Increase Engagement to Increase Sales in E-Commerce with AI

Increase Engagement to Increase Sales in E-Commerce with AI

According to research in the subject 86% of customers are willing to pay more for a great experience. Intuitively this makes sense, since humans enjoy being treated as we're special. Great customer service, AKA engagement, makes us feel good about ourselves, resulting in a higher price tolerance.

A couple of days ago we had a new client apologising for asking us for help. We smiled at him and said: "This is our service, we work with you until you're happy. This is what you paid for. No reasons to apologise, this is our job." Needless to say but this results in loyal customers, super happy with our service, willing to pay for it.

Automate Engagement

For us going the extra mile is easy. We're a subscription based SaaS vendor, and we spend a lot of time up front to ensure client satisfaction, with the idea being that it'll pay in the long run. For others this isn't possible. If you're operating an E-Commerce site drop shipping t-shirts, you obviously cannot spend 5 hours with each client every time somebody buys something from you, or can you ...?

When ChatGPT went viral 1 year ago, it rapidly became apparent that users have difficulties separating the chatbot from a human being. People would ask it for advice, use it as a shrink, treat it as a colleague, etc. We'd see this in our own chatbots by how some of our users would even say "thank you" to our chatbot after it had given them an answer. The line between the human being and the chatbot became increasingly blury over time ...

This allows "you" to literally spend 5 hours individually with every single customer that visits your site, without needing to hire a single human being. Because the AI chatbot does that job for you. Having your chatbot explicitly identify as an AI chatbot doesn't change this either. The human brain will basically "fill in the gaps" resulting in happier users.

Destination websites

Traditionally E-Commerce vendors have applied this by creating content. If you've got a website selling natural sugar substitutes for instance, you might want to publish recipes for cookies and food using your own product. This results in users randomly coming to your site by doing a Google search, ending up buying products from you, because they found a great recipe they were looking for.

The article you're reading is one manifestation of this. I want to teach you some facts about user engagement and its importance. This is a "free service" we're giving, and in return some of you might end up purchasing a professional AI chatbot. The cost for us is neglectable, while the potential upside is more sales and more search engine visibility, leading to more revenue.

In addition, it creates a bond between me and you reading this article, because I shared my knowledge with you for free, allowing you to feel as if you "know me" and that I "gave you something of value". Tomorrow our chatbot will even be able to answer questions related to this article, such as illustrated below.

The above synchronisation job happens automatically of course, since our AI chatbot is configured to automatically crawl and scrape our website once every day - So I don't have to do anything to add this knowledge to our AI chatbot. The process is 100% automagic.

This allows us to leverage our existing content automatically, and use it as a foundation for teaching our chatbot new things through blogs and articles, resulting in our chatbot becoming able to answer questions about recent events and information. There are no changes to your existing routine, and you can just continue doing whatever you did before we installed your chatbot.

Hence, by adding an AI chatbot to your existing website, you can further increase engagement, resulting in more conversions and more loyal customers.

Destination examples

We've got several clients that are using the above "trick" to increase engagement. The example with the cooking recipes should be fairly obvious, but we've got other clients doing similar things. For instance, one of our clients is running a print shop. They wanted a chatbot that displays historical information about printing. For us this was a no-brainer, and we accomplished it by scraping WikiPedia pages and other publicly available sources related to printing.

This allows their customers to use a conversational user interface to ask open ended questions about the history of printing, resulting in them becoming "a destination for printing information".

Another example is a real estate client of us in a tourist area wanting to add general information about the area as an additional extra service. This allows tourists to ask questions such as "what's the most popular beach here" and "where can I go nature hiking", etc. Some of these might be looking for a rental apartment, resulting in more revenue for the company providing the chatbot.

With an AI chatbot such as ours you can easily leverage your existing content, or additional content, such as information from WikiPedia or public sites, to increase customer engagement, resulting in more sales and more loyal customers. It's basically a "no-brainer", since all the information already is there.

This results in that 86% of your visitors becomes willing to pay more for your services and product. Now you know the science behind this. All you've got to figure out is how to provide such extra content yourself, and what AI chatbot to use to accomplish it. If you want us to help you with this, we'd of course be willing to help you. Because after all, this is what we do, and if you're happy we're happy.

Our business is literally making sure you're happy, and more importantly your customers are happy! This is literally our business plan! And this results in 86% of your customers becoming willing to pay more for your products and services!

Psst ... 😉

Example of AI chatbot answering questions from our article

Thomas Hansen

Thomas Hansen I am the CTO of AINIRO.IO AS. I am a software developer with more than 25 years of experience. I write about Machine Learning, AI, and how to help organizations adopt said technologies. You can follow me on LinkedIn if you want to read more of what I write.

Published 4. Feb 2024