In this new article from 1win Partners for GMB, the company explores the role of Artificial Intelligence (AI) in traffic arbitration. It shares insights, highlighting how AI can be applied to enhance work efficiency. Given the increasing integration of this technology in professional life, it is essential to understand how it can be utilized in flow strategies and CRM optimization.
Implementation and training of AI
To start using AI, it needs to be trained and the best way is to use ready-made models, loading large volumes of data and testing the accuracy of the responses. However, this requires considerable resources and does not always guarantee a return. A practical alternative is to use tools like ChatGPT, which, when configured with appropriate prompts, helps in process automation, identifying customer "pains," and generating valuable insights.
You might wonder: "why teach the smartest creature on the planet?". It seems nonsensical, but it makes sense, as ChatGPT uses a huge volume of information. Therefore, it is possible to simply use the correct prompt, that is, to properly define the pace and format of communication. This can be done through a simple method of trial and error, that is, interacting for a long time with the neural network.
The tool Chatterfy, for example, enables the integration of AI in Telegram chats and bots, facilitating the creation of automated sales funnels and personalized message flows. Essentially, it is a construction platform that offers different types of ready prompts and a quite complex backend. What you need to do is design a flowchart of how the customer service process will be carried out. This can be compared to a job description given to any manager.
Structuring sales funnels with AI
On average, a classic sales script has at most six elements. These elements can be divided into complementary questions, but this depends on how faithful to the script you want the AI to be.
Currently, AI cannot calculate the probability of lead conversion, as much of the responsibility is on the "buying" (traffic purchasing) side. Looking at global statistics, we can see that, even with identical funnels and scripts, audience behavior can vary. However, AI, through internal analyses, can provide some insights:
* At what point, on average, leads stop responding to messages
* What are the most common questions
* What are the most frequent objections etc.
Based on this information, a sales manager can adjust the scripts to improve the conversion rate.
Challenges and limitations of AI
Although useful, AI is not perfect. Among the limitations is the difficulty in personalizing responses at a human level and understanding emotional nuances. Moreover, its accuracy depends on the quality of the instructions provided, requiring attention to the detailing of commands and objectives. In more complex dialogues or with images, for example, manual intervention may be necessary. Other limitations include the fact that AI does not create new "niche" ideas, such as "what is the best campaign to convert?", relying exclusively on the data provided.
AI and human characteristics
The simplest way to give a "character" to the neural network is to make it simulate being someone. That is, in the prompts, you can indicate that it should act like a stand-up comedian or a salesperson. In previous versions of ChatGPT, this did not work well, which was recognized by OpenAI itself. The new versions understand the instructions well and execute them appropriately.
AI can be configured to mimic certain "human characteristics". Firstly, by using training data that contains examples of texts with typical behavior and emotion characteristics. Secondly, it can apply algorithms that analyze character traits and adjust the AI's responses based on this. Finally, user feedback helps to "tune" the AI's behavior, making it closer to the desired character.
Performance evaluation
One of the biggest advantages of using AI in arbitration is the ability to analyze data. It can monitor the point at which leads lose interest, identifying recurring questions and main objections. This allows strategic adjustments in customer service scripts, optimizing the funnel to improve conversion. However, it is important to remember that AI provides analytical support and does not determine the closing of sales alone.
Strategies to optimize the use of AI
To make the most of AI's potential, it is essential to define clear objectives. The more detailed the instructions for the AI, the better the performance of the tool. In practical terms, knowing learning algorithms and neural network structures can facilitate the creation of effective commands.
AI represents a powerful tool for traffic arbitration. The strategic integration of AI allows for the optimization of processes and personalization of approaches, contributing to more efficient and customer-focused service. To continue exploring the topic, we at 1win Partners, provide updated content on our networks, including voice-chats and discussions on technological trends.
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Source: 1win Partners
