Growth teams don't have a talent problem. They have an allocation problem. When 60–70% of the week goes to pulling reports, adjusting bids, and rotating creatives, strategy never makes it onto the calendar. Here's what changes when agents take over the execution layer.

Every few years a new ad platform forces growth teams to rethink how they spend. OpenAI entering advertising isn't just another channel — it's a fundamentally different intent signal. Here's why mobile UA teams should be building their positioning now, before CPMs normalize.

Appvertiser AI deploys autonomous AI agents that automate user acquisition, ASO, creative testing, and analytics for mobile app publishers — reducing CPI by 35% and campaign management time by 70%.

The ranking engine behind Meta, Google, and TikTok ads is undergoing its biggest architectural shift in a decade. LLMs are entering the stack — and most app marketers won't notice until their playbooks stop working. Here's what's changing, and how to stay ahead.

The app store algorithm has shifted. In 2026, CVR signals and testing velocity determine rankings — not keyword stuffing. Here's what changed and how to adapt.

Low-code AI agents are everywhere — but most break in production. Here's what separates prototypes from the systems that actually scale app marketing.

Your App Store listing is not a page — it's a channel. The teams winning in 2026 run 15–20 keyword-matched Custom Product Pages, deep links that eliminate post-install friction, and In-App Events that keep their app visible to lapsed users. This is the full playbook, and the window to build a compounding lead is now.

AI agents don't replace growth marketers — they eliminate the repetitive work that limits them. Here's how the AI + human hybrid model works in practice, with real data from our team.

Automation agents and intelligence agents serve fundamentally different purposes. Understanding the difference is the key to building a growth stack that actually scales.