Since the original purchase of my first PowerBook G3 in 1998, several significant technological moments have changed the world. The most recent event was the public beta of OpenAI’s GPT-3. It has sparked millions of people’s interest and signals that we are transitioning into The Age of Intelligence.
GPT stands for Generative Pre-trained Transformer. It is a deep learning algorithm that uses artificial intelligence to generate natural language text. GPT models are pre-trained on large text datasets, allowing them to create coherent and relevant text in response to prompts or questions.
LLM stands for Language Model. It’s an AI model trained on a large corpus of text to predict the probability of a given sequence of words or characters. LLMs are used in natural languages processing tasks such as classification, sentiment analysis, and language generation. GPT is a type of LLM designed explicitly for natural language processing tasks.
OpenAI, Google, Meta, and Microsoft heavily invest in AI products. Consumers are inspired by their power but concerned about their safety mechanisms and how these companies will monetize their personal information. On the other hand, Apple is not the first to market, yet quietly positioned to dominate. With privacy at their core values and control over both hardware and software, they are poised to drastically reduce the cost of training models and distribute them to every iPhone, AirPods, and iWatch in a customer-friendly way.
Apps will become hyper-personalized and more easily integrated into your everyday life. We’ll be able to distribute content in a new, dynamic, and engaging way. We no longer search for a term and get a list of web pages to read. We’ll now be able to interact with intelligent Siri and get personalized answers. Newsfusion article clusters provide users with different points of view. In the future, thousands of articles will be consumed by AI, and Siri will act like our personal concierge.
Fitness apps may know us better than we know ourselves making meal and workout plans custom to our needs. But that is just the start; Siri will be that high-priced personalized coach that motivates and trains you.
Dating apps will inevitably recreate the movie “Her” with Joaquin Phoenix and Scarlett Johansson.
Her Official Trailer #1 (2013) - Joaquin Phoenix, Scarlett Johansson Movie HD
Immediate Impact on App Marketing
Today App Marketers can utilize GPT to understand their customers and product better. It also provides writing assistance for Metadata, customer reviews, and the app store review process. Here are a few use cases I came up with over the past month.
When Loyal acquired a fasting app, I realized I knew little about fasting and its health benefits. However, with the help of GPT, I could quickly gain knowledge about the subject without spending hours reading books or scouring the web. I also gained insight into my customer’s frustrations and pain points, which allowed us to create more impactful creative.
For example, you can ask GPT to list customer frustrations, customer values, or popular search terms related to your app’s topic. Here are a few questions you might ask GPT
- Can you give me a brief introduction to fasting and how a mobile app can help?
- As the owner of a Fasting app, my customer avatar may have what frustrations?
- Give me five bullet points on the app’s customer value.
- What are the top search terms people may use when looking for a fasting app?
Moving past the discovery phase, you can rapidly develop ASO and creative copy. Here are a few examples.
- Act like an app marketer and suggest five app names that contain top search terms.
- Act like an app marketer and write a description, keywords, and promotional text (max 170 characters)
- Now translate that metadata into Spanish, Japanese, Portuguese, and French.
GPT can also improve your ability to communicate with customers and app reviewers. Effective communication requires understanding your audience and adapting your message accordingly. GPT can adjust the tone and language. For example, when responding to customer feedback about app crashes, GPT can generate a thoughtful and empathetic response that includes conditional logic, such as directing users to a refund support article if they request a refund. Similarly, when responding to an app store rejection message, GPT can generate a persuasive and professional message using language appropriate for a legal context. These tools can help ensure your communications are tailored to your specific audience, increasing the likelihood of a positive outcome.
For example:
Customer Message: This app keeps crashing
Act like an empathetic customer support agent and respond to the customer feedback
or
App Store Rejection Message: Your app is in violation of Guide 4.3 ….
Act like a lawyer and respond to the app store rejection message that our app is not generated from a template because of XYZ.
In conclusion, we stand at the cusp of a transformative era, the Age of Intelligence, where AI will become ubiquitous in our lives and businesses. With groundbreaking advancements such as the Alpaca GPT model from Stanford, which delivers comparable results to OpenAI but with significantly reduced training costs, the democratization of AI is well underway. As we continue to innovate and push the boundaries of what's possible, we can look forward to a future where AI technologies will shape and enhance our daily experiences in ways we've yet to imagine.
By Jonathan Spooner / spooner@loyal.app
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