The Crowdy.AI chatbot not only automates customer interaction, but also provides companies with detailed analytics of all customer chats. Detailed statistics are available in your personal cabinet, helping businesses to track key indicators, identify weaknesses and optimise the bot’s performance to increase efficiency.
The analytics system provides information on the number of dialogues, average chat duration, bot response rate and frequency of transferring conversations to operators. This data helps to understand how successfully the chatbot solves users’ tasks and identify situations in which it needs further improvement. Analysing frequently asked questions allows businesses to adapt interaction scenarios, improving the response system and anticipating possible customer requests.
The Crowdy.AI chatbot not only analyses text queries, but also takes into account customer behavioural factors. For example, the system records which sections of the site the user visited before starting a dialogue, what questions he asked earlier and what problems he faced. This allows you to adapt communication scenarios, offer personalised solutions and increase the probability of successful interaction. If a customer has already made a purchase or previously left a request, the bot can take this information into account and offer relevant products or services, which makes the communication process more holistic and efficient.
Additionally, analytics can help identify bottlenecks in business processes. For example, if the system records that customers often request clarification of delivery or return conditions, it may indicate that the site is not informative enough. In this case, the company can adjust the content on the web resource or introduce new scenarios in the work of chatbots, which will help to reduce the load on operators and increase customer satisfaction.
Thanks to integration with CRM and other systems, a chatbot can automatically transmit data on leads and closed transactions, generate reports on the effectiveness of interactions and provide recommendations for improving customer service. This approach makes the use of a chatbot not only a tool for communication, but also an important part of the customer service management strategy, helping the company to increase conversion rates and reduce the cost of handling requests.
Access to statistics helps companies not only improve customer interactions, but also increase sales conversion rates. A chatbot can capture potential customers’ conversations, analyze which dialogue scenarios work best, and provide recommendations on how to improve them. If users often interrupt the conversation at a certain stage, this is a signal that it is necessary to adjust scenarios, simplify wording or add new response options.
In addition to analysing current dialogues, the system allows for the study of historical data, which helps predict customer behaviour and adapt service strategies. Companies can track seasonal changes in demand, identify peaks in demand and prepare for them in advance. This is especially useful for businesses operating in areas where responsiveness and fast processing of requests are important.
Real-time reports allow you to react instantly to changes in user behaviour and adjust the bot’s work without delays. If a chatbot records an increase in requests on a particular topic, the business can quickly update the knowledge base or make adjustments to communication scripts. This makes the chatbot’s work more accurate and adaptive, reduces the workload on employees and increases customer satisfaction.
The use of analytics can significantly improve chatbot performance and enhance customer service quality. Companies get tools for flexible system customisation, which helps not only to automate interaction, but also to make it as efficient and user-friendly as possible. The Crowdy.AI chatbot becomes not just an assistant, but a full-fledged tool for analysing and optimising business processes.