Google Ads Programmatic Advertising Case Study

More conversions, more efficient costs: How AI optimized Rindchen’s Google Ads

Content

How to boost Google Ads campaign performance with AI-generated customer personas

In many markets today, market share is being fought for with increasingly tight budgets and fierce competition. Therefore, it is crucial to use marketing investments as efficiently as possible. This is especially true for target group marketing. After all, ultimately, it is people who buy, recommend, or criticize something. Those who understand and address their target audience better than their competitors have an advantage.

Personas instead of target groups

Many companies have now replaced traditional target audience models with personas as marketing tools. This is no surprise. Many target audience models are based on rather crude differentiation characteristics, often supplemented by hypothetical information. Personas, on the other hand, are very granular, individual target group representatives with a high information density. This makes them crucial for brand strategy.

Precision makes the difference

The use of customer personas isn’t a sure-fire success. The effectiveness of a persona is directly dependent on the quality of its underlying data. The more tailored and precise the data, the greater the impact along the customer journey. Unfortunately, in practice, the data is often not up-to-date enough, too one-dimensional, or lacks statistical reliability.

Potential consequences: wasted advertising, wasted budget, missed KPIs. Sound persona development makes all the difference!

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Maximum relevance, minimal wastage! This case study shows how the AI ​​persona SYNTHIA optimized a programmatic display campaign – with 19.6% more conversions and 52% of all conversions. Learn how you can use AI to make your display ads more targeted, efficient, and profitable!