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E-commerce Chatbots: 13 Ways to Increase Sales, Conversions & Retention

Conversion optimization clearly defines the final aim as generating conversions. E-commerce Chatbots: 13 ways to increase sales, conversions & retention.

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E-commerce Chatbots

It is now a well-known fact that 68.89% of online shoppers abandoned a virtual shopping cart for a number of reasons. These reasons have to be big enough to make things go out of your site’s control.

The thumb rule of eCommerce conversion optimization clearly defines the final aim as generating conversions and then revenue for the company.

However, many times, with the abundance of choices and unlimited ways to purchase online things, the conversion flow actually becomes fuzzy.

Sometimes, instead of manifold options, you just need one clear route to guide your customers to the conversion funnel. Enter the world of “guided eCommerce” with conversion and engagement boosting.

E-commerce chatbot is a modern way to guide your eCommerce conversions and retain them for getting repeat sales in the end.

By eliminating the distractions and offering instant resolutions, and can guide your prospects to the place where you want them to be at the final stage of the conversion funnel.

E-commerce Chatbots

1. Facebook chatbot- a brief introduction

The article takes Facebook chatbot as a base to explain the methods. Facebook chatbot or Facebook messenger bot is an AI program integrated by Facebook in its messenger application.

This AI bot uses Natural Language Processing (NLP) and Machine Learning to study human behaviors and learns new ways to improvise its response automatically. In simple terms, Facebook messenger bot is equipped with broader techniques to mimic human intelligence.

This is just a glance. This guide aims at uncovering numerous such affairs, where AI bots not only help in generating new sales but also assist in retaining the existing ones.

Apply these insights into your e-commerce touchpoint and chatbot marketing will do unprecedented wonders for your eCommerce business.

2. User Acquisition with chatbot

In the whole conversion funnel, user acquisition is the most crucial part, where your business comes in contact with the end-users.

You need website traffic and new users to processes them into the next stage conversion optimization. The Facebook bot can make things quite easy by automating a number of tasks that escalate website traffic and user acquisition.

3. Website Live chat

A survey conducted by Kayoko revealed that consumers like more real-time support than traditional live chat experience. With AI chatbots, businesses can cut down a whopping cost spent on traditional live chat software and additional workforce required to attend them.

An eCommerce messenger bot like Facebook messenger bot can offer a better live chat experience to your users with rapid answers, less groundwork minimized errors, and precise data handling.

AI-based live-chat integration can prove to be a prominent remedy is not just customer support but also in sales generation.

4. Content Marketing

Content marketing is an influential phenomenon in itself. Being one of the major sources of organic traffic content marketing can literally help eCommerce websites drive some qualified users to the business website. With AI-powered content marketing, marketers can automate a number of aspects.

By empowering marketers with AI abilities chatbots can present general content in a more personalized way to the users. Hence, one can ensure a definite improvement in content engagement and consumption.

A chatbot can interact with the users who are searching for something particular and present precise content quickly as per requirements.

With smart filtering, the precise information through the chatbots can reinforce a particular content to a qualified lead. Additionally, the data collected by chatbot can boost up your general marketing strategies.

As chatbots learn new stuff, they evolve to understand clients’ desires and preferences and guide to your conversion funnel more accurately.

AI Chatbots

This is how Call of Duty used AI power content marketing while launching their new game Call of Duty: Infinite War.

AI E-commerce Chatbots

5. Social media traffic

The Facebook chatbot is the perfect example of AI chatbots working like charm for e-commerce websites. With Facebook bot working on your live chat, the same AI bot will also help your website generate qualified leads from your Facebook page as well. 64% of Facebook users use Facebook Messenger.

With Facebook live chat integrated on your website, you can directly send communications to the user’s Facebook inbox from your website. Moreover, the Facebook messenger bot can identify a user on your website through their Facebook user account, and present the communications in a micro-personalized manner.

Facebook chatbot
Image source: Socialmediaexaminer

6. Lead generation

With Facebook chatbot, businesses can utilize a new way to drive customer acquisition through their follower base on Facebook and Instagram. They can promote their blog posts on the Facebook page or Instagram profile.

Depending on the quality of the content and exclusive information, the content would soar when bot subscribers are notified for the same. Now, a business can capture a lead from the engagement activities like comments and sharing.

Subsequently, the bot can trigger a related conversation through the messenger. As soon as the person responds, the business meets at least three goals here: Lead, user acquisition, and prospect for sales generation.

Facebook Chatbot Chat

7. Sponsored messages-Facebook Ad Bots

Facebook Chatbot Ads, also called as click-to-messenger Ads, work a little different from traditional Facebook Ads. For example, when users click on a Messenger Ad, they do not go to the landing page. Instead, it triggers the Facebook Messenger bot.

The bot gets immediate access to the users’ profile information such as name, gender, age, time zone, and preferred language. Using the information, the bot can initiate a personalized conversation and guide the user to the conversion funnel.

Sponsored messages-Facebook Ad Bots

8. Conversion Optimization with chatbots

Help diagnose the problem and offer recommendations

Businesses can use bots to offer a self-help portal to the users. Let users state their problems in the form of questions. The bot can identify the issue and send appropriate content to solve the same.

The recommendations and solutions can go in the form of guides, tutorials, video instructions, and a link to a relevant landing pages, etc. With more of the issues being solved through self-help chatbots, users would love the quick support and engage with the business more confidently.

This is how Best Buy offers a self-help portal to its customers through AI chatbot.

Conversion Optimization with chatbots

9. Decision/Purchase Stage-guided selling

A large number of choices sometimes disturb the regular flow in the conversion funnel. Often time, customers get distracted and leave the site without purchasing anything. An AI power chatbot can prove to be a useful asset here by offering a guided eCommerce shopping experience to the users.

The shopping chatbots can identify the customer requirement through questions and quizzes and offer an immediate recommendation. Saving a lot of time, this approach also eliminates an array of disturbances caused with independent shopping.

Decision/Purchase Stage-guided selling
Image source: Neil Patel’s blog

10. Purchasing via Bot

In addition to offering an assistive product recommendation, the sales chatbot can also successfully place an order right from the messenger.

Using web-views for a product page, the sales chatbot can display a personalized view of the product in the messenger with detail such as reviews, product description, and product pictures, etc. In short, the customer need not browse the product page to view these details.

They can directly go to the checkout page and finalize the purchase from the messenger interface only. Moreover, they can also feed the order purchase information and other related notifications such as order status and expected delivery time.

Check out this awesome shopping bot of H&M in Kik’s Bot Shop
Purchasing via Bot

11. Abandoned Carts

AI chatbots can lower the cart abandonment rate by reaching out the customers directly. Moreover, unlike your cart recovery emails, messenger communications do not end up in the spam folders.

A well-integrated e-commerce chatbot can send automatic cart reminders and allow the customers to make a direct purchase within the messenger without moving the user to the website. It is a better option than emails where customers move to the website to complete their checkout.

An e-commerce chatbot ensures a negligible friction and facilitates a dedicated and personalized route for a particular conversion. One can also program chatbots to attach discount coupons to entice the abandoned cart customers.

Doing so can reduce the total abandonment rate and more efficiently, it can also utilize the information to boost further sales while building trust and loyalty through incentives.

This is how Cole Haan combats Cart Abandonment with AI-powered Facebook bot. The messenger bot identifies the situation here and triggers a discount-based offer to attract the user.

Abandoned Carts
Image source: retailtouchpoints

There is one more, an excellent example-
Abandoned Carts

12. Upselling

With lead collection and data analysis, chatbots can boost up the conversion rate by upselling and cross-selling related products. You might have seen many AI-based product recommendations on eCommerce websites and mobile apps.

The chatbots are in fact, capable of providing a much better resolution as they can process the whole database in a lighting fast speed and process that data to offer an extremely micro-personalized product recommendation.

For any reason, even if they do not have enough customer data, they can conduct quick questionnaires to offer a better proposal.

Moreover, eCommerce chatbot can also analyze the purchase histories to recommend similar or complementary products. It is believed at one out of every three customers will buy the upsold item.

Customer engagement & retention with chatbots
Customer engagement & retention with chatbots

13. Customer Support Chatbot

Generating a single new sale is not enough to survive the heat of competition in eCommerce. If you want to take your business to the heights of success, you need to attract repeat sales.

Do you know that a new customer is only 20% likely to make a purchase, while your previous customers possess a 60% chance of making a repeat purchase of the same or other product?

Getting a repeat sale is though not that easy. You need to offer excellent after-sales to do that. This actively involves addressing to after-sales queries, replying as quickly as possible.

While traditional live chat or email support takes a lot of time in receiving, processing, and then replying to the queries, AI chatbots take no time to reply even to the data-intensive queries.

Having a robotic executive looking at your chat support in a 24×7 environment is indeed a working way to boost customer loyalty and repeat sales.

Customer Support Chatbot

14. Messenger Scan Codes

Facebook recently introduced Messenger codes in its messenger app. This feature lets users connect with a particular brand in a relatively quick fashion. Users can scan Messenger scan codes from the app to open a chat directly with the particular brand.

Furthermore, the chats can be handled by the human executives or by an integrated AI chatbot. Snapchat also gives a similar feature. Business can share their direct scan code on their touchpoints, and their customers can directly connect without any hassle.

Messenger Scan Codes
Messenger Scan Codes Chatbots
Image Source: scanova

15. Loyalty Programs

Be it any product, any service, or any business, customers generate an opinion strictly according to the value offered against the price they pay. Brands conduct customer loyalty programs only to ensure higher brand loyalty and enhanced value for the products.

Unfortunately, for 70% of consumers, loyalty programs by brands are nothing but a source of frustration. It is because brands do not understand the relevance of a particular offer for a particular user.

For example, even if you are offering 80% OFF on kids’ wear, a 50 years old user will hardly have an interest in it. The prime issue is customer targeting.

You cannot expect anything less than an extremely targeted approach from AI chatbots. With all those lead generations, data analysis, Facebook profile synchronization, no one can better understand a customer’s need that an AI chatbot.

Based on all these analyses, chatbots can point-out the users easily who would be interested in a particular offer, and trigger a relevant coupon to an appropriate customer.

16. Over to you

Chatbots are futuristic technology. With the advancement in NLP and Machine learning technologies, chatbots are going to automate almost everything in the eCommerce shopping environment.

With multiple applications and higher value propositions, chatbots for businesses are developing into sales teams in themselves. If we consider Facebook Messenger bot, with its roots from the biggest lead generation platform (Facebook), no one knows your customers better than this excellent robot.

You can always trust this bot for adding that extra spice to your customer acquisition, sale generation, and customer retention programs. There are various Facebook Messenger plugins in the market, test them out; if any of them is offering the above-mentioned aspects, you might want to integrate it on your site and mobile application.

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Artificial Intelligence (AI)

How to Apply Artificial Intelligence in Chat Filters

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters. If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation.

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Top 10 Startups In India That Use Ai To Solve Daily Problems

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters.

If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation. A chat filter is a script commonly used in chat rooms for automatically scanning the users’ comments. This process starts immediately after posting the comments, and filters remove or censor inappropriate words. These filters also decide the flow of the chat in a conversation.

Suppose you want to make a Career in Artificial Intelligence. In that case, you should have a strong foundation of statistics and mathematics, one programming language, preferably Python, and the fundamentals of machine learning and its various algorithms. It would help you to start a career in AI.

The people who are already in the AI and related industries can pursue the AI Program Leader. It will help them upgrade themselves to the latest trends and technologies related to AI and machine learning.

Career in Artificial Intelligence Programming

Image Credit: geeksforgeeks

As technology is advancing with time, the application of AI is increasing in every domain. Human beings capabilities like understanding the complexities of various languages, computer vision, speech, and building new intelligent ideas are now possible using AI technology. For that, we have to update with the latest developments in AI and its advanced areas.

Here, we will discuss the application of Artificial Intelligence in chatbot filters.

There are two categories of chat filters used in chat rooms or internet forums – the basic and advanced chatbot filters. The basic bot filters scan only for particular strings of letters and censor them. It doesn’t take care of the meaning of those letters in the context of the sentence.

Advanced chatbot filters examine the letters or words in the sentence context, and hence, their filtering is more sophisticated. Some more advanced chatting filters use a regular expression to find and replace terms in a sentence.

1. Types of Chat Filters

There are five different types of chatbot filter:

Attribute: In this type of filter, you have to create your quality to create a rule.

Lifespan: In this type, the bot acts based on the lifespan value.

Score: Here, we use the confidence score value to choose the response that should allow the bot trigger.

Resolve Query: In this filter, the bot responds depending on the user’s input.

Trigger: Determine trigger to activate bot responses and actions.

These are the different filters that may apply to a chatbot. We can use multiple filters for a single response. A user can see the reactions only if they meet the criteria in the filter.

2. Need for Artificial Intelligence in Chat Filters

Artificial Intelligence changed the way we think about data. It changed the people’s paradigm about how we integrate information and analyze data, and based upon the data, how to improve the decision-making ability of machines. AI is already interfering with our day-to-day life. From Google search results recommendations to Apple’s virtual assistant Siri, we use AI in every aspect of life.

Typically most filters use a binary allow/disallow list, but we know that languages are not binary. They are complex and modulated.

In many older internet forums, some common swear words will be allowed based on context. One can build a regular expression or RegEx tool, and it can filter the string out of terms, but it cannot distinguish between some critical phrases. For that, we need to apply artificial intelligence and natural language processing in creating chat rooms.

3. Application of Natural Language Processing in Chat Filters

In the case of chatbot filters, we use natural language processing. NLP is a sub-domain of AI that deals with the interaction between computers and human language. It helps the filters process and analyses the vast amount of natural language data that results in a machine capable of understanding the available content more clearly.

One can program our chatbots to reply according to the context of the conversation and the data about the user. For example, one may ask the visitor whether he/she is a vegetarian or non-vegetarian and display the menu based upon the visitor’s reply using chat filters.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

In another example, consider a situation where you want your bot to forward registered users to your website and the new visitors to a registration form. Then, we have to create a flow to check if the user is registered or not.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

If a user clicks on yes, it shows him one kind of bot response and if he chooses no, it would lead to a different action. We can implement all this filtering in a chatbot by using NLP.

It is not easy for computers to understand the rules that dictate information passing using natural language processing. Sometimes these rules may be highly complex; for example, when we use a sarcastic remark to convey the message. On the other hand, sometimes there may be situations where these rules may be low-levelled; for example, one can use the character “s” for the plural form of the word.

To comprehensively understand the human language, one needs to know the language and how the terms are connected to the sentence to deliver the desired message.

NLP necessitates the algorithms to identify and extract the natural language rules for converting unstructured language data into structured language data. This is how AI and NLP are applied to chat filters.

Overall, we can say that artificial intelligence can make chatbot filters very easy and efficient. However, the techniques deployed in a particular scenario would vary case by case.

4. Frequently Asked Questions (FAQs)

a. What are the chatbots and chat filters?

Ans: Chatbots are software application for conducting an online conversation between humans and machines. It can be a text-based or text-to-speech-based system and can respond according to the user’s query.

A chat filter is used in a chatbot to censor the inappropriate words or sentences in a chat. Chat filters decide the flow of the conversation based on the user’s input.

b. What are Artificial Intelligence (AI) and Natural Language Processing (NLP)?

Ans: It can learn a specific task by a machine without explicitly programming for that task. AI systems are designed to make decisions by analyzing real-time data.

NLP is a subdomain of AI, specially programmed for interaction between humans and computers. Using NLP, a machine can read, decipher, understand, and make sense of a human language in such a practical manner.

c. How to apply AI into a chat filter?

Ans: Using a particular NLP algorithm, we can apply artificial intelligence into chat filters to smooth the undesirable content in a chat. There are different ways in which we can control the flow of the conversation in a chat room.

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