How AI is Transforming Performance Marketing in 2023(Focused on Chat GPT)?
It is difficult to accurately predict how AI will transform performance marketing in 2023, as we do not have have much idea about technologies like chat GPT and other emerging advancements are still evolving. However, we can tell you about some ways that AI has been used to improve performance marketing in the past and how it is going to be change the performance marketing landscape.
One way that AI has been used in performance marketing is to optimize ad targeting. By analyzing data on consumer behavior, AI algorithms can help marketers identify the most effective targeting criteria to use in their ad campaigns.
This can help improve the ROI of the campaign by ensuring that ads are only shown to individuals who are likely to be interested in the product or service being advertised.
AI has also been used to optimize ad copy and design. By analyzing data on which ad copy and design elements are most effective at driving conversions, AI algorithms can help marketers create more effective ads.
In addition, AI has been used to automate parts of the performance marketing process. For example, AI algorithms can be used to automatically bid on keywords in real-time auctions, or to automatically optimize ad spend based on real-time data on the performance of different campaigns.
The Expected Transformation by AI in Performance Marketing are
1. Data Research for targeting Geography and languages
This is an example that i tried with Chat GPT
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2. Research Specific Languages for Ad copy
3. Geo-Optimized Keyword Research
4. Semantic Keyword Curation
5. Finding top competitors in the specific market
6. Language Translation
Overall, AI has the potential to significantly improve the effectiveness of performance marketing by helping marketers make better decisions and automate certain tasks. However, it is important to note that AI is only as good as the data it is trained on, and it is crucial for marketers to carefully consider the quality and relevance of the data they use to train their AI models.