Have you started leveraging AI to market your own apps? Now there are some tools, like App Follow or some other tools, that can suggest AI keywords to you. Once you have the list of keywords, you can build a system using chat GBT to filter out the most relevant keywords for your app. You can then use the API to get a list of 30 to 50 relevant keywords. My tool also adds these keywords to make a title, subtitle, and a comma-separated keyword list.
I have also connected to Apple’s review API to collect all the reviews from the Apple server. With the help of chat GBT, I can automatically respond to the reviews and post them on the App Store. This saves me the manual effort of posting reviews. The AI can even respond in different languages, like Portuguese.
When it comes to conversion rate optimization, every app is different. The same keyword might convert differently for different apps. So it’s important to monitor and analyze the performance of keywords. At the beginning, AI can help in selecting the right keywords. But as you go through later stages, manual monitoring becomes necessary. You can use tools like App Follow to track the performance of keywords and make informed decisions.
For app marketing, I use Apple search ads to drive downloads. I focus on keywords that have a high conversion rate and tap through rate (TTR). I also track the revenue generated by specific keywords using platforms like Tenjin and Conversion. These platforms provide data on which keywords are bringing in revenue and help me optimize my marketing strategy.
In conclusion, leveraging AI in app marketing can greatly improve the efficiency and effectiveness of your marketing efforts. From keyword optimization to review management and revenue tracking, AI tools can provide valuable insights and automate repetitive tasks. By using these tools, you can stay ahead of the competition and drive more downloads and revenue for your apps.
