down:

what marketing tasks can be actually fully autonomous today,

how modern AI agent systems are structured,

where AI workflows still fail in practice,

and what it takes to make this work inside a real growth team.

You’ll also get a behind-the-scenes look at Iris – an AI agent system built for Apple Ads optimization using real-time market signals, orchestration workflows, and proprietary growth intelligence.

UA teams now manage more campaigns, more market signals, and more optimization decisions than humans can realistically process manually.

What actually makes an AI agent useful?

We’ll show how systems like OpenClaw and Iris work behind the scenes: from orchestration and decision loops to domain-specific agents & data pipelines.

What happens after dashboards?

From AI-assisted analysis today to autonomous optimization systems tomorrow. And what this shift means for marketers, founders, and growth teams.

General Manager & Co-founder of App Radar by SplitMetrics 20+ years in digital marketing and 50+ launched apps and games

Andrey Rekalo

Director of Data & AI at SplitMetrics 7+ years leading the AI R&D team, PhD in Math, AI patent holder

Escape the Campaign Hamster Wheel

Join fellow marketing nerds and growth operators for a practical look at what already works today, and what’s coming next.

SAVE YOUR FREE SPOT

Key Insights

1

AI agents are transforming app growth by enabling real-time analysis and autonomous optimization.

2

Tools like Iris can significantly enhance campaign management and optimization decisions in UA teams.