🛡️Stability Management Strategy

One of the biggest challenges of dynamic product segmentation is maintaining the stability and performance of campaigns in Google Ads. Although the goal of moving products between clusters (campaigns) is long-term optimization, the movements themselves can, if not properly managed, lead to temporary performance declines. This happens because Google Ads algorithms (especially Smart Bidding) need a certain amount of time and consistent data to "learn" how to optimally work with the new composition of products in a campaign.

Karsa Labelizer is aware of this problem and offers robust tools to manage the dynamics of product movements and thus minimize the risk of destabilizing campaigns.

Why is stability so important?

• Learning phase of Google algorithms: Any significant change in the composition of products in a campaign (or ad group/asset group) can trigger a new learning phase for Google algorithms. During this phase, performance may fluctuate.

• Data consistency for Smart Bidding: Automated bidding strategies work best with stable and predictable inputs. Frequent and extensive changes in the portfolio of products in a campaign reduce its consistency and make AI's job more difficult.

• Maintaining achieved ROAS: The goal is for optimization movements to lead to improvement, not to temporary or permanent deterioration of return on advertising investment.

How does Karsa Labelizer help manage stability?

In Cluster Designer, you have several key settings at your disposal that allow you to precisely define how intensively and under what conditions products can move between clusters:

1. Limitation of the percentage of products being moved:

   • Each cluster can lose at most % of products: Limits how many percent of products a given cluster can "lose" during one update.

   • Each cluster can gain at most % of products: Limits how many percent of products a given cluster can "gain".

   • Strategy: By setting these limits to reasonable values (e.g., 5-15% daily), you ensure that the composition of clusters does not change too dramatically and abruptly. This gives Google algorithms more time to adapt.

2. Time delay before next move (Waiting days before moving product again):

   • Defines how many days a product must remain in a new cluster before it can potentially be moved again.

   • Strategy: A higher value (e.g., 7-14 days) gives the product more time to "acclimatize" and collect relevant performance data in the new environment, reducing the risk of constant "pouring" of products.

3. Limit of change in cluster stabilization value (Limit (in percent) how much can be stabilization value changed):

   • This is an advanced mechanism that monitors a key characteristic of the cluster (the so-called Stabilization value, e.g., the total conversion value of the cluster) and allows product movements only to the extent that this value does not change more than the set percentage limit.

   • Strategy: This is a very effective way to keep the overall character and performance level of the cluster relatively stable, even though individual products in it may change. It prevents the cluster from suddenly losing, for example, most of its conversion value.

Recommendations for stability settings:

• Start more conservatively: If you are unsure, set the limits for movements rather strictly (smaller percentages, longer waiting times). You can gradually release them based on monitoring performance and stability.

• Monitor Product Movement History: This report will show you how often and in what volume products actually move, and what impact this has on their metrics.

• Consider the lifecycle phase of campaigns: For completely new campaigns or after major changes in the assortment, it may be appropriate to have movements temporarily disabled for 2-3 weeks or very limited, as described in Movement Limits.

• Look for balance: The goal is to find the optimal balance between sufficient dynamics (so that segmentation reflects current performance) and necessary stability (to avoid negative impacts on Google algorithm learning and campaign performance).

Thanks to the possibilities of detailed setting of limits for product movements, Karsa Labelizer allows you to take advantage of dynamic AI segmentation while proactively protecting the stability and performance of your Google Ads campaigns.

---

Stability management is a continuous process. Regularly evaluate the settings of your clusterization in light of current performance and don't be afraid to make gradual adjustments to achieve the best possible results.