December Insights

By Eve, Artstash Creative · Published 17 December 2025 · Last updated August 2026

Quick answer: December’s pattern was consistency rather than novelty. The best-performing creative was not the flashiest or the most AI-heavy — it knew exactly who it was addressing, opened with a clean confident hook, and did not over-explain. On the data side, non-gaming competition from entertainment, finance and utility apps pushed CPIs up and accelerated creative fatigue on generic messaging. AI earned its place where it cut iteration time and let teams test more angles, not merely produce assets faster.

What Made Creative Work in December?

The best-performing creative wasn’t the flashiest or most AI-heavy. It was the one that:

• Knew exactly who it was talking to
• Opened with a clean, confident hook
• Didn’t over-explain

What Is the Data Showing?

Non-gaming pressure is real

We’re consistently seeing:

• More competition from entertainment, finance and utility apps
• Higher CPIs driven by broader advertizer mixes
• Creative fatigue setting in faster across generic messaging

Where Did AI Actually Help?

This month, AI proved most valuable when it:

• Reduced iteration time
• Helped teams test more angles, not just make assets faster
• Acted as QA, ideation support, and workflow glue

The winning question has shifted from “Should we use AI?” to “Where does it remove the most friction?”

What We Took Away From December

December reminded us that:

• Clear processes outperform heroics
• Remote teams need rhythm, not urgency

Frequently asked questions

What made creative perform best in December?

Clarity of audience, a clean confident hook, and restraint. The winning assets were not the most visually elaborate or the most AI-generated — they knew precisely who they were talking to and resisted over-explaining.

Why are mobile game CPIs rising?

Competition is broadening beyond gaming. Entertainment, finance and utility apps are bidding against game advertisers, which lifts CPIs and shortens the useful life of generic creative messaging.

Where does AI add the most value in creative production?

Where it removes friction rather than just adding speed. The strongest uses were cutting iteration time, enabling more angles to be tested, and acting as QA, ideation support and workflow glue between stages.

Is the right question whether to use AI?

No. The useful question has shifted from whether to use AI to where it removes the most friction in an existing workflow. Framing it as adoption tends to produce tools nobody integrates.