A great framework for this is the customer journey touchpoint model. It’s the idea that instead of seeing a chatbot as one single tool, you should map the path your customers take and deploy specific, small chatbot interactions at key moments to help them. This moves your customer service from being purely reactive to proactive.
The first stage is pre-purchase, when a customer is browsing. Here, the chatbot acts as an expert salesperson. Natasha Takahashi explained on The My Wife Quit Her Job Podcast how to design a chatbot that guides customers through the purchasing journey, answering FAQs and offering personalized recommendations. Instead of a generic “Can I help you?” popup, the bot can ask targeted questions to lead a shopper to the perfect product, turning a search into a conversation.
Next is the purchase stage. This is where you can see a direct impact on revenue. On Ecommerce Coffee Break, Rosie Bailey made a great case for how to improve conversion and AOV with a smart, fun chatbot that can even negotiate on price. Many customers abandon carts because of small hesitations. A chatbot can be programmed to notice that behavior and jump in with a small discount or a free shipping offer to close the sale. Natasha Takahashi also talked about using Messenger bots for cart abandonment recovery, which is a perfect use case for Chatbot Implementation.
Finally, there's the post-purchase stage. This is crucial for building loyalty and efficiency. This is exactly what Bradley Sutton gets into on the Serious Sellers Podcast, where he talks about using bots to handle customer inquiries, order updates, and proactively gather product reviews. Michelle Barnum Smith described this on The Amazon Seller Podcast as a way to build customer loyalty by providing instant answers to common questions like “Where is my order?”. This type of conversational marketing automates the repetitive tasks, which, as Paul Hancox pointed out on eCommerce MasterPlan, frees up your human agents to focus on the complex, high-touch problems that require their full attention.
The customer journey model breaks down when a customer has a truly unique or emotionally-charged problem. A chatbot can’t show genuine empathy, and forcing a frustrated customer to interact with a bot that doesn't understand them will only make things worse. The key is to always have a seamless, clearly-marked escape hatch in every chatbot interaction that connects the customer directly to a person. The goal is efficiency, not a frustrating maze of automation.
