ChatGPT and other AI chatbots have captivated the world with their uncanny ability to generate essays, poems, and other texts. This article will discuss the 10 most important metrics in chatbot analytics.
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That means it will only count customers who performed that specific action. Yet, they share the same methods for increasing chatbot session triggered. Response rate counts any form of user interaction as engagement. For example, you may consider the number of people who received a discount code from your chatbot.
For example, a high click-through rate is not advisable for troubleshooting because it shows you are having constant problems. On the other hand, low CTR for your promos means your chatbot isn’t promoting them well.You can increase your click-through rate by improving the conversation flow. On the other hand, rewriting the bot messages may boost engagement.
If these apply to you, revise your chatbot conversation flows. Alternatively, implement an AI chatbot like ChatGPT that understands complicated statements. Note that using an AI bot also requires regular updates.This chatbot analytics metric measures the distribution of conversations among the days of the week. For example, you may notice more chatbot conversations during weekends.
Moreover, you may link your eCommerce platform so that people use it within the bot. For example, integrate Shopify so that people place an order and confirm purchases on your chatbot. As a result, you ensure clients keep the bot active for longer periods.The dwell time measures how long users stay on the site. Meanwhile, the bounce rate determines how many pages they visit via the chatbot. Your chatbot compliments your website, so high dwell time is a sign the former helps keep online visitors.
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