Why Did Results Collapse?
In January, many companies experienced a so-called โPerformance Dip.โ This happened for three main reasons:
1. Over-control: Marketers tried to manage the new algorithm using old strategies (narrow targeting). As a result, the system got confused and slowed down.
2. Creative Starvation: Andromeda demands variety. If you rotate the same photo for weeks, the system perceives it as a template and stalls it. The new system needs different emotions and formats.
3. Technical Malfunction: This is the most painful part. Andromeda relies on data. If your website is sending incorrect signals (for example, if you don't have a properly set up Conversion API), the system sees nothing.
New: Predictive Modeling (Why "Waiting it Out" No Longer Works)
Another change few marketers are discussing is the transformation of the Learning Phase. The old system needed time and money to figure out if an ad would work. Andromeda uses Predictive Modeling. Within the first few hours, it calculates whether a creative has potential based on historical data.
While bad content could previously run for weeks, Andromeda now kills its potential instantly and prioritizes content with a high Hook Rate.
A Brief Technical Note: The New Standard for Data Transmission
Let's face the truth: no matter how creative our content is, Andromeda still needs to know who is actually buying the product. This is where Signal Integrity comes into play.
Weโve all likely felt that relying on old methods is no longer an option โ browsers are blocking them, creating an information wall between us and the customer. To better understand why this issue has become so acute and the technical processes involved, I recommend checking our blog post on cookies: "What are cookies and why are they important?" โ it highlights the foundation underlying today's changes.