Chatbots have made a huge difference in conversational marketing. It has allowed businesses to provide a level of service they were unable to before.
While the chat function on websites was a game-changer itself. The challenge was the slow response to customer queries. Indeed for it to be effective, the company needed live chat functionality. It had to invest in a full-time team to manage the job. That means a significant spend on staffing. And the level of customer service depended on how the human agent handled the queries.
Chatbots revolutionized customer service in many ways. Investing in the technology ensures 24/7 access to help whenever customers need it. There is prompt feedback to any questions or concerns.
The bots can also save the company a lot. It does not have to deal with salaries, insurance, or office infrastructure.
AI chatbots are also a powerful marketing tool. They learn customer behavior based on past purchasing history. The bot technology can then provide product recommendations.
Further, the bots collect massive amounts of data that the business can analyze. The insights form the basis of sound decision-making to improve its processes. This latter benefit forms the basis of conversation in this article.
Understanding Chatbot Analytics
What is a chatbot? Chatbots are computer programs that simulate spoken or written human conversation. Customers can interact with the software as they would if talking to a real person.
AI chatbots take it a notch higher by incorporating artificial intelligence. It gives the bots the ability to respond to more complex conversations. By learning behavior, they can personalize the interactions further.
The benefits of these technologies are many. Consider the following statistics in favor of Shopify chatbots:
- Customer engagements with chatbots can raise revenue by up to 40%.
- Shopify stores can reduce customer waiting times for calls and support emails by 78%
- Shopify chatbots can help reduce abandoned carts by keeping up communication with customers. Doing this can increase revenue by 34%
It is possible to arrive at those Shopify store figures through chatbots analytics. That is the process of tracking and analyzing bots’ data to get relevant insights.
Importance of Chatbot Analytics to the Business
Chatbot analytics starts with having the right metrics in place. Let’s look at some significant ones and how they can improve the business.
Total Number of Users
The metric shows how many people are interacting with chatbots. The numbers will let you know how much data you can expect from the bots.
Further, it can give insights into how much of the market you are capturing at any given time. Let’s say the number is very low. It can signify that few people know about the business. That could mean you need to step up your marketing and advertising activities.
Number of Active Bot Users
Active users are those who spend a significant time interacting with the bots. Let’s say you’re running a promotional campaign. It helps to know how many people are seeing the messages. You can then target them with more information about the product or service .
Engaged Chatbots Users
Engaged users are those who receive and send messages. This is the best source for conversation statistics. It lets you know how effective chatbots are. A chatbot that does not start conversation, for instance, is not effective.
Conversation starter bots will ensure people stay longer on your site. Think about it like a salesperson who approaches the customer with chatbot messages. You can achieve much more than waiting for the customer to talk to you first.
Another important metric is the number of total conversations within a specific time, say 24 hours. That looks at entire conversations that ended in a successful conclusion. If, for instance, there are few total conversations, it means there is a problem.
Your chatbot may not be answering the questions to the customers’ satisfaction. That will mean redefining the responses better.
New Users
New users are the best indicator for measuring the success of marketing campaigns. You can know how many new leads you have captured. The sales and marketing team can then pursue them to see if they are hot or cold.
Bot Retention Rates
It helps to know how many people returned to interact with the chatbot within a specific time. The more returnees, the higher the retention rates. It is an effective tool for more targeted campaigns.
You can, for example, offer loyalty rewards or discounts to loyal customers. From their buying behavior, you can send more targeted messages.
High retention rates also allow the business to collect richer customer data. The more time they spend with the bot, the more they reveal about themselves.
But it is important to note that long conversations could also be another problem. The chatbot could be struggling to understand what the customer is asking. Or, the customer may not be finding what they want on your website. Take note of such metrics in conversations to see where the challenge lies.
User Sentiments
User sentiment analytics covers negative, neutral, or positive feedback. It is a crucial step in ensuring that you provide an excellent customer experience.
The insights from user sentiments will let the business know what needs improvement. You can, for instance, collect customer satisfaction scores with a simple prompt. A thumbs up or down or scoring method can yield tons of feedback.
Fallback Rates
AI chatbots, at their most basic, should mimic human communication. But, the reality is they are not human and may fail to understand some of the queries. You may also notice that it tends to pass over many questions to the human agents. If this happens very often, it will impact the chatbots‘ effectiveness in offering a good customer experience.
The fallback rate lets you know whether the bot is meeting its goals.
Leads Generation
Lead generation as a metric is critical for the sales team. Other than customer service, chatbots provide a fantastic way to capture quality leads.
Final Thoughts
Chatbots can change the type of experience you give your customers. But it helps to have the right metrics for data analysis. The insights are critical for ensuring that the bots are performing well. Only then can the bots do what they should, which is to enhance customer care.
