Blog
Thoughts on growth systems, growth engineering, and AI-powered growth—from the Exp(G) team.
Cost per install keeps climbing across Meta, TikTok, and Google. Here’s the playbook we use to cut CPI by 30–40% for consumer apps—creative velocity, audience structure, and post-install signal.

AI video tools have made high-volume UGC-style ad production possible without shoots or creator marketplaces. Here’s our production pipeline—and where human judgement still decides what wins.

Most apps don’t have a creative problem—they have a testing problem. This is the exact framework we use to reliably find a winning ad within 60 days: structure, budgets, kill criteria, and iteration.

ASO in 2026 is less about keyword stuffing and more about conversion assets, custom product pages, and the loop between paid traffic and store conversion. Here’s what’s working now.

Paid gives you speed and control; organic gives you margin and durability. Most apps get the mix wrong for their stage. Here’s a framework for balancing paid UA, ASO, content, and virality.

We’ve built and patented a system for dynamic text rendering that powers non-linear, real-time content delivery—and why it matters for growth.

We go deep into client teams and product—as part of your team. We initiate growth points monthly, align, then execute; we can also help build your team. Here’s how it works, and one success story: Novum Studio.

One-off campaigns don’t scale. Here’s how we think about growth as a system—metrics, tooling, and team structure.

AI is shifting growth from one-off experiments to always-on systems. We look at how to use it without losing rigour.

Growth engineering sits at the intersection of marketing, product, and engineering. Here’s how we define it and why it matters for scale.
