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您的客户服务中考虑的4种聊天机器人类型

2024-03-28 07:11:56
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您的客户服务中考虑的4种聊天机器人类型

未来已经到来!聊天机器人技术已经超越了简单的指令,并发展成为一种强大的客户服务工具。了解4种聊天机器人类型,并为您的客户提供独特的自动化体验。

一切都始于这个问题:“什么是客户服务聊天机器人,我为什么需要一个?”数字化的普及导致了一种客户服务聊天机器人的发展,它是自动化的,并可以在不同的接触点上执行简单而重复的任务,以解决基本的客户问题。持续改进客户服务至关重要,通过聊天机器人,您将能够在您的网站和移动应用程序上构建强大的客户支持体验。

根据Businesswire的调查,香港、新加坡、印度、日本和韩国的调查受访者中,66%的人了解聊天机器人,并有85%的人在2021年使用了聊天机器人服务。使用客户服务聊天机器人最终有助于企业节省时间,减少客户支持团队的支持量,并提高客户体验。让我们来了解更多关于增强客户服务的4种聊天机器人类型:

1. 脚本式聊天机器人

客户支持和营销中较常见的一种聊天机器人是脚本式聊天机器人,它可以与客户进行简单的对话。当用户发送一个客户服务查询时,聊天机器人将用预定义的脚本进行回复。如果对话超出了聊天机器人的脚本范围,机器人可以请求更详细的信息,并将客户连接到可以提供帮助的实时客户支持代理人。

脚本式聊天机器人在小型到中型企业中很受欢迎,这些企业通常不会收到复杂的问题。虽然这些类型的聊天机器人功能有限,但它们可以帮助解决常见的请求,如退换货请求,并引导用户完成客户旅程。它们也可以快速添加到您的网站上,以减少客户服务部门的时间和劳动成本。

2. 对话式人工智能聊天机器人

多年来,人工智能(AI)已经应用于多种类型的聊天机器人。然而,对话式聊天机器人更加先进,结合了AI技术、机器学习和自然语言处理(NLP),提供了出色的客户服务体验。

NLP聊天机器人实际上可以“理解”客户的问题和回答,并让客户感觉在与一个人交谈。借助这些先进的技术,机器人处理每个句子中使用的单词,分析上下文,并更好地理解问题。然后,它可以应用这些知识来解决问题。

与简单类型的聊天机器人不同,对话式AI聊天机器人基于上下文操作,而不仅仅是关键词,因此它们能够理解人类对话,甚至能够处理其他机器人可能会忽略的拼写错误。这些类型的聊天机器人通常记录每次对话,以提高由AI提供支持的聊天机器人的能力,所以每次对话都比上一次更好。许多组织使用对话式AI聊天机器人来提升他们的客户体验战略。

3. 基于菜单/按钮的聊天机器人

顾名思义,这些类型的聊天机器人为用户提供了几个选择,通常以菜单或一系列按钮的形式呈现。一旦用户选择了最适合他或她问题的选项,机器人就会提供另一组选项,以此类推,直到解决查询或将其转交给客户服务代表。

由于它们的简单性,基于菜单和按钮的聊天机器人是最常见的聊天机器人类型之一。这些机器人通常使用共享的知识库来回答预定义的查询或帮助用户导航网站。然而,一旦请求变得更加复杂,聊天机器人将无法继续进行。

使用这些类型的聊天机器人时,组织应进行编程,以提供多种联系客户服务团队的选项,以便在用户的查询无法立即解决时避免任何失望或挫折。这可以帮助避免用户的不满。

4. 基于关键词的聊天机器人

基于关键词的聊天机器人识别查询中的关键词和短语,将它们与预先编写的响应进行匹配。这些类型的聊天机器人可以轻松配置,只能以已批准的知识库中的内容进行响应,通过自动化消息传递创建更一致的客户服务体验。

然而,这些类型的聊天机器人仅限于预定义的关键词和短语,因此如果用户拼写错误或使用更自然的语言,机器人将无法理解查询。基于关键词的聊天机器人高度依赖上下文,因此组织需要更新聊天机器人的响应,以适应其产品和服务的变化。

使用CM.com的聊天机器人生成器提供优质的客户支持

如今,客户期望能够快速解决他们的问题,而聊天机器人的全天候可用性使任何组织都能实现这一目标。客户体验是您的业务成功的关键组成部分,因此投资于支持客户的合适工具至关重要。

我们提供多种类型的聊天机器人工具,以支持不同级别的客户服务,并提高客户满意度。从脚本式聊天机器人到我们的对话式AI云平台,您可以找到一个聊天机器人,为您的客户提供全天候的响应,并提供一个可以随着您的业务发展而扩展的可扩展解决方案。

要了解更多关于使用聊天机器人实现完整对话式商务体验的信息,请联系我们。

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					10 Benefits That Explain the Importance of CRM in Banking
10 Benefits That Explain the Importance of CRM in Banking
The banking industry is undergoing a digital transformation, and customer relationship management (CRM) systems are at the forefront of this change. By providing a centralised platform for customer data, interactions, and analytics, CRMs empower banks to deliver personalised and efficient services, fostering customer loyalty and driving business growth. We’ll look closer at the significance of CRM in banking, exploring its numerous benefits, addressing challenges in adoption, and highlighting future trends and innovations. Additionally, we present a compelling case study showcasing a successful CRM implementation in the banking sector. 10 Questions to Ask When Choosing a CRM in Banking When selecting a top CRM platform for your banking institution, it is necessary to carefully evaluate potential solutions to ensure they align with your specific requirements and objectives. Here are 10 key questions to ask during the selection process: 1. Does the CRM integrate with your existing, financial and banking organisation and systems? A seamless integration between your CRM and existing banking systems is essential to avoid data silos and ensure a holistic view of customer interactions. Look for a CRM that can easily integrate with your core banking system, payment platforms, and other relevant applications. 2. Can the CRM provide a 360-degree view of your customers? A CRM should offer a unified platform that consolidates customer data from various touchpoints, including online banking, mobile banking, branches, and contact centres. This enables bank representatives to access a complete customer profile, including account information, transaction history, and past interactions, resulting in more personalised and efficient customer service. 3. Does the CRM offer robust reporting and analytics capabilities? Leverage the power of data by selecting a CRM that provides robust reporting and analytics capabilities. This will allow you to analyse customer behaviour, identify trends, and gain actionable insights into customer needs and preferences. Look for a CRM that offers customisable reports, dashboards, and data visualisation tools to empower your bank with data-driven decision-making. 4. Is the CRM user-friendly and easy to implement? A user-friendly interface is essential for ensuring that your bank’s employees can effectively utilise the CRM. Consider the technical expertise of your team and opt for a CRM with an intuitive design, clear navigation, and minimal training requirements. Additionally, evaluate the implementation process to ensure it can be completed within your desired timeframe and budget. What is a CRM in the Banking Industry? Customer relationship management (CRM) is a crucial technology for banks to optimise customer service, improve operational efficiency, and drive business growth. A CRM system acts as a centralised platform that empowers banks to manage customer interactions, track customer information, and analyse customer data. By leveraging CRM capabilities, banks can also gain deeper insights and a larger understanding of their customers’ needs, preferences, and behaviours, enabling them to deliver personalised and exceptional banking experiences. CRM in banking fosters stronger customer relationships by facilitating personalised interactions. With a CRM system, banks can capture and store customer data, including personal information, transaction history, and communication preferences. This data enables bank representatives to have informed conversations with customers, addressing their specific needs and providing tailored financial solutions. Personalised interactions enhance customer satisfaction, loyalty, and overall banking experience. CRM enhances operational efficiency and productivity within banks. By automating routine tasks such as data entry, customer service ticketing, and report generation, banking CRM software streamlines workflows and reduces manual labour. This automation allows bank employees to focus on higher-value activities, such as customer engagement and financial advisory services. Furthermore, CRM provides real-time access to customer information, enabling employees to quickly retrieve and update customer data, thereby enhancing operational efficiency. Additionally, CRM empowers banks to analyse customer data and derive valuable insights. With robust reporting and analytics capabilities, banks can identify customer segments, analyse customer behaviour, and measure campaign effectiveness. This data-driven approach enables banks to make informed decisions, optimise marketing strategies, and develop targeted products and services that cater to specific customer needs. CRM also plays a vital role in risk management and compliance within the banking industry. By integrating customer data with regulatory requirements, banks can effectively monitor transactions, detect suspicious activities, and mitigate fraud risks. This ensures compliance with industry regulations and safeguards customer information. In summary, CRM is a transformative technology that revolutionises banking operations. By fostering personalised customer experiences and interactions, enhancing operational efficiency, enabling data-driven decision-making, and ensuring risk management, CRM empowers banks to deliver superior customer service, drive business growth, and maintain a competitive edge. The 10 Business Benefits of Using a Banking CRM 1. Streamlined Customer Interactions: CRMs enable banks to centralise customer data, providing a holistic view of each customer’s interactions with the bank. This allows for streamlined and personalised customer service, improving customer satisfaction and reducing the time and effort required to resolve customer queries. 2. Enhanced Data Management and Analytics: CRMs provide powerful data management capabilities, enabling banks to collect, store, and analyse customer data from various sources. This data can be leveraged to gain valuable insights into customer behaviour, preferences, and buying patterns. Banks can then use these insights to optimise their products, services, and marketing strategies. 3. Increased Sales and Cross-Selling Opportunities: CRMs help banks identify cross-selling and upselling opportunities by analysing customer data and identifying customer needs and preferences. By leveraging this information, banks can proactively recommend relevant products and services, increasing sales and revenue. 4. Improved Customer Retention and Loyalty: CRMs help banks build stronger customer relationships by enabling personalised interactions and providing excellent customer service. By understanding customer needs and preferences, banks can proactively address issues and provide tailored solutions, fostering customer loyalty and reducing churn. 5. Enhanced Regulatory Compliance and Risk Management: CRMs assist banks in complying with industry regulations and managing risks effectively. By centralising customer data and tracking customer interactions, banks can easily generate reports and demonstrate compliance with regulatory requirements. CRMs and other banking software programs also help in identifying and managing potential risks associated with customer transactions. 6. Improved Operational Efficiency: CRMs streamline various banking processes, including customer onboarding, loan processing, and account management. By automating repetitive tasks and providing real-time access to customer information, CRMs help banks improve operational efficiency and reduce costs. 7. Increased Employee Productivity: CRMs provide banking employees with easy access to customer data and real-time updates, enabling them to handle customer inquiries more efficiently. This reduces the time spent on administrative tasks and allows employees to focus on providing exceptional customer service. 8. Improved Decision-Making: CRMs provide banks with data-driven insights into customer behaviour and market trends. This information supports informed decision-making, enabling banks to develop and implement effective strategies for customer acquisition, retention, and growth. 9. Enhanced Customer Experience: CRMs help banks deliver a superior customer experience by providing personalised interactions, proactive problem resolution, and quick response to customer inquiries. This results in increased customer satisfaction and positive brand perception.10. Increased Profitability: By leveraging the benefits of CRM systems, banks can optimise their operations, increase sales, and reduce costs, ultimately leading to increased profitability and long-term success for financial service customers. Case studies highlighting successful CRM implementations in banking Several financial institutions have successfully implemented CRM systems to enhance their operations and customer service. Here are a few notable case studies: DBS Bank: DBS Bank, a leading financial institution in Southeast Asia, implemented a CRM system to improve customer service and cross-selling opportunities. The system provided a 360-degree view of customers, enabling the bank to tailor products and services to individual needs. As a result, DBS Bank increased customer retention by 15% and cross-selling opportunities by 20%. HDFC Bank: India’s largest private sector bank, HDFC Bank, implemented a CRM system to improve customer service and operational efficiency. The system integrated various customer touch points, such as branches, ATMs, and online banking, providing a seamless experience for customers. HDFC Bank achieved a 20% reduction in operating costs and a 15% increase in customer satisfaction. JPMorgan Chase: JPMorgan Chase, one of the largest banks in the United States, implemented a CRM system to improve customer interactions and data management. The system provided a centralised platform to track customer interactions and data, allowing the bank to gain insights into customer behaviour and preferences. As a result, JPMorgan Chase increased customer interactions by 15% and improved data accuracy by 20%. Bank of America: Bank of America, the second-largest bank in the United States, implemented a CRM system to improve sales and cross-selling opportunities. The system provided sales teams with real-time customer data, across sales and marketing efforts enabling them to tailor their pitches and identify potential cross-selling opportunities. Bank of America achieved a 10% increase in sales and a 15% increase in cross-selling opportunities.These case studies demonstrate the tangible benefits of CRM in the banking industry. By implementing CRM systems, banks can improve customer retention, customer service, cross-selling opportunities, operating costs, and marketing campaigns. Overcoming challenges to CRM adoption in banking While CRM systems offer numerous benefits to banks, their adoption can be hindered by certain challenges. One of the primary obstacles is resistance from employees who may be reluctant to embrace new technology or fear job displacement. Overcoming this resistance requires effective change management strategies, such as involving employees in the selection and implementation process, providing all-encompassing training, and addressing their concerns. Another challenge is the lack of proper training and support for employees using the CRM system. Insufficient training can lead to low user adoption and suboptimal utilisation of the system’s features. To address this, banks should invest in robust training programs that equip employees with the knowledge and skills necessary to effectively use the CRM system. Training should cover not only the technical aspects of the system but also its benefits and how it aligns with the bank’s overall goals. Integration challenges can also hinder the successful adoption of CRM software in banking. Banks often have complex IT systems and integrating a new CRM system can be a complex and time-consuming process. To overcome these challenges, banks should carefully plan the integration process, ensuring compatibility between the CRM system and existing systems. This may involve working with the CRM vendor to ensure a smooth integration process and providing adequate technical support to address any issues that arise. Data security is a critical concern for banks, and the adoption of a CRM system must address potential security risks. Banks must ensure that the CRM system meets industry standards and regulations for data protection. This includes implementing robust security measures, such as encryption, access controls, and regular security audits, to safeguard sensitive customer information. Finally, the cost of implementing and maintaining a CRM system can be a challenge for banks. CRM systems require significant upfront investment in software, hardware, and training. Banks should carefully evaluate the costs and benefits of CRM adoption, ensuring that the potential returns justify the investment. Additionally, banks should consider the ongoing costs associated with maintaining and updating the CRM system, as well as the cost of providing ongoing training and support to users. Future trends and innovations in banking CRM Navigating Evolving Banking Trends and Innovations in CRM The banking industry stands at the precipice of transformative changes, driven by a surge of innovative technologies and evolving customer expectations. Open banking, artificial intelligence (AI), blockchain technology, the Internet of Things (IoT), and voice-activated interfaces are shaping the future of banking CRM. Open banking is revolutionising the financial sphere by enabling banks to securely share customer data with third-party providers, with the customer’s explicit consent. This fosters a broader financial ecosystem, offering customers access to a varied range of products and services, while fostering healthy competition and innovation within the banking sector. AI has become an indispensable tool for banking institutions, empowering them to deliver exceptional customer experiences. AI-driven chatbots and virtual assistants provide round-the-clock support, assisting customers with queries, processing transactions, and ensuring swift problem resolution. Additionally, AI plays a pivotal role in fraud detection and risk management, safeguarding customers’ financial well-being. Blockchain technology, with its decentralised and immutable nature, offers a secure platform for financial transactions. By maintaining an incorruptible ledger of records, blockchain ensures the integrity and transparency of financial data, building trust among customers and enhancing the overall banking experience. The Internet of Things (IoT) is transforming banking by connecting physical devices to the internet, enabling real-time data collection and exchange. IoT devices monitor customer behaviour, track equipment status, and manage inventory, empowering banks to optimise operations, reduce costs, and deliver personalised services. Voice-activated interfaces and chatbots are revolutionising customer interactions, providing convenient and intuitive access to banking services. Customers can utilise voice commands or text-based chat to manage accounts, make payments, and seek assistance, enhancing their overall banking experience. These transformative trends necessitate banks’ ability to adapt and innovate continuously. By embracing these technologies and aligning them with customer needs, banks can unlock new opportunities for growth, strengthen customer relationships, and remain at the forefront of the industry. How LIKE.TG Can Help LIKE.TG is a leading provider of CRM solutions that can help banks achieve the benefits of CRM. With LIKE.TG, banks can gain a complete view of their customers, track interactions, deliver personalised experiences, and more. LIKE.TG offers a comprehensive suite of CRM tools that can be customised to meet the specific needs of banks. These tools include customer relationship management (CRM), sales and marketing automation, customer service, and analytics. By leveraging LIKE.TG, banks can improve customer satisfaction, increase revenue, and reduce costs. For example, one bank that implemented LIKE.TG saw a 20% increase in customer satisfaction, a 15% increase in revenue, and a 10% decrease in costs. Here are some specific examples of how LIKE.TG can help banks: Gain a complete view of customers: LIKE.TG provides a single, unified platform that allows banks to track all customer interactions, from initial contact to ongoing support. This information can be used to create a complete picture of each customer, which can help banks deliver more personalised and relevant experiences. Track interactions: LIKE.TG allows banks to track all interactions with customers, including phone calls, emails, chat conversations, and social media posts. This information can be used to identify trends and patterns, which can help banks improve their customer service and sales efforts. Deliver personalised experiences: LIKE.TG allows banks to create personalised experiences for each customer. This can be done by using customer data to tailor marketing campaigns, product recommendations, and customer service interactions. Increase revenue: LIKE.TG can help banks increase revenue by providing tools to track sales opportunities, manage leads, and forecast revenue. This information can be used to make informed decisions about which products and services to offer, and how to best target customers. Reduce costs: LIKE.TG can help banks reduce costs by automating tasks, streamlining processes, and improving efficiency. This can free up resources that can be used to focus on other areas of the business. Overall, LIKE.TG is a powerful CRM solution that can help banks improve customer satisfaction, increase revenue, and reduce costs. By leveraging LIKE.TG, banks can gain a competitive advantage in the rapidly changing financial services industry.

					10 Ecommerce Trends That Will Influence Online Shopping in 2024
10 Ecommerce Trends That Will Influence Online Shopping in 2024
Some ecommerce trends and technologies pass in hype cycles, but others are so powerful they change the entire course of the market. After all the innovations and emerging technologies that cropped up in 2023, business leaders are assessing how to move forward and which new trends to implement.Here are some of the biggest trends that will affect your business over the coming year. What you’ll learn: Artificial intelligence is boosting efficiency Businesses are prioritising data management and harmonisation Conversational commerce is getting more human Headless commerce is helping businesses keep up Brands are going big with resale Social commerce is evolving Vibrant video content is boosting sales Loyalty programs are getting more personalised User-generated content is influencing ecommerce sales Subscriptions are adding value across a range of industries Ecommerce trends FAQ 1. Artificial intelligence is boosting efficiency There’s no doubt about it: Artificial intelligence (AI) is changing the ecommerce game. Commerce teams have been using the technology for years to automate and personalise product recommendations, chatbot activity, and more. But now, generative and predictive AI trained on large language models (LLM) offer even more opportunities to increase efficiency and scale personalisation. AI is more than an ecommerce trend — it can make your teams more productive and your customers more satisfied. Do you have a large product catalog that needs to be updated frequently? AI can write and categorise individual descriptions, cutting down hours of work to mere minutes. Do you need to optimise product detail pages? AI can help with SEO by automatically generating meta titles and meta descriptions for every product. Need to build a landing page for a new promotion? Generative page designers let users of all skill levels create and design web pages in seconds with simple, conversational building tools. All this innovation will make it easier to keep up with other trends, meet customers’ high expectations, and stay flexible — no matter what comes next. 2. Businesses are prioritising data management and harmonisation Data is your most valuable business asset. It’s how you understand your customers, make informed decisions, and gauge success. So it’s critical to make sure your data is in order. The challenge? Businesses collect a lot of it, but they don’t always know how to manage it. That’s where data management and harmonisation come in. They bring together data from multiple sources — think your customer relationship management (CRM) and order management systems — to provide a holistic view of all your business activities. With harmonised data, you can uncover insights and act on them much faster to increase customer satisfaction and revenue. Harmonised data also makes it possible to implement AI (including generative AI), automation, and machine learning to help you market, serve, and sell more efficiently. That’s why data management and harmonisation are top priorities among business leaders: 68% predict an increase in data management investments. 32% say a lack of a complete view and understanding of their data is a hurdle. 45% plan to prioritise gaining a more holistic view of their customers. For businesses looking to take advantage of all the new AI capabilities in ecommerce, data management should be priority number one. 3. Conversational commerce is getting more human Remember when chatbot experiences felt robotic and awkward? Those days are over. Thanks to generative AI and LLMs, conversational commerce is getting a glow-up. Interacting with chatbots for service inquiries, product questions, and more via messaging apps and websites feels much more human and personalised. Chatbots can now elevate online shopping with conversational AI and first-party data, mirroring the best in-store interactions across all digital channels. Natural language, image-based, and data-driven interactions can simplify product searches, provide personalised responses, and streamline purchases for a smooth experience across all your digital channels. As technology advances, this trend will gain more traction. Intelligent AI chatbots offer customers better self-service experiences and make shopping more enjoyable. This is critical since 68% of customers say they wouldn’t use a company’s chatbot again if they had a bad experience. 4. Headless commerce is helping businesses keep up Headless commerce continues to gain steam. With this modular architecture, ecommerce teams can deliver new experiences faster because they don’t have to wait in the developer queue to change back-end systems. Instead, employees can update online interfaces using APIs, experience managers, and user-friendly tools. According to business leaders and commerce teams already using headless: 76% say it offers more flexibility and customisation. 72% say it increases agility and lets teams make storefront changes faster. 66% say it improves integration between systems. Customers reap the benefits of headless commerce, too. Shoppers get fresh experiences more frequently across all devices and touchpoints. Even better? Headless results in richer personalisation, better omni-channel experiences, and peak performance for ecommerce websites. 5. Brands are going big with resale Over the past few years, consumers have shifted their mindset about resale items. Secondhand purchases that were once viewed as stigma are now seen as status. In fact, more than half of consumers (52%) have purchased an item secondhand in the last year, and the resale market is expected to reach $70 billion by 2027. Simply put: Resale presents a huge opportunity for your business. As the circular economy grows in popularity, brands everywhere are opening their own resale stores and encouraging consumers to turn in used items, from old jeans to designer handbags to kitchen appliances. To claim your piece of the pie, be strategic as you enter the market. This means implementing robust inventory and order management systems with real-time visibility and reverse logistics capabilities. 6. Social commerce is evolving There are almost 5 billion monthly active users on platforms like Instagram, Facebook, Snapchat, and TikTok. More than two-thirds (67%) of global shoppers have made a purchase through social media this year. Social commerce instantly connects you with a vast global audience and opens up new opportunities to boost product discovery, reach new markets, and build meaningful connections with your customers. But it’s not enough to just be present on social channels. You need to be an active participant and create engaging, authentic experiences for shoppers. Thanks to new social commerce tools — like generative AI for content creation and integrations with social platforms — the shopping experience is getting better, faster, and more engaging. This trend is blurring the lines between shopping and entertainment, and customer expectations are rising as a result. 7. Vibrant video content is boosting sales Now that shoppers have become accustomed to the vibrant, attention-grabbing video content on social platforms, they expect the same from your brand’s ecommerce site. Video can offer customers a deeper understanding of your products, such as how they’re used, and what they look like from different angles. And video content isn’t just useful for ads or for increasing product discovery. Brands are having major success using video at every stage of the customer journey: in pre-purchase consultations, on product detail pages, and in post-purchase emails. A large majority (89%) of consumers say watching a video has convinced them to buy a product or service. 8. Loyalty programs are getting more personalised It’s important to attract new customers, but it’s also critical to retain your existing ones. That means you need to find ways to increase loyalty and build brand love. More and more, customers are seeking out brand loyalty programs — but they want meaningful rewards and experiences. So, what’s the key to a successful loyalty program? In a word: personalisation. Customers don’t want to exchange their data for a clunky, impersonal experience where they have to jump through hoops to redeem points. They want straightforward, exclusive offers. Curated experiences. Relevant rewards. Six out of 10 consumers want discounts in return for joining a loyalty program, and about one-third of consumers say they find exclusive or early access to products valuable. The brands that win customer loyalty will be those that use data-driven insights to create a program that keeps customers continually engaged and satisfied. 9. User-generated content is influencing ecommerce sales User-generated content (UGC) adds credibility, authenticity‌, and social proof to a brand’s marketing efforts — and can significantly boost sales and brand loyalty. In fact, one study found that shoppers who interact with UGC experience a 102.4% increase in conversions. Most shoppers expect to see feedback and reviews before making a purchase, and UGC provides value by showcasing the experiences and opinions of real customers. UGC also breaks away from generic item descriptions and professional product photography. It can show how to style a piece of clothing, for example, or how an item will fit across a range of body types. User-generated videos go a step further, highlighting the functions and features of more complex products, like consumer electronics or even automobiles. UGC is also a cost-effective way to generate content for social commerce without relying on agencies or large teams. By sourcing posts from hashtags, tagging, or concentrated campaigns, brands can share real-time, authentic, and organic social posts to a wider audience. UGC can be used on product pages and in ads, as well. And you can incorporate it into product development processes to gather valuable input from customers at scale. 10. Subscriptions are adding value across a range of industries From streaming platforms to food, clothing, and pet supplies, subscriptions have become a popular business model across industries. In 2023, subscriptions generated over $38 billion in revenue, doubling over the past four years. That’s because subscriptions are a win-win for shoppers and businesses: They offer freedom of choice for customers while creating a continuous revenue stream for sellers. Consider consumer goods brand KIND Snacks. KIND implemented a subscription service to supplement its B2B sales, giving customers a direct line to exclusive offers and flavours. This created a consistent revenue stream for KIND and helped it build a new level of brand loyalty with its customers. The subscription also lets KIND collect first-party data, so it can test new products and spot new trends. Ecommerce trends FAQ How do I know if an ecommerce trend is right for my business? If you’re trying to decide whether to adopt a new trend, the first step is to conduct a cost/benefit analysis. As you do, remember to prioritise customer experience and satisfaction. Look at customer data to evaluate the potential impact of the trend on your business. How costly will it be to implement the trend, and what will the payoff be one, two, and five years into the future? Analyse the numbers to assess whether the trend aligns with your customers’ preferences and behaviours. You can also take a cue from your competitors and their adoption of specific trends. While you shouldn’t mimic everything they do, being aware of their experiences can provide valuable insights and help gauge the viability of a trend for your business. Ultimately, customer-centric decision-making should guide your evaluation. Is ecommerce still on the rise? In a word: yes. In fact, ecommerce is a top priority for businesses across industries, from healthcare to manufacturing. Customers expect increasingly sophisticated digital shopping experiences, and digital channels continue to be a preferred purchasing method. Ecommerce sales are expected to reach $8.1 trillion by 2026. As digital channels and new technologies evolve, so will customer behaviours and expectations. Where should I start if I want to implement AI? Generative AI is revolutionising ecommerce by enhancing customer experiences and increasing productivity, conversions, and customer loyalty. But to reap the benefits, it’s critical to keep a few things in mind. First is customer trust. A majority of customers (68%) say advances in AI make it more important for companies to be trustworthy. This means businesses implementing AI should focus on transparency. Tell customers how you will use their data to improve shopping experiences. Develop ethical standards around your use of AI, and discuss them openly. You’ll need to answer tough questions like: How do you ensure sensitive data is anonymised? How will you monitor accuracy and audit for bias, toxicity, or hallucinations? These should all be considerations as you choose AI partners and develop your code of conduct and governance principles. At a time when only 13% of customers fully trust companies to use AI ethically, this should be top of mind for businesses delving into the fast-evolving technology. How can commerce teams measure success after adopting a new trend? Before implementing a new experience or ecommerce trend, set key performance indicators (KPIs) and decide how you’ll track relevant ecommerce metrics. This helps you make informed decisions and monitor the various moving parts of your business. From understanding inventory needs to gaining insights into customer behaviour to increasing loyalty, you’ll be in a better position to plan for future growth. The choice of metrics will depend on the needs of your business, but it’s crucial to establish a strategy that outlines metrics, sets KPIs, and measures them regularly. Your business will be more agile and better able to adapt to new ecommerce trends and understand customer buying patterns. Ecommerce metrics and KPIs are valuable tools for building a successful future and will set the tone for future ecommerce growth.

					10 Effective Sales Coaching Tips That Work
10 Effective Sales Coaching Tips That Work
A good sales coach unlocks serious revenue potential. Effective coaching can increase sales performance by 8%, according to a study by research firm Gartner.Many sales managers find coaching difficult to master, however — especially in environments where reps are remote and managers are asked to do more with less time and fewer resources.Understanding the sales coaching process is crucial in maximising sales rep performance, empowering reps, and positively impacting the sales organisation through structured, data-driven strategies.If you’re not getting the support you need to effectively coach your sales team, don’t despair. These 10 sales coaching tips are easy to implement with many of the tools already at your disposal, and are effective for both in-person and remote teams.1. Focus on rep wellbeingOne in three salespeople say mental health in sales has declined over the last two years, according to a recent LIKE.TG survey. One of the biggest reasons is the shift to remote work environments, which pushed sales reps to change routines while still hitting quotas. Add in the isolation inherent in virtual selling and you have a formula for serious mental and emotional strain.You can alleviate this in a couple of ways. First, create boundaries for your team. Set clear work hours and urge reps not to schedule sales or internal calls outside of these hours. Also, be clear about when reps should be checking internal messages and when they can sign off.Lori Richardson, founder of sales training company Score More Sales, advises managers to address this head-on by asking reps about their wellbeing during weekly one-on-ones. “I like to ask open-ended questions about the past week,” she said. “Questions like, ‘How did it go?’ and ‘What was it like?’ are good first steps. Then, you need to listen.”When the rep is done sharing their reflection, Richardson suggests restating the main points to ensure you’re on the same page. If necessary, ask for clarity so you fully understand what’s affecting their state of mind. Also, she urges: Don’t judge. The level of comfort required for sharing in these scenarios can only exist if you don’t jump to judgement.2. Build trust with authentic storiesFor sales coaching to work, sales managers must earn reps’ trust. This allows the individual to be open about performance challenges. The best way to start is by sharing personal and professional stories.These anecdotes should be authentic, revealing fault and weakness as much as success. There are two goals here: support reps with relatable stories so they know they’re not struggling alone, and let them know there are ways to address and overcome challenges.For example, a seasoned manager might share details about their first failed sales call as a cautionary tale – highlighting poor preparation, aggressive posturing, and lack of empathy during the conversation. This would be followed by steps the manager took to fix these mistakes, like call rehearsing and early-stage research into the prospect’s background, business, position, and pain points.3. Record and review sales callsSales coaching sessions, where recording and reviewing sales calls are key components aimed at improving sales call techniques, have become essential in today’s sales environment. Once upon a time, sales reps learned by shadowing tenured salespeople. While this is still done, it’s inefficient – and often untenable for virtual sales teams.To give sales reps the guidance and coaching they need to improve sales calls, deploy an intuitive conversation recording and analysis tool like Einstein Conversation Insights (ECI). You can analyse sales call conversations, track keywords to identify market trends, and share successful calls to help coach existing reps and accelerate onboarding for new reps. Curate both “best of” and “what not to do” examples so reps have a sense of where the guide rails are.4. Encourage self-evaluationWhen doing post-call debriefs or skill assessments – or just coaching during one-on-ones – it’s critical to have the salesperson self-evaluate. As a sales manager, you may only be with the rep one or two days a month. Given this disconnect, the goal is to encourage the sales rep to evaluate their own performance and build self-improvement goals around these observations.There are two important components to this. First, avoid jumping directly into feedback during your interactions. Relax and take a step back; let the sales rep self-evaluate.Second, be ready to prompt your reps with open-ended questions to help guide their self-evaluation. Consider questions like:What were your big wins over the last week/quarter?What were your biggest challenges and where did they come from?How did you address obstacles to sales closings?What have you learned about both your wins and losses?What happened during recent calls that didn’t go as well as you’d like? What would you do differently next time?Reps who can assess what they do well and where they can improve ultimately become more self-aware. Self-awareness is the gateway to self-confidence, which can help lead to more consistent sales.5. Let your reps set their own goalsThis falls in line with self-evaluation. Effective sales coaches don’t set focus areas for their salespeople; they let reps set this for themselves. During your one-on-ones, see if there’s an important area each rep wants to focus on and go with their suggestion (recommending adjustments as needed to ensure their goals align with those of the company). This creates a stronger desire to improve as it’s the rep who is making the commitment. Less effective managers will pick improvement goals for their reps, then wonder why they don’t get buy-in.For instance, a rep who identifies a tendency to be overly chatty in sales calls might set a goal to listen more. (Nine out of 10 salespeople say listening is more important than talking in sales today, according to a recent LIKE.TG survey.) To help, they could record their calls and review the listen-to-talk ratio. Based on industry benchmarks, they could set a clear goal metric and timeline – a 60/40 listen-to-talk ratio in four weeks, for example.Richardson does have one note of caution, however. “Reps don’t have all the answers. Each seller has strengths and gaps,” she said. “A strong manager can identify those strengths and gaps, and help reps fill in the missing pieces.”6. Focus on one improvement at a timeFor sales coaching to be effective, work with the rep to improve one area at a time instead of multiple areas simultaneously. With the former, you see acute focus and measurable progress. With the latter, you end up with frustrated, stalled-out reps pulled in too many directions.Here’s an example: Let’s say your rep is struggling with sales call openings. They let their nerves get the best of them and fumble through rehearsed intros. Over the course of a year, encourage them to practice different kinds of openings with other reps. Review their calls and offer insight. Ask them to regularly assess their comfort level with call openings during one-on-ones. Over time, you will see their focus pay off.7. Ask each rep to create an action planOpen questioning during one-on-ones creates an environment where a sales rep can surface methods to achieve their goals. To make this concrete, have the sales rep write out a plan of action that incorporates these methods. This plan should outline achievable steps to a desired goal with a clearly defined timeline. Be sure you upload it to your CRM as an attachment or use a tool like Quip to create a collaborative document editable by both the manager and the rep. Have reps create the plan after early-quarter one-on-ones and check in monthly to gauge progress (more on that in the next step).Here’s what a basic action plan might look like:Main goal: Complete 10 sales calls during the last week of the quarterSteps:Week 1: Identify 20-25 prospectsWeek 2: Make qualifying callsWeek 3: Conduct needs analysis (discovery) calls, prune list, and schedule sales calls with top prospectsWeek 4: Lead sales calls and close dealsThe power of putting pen to paper here is twofold. First, it forces the sales rep to think through their plan of action. Second, it crystallises their thinking and cements their commitment to action.8. Hold your rep accountableAs businessman Louis Gerstner, Jr. wrote in “Who Says Elephants Can’t Dance?”, “people respect what you inspect.” The effective manager understands that once the plan of action is in place, their role as coach is to hold the sales rep accountable for following through on their commitments. To support them, a manager should ask questions during one-on-ones such as:What measurable progress have you made this week/quarter?What challenges are you facing?How do you plan to overcome these challenges?You can also review rep activity in your CRM. This is especially easy if you have a platform that combines automatic activity logging, easy pipeline inspection, and task lists with reminders. If you need to follow up, don’t schedule another meeting. Instead, send your rep a quick note via email or a messaging tool like Slack to level-set.9. Offer professional development opportunitiesAccording to a study by LinkedIn, 94% of employees would stay at a company longer if it invested in their career. When companies make an effort to feed their employees’ growth, it’s a win-win. Productivity increases and employees are engaged in their work.Book clubs, seminars, internal training sessions, and courses are all great development opportunities. If tuition reimbursement or sponsorship is possible, articulate this up front so reps know about all available options.Richardson adds podcasts to the list. “Get all of your salespeople together to talk about a podcast episode that ties into sales,” she said. “Take notes, pull key takeaways and action items, and share a meeting summary the next day with the group. I love that kind of peer engagement. It’s so much better than watching a dull training video.”10. Set up time to share failures — and celebrationsAs Forbes Council member and sales vet Adam Mendler wrote of sales teams, successful reps and executives prize learning from failure. But as Richardson points out, a lot of coaches rescue their reps before they can learn from mistakes: “Instead of letting them fail, they try to save an opportunity,” she said. “But that’s not scalable and doesn’t build confidence in the rep.”Instead, give your reps the freedom to make mistakes and offer them guidance to grow through their failures. Set up a safe space where reps can share their mistakes and learnings with the larger team — then encourage each rep to toss those mistakes on a metaphorical bonfire so they can move on.By embracing failure as a learning opportunity, you also minimise the likelihood of repeating the same mistakes. Encourage your reps to document the circumstances that led to a missed opportunity or lost deal. Review calls to pinpoint where conversations go awry. Study failure, and you might be surprised by the insights that emerge.Also — and equally as important — make space for celebrating big wins. This cements best practices and offers positive reinforcement, which motivates reps to work harder to hit (or exceed) quota.Next steps for your sales coaching programA successful sales coach plays a pivotal role in enhancing sales rep performance and elevating the entire sales organisation. Successful sales coaching requires daily interaction with your team, ongoing training, and regular feedback, which optimises sales processes to improve overall sales performance. As Lindsey Boggs, global director of sales development at Quantum Metric, noted, it also requires intentional focus and a strategic approach to empower the sales team, significantly impacting the sales organisation.“Remove noise from your calendar so you can focus your day on what’s going to move the needle the most — coaching,” she said. Once that’s prioritised, follow the best practices above to help improve your sales reps’ performance, focusing on individual rep development as a key aspect of sales coaching. Remember: coaching is the key to driving sales performance.Steven Rosen, founder of sales management training company STAR Results, contributed to this article.
AI对话
The Power of AI and How Microsoft’s Supercomputer is Paving the Way
The Power of AI and How Microsoft’s Supercomputer is Paving the Way
As an AI enthusiast, I have always been fascinated by the power of computers with AI. The ability of machines to learn, adapt and perform complex tasks has revolutionized many industries, from healthcare to finance, education, and entertainment. But what is the future of AI, and how will it impact our world? In this article, I will explore the history, current state, and potential applications of AI, with a focus on Microsoft’s supercomputer and its collaboration with the MET Office to build a new generation of weather forecasting models.Introduction to AI and SupercomputersArtificial intelligence (AI) is a branch of computer science that deals with the development of algorithms and systems that can perform tasks requiring human-like intelligence, such as perception, reasoning, learning, and decision making. AI has been around for decades, but recent advancements in machine learning, deep learning, and natural language processing have opened up new possibilities for automation, optimization, and innovation.A supercomputer is a type of computer that has many processors, memory, and storage resources, allowing it to perform complex calculations and data analysis tasks at a much higher speed and scale than regular computers. Supercomputers are used in various fields, such as science, engineering, finance, and defense, to simulate and model complex phenomena, solve optimization problems, and process large amounts of data.The History of Computers with AIThe history of AI can be traced back to the mid-20th century, when researchers started exploring the idea of creating machines that could reason and learn like humans. One of the first AI systems was the Logic Theorist, developed by Allen Newell and Herbert Simon in 1956, which could prove mathematical theorems using symbolic logic. Another milestone was the General Problem Solver, created by J. C. Shaw and Herbert Simon in 1957, which could solve various problems using heuristic search and rule-based reasoning.In the 1960s and 1970s, AI research focused on expert systems, which were designed to mimic the knowledge and reasoning of human experts in specific domains, such as medicine, law, and finance. One of the most famous expert systems was MYCIN, developed by Edward Shortliffe in 1974, which could diagnose bacterial infections and recommend treatments based on the patient’s symptoms and medical history.In the following decades, AI research shifted towards machine learning, which involves training algorithms on large datasets to recognize patterns, classify objects, and make predictions. This approach has led to breakthroughs in computer vision, natural language processing, and speech recognition, enabling machines to perform tasks that were once thought to be exclusively human.The Current State of AI and its Impact on SocietyToday, AI is everywhere, from voice assistants like Siri and Alexa to self-driving cars, personalized advertising, and fraud detection. AI is also transforming industries such as healthcare, where it is used to diagnose diseases, develop new drugs, and improve patient outcomes. In finance, AI is used for fraud detection, risk management, and algorithmic trading. In education, AI is used for personalized learning, adaptive assessment, and intelligent tutoring.However, AI is not without its challenges and limitations. One of the main challenges is the bias and discrimination that can be introduced by AI systems, which are trained on biased data and can perpetuate and amplify existing inequalities. Another challenge is the ethical and legal implications of AI, such as privacy, transparency, and accountability. As AI becomes more pervasive and powerful, it is important to ensure that it is developed and used in a responsible and ethical way.What is a Supercomputer and How does it Differ from a Regular Computer?A supercomputer is a specialized type of computer that is designed to perform large-scale computations and simulations, are typically used for scientific and engineering applications that require high performance and accuracy, such as climate modeling, astrophysics, and quantum mechanics. Supercomputers are also used for data-intensive tasks such as big data analytics, machine learning, and artificial intelligence.Supercomputers differ from regular computers in several ways. First, supercomputers have a much higher processing power, measured in floating-point operations per second (FLOPS), than regular computers.Supercomputers can perform billions or even trillions of calculations per second, whereas regular computers can only perform millions. Second, supercomputers have a larger memory and storage capacity, allowing them to process and store massive datasets. Third, supercomputers are often specialized for specific tasks, such as weather forecasting or genome sequencing, whereas regular computers are general-purpose and can perform various tasks.Microsoft’s Announcement to Build a Supercomputer for AIIn May 2020, Microsoft announced that it would build a new supercomputer for AI research, in collaboration with OpenAI, a leading AI research organization. The supercomputer, named Azure AI, is one of the top five most powerful supercomputers in the world, with a processing power of 285 petaflops, or 285 million billion calculations per second. Azure AI is designed to train and run large-scale AI models, such as natural language processing and computer vision, that require massive amounts of computing power and data.The collaboration between Microsoft and OpenAI is aimed at advancing AI research and development, and addressing some of the key challenges and opportunities of AI, such as data privacy, energy efficiency, and ethical considerations. Azure AI is also expected to support various applications of AI, such as autonomous vehicles, personalized medicine, and smart cities.The MET Office and Microsoft’s Collaboration to Build a Supercomputer for Weather ForecastingIn addition to the collaboration with OpenAI, Microsoft has also partnered with the MET Office, the UK’s national weather service, to build a new supercomputer for weather forecasting. The supercomputer, named the Cray XC50, is the most powerful weather and climate supercomputer in the world, with a processing power of 23.5 petaflops.The Cray XC50 is designed to run sophisticated weather and climate models, that can predict the weather up to 15 days in advance, as well as simulate the impacts of climate change on different regions and sectors.The collaboration between the MET Office and Microsoft is aimed at improving the accuracy and reliability of weather forecasts, and providing more detailed and timely information to the public and decision-makers.The Cray XC50 is also expected to support research on climate change and its impacts, and help develop strategies and policies to mitigate and adapt to climate change.The Potential Benefits and Applications of Microsoft’s SupercomputerThe potential benefits and applications of Microsoft’s supercomputer are numerous and diverse. Some of the key benefits include:Improved accuracy and speed of AI models, which can lead to better decision-making, efficiency, and innovation in various industries, such as healthcare, finance, and manufacturing.Faster and more detailed weather and climate forecasts, which can help mitigate the impacts of extreme weather events and support adaptation and resilience measures.Enhanced research and development in AI, climate science, and other fields, which can lead to new discoveries, technologies, and solutions to global challenges.Some of the key applications of Microsoft’s supercomputer include:Natural language processing and speech recognition, for applications such as chatbots, voice assistants, and language translation.Computer vision and image recognition, for applications such as autonomous vehicles, facial recognition, and quality control.Climate modeling and simulation, for applications such as climate prediction, risk assessment, and policy evaluation.Drug discovery and personalized medicine, for applications such as drug design, clinical trials, and precision medicine.The Ethical Implications of AI and SupercomputersAs AI and supercomputers become more powerful and pervasive, it is important to consider their ethical and societal implications. Some of the key ethical issues include:Bias and discrimination, which can be introduced by AI systems that are trained on biased data and can perpetuate and amplify existing inequalities.Privacy and security, which can be compromised by AI systems that collect, process, and store personal data without consent or protection.Transparency and accountability, which can be challenging in AI systems that are opaque, complex, and difficult to audit or explain.Employment and labor impacts, which can be significant in industries that are automated or augmented by AI, and can lead to job displacement, skill gaps, and income inequality.To address these ethical issues, it is important to develop and implement ethical frameworks, guidelines, and standards for AI and supercomputers, that take into account the diverse perspectives, values, and interests of stakeholders, such as users, developers, regulators, and civil society.The Future of AI and SupercomputersThe future of AI and supercomputers is both exciting and challenging. On the one hand, AI and supercomputers have the potential to transform many aspects of our lives, from healthcare to climate change, and enable new forms of creativity, productivity, and well-being. On the other hand, AI and supercomputers also pose significant risks and uncertainties, such as job displacement, inequality, and unintended consequences.To realize the full potential of AI and supercomputers, it is important to pursue a human-centered and responsible approach, that values human dignity, rights, and welfare, and addresses the ethical, legal, and social implications of AI and supercomputers. This approach requires collaboration and engagement among diverse stakeholders, such as governments, industry, academia, and civil society, and a commitment to transparency, accountability, and participation.Conclusion and Final ThoughtsIn conclusion, AI and supercomputers are powerful tools that can help us tackle some of the most pressing challenges of our time, from climate change to healthcare. Microsoft’s supercomputer, in collaboration with OpenAI and the MET Office, represents a significant step forward in AI research and development, and has the potential to unlock new opportunities and benefits for society.However, it is important to recognize that AI and supercomputers also present significant ethical and societal challenges, that require careful consideration and action. By taking a human-centered and responsible approach to AI and supercomputers, we can harness their power for the greater good, and build a more inclusive, sustainable, and prosperous future.REMEMBER !!!You can downloadour available appsfor translating and learning languages correctly available for free on googleplay and applestores.Do not hesitate to visit ourLIKE.TG websiteand contact us with any questions or problems you may have, and of course, take a look at any ofour blog articles.
Artificial Intelligence Demystified: What It Is and How It Works
Artificial Intelligence Demystified
What It Is and How It Works
As a technology enthusiast, I have always been fascinated by artificial intelligence (AI). The idea of machines being able to think and learn like humans is both exciting and intimidating. In this article, I will attempt to demystify AI by explaining what it is, how it works, and the impact it has on society.Introduction to Artificial IntelligenceArtificial Intelligence, or AI, refers to the ability of machines to perform tasks that would normally require human intelligence, such as learning, perception, and decision-making. AI systems are designed to analyze vast amounts of data, find patterns, and make predictions. AI is a rapidly growing field, with new breakthroughs and innovations being made every day.What is Artificial Intelligence or AI? Understanding the BasicsAt its core, AI is a computer system that can perform tasks that would normally require human intelligence. These tasks can range from simple tasks like recognizing speech or images, to more complex tasks like playing chess or driving a car. AI systems are designed to learn from data, and can improve their performance over time.There are two main types of AI : narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform a specific task, such as recognizing faces or playing a game.General AI, also known as strong AI, is designed to perform any intellectual task that a human can do. However, we are still far from achieving true general AI.Evolution of AI TechnologyAI has been around for several decades, but it has only been in recent years that we have seen significant advancements in the technology. The development of neural networks and deep learning algorithms has allowed AI systems to analyze vast amounts of data and find patterns that were previously impossible to detect.AI technology has also become more accessible in recent years, with the development of open-source libraries and platforms. This has allowed developers to create AI systems without having to start from scratch, and has led to a proliferation of AI applications in various industries.Types of AI SystemsThere are several types of AI systems, each with its own strengths and weaknesses. Some of the most common types of AI systems include:Rule-based systems: These are systems that use a set of predefined rules to make decisions. For example, a rule-based system might be used to diagnose a medical condition based on a set of symptoms.Neural networks: These are systems that are designed to mimic the structure and function of the human brain. Neural networks are often used for image and speech recognition.Deep learning systems: These are neural networks that are designed to analyze vast amounts of data and find patterns. Deep learning systems are often used for natural language processing and predictive analytics.Expert systems: These are systems that are designed to replicate the decision-making processes of human experts. Expert systems are often used in fields like medicine and law.Applications of AI in Various FieldsAI has numerous applications in various fields, from healthcare to finance to transportation. Some of the most common applications of AI include:Healthcare: AI is being used to diagnose medical conditions, develop personalized treatment plans, and analyze medical images.Finance: AI is being used to detect fraud, make investment decisions, and analyze market trends.Transportation: AI is being used to develop self-driving cars, optimize traffic flow, and improve public transportation.Manufacturing: AI is being used to automate production processes, optimize supply chains, and improve product quality.How AI Works – Exploring the AI AlgorithmsAI systems use algorithms to analyze data and make decisions. These algorithms can be divided into two categories – supervised learning and unsupervised learning.Supervised learning algorithms are used when the system is given a set of labeled data, and is trained to recognize patterns in that data. For example, a supervised learning algorithm might be given a set of images of cats and dogs, and would be trained to recognize which images are of cats and which are of dogs.Unsupervised learning algorithms are used when the system is given a set of unlabeled data, and is tasked with finding patterns in that data. For example, an unsupervised learning algorithm might be given a set of customer transaction data, and would be tasked with finding patterns in that data that can be used to make business decisions.Future of Artificial Intelligence: Trends and PredictionsThe future of AI is both exciting and uncertain. On the one hand, AI has the potential to revolutionize numerous fields and improve our lives in countless ways. On the other hand, there are concerns about the impact of AI on jobs, privacy, and security.One of the biggest trends in AI is the development of explainable AI. Explainable AI refers to AI systems that are designed to provide clear explanations of their decisions and actions. This is important for ensuring that AI systems are transparent and accountable.Another trend in AI is the development of edge AI. Edge AI refers to AI systems that are designed to run on devices at the edge of the network, such as smartphones and IoT devices. This allows AI systems to be more responsive and efficient, and can improve the user experience.Advantages and Disadvantages of Artificial IntelligenceLike any technology, AI has its advantages and disadvantages. Some of the advantages of AI include:Increased efficiency and productivityImproved decision-makingEnhanced customer experienceImproved healthcare outcomesSome of the disadvantages of AI include:Job displacementSecurity and privacy concernsLack of transparency and accountabilityEthical concernsArtificial Intelligence and the Job MarketOne of the biggest concerns about AI is its impact on jobs. While AI has the potential to create new jobs and improve productivity, it also has the potential to displace workers in certain industries.According to a report by the World Economic Forum, AI is expected to displace 75 million jobs by 2022. However, the report also predicts that AI will create 133 million new jobs by 2022, resulting in a net gain of 58 million jobs.Artificial Intelligence Technology and Its Impact on SocietyAI technology has the potential to transform society in numerous ways, from improving healthcare outcomes to reducing traffic congestion to enhancing national security. However, there are also concerns about the impact of AI on society, particularly in the areas of privacy, security, and ethics.One of the biggest ethical concerns related to AI is bias. AI systems are only as unbiased as the data they are trained on, and if that data is biased, the AI system will be biased as well. This can lead to discrimination and other forms of unfairness.Future of AI TechnologyThe future of AI is difficult to predict, but it is likely that we will continue to see rapid advancements in the technology. Some of the areas where we can expect to see significant progress include:Natural language processingRoboticsExplainable AIEdge AIConclusionArtificial intelligence is a rapidly evolving field that has the potential to transform numerous industries and improve our lives in countless ways. However, there are also concerns about the impact of AI on jobs, privacy, and security. It is important to approach AI technology with caution and to consider the ethical implications of its use. As AI technology continues to evolve, we must be mindful of its potential benefits and drawbacks, and work to ensure that it is used in a responsible and ethical manner.To learn more about the latest developments in artificial intelligence technology, check out our blog.REMEMBER !!!You can downloadour available appsfor translating and learning languages correctly available for free on googleplay and applestores.Do not hesitate to visit ourLIKE.TG websiteand contact us with any questions or problems you may have, and of course, take a look at any ofour blog articles.
LIKE.TG API
LIKE.TG API
The most accurate translationLIKE.TG has its own translation API (with more than 125 languages, auto-detected language and language detected by geolocation) so you can get much more accurate results and improve communication.Break the language barriers with LIKE.TG !LIKE.TG Translate is available for both Android and iOS and is completely free.An indispensable tool if you like to travel, learn languages or converse with people who speak a different language than yours, perhaps … do you have someone special in mind?How does LIKE.TG API work?The app allows its users to positively rate the best translation results and after thousands of saved and thoroughly analyzed ratings, the translations have been adjusted to provide the most accurate results.In turn, the best translation engines such as Google, Microsoft, Deepl among others, to be even better.In addition, LIKE.TG’s API has its own database in which native human translators add advanced translations in different languages, therefore, the level of automatic translations is much higher than that of other common translation apps.In each translation, the intelligence of its own API analyzes the phrases in search of words which have definitions, synonyms, antonyms or examples and even verb conjugations in all tenses, they are called Smart Bubbles.In addition, within its server it has a large database to form “Books”, where you can find books in different languages, well organized by categories with different themes, with the invaluable help of expert translators.The automatic learning that makes up the server and its API constantly analyze the different languages to improve its translations and therefore, the more the application is used, the more data it receives and the more accurate and better its results are.Would you like to try it?REMEMBER !!!You can downloadour available appsfor translating and learning languages correctly available for free on googleplay and applestores.Do not hesitate to visit ourLIKE.TG websiteand contact us with any questions or problems you may have, and of course, take a look at any ofour blog articles.
数据营销
Zone pricing
Zone pricing
Zone pricing is a pricing method in which consumers within one zone are charged one price. Clients who are located closer to the company's dispatch point pay less, whereas distant customers pay a higher price as shipping distances increase. To set prices for different zones, companies always consider the local conditions such as competition and costs associated with shipping and storage. Advantages and Disadvantages of Zone Pricing Prices in zones are set within certain geographic areas. The more distant the area from the place of production, the higher the transportation costs and, accordingly, the higher the price. Now, before we get into the implementation and examples of zone pricing, let's talk about its pros and cons. Advantages of zone pricing: helps you divide customers into useful segments; enables you to pay transportation costs; allows you to recoup shipping costs. Disadvantages of zone pricing: customers on borders of different zones may suffer from different prices; distant clients may prefer competitors over your company; it adds extra layers of bookkeeping to keep track of different prices in different zones. The technique is very popular among businesses due to the benefits mentioned above. Let's proceed to the steps to consider when implementing this strategy. How to implement zone pricing Use information effectively Consider competitor alternatives Integrate item-specific strategies Consider technological solutions Let's get into how to implement zone pricing in your business. 1. Use information effectively When giving a thought to a zone pricing strategy, ensure that you're using data that can help you do it correctly. Find out how much money customers are willing to pay for your products or services. This willingness is influenced by the following factors: income level, cost of living, and whether it’s easy for your customers to buy the same product elsewhere. Analyzing your local customers' characteristics and demographics information allows you to understand the preferences of local customers, price sensitivities, and product affinities across stores. 2. Consider competitor alternatives Once you understand what drives customers to pay for certain products, analyze your business rivals and the alternatives they offer your consumers. You should understand which competitors matter the most in your industry. The composition of retailers, their price levels, and logistics costs will define your local price level. 3. Integrate item-specific strategies Mass retailers with multiple departments, restaurants, or specialty retailers can adjust to item-specific strategies. Let’s take sporting goods, for example. The sections with apparel and shoes will be more influenced by nearby stores with shoes and apparel than basketballs and sections for other basketball equipment. People have high price awareness on certain key value items (KVIs) that influence total store value perception and customer traffic. Products with less price awareness and sensitivity can float up a little to support the investment into KVIs. For example, grocery stores use the "everyday low prices" approach on reference products while prices on less popular products remain the same or even rise. Zone pricing strategies enable specific categories to follow a different set of zone rules than others. 4. Consider technological solutions Once the strategy has been developed, pay attention to its functioning. Third-party tools enable your pricing teams to handle the problems. You can simplify the process by using deep analytical tools that provide you with the agility and nimbleness necessary for retailers. Now that you know how to implement this marketing technique grab some inspiration from the examples below. Examples of Zone Pricing The following examples will give you a better understanding of how you can incorporate zone pricing in your greater marketing strategy. Let’s take the gasoline industry, for example. Suppliers often sell the same brands of gasoline to retailers at different costs. The price is based on the “price zone” in which the retailer is located. These zones aren’t established by the law but by suppliers' needs (transportation costs, additional fees, etc.). Let’s imagine a home decor manufacturer based in Mexico that ships lamps, paintings, mirrors, and vases into the US. The manufacturer can create four pricing zones, and people from different locations will have to pay different costs based on the company's criteria (transportation costs, additional fees). Eventually, a client in Texas who has ordered 10 paintings will receive a smaller bill than a client who has placed the same order but from New England. All in all, zone pricing is a marketing strategy that enables companies to segment their product offerings into individual "price zones" based on local preferences, habits, and price sensitivities. Usually, the higher transport costs, the greater the number of zones.
WhatsApp marketing strategy
WhatsApp marketing strategy
A WhatsApp marketing strategy is a set of methods that utilizes WhatsApp messenger as a platform for brand promotion and direct communication with your target audience. In this video, Alex, a marketer at LIKE.TG, shares killer tips to create a powerful WhatsApp marketing strategy. WhatsApp is a free mobile application that allows people to chat, share files and images, make voice and video calls. It is trendy in regions with high SMS charges, like South Africa, Brazil, Mexico, India, and Malaysia. In February 2014, Facebook acquired WhatsApp for $19 billion. WhatsApp is an excellent channel that allows you to directly engage with customers since it provides two-way online communication, just like in real stores. Let’s find out why it’s a good idea to use WhatsApp in your overall digital marketing strategy. 7 Reasons to Include WhatsApp in Your Marketing Strategy It has worldwide coverage It offers high user engagement It is based on permission marketing It allows you to personalize your communication Its features can be used for marketing It provides an app for running a business It provides a Business API A common digital marketing best practice is to make your business present where your potential clients already hang out. Social networks and messengers are the places where users spend most of their time online, so using WhatsApp you can communicate with audiences around the globe, provide customer support, confirm purchases, send shipping updates, etc. Seven reasons that WhatsApp is worthwhile for marketers. Here they are: It has worldwide coverage. WhatsApp has more than two billion active users from 180 countries. On this platform, you can surely find an interested audience to tailor your products and services to. According to Statista, people from 15 to 45 make up 66% of the US’s WhatsApp audience. This allows you to establish relationships with a young and active audience in terms of shopping. It offers high user engagement. According to Statista, around 58% of global users check WhatsApp a few times a day. That means that you can regularly engage and build rapport with a considerable portion of the WhatsApp audience. It is based on permission marketing. You can only send messages to people if they share their phone numbers with your brand or initiate a conversation. Though permission marketing rules are strict, such a policy results in a segmented audience and ensures that your company has highly interested leads. It allows you to personalize your communication. WhatsApp allows you to collect users’ behavioral data, including data about their interests and shopping preferences. Based on this information, you can better tailor your promotions in the future and offer the most relevant goods at the right time. Its features can be used for marketing. For instance, with the WhatsApp groups feature, you can make up to a 256-member group of your most valuable clients and send them exclusive offers and early-bird promo codes for events to celebrate their loyalty. The broadcast feature allows you to send video announcements to multiple contacts at once. It provides an app for running a business. WhatsApp Business App allows you to create your business profile, provide your hours, link to your website, and other necessary details about your brand. WhatsApp Business also offers useful features, like a product catalog, quick replies, and automated welcome and away messages at no cost. With these functions at hand, you can also improve your customer care team. It provides a Business API. It’s designed for medium and large businesses. With it, you can send automated updates, notifications, and shipping details to your contacts. For these reasons, WhatsApp may be worth your while, so let’s have a closer look at how to implement this channel into your plan. How to Develop Your WhatsApp Marketing Strategy Learn the Opt-in Rules Download WhatsApp Business App Create a Business Profile Promote your WhatsApp Profile and Opt-in Users Set Up Quick Replies Use Automated Messages Organize Contacts and Chat with Labels Create a Catalog of Your Products The following eight steps are the basis of every WhatsApp marketing strategy. Let’s review them so you could better understand how to approach this channel. Step 1: Learn the Opt-in Rules Although WhatsApp opened the doors for businesses, user experience is still in sharp focus for this company, unlike Facebook. The rules for marketers are quite strict, and, in essence, they require brands to build transparent relationships with opted-in users. Let’s quickly review the five key regulations: Companies must get active agreement from people. Only users can initiate communication with brands either by sharing their phone number with you or by contacting your brand directly on WhatsApp to communicate their consent. The opt-in subscription forms must include your WhatsApp name, logo, information about the content that users will receive, and a field for entering their phone number. A checkbox that lets users subscribe to various channels at once doesn’t count as the WhatsApp opt-in. Brands must clarify the types of information users will receive after they sign up. It may include shipping updates, transaction notifications, new content and product promos, etc. If you decide to send other types of messages later, you need to inform users and ask for their permission again. If users call your company on WhatsApp for customer support, that doesn’t count as opting-in. In this case, you are not allowed to follow-up with any messages except one within a 24-hour window, and it can only include details about the solution to their problem. Any presentation of the WhatsApp brand in your marketing campaigns, including opt-in forms, announcements, banners, etc., must comply with the WhatsApp branding requirements. Step 2: Download WhatsApp Business App When you decide to promote your brand on WhatsApp, you should start by downloading WhatsApp Business App. It’s designed for small businesses and provides user-friendly features, like automated messages, quick responses, and contact and chat sorting to manage communication with your audience. Aside from the Android and iPhone versions of WhatsApp Business, you can also use a web version to work on a laptop. Step 3: Create a Business Profile A WhatsApp Business profile is similar to a Facebook Business page. Name your profile, upload a profile picture, add your contact number, a short description of your brand, select your location on the map, your business category, and hours. Step 4: Promote your WhatsApp Profile and Opt-in Users Add subscription forms to your landing pages and blog. Remember, according to WhatsApp regulations, you can’t use one form for several channels at once. It should also include your WhatsApp name and logo, inform users about content they will receive, and have a field for entering a phone number. Another effective option is to gather more contacts is click-to-WhatsApp ads on Facebook and Instagram. Post such advertisements to your Story and NewsFeed on both social networks. To create them, connect your Facebook and WhatsApp profiles, and use Facebook Ads Manager. Here are three types of click-to-WhatsApp ads. The first one displays in the Instagram Feed, the second in Stories, and the last in Facebook Newsfeed. They all include the advertiser’s branding, the “sponsored” disclaimer, a short descriptive text, a large image, and a CTA redirecting to a WhatsApp profile. Step 5: Set Up Quick Replies Once your promotion brings some users to chat with your brand, analyze their FAQs and set up quick replies to speed up communication and optimize routine actions. To create a quick reply, follow these steps: Tap “More options,” then “Business tools,” and “Quick replies.” Set a text message or a media file as a quick reply. Choose a shortcut for a quick reply. Create a keyword to find it quickly. Check an example of quick replies usage in WhatsApp. To reply in this case, you need to type in “/w”, and the answer will be “What kind of cake would you like?” There are some limitations you should keep in mind when managing your WhatsApp quick replies: The maximum number of stored quick replies is 50; The maximum length of a quick reply shortcut is 25 characters; Leading and trailing spaces from a shortcut are removed; All shortcuts must begin with a forward slash - '/'; The maximum number of keywords allowed per quick reply is 3; The keywords may not contain spaces or any of the following characters: '!', '#', '$', '%', '', '(', ')', '*', '+', '-', '.', '/', '\', ':', ';', '<', '=', '>', '?', '@', '[', ']', '^', '_', '`', '{', '|', '}', '~', '×', '÷', '"'; The maximum length of a keyword is 15 characters. Step 6: Use Automated Messages Set an away message when you can’t answer so your customers know when to expect a response. You can also create a greeting message to introduce your customers to your business. Follow these steps to create such messages: Tap “More options,” then “Business tools,” and “Away message” or “Greeting message.” Set a text message. Schedule when it should be sent. Choose what type of recipients will see this message. Step 7: Organize Contacts and Chat with Labels Label your contacts, chats and messages with different colors to organize them based on your business goals. For instance, you can divide chatting with new customers from chats with pending payments, or new orders from completed orders. You can set up different quick replies to better communicate with people at different stages of their buyer’s journey. It’s easy to use Labels in your WhatsApp marketing. Tap and hold a message or a chat, tap on the label symbol, and choose one of the pre-designed labels or create a new one. You can create up to 20 labels. Step 8: Create a Catalog of Your Products Add a price, product description, and number to every product in your catalog. You can upload up to 500 products. With this feature, you don’t have to redirect your customers to a website and repeatedly send product information and photos to every interested contact. You can share your catalog to promote your products and services on other social networks. Medium and large businesses can utilize the WhatsApp Business API. It offers more profound features and solutions for handling communication with the audience on WhatsApp. Let’s finish this guide by getting some actionable tips to properly strategize your business activity on WhatsApp. 5 Best Practices to Create a Killer WhatsApp Marketing Strategy Run your business communication more informally Regularly update your status Use WhatsApp to deliver customer care Send short promotions with a website link Create a WhatsApp link We’ve collected four tips that will help you plan your WhatsApp marketing efforts more effectively. Here they are: Run your business communication more informally. Many people use WhatsApp for informal interactions with their friends. It’s essential to make your business messaging trustworthy, genuine, and creative. Make your marketing campaigns in line with the personal style of this channel, staying professional at the same time. Regularly update your status. Your WhatsApp status allows you to post business-related quotes, announce events, create promos, and share links that redirect to videos on other social media sites. Make sure the status text is short, informative, and eye-catching to attract more views. Use WhatsApp to deliver customer care. It’s a great idea to use WhatsApp messages, voice and video calls, and media files to solve customers’ issues in real-time. This direct and personalized approach helps you better engage with your audience and show that you’re a trustworthy business that doesn’t hide from users when they are dissatisfied or have problems. Send short promotions with a website link. Short WhatsApp messages with links to a website help you bring your contacts to certain pages. Such messages tend to have a high click-through rate and are significant in motivating more leads to shop with your brand. Create a WhatsApp link.It will help users start communicating with your brand easily. They won't need to look for your phone number, type it and start a chat. They only need to click your link, and they will receive a pre-made message. LIKE.TG offers a tool to create a WhatsApp link quickly and for free. Add it to your landing page, website, social media, chatbots, and email campaigns. Alternatively, you can generate a QR code and place it on your physical ads to let more people join your brand offline. Congratulations, now you know why WhatsApp is an excellent channel for personalized marketing. Create a strategy to meet your business goals and the platform’s unique style.
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