How to Use AI Chatbots to Drive Customer's Engagement
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The document outlines various applications of AI chatbots in enhancing customer engagement and improving internal processes. Key functionalities include automated customer support, lead generation, product inquiries, and employee interactions, while predicting future advancements like natural language processing and cross-channel integration. Additionally, it highlights the importance of ethical practices in data collection, training, and privacy to maintain user trust.
How to Use AI Chatbots to Drive Customer's Engagement
- 1. How to Use AI Chatbots to Drive Customerâs Engagement
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- 4. ⏠General Intro ⏠Presentation ⏠Q&A Agenda
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- 6. 08. Social media listening 09. Social publishing 10. AI chat bots 11. Cross-channel Analytics 12. Pipeline management 13. Calendar booking 14. AI assistant and ChatGPT Plugin 01. Landing pages 02. Advanced payment forms 03. Popups and site messages 04. Powerful lead tracking 05. Visual marketing automation 06. Predictive email campaigns 07. AI content generation 14+ Core Tools Working Together
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- 8. ⏠General Intro ⏠Presentation ⏠Q&A Agenda
- 9. Ways to Use AI Chatbots in Marketing
- 10. Automate Customer Support ⢠AI chatbots provide instant answers to customer inquiries and FAQs. ⢠Enhance customer service by offering 24/7 support in multiple languages. ⢠Improve customer satisfaction through quick and accurate assistance. ⢠Can be trained on your own knowledge base and data sources. Source: VBOUT
- 11. Turn Your APIâs Into Prompts ⢠AI chatbots can be trained on your API endpoints. ⢠Create an authentication process and allow prompts to API connections. ⢠Turn your traditional platform UI into ChatGPT like interface. ⢠Leverage AI models to create, personalized, engaging and rich product experiences. Source: VBOUT
- 12. AI Enabled Calendar Booking ⢠AI chatbots allow appointment scheduling and calendar booking through chatbot interactions. ⢠Streamline lead generation and conversion efforts. ⢠Eliminate the need for the back and forth to book appointments. Source: Haseeb Codes AI
- 13. Ecommerce: Inquiring Products & Services ⢠Use chatbots for product recommendations and answering inquiries about products and services. ⢠Assist customers in making purchase decisions and navigating through the online store. ⢠Remind customers about their abandoned carts and offer incentives which boost conversion rates. Source: Writesonic
- 14. Improve Employee Interactions ⢠AI chatbots can access and provide information from a companyâs database to its employees. ⢠Retrieve data, answer queries and perform data-driven tasks like onboarding and HR filing. ⢠Improve internal efficiency and knowledge sharing within the organization. Source: Actionbot
- 15. Lead Generation and Qualification ⢠AI chatbots play a critical role in lead generation and qualification processe. ⢠Gather main information from web visitors such as contact details, preferences and buying intent. ⢠Chatbots can automate lead qualification by asking relevant questions and scoring prospects based on predefined criteria. Source: DALL-E
- 16. Customer Feedback and Insights ⢠AI chatbots can be a valuable tool for collecting customer feedback and insights. ⢠Examples of gathered information are product enhancement suggestions and market trends. ⢠This allows you to make data-driven decisions, improve your marketing strategies, and design better product/services based on actual customer feedback. Source: ChatBot
- 17. AI Browser Extension Bot ⢠In-browser extension bot thatâs designed to improve productivity and efficiency. ⢠It assists users in their day-to-day tasks and supercharges your browsing experience ⢠Users can perform numerous functions on the same page and create automations.
- 18. Future of Chatbots in AI Marketing
- 19. Enhanced Natural Language Processing (NLP) ⢠Improvements in NLP will make chatbots more sophisticated in understanding and processing human language. ⢠This will lead to more natural, conversational interactions, making chatbots almost indistinguishable from customer service agents in terms of communicationâs quality. Source: Tidio
- 20. AI Avatars and Voice Assistants ⢠AI chatbots will become more integrated with voice assistants like Alexa and Siri. ⢠AI chat avatars will add a human element to the chat component. ⢠This allows customers to engage with businesses through voice. ⢠With AI models getting better with visual recognition, depth and emotions, human like bots will become the internet standard. Sources: geekbot, chat.d-id.com, meta
- 21. AR and VR ⢠Augmented and virtual reality will be great technological additions to AI. ⢠This enables customers to interact with businesses in an immersive way. ⢠PONDâS a skincare brand, uses a combination of AI, AR and skin diagnostic technologies to help consumers solve skincare problems. Source: Marketing-Interactive
- 22. Cross-Channel Integration ⢠Building a seamless experience across different marketing channels and touch- points empowers your marketing efforts. ⢠AI chatbots can be integrated into multiple channels such as websites, social media networks, messaging apps, email, and voice assistants. ⢠This allows you to reach a wider audience, improve brand recognition, maintain a constant messaging and customer support. Source: DALL-E
- 23. Chatbot Privacy Risks and Ethical Data Practices
- 24. Data Collection without Consent ⢠Too often, chatbots start gathering personal user data without obtaining opt-in consent first. ⢠Users should always be clearly notified when a chatbot engages with them and given an option to share their data or not. Source: Inteliwise
- 25. Sensitive Data Overcollection ⢠Some chatbots collect excessive user data beyond whatâs needed for their main function. ⢠For example, a weather chatbot doesnât need access to a userâs browsing history. ⢠Collect only the necessary data that goes in line with the chatbotâs purpose.
- 26. Lack of Proper Training ⢠Chatbots without adequate training can lead to issues like inaccuracies, inconsistencies and potentially harmful outcome. ⢠Developers should prioritize ethical and responsible bot development, including user testing and feedback gathering to identify training gaps. Source: Tidio
- 27. Lack of Encryption ⢠Failure to encode stored chatbot data makes it open for interception and theft. ⢠When data is fed into AI models, itâs critical to encrypt and protect this data to avoid unauthorized access, breaches or leaks. ⢠This requires to develop robust encryption methods, secure storage practices and access controls to maintain the confidentiality of sensitive data during the AI model training process. Source: Open Access Government
- 28. Absence of Data Deletion Mechanisms ⢠Lack of user data control can erode trust in your brand. ⢠Prioritize data privacy: Enable your customers to delete data via chat. ⢠Develop secure chatbot mechanisms for data deletion. ⢠Ethical responsibility: Respect user privacy and delete data post-interaction. Source: WeSeeNow
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Editor's Notes
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- #13: VBOUT decreased human to human support tickets by 14% in 12 months by using an AI chatbot that is trained on the companies internal documentations.
- #14: Benefits of leveraging prompts with AI chatbots: Boost creativity: Get inspiration for content creation and campaign ideas. Time-saving: Speed up the content creation process with AI-generated prompts. Data accuracy: Ensure accurate and organized contact lists through guided prompts.
- #15: AI-powered chat help customers book appointments in an effective way. By providing the bot with the date and time of booking, besides details like name and email, it can easily book demos on behalf of customers.
- #16: Chatbots offer a wide range of options for ecommerce businesses. Beside all the aforementioned, it help guides shoppers through their product catalogs, upsell based on analyzng customer preferences and past purchases. It also helps in cross-selling by suggesting complementary products Chatbots also go beyong the purchase stage to include post-purchase. This is done by ensuring a good after-purchase experience, encouraging customers to come back and purchase again. It also helps gather feedback and insights. It can also inform customers about delivery delays, provide order status updates, handle replacement requests and process refunds.
- #17: Omantel and TUATARA: These companies used AI chatbots for internal purposes, especially during the transition to remote work due to the pandemic. The chatbots provided information on company structure, contact details, affiliate programs, career planning, and advanced IT services. This helped reduce the workload of HR representatives and IT Helpdesk officers, indicating the efficiency of chatbots in improving internal operations and knowledge sharing within organizations (Actionbot).
- #18: MongoDB is a document-oriented database, which means it stores data in JSON-like documents with dynamic schemas, unlike the traditional table-based relational database structure. They experienced a significant increase in new leads by implementing an AI chatbot system. Their chatbot, powered by Drift, helped increase new leads by 70% in just three months. By automating lead-qualifying conversations and scheduling processes, MongoDB was able to have more conversations and turn them into leads more efficiently. This case study demonstrates the ability of chatbots to enhance customer interaction and internal business processes, contributing to the overall growth of the company (Overthink Group).
- #20: For instance, HARPA gives you all responses needed for your searches, right on the same page, summarizes pages content, PDFs, generates blog posts, social media posts, translates to other languages, converts YouTube videos into blog posts, inject keywords for SEO, etcâŚ
- #22: Improvements in NLP will make chatbots more sophisticated in understanding and processing human language. This will lead to more natural, conversational interactions, making chatbots nearly indistinguishable from human customer service agents in terms of communication quality. One of the examples is âImproved multilingual supportâ: Future chatbots will not only support multiple languages but also handle code-switching (switching between languages within a conversation) seamlessly, a common feature in human conversation. Another example is sentiment analysis which detects subtle cues in language that indicate a customer's mood or emotional state, allowing for more empathetic responses.
- #23: Netomi is an AI-powered platform for creating advanced conversational chatbots that can resolve customer support tickets in text chat, voice chat, and email. Using its Natural Language Understanding (NLU) engine, Netomi claims to resolve over 70% of customer queries. https://arstechnica.com/information-technology/2023/09/meta-launches-consumer-ai-chatbots-with-celebrity-avatars-in-its-social-apps/
- #24: Skincare brand PONDâS launched an AI-enabled skin-diagnostic chatbot called SAL, available in Indonesia via messaging app, LINE and Argentina, Columbia, UAE, and South Africa via Facebook Messenger. SAL leverages a combination of advanced AI, AR, and skin diagnostic technologies to help consumers solve skincare problems across four significant areas â uneven skin tone, spots, pimples, and wrinkles.
- #29: Domain-Specific Training: If the chatbot is designed for a specific industry or domain (e.g., healthcare, finance, customer support), ensure it receives specialized training and access to relevant domain-specific databases and knowledge sources.
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