How to scale on Meta in 2026: why creativity has become a lever of performance

With Andromeda, the main brake on growth on Meta is no longer the media budget. It is the ability to produce, test and renew creative.

For a long time, scaling on Meta was relatively simple. When a campaign worked, it was usually enough to raise the budgets gradually, widen the audiences or duplicate the campaigns that performed. The algorithm did much of the work. If your targeting was sound and your budget sufficient, Meta found the right people to show your ads to.

That era is disappearing.

With the arrival of Andromeda and of a new generation of algorithms, the part creativity plays has changed deeply. Today the main brake on growth is no longer the media budget. The main brake has become the ability to produce, test and renew creative. At Sky Show, the arrival of Andromeda called proven creative models into question, and we had to reinvent our approach.

The end of targeting as the main competitive advantage

For years, advertisers looked mainly to improve their audiences. Marketing teams spent their time segmenting, refining their targeting and building ever more sophisticated audiences.

Today, Meta handles much of that work.

Artificial intelligence identifies for itself the users most likely to react to an ad. The consequence is considerable. When several advertisers target similar audiences, it is no longer targeting alone that makes the difference. It is the quality of the signal sent to the algorithm. And that signal is now carried largely by the creative. The visual, the message, the format, the hook, the rhythm of a video become determining factors in Meta’s ability to distribute a campaign effectively.

Creativity is no longer only a brand lever. It becomes a direct lever of performance.

The companies that win learn faster

Faced with this change, one mistake remains very common. Many companies go on producing a few visuals, then wait for the results.

Yet the logic now is different.

The real question is no longer how to find the right creative. The real question is how to build a system able to learn quickly.

For one and the same offer, several angles can work:

The reality is that nobody really knows in advance what will perform best. The market decides. Every campaign therefore becomes an experiment. Every creative becomes a hypothesis. Every result becomes a lesson.

The brands that perform best today are rarely those with the firmest certainties. They are those that learn faster than their competitors.

Why AI changes the game

That is precisely where artificial intelligence changes the rules. Producing dozens of creative variants once meant a considerable investment. Today it becomes possible to explore many more paths in far less time.

AI makes it possible in particular:

• to generate new concepts quickly;
• to vary one message across different angles;
• to create several visual variants;
• to fit campaigns to different markets;
• to speed up the production and testing phases.

The aim is not to replace creatives. The aim is to widen their field of exploration. The best marketing teams do not use AI to produce less. They use it to test more.

The tools matter less than the lessons

Every week, new tools appear. Some generate images, others videos or virtual avatars. The technology moves extremely fast. But in practice, the competitive advantage does not lie in the tool itself. Tools change. Lessons remain. What creates value is the ability to turn the data campaigns produce into sound creative decisions. In other words: understanding why a signal works, before it runs out of breath.

What to take away

For a long time, scaling on Meta meant mostly raising budgets. Today, scaling means raising your capacity to learn. The companies that will succeed tomorrow will not necessarily be those with the largest budgets or the latest technology. They will be those able to test quickly, to learn continuously, and to adapt their creativity to the rhythm of the algorithms. Because in the age of artificial intelligence, growth no longer rewards certainty. It rewards the speed at which you learn.