Leveraging AI in your Ad Copy
Artificial Intelligence (AI) has come a long way in recent years, and it has now become possible to use it to write ad copy, product descriptions and more. AI algorithms can analyze data, identify patterns, and generate unique content based on that information. This makes it easier for marketers and businesses to create compelling and effective advertisements without the need for much manual writing.
Here are some ways that marketers can leverage AI in writing ad copy:
Personalization: AI can analyze customer data such as purchase history, search behavior, and preferences to generate ad copy that is personalized to individual customers. This can help to increase relevance and engagement, leading to higher conversion rates.
Predictive Writing: AI algorithms can predict the type of language and messaging that is most likely to resonate with specific customer segments, making it easier to create effective ad copy that appeals to target audiences.
Data-Driven Insights: AI can process large amounts of data from customer interactions, social media, and other sources to generate insights that can inform ad copy and messaging. This can help marketers to stay ahead of the competition and create more effective ad campaigns.
Automated Testing: AI can generate multiple versions of ad copy and product descriptions, making it easier to test and compare different variations to determine the most effective copy.
Consistency: AI can help to maintain consistency in language, tone, and messaging across multiple ad campaigns and product listings, ensuring that all communications are in line with brand guidelines.
One of the AI tools we’ve been experimenting with is ChatGPT from OpenAI — it’s a nifty tool that has been getting a lot of press lately. Below you’ll find some examples of how we use it for our clients.
ChatGPT Use Case: Writing Google Ads descriptions for one of our skincare brands
Based on our knowledge and familiarity with the brand and products, these are the 7 Google Ads descriptions we came up with:
We asked ChatGPT to ‘Write 7 Google Ads descriptions for Doris Day MD skincare line’ and this is what it came up with:
Our Findings
The AI generated descriptions are pretty good! The tone is on-brand for our client. We also noticed that the AI descriptions included solution-oriented language (e.g. ‘say goodbye to fine lines & wrinkles’ and ‘revitalize your skin with Doris Day MD’s powerful ingredients’).
The more information you give ChatGPT, the better the descriptions will be. So we gave ChatGPT more context to work with. We asked it to ‘write 3 Google ads descriptions for dermatologist developed anti-aging skincare line that uses skin-healing formulas for visible results’.
This is what it came up with:
The copy is still on-brand for Doris Day MD, but the descriptions are far too long for Google Ads (character limit is 90 for GAds descriptions). But overall, the descriptions are good (they even include CTAs)!
Conclusion
While AI has the potential to transform the way ad copy is written, it is important to remember that it should not replace the creativity and critical thinking of humans. The best results are achieved by using AI as a tool to supplement and improve the work of humans, not replace them.
AI has the potential to revolutionize the way ad copy is written, making it easier for marketers to create effective and engaging campaigns. By leveraging AI, marketers can reach and convert more customers and stay ahead of the competition.