Category: Chat

The most remarkable transformation the digital revolution brought upon us is the need to collaborate. We saw hints of this back in 2006 with the release of Google Docs, which allowed users to write and collaborate in real-time.

As years passed and network speeds became faster, Cloud collaboration is now at an all-time high. It’s incredible what we can achieve when working together, learning together, and building together.

COVID-19 has been a catalyst for accelerated digital transformation. While one-stop solutions may be ideal for organizations, the ability to tap into multiple sources of expertise is what brings out the most impactful solutions.

We’re at our best when we collaborate, and with our partners, we aim to deliver a superior customer experience for their clients. Whether that’s ensuring conversational automation has been embedded within current workflows to enhance customer experiences, using Live Chat to forge better connections, or simply becoming a source for market feedback to improve organizational health. Collaborating through partnerships will always bring out the best for global businesses looking to invest in this space.

As a Platform, we believe this is the right time to up the ante on our collaboration model. And we’re stepping these efforts up with our newest partnership program, the Preferred Partnership model. Here’s how it works.

The future of business

The primary focus of any organization is to be efficient. Businesses are constantly on the lookout for ways to optimize both internal and external workflows. Hence the massive shift towards AI-enabled automation in industries such as banking & insurance, e-commerce & retail, the public sector, manufacturing, warehousing, and more.

Time is of the essence, and with the highest-in-class conversational tools, you can unlock access to a broader market to maximize profits without compromising on customer experience.

Just as how our platform has created revenue streams during these unprecedented times, the Preferred partnership opportunity passes the baton for any solutions provider looking to build engaging conversational solutions in their respective domain.

Our platform has achieved triple-digit ROI gains for our current partners, which speaks volumes of the market growth. Tapping into our newest partner program might just be the big break you need.

Now, this isn’t just any ordinary program. It’s the beginning of a relationship between your business and Engati. Your success is our success, so we’re willing to support you and your business every step of the way.

Trending Bot Articles:

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

Why partner with Engati

Leading the forefront with best-in-class features, like no-code deployment, a secure, enterprise-level NLP Engine supporting native and custom integrations, Engati has strategically equipped partners with tools that keep businesses moving forward, thus increasing ROI.

Here are a few ways Engati can benefit those in search of a good partner relationship.‍

1. Earn more revenue

Say goodbye to the days of cumbersome earning processes via commission models. And instead, say hello to direct earnings. As a preferred partner, you will be provided with “preferential pricing” and have the flexibility to create your own pricing strategies.

In addition, the revenue from value-added services to clientele around bot-building and solutioning will also help bolster your revenue. We encourage partners to use and expand the platform’s development process to create additional revenue streams not mentioned above.

If need be, our team would be glad to help you set up a robust pricing strategy by incorporating our learnings and experiences in this space. With our support, you can now set up your clients with a trusted, customizable, and intuitive solution to run and grow their businesses.‍

2. Access to a broader market

We understand how difficult it can be to onboard and nurture a customer, especially to those one not in favor of digitization. Our team of experts is on standby to back you up during all sales calls, transforming your leads into high-value customers having partner loyalty.

We also provide marketing material to help you market product solutions to your customers on social media and other relevant channels where your customers meet.‍

3. Our leads, your customers

With Engati’s upcoming Partner Directory, you have the opportunity to get showcased on our website. We understand that partners bring a lot of knowledge of current market affairs to the table, along with a long-standing experience of handling customers regionally and according to their specific industry needs.

At Engati, we look to leverage this by passing relevant leads landing on our platform directly over to you to reap the benefits of having our leads as your customer.‍

4. Learn the way you want

The Engati Preferred Partnership Program allows you to become a solutioning expert. You can now develop and test your skills with an extensive support system that includes tutorials and guides to enhance your technical and business expertise.

You’ll also have a dedicated team of support to back you up as you start your journey with Engati. You can contact us through our dedicated support email and our website bot. Partner Support can help you navigate our Partner programs, resolve issues for your clients, and grow your Partner business.‍

5. Enhance your employee experience

When finding a solutions partner, a determining factor is how it can drive productivity within the organization. Most platforms that are on the market require heavy coding that can quickly tire employees out.

However, with Engati, bot-builders no longer have to rack their brains with testing and debugging the platform. The low-code platform takes care of it, driving productivity to an all-time high while enhancing your employee experience.

Here are a few ways that we help partners and their employees to build better solutions.

• Extensive integrations
  You can integrate Engati with your favorite tools and platforms. Ranging from native integrations like Google Calendar, Zapier, Salesforce, etc., to custom integrations, like Basic JSON API nodes, advanced JSON, and the Cloud2Enterprise Bridge for flexible deployment.
• User-friendly platform
  The Engati platform checks all of the boxes of being easy to use and interact with and responding in a human-like fashion with automated training, FAQ improvement, contextual responses, and more.With our state-of-the-art proprietary NLP Engine, Engati chatbots automatically improve with each response so that your teams don’t have to keep an eye on them. The DocuSense technology and enhanced sentiment analysis capabilities empower your chatbot to make complex decisions without human assistance.
• 14 deployment channels
  Engati can serve your customers on their preferred channel. You can deploy the solution over 14 channels, including WhatsApp, Facebook Messenger, and Telegram.
• Support for over 50 languages
  With only 25% of netizens understanding English, you can enable multilingual conversations with Engati’s NLP. We’ve equipped the NLP Engine to communicate in over 50+ languages, including Right-to-Left (RTL) languages like Arabic, Persian, Urdu, and Hebrew.

And many more… Click here to learn more about Engati’s defining features.‍

6. Your insights shape our platform

Joining our program means being a part of a community. With Engati, you have a platform to voice your opinions to better build and forge a partnership that meets your requirements.

We look forward to building a forum for our partners to regularly check in with the partnership team to make your journey with Engati as seamless as possible. Your feedback and learnings from using the platform will enable us to align our product with the voice of your customers.‍

Conversational Automation: It starts with Engati

Getting started with Engati’s preferred partnership model is simple. Rather than creating an entirely new platform, all you have to do is provide our experts with details such as your official partner name and your existing clientele, and you’re good to go. We offer extensive personalized training and provide you with a WhatsApp number for easy deployment for onboarding.

You set the pace of your deployment- the sooner you share these details, the faster it is for us to get you started and reap the rewards of our platform. We’ve seen some of our clients set up their partner portal and build solutions for clients in less than 2 days! It’s that simple.

So, are you ready to partner up and experience what Engati’s Preferred Partnership program can do for you? Click here to learn more.

This article about “Investing in conversational automation | Partner with Engati” was originally published in Engati blogs.

Don’t forget to give us your 👏 !

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Investing in Conversational Automation was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hey, I recently made a notebook tutorial on training a Rick & Morty chatbot but feedback suggested it was too long and complicated. So here is a much simpler version! It lets you deploy any pretrained chatbot on huggingface really easily. You’ll be able to chat with it through a mobile app, just like in the picture below. The notebook can be found here Hopefully someone finds it helpful Thanks! https://preview.redd.it/o5eo8fgx54h71.png?width=1530&format=png&auto=webp&s=b58f22c2e8f017d6ef47ac27b695487c301b856d submitted by /u/rsedlr [link] [comments]

submitted by /u/sp_jamesdaniel
[link] [comments]

submitted by /u/Botmywork [link] [comments]

submitted by /u/Content-Decision-737
[link] [comments]

Rasa is a python framework that helps us to build any kind of Chatbot easily. It based on NLU (Natural Language Processing) which offer the possibility to understand what the user want. Let’s discover it.

Firstly you must know how the Chatbot works. The Chatbot is a conversational agent which talk with a client or user and provide answers to the users’ requests independantly of the human intervention.

The Chatbot is composed by some specifics terms that we will discover:

Intents: It represent intentions that the user want to express when he submit his message to the Chatbot. Inside the intents, we provides somes phrases that the user may ask and we also provide some responses that the Chatbot must use to answer to the user. It’s the work of the Developper here.

Entities: Entities are keywords that represent some specifics datas that the Chatbot may use to perform the discussion with the user. Entities are used to extract some values inside the user input (message).

Now, we know how Chatbot works, we can switch to the Rasa Framework.

Rasa is split into two python librairies like Rasa NLU and Rasa Core. The first one is the Natural Language Understanding and use the intents to understand what the user want and entities to extract some specifics values to make the conversation more interesting, after Rasa NLU have understood what the user want and extracted somes values, it send it to the next one. Rasa Core receives the data sended by Rasa NLU and process it to find the correct answer that it should send to the user as output, For having a response, it will look for the responses that the Developper provided to him inside the intents.

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1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

Explanation:

1. The User submit the request (a message is sended to the Interpreter)
2. In the Interpreter section, we have Rasa NLU which capture the request, and extract intents to understand what the user want, and in the same time it extract some specifics keywords (entities) which represent the important data. Then it send the result to the Tracker. The rest of the elements below is contained inside Rasa Core.
3. The Tracker here, is used to store the conversation history in memory. By this fact, the Chatbot should know in where level the conversation is, it maintains the conversation state.
4. After that, the Policy comes; it choose the action which will be execute at every step in the dialogue, regarding the history of the conversation.
5. The Action here, look inside the history for consulting the state of the conversation. This step can trigge another action.
6. The action is executed and an ouput is generated (message from the Chatbot) to the user.

Now you have a brief understanding on how Rasa Framework works, you can now decided to learn about how you can build your own chatbot using this framework.

just check out the documentation of Rasa.

for more explanation: https://rasa.com/docs/rasa/playground

Thank to you reading.

Don’t forget to give us your 👏 !

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Understand how Rasa Framework works was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

A conversational platform strategy not only entices customers but also ensures an effective solution for employees and partners. Everyone is aware that Chatbots use artificial intelligence to impersonate human conversations.

With time, the technology has updated, and it now offers advanced solutions with improved AI-enabled language capabilities. By the year 2022, more than 70% of skilled workers will interact on these platforms daily. AI Chatbots in business is the smartest way to interact with customers.

Companies today look at customer satisfaction as a crucial element in conversational AI technology that assumes importance in a skilled manner. As a result, chatbots are a viable adoption to AI, and more than 40% of millennials use chatbots to connect to different businesses.

But for startups, the implementation of conversational AI can be complex, so it’s better to start with the no-code AI technology. No code space chatbots platforms empower the sections to take innovation and software development into their own hands.

Today, the future of coding is no coding — that is the new buzz phrase in chatbot technology. When demand for software exceeds the coders, no code technology is adapting to software developer skill shortage. A Forrester report predicts that no code AI technology will grow from 3.8 billion in 2017 to 21.2 billion in 2022.

Google has also jumped on the wagon by acquiring the technology on its Google Cloud platform. It proves that the potential of no code works as a mainstream solution for software development and Chatbot technology.

Trending Bot Articles:

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

In this article, we will explore why your business software should take advantage of no-code Chatbot technology. By doing so, you will be able to make a feasible decision about whether to implement and integrate the technology.

What is No code AI Chatbot technology?

About 40% of companies state that AI Chatbot technology and expertise are expensive. No code AI solutions help make the technology accessible and available at a low cost. It aims at using a no-code development platform with code-free features, visual elements, and a drag & drop interface.

With the help of the features, you can deploy Machine Learning models with Artificial Intelligence. It allows non-technical users to classify the data and build accurate models that help make predictions in the process. The business adoption for no code Chatbot AI is implemented based on the demand.

Why should you use No-code AI for business?

Building AI models requires training and time. But no code AI reduces the time to build the AI models and enables companies to adopt and integrate with other technologies.

No-code AI solutions have not replaced the data science methods or the popular machine learning technology, but the popularity has increased with time. With the increase and flexibility in new solutions, widespread integration helps to adapt the technology.

No coding technology for chatbots needs to be adopted at a faster pace for good results. On the contrary, it reduces the entry barriers for startups and established companies. So let’s dive into the reasons why this technology is going to be big in 2022.

10 Reasons No-Code AI Chatbot Is Going to Be Big in 2022:

• Flexible to accommodate different industry demands
• Reduces complexity of IT operations
• Increased productivity
• Changeable codes
• Transition process is smooth
• Address the developer skills gap
• Better tactical alignment
• Improved business agility
• Strengthens customer support
• Increased security function

1. Flexible to accommodate different industry demands

No code platform features are easy to understand compared to the coding features in AI technology. They are flexible, making them practical to implement in any organization that wishes to incorporate chatbot technology.

For example, Chatbots integrated with insurance companies will increase the reach and adaptability. In addition, technology has the powerful ability to impact working and organization to increase the engagement level.

It helps the company to expand geographically and reach potential customers. From payment service providers to railway service operators, no code AI Chatbots empowers every sector at a low cost, which is an advantage.

2. Reduces complexity of IT operations

No code platform reduces the strain of IT development. You don’t need to create an app for multiple platforms, as you can make an app while regulating the governance. As a result, you can accelerate digital innovation and transformation by relying on no-code technology and reducing dependency on technical developers.

You can skip the hiring of expensive full-stack developers and escape the route from the debts. Companies can rely on their in-house IT team to do the job with no coding AI solutions. Reduction in complexity of developing a platform helps companies focus on other essential functions.

3. Increased productivity

The applications that are built on no-code technology don’t burden the IT team. They can make the apps at a faster pace without hesitation, without taking weeks or even months. Most IT teams work on the app in few hours, as there is no coding feature.

It helps increase employee productivity so they can work skillfully on other IT tasks. Compared to the traditional app-building ways, the no-code platform reduces the hand-coding of various languages and minimizes the risk involved. With the technology, you will witness increased IT output from your team.

4. Changeable codes

Developers who work with codes face a lot of issues while changing the code structure. The problem with traditional coding is; you can’t change the functionality or the feature within the code structure. It happens more if the language or the framework is new.

With no code AI technology, you won’t have this issue. You will be able to change codes or with different functions. If you need to change something, implement a new logic structure in the code and process it. You will have the change ready in minutes or a few hours. Changeable codes can save your coding efforts.

5. Transition process is smooth

The benefits of the no-code AI platform depend on the speed. Building a bot for email only takes a couple of different steps. First, it includes synchronization and integration of emails from the CRM platforms or Microsoft software.

Once you upload your emails with the labels in the no-code platform, AI will construct the machine learning (ML) structure and connect to Outlook or other platforms via the exchange services. Once your step is complete, the email assistance will be ready to accept the correspondence. You can enhance the bot feature to boost the automation feature at a later stage.

6. Address the developer skills gap

Complex technology is being distilled into simple structures, which is bridging the gap between development and result. With a no-code platform, you don’t need to hire the best software developer in the company.

More prominent companies are taking advantage of the platform by targeting the implementation in IT operations alongside the basic features. The software can help you converse with your customers without spending elusive money on development tasks. No code AI development market is expanding rapidly, and by 2022, most companies will implement the technology.

7. Better tactical alignment

The technology provides a closer alignment between different Chatbot outputs and business requirements. All the traditional needs get lost between communication and technology. Chatbot developments without the need for coding enable cross-functional participation.

It ensures that the end product aligns with the client’s expectations. Business users with deep domain proficiency can define different bots without explaining the ideas to customers or others. The tactical alignment results in a better outcome that enables a better technical foundation for the company.

8. Improved business agility

Using the no-code AI technology, you can develop chatbots faster than using the traditional coding structure. The conventional methods require the coding to be done from scratch, but within no-code spaces, almost all building blocks are available at the same place. As a result, the focus can go on the chat features than on time-consuming core functions.

Your IT team will not focus on the basic features; they can rely on the advantage of a ready structure that helps in the smooth functioning of the app. It guarantees complete compliance without focusing on multiple levels. Furthermore, with this platform, you can monitor all the modifications you make to the app.

9. Strengthens customer support

Scalable Chatbot platforms across multiple channels understand different languages and engage with potential customers in a human-like manner. No-code platforms are accessible, and professionals and Non-IT professionals can work on the platform to increase customer retention. Customer retention improved by a mere 5% can raise profits considerably.

As customer demand is ever-evolving, the chabot feature strengthens the customer support function. It offers a smoother and more credible experience for clients and people who show interest in products. In addition, the smart solutions enable 24/7 customer care features.

10. Increased security function

Another reason — you must deploy no code Chatbot is security. With the latest updates and enhancements in IT developments, the threats are getting severe. Most websites and applications are vulnerable to security threats, which cause loss of data.

Poorly coded chatbot features can make the business vulnerable to different hacks and attacks. Codes developed in isolation or with specific structures can leave businesses more susceptible. Platforms and companies that adopt Chatbots without coding ensure proper security as there is no threat to structure.

Final recap,

Customer engagement is hard to achieve. A chatbot is an essential tool for business communication and customer support. Chatbots are complex to build, as the developer has to use ML and AI algorithms with the data to create Chatbots and apps. Any mistake in the structure or code can have a catastrophic effect on the app solution.

No code AI Chatbot platform can provide accurate implementation without building a bot from the start. More than 57% of companies use no-code chatbot platforms for business, and the numbers will scale higher in the coming years. The trend is going upwards, and it is time you reap the benefits of the technology for your business.

Don’t forget to give us your 👏 !

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10 Reasons No-Code AI Chatbot Is Going to Be Big in 2022 was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Hey, I made a notebook tutorial to try and make it as simple as possible to train and deploy a DialoGPT bot. It uses dialogue from Rick and Morty to train a Rick bot and then deploys the bot onto Chai, a platform for creating and interacting with conversational AI’s. By the end of this tutorial you will have your very own chatbot, like the one pictured 😎 The notebook can be found here Thanks! https://preview.redd.it/rwkat98e2pg71.png?width=1530&format=png&auto=webp&s=5f0bb0d33aecedda53f7a85059f0c145f1fd7225 submitted by /u/rsedlr [link] [comments]

What is the most challenging aspect of marketing? Its conversions, correct? Identifying your potential customer, predicting their interest, engaging, and nurturing them for an ultimate buyout is not that easy.

This is where Artificial Intelligence can help you analyze the customer pool, identify and segregate lead. Further, you can even nurture them using AI-based algorithms, which helps in delivering high value.

Take an example of the famous inbound marketing giant Hubspot. It has leveraged chatbots to improve qualified lead generation by 182% and increase in-chat engagement by 75%. So, Ai-based chatbots are the new age wizards for your marketing needs. First, however, you need to know how and when to leverage a chatbot for lead nurturing and conversions.

Here, we will discuss both starting with how!

Top Ways to Leverage Chatbots for Lead Nurturing

Chatbots can power your customer support, enhance customer journeys, and even help you nurture leads. It uses technologies like Artificial Intelligence, Natural Language Programming, and Speech Recognition. As a result, chatbots have become a beacon of AI-based marketing, where data aggregation, analysis, interactions, and smart product recommendations are seamless.

AI-based marketing can help you in conversational excellence. When it comes to conversation-based marketing, it has three pillars,

1. Listen to your customer
2. Deliver personalize experience
3. Engage, engage, engage

Let’s discover how chatbots merge conversational excellence with intelligent AI algorithms to nurture leads!

Trending Bot Articles:

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

#1. Customer Segmentation

Nurturing your leads needs segmentation of customers. It will help you to personalize the content as per the segment of the customer. However, segmentation needs data aggregation and analysis to create buyer patterns.

Chatbots can do both easily by extracting data through conversations with users and analyzing them through the backend algorithms. The process starts with data aggregation from users, which is a crucial aspect of chatbot conversations. A Delloite survey suggests that most of the chatbots used to carry out the function of maintaining master data(especially addresses and phone numbers)

Moreover, these chatbots can also enable customer segmentation based on demography, psychography, geography, and behavioral changes. Interactions of users with your business largely depend on the behavioral data. So, it is essential to design the entire segmentation process for optimized data accumulation.

Here is a process that you can follow,

• Step-1- Define target personas
• Step-2- Identify the differentiator
• Step-3- Chatbot interactions that aggregate data per differentiator
• Step-4- Analyze the customer data collected from the chatbot interactions
• Step-5- Input data patterns into the marketing platform
• Step-6- The platform uses differentiators and patterns to offer recommendations

Define Customer Persona — Blog Banner (canva.com)

Customer segmentation is the first process towards the identification of leads which you can nurture through a chatbot.

#2. Lead Identification

Every interaction from a customer with your business does not qualify for a lead, and that is where a chatbot can come in handy. However, identifying a lead from several interactions is not that easy, and chatbots can leverage AI-based technologies to identify specific patterns to segregate leads.

For example, if you are looking to find leads for your roofing business, you need to segregate between leads which can be a person(B2C) or a company(B2B) with an interest in your product or services. These leads can be marketing qualified or sales qualified, but identifying them is key to figuring out the conversations with each lead to nurture them.

Now that you have qualified leads and segmented leads executed, the next step will be to personalize further conversions for specific data aggregations.

#3. Customized Data Aggregations(Forms vs. Bots)

One of the most conventional approaches that most organizations used for data aggregation was forms. To target them with specific promotional campaigns, customers will fill details in the form that marketing teams can leverage for lead identification and segregation.

However, it is not an efficient way of gathering data, plus filling forms is a tedious job for customers. Here, a chatbot can help you aggregate data without the hassle of a form. Apart from the engagement, another essential fact is the amount of data that chatbots can extract for you.

Forms have limitations of fields that chatbots don’t have, and most importantly, these bots can interact with a user than just asking to fill a form. For example, the average conversion rate of the lead generation form on the landing page is 2.35%. A chatbot, on the other hand, offers 10%-100% conversion rates.

So, a chatbot can help you gather data for lead generation and gather crucial information to nurture the lead up to the point of sale. Though your ultimate goal may be to reach the sales part, it never ends there. You will need a reliable customer support system to enhance the customer journey and keep them returning to your products or services.

But, the question that will come to your mind will be; are chatbots enough?

#4. Hybrid Customer Support

Customer support systems are great to help your customers, but they lack efficacy. According to Statista, 27% of American customers are frustrated due to ineffective customer service. The same report suggests that 12% of American customers point out lack of speed as the first factor that frustrates them while interacting with businesses.

Customer support is also one of the most significant customer journey touchpoints you need to ace for lead nurturing. Chatbots can enhance the entire customer support system through a hybrid approach. For example, chatbots can offer initial resolutions, and for expert advice, the customer support ticket can be further handled by a customer support executive.

A hybrid approach can,

• Reduce response time
• Help in the aggregation of customer’s queries efficiently
• Resolve fundamental issues through self-help tutorials offered through chatbots
• Enhance customer support process flow

Chatbots can also enable chat personalizations, the lead qualifications, identifications, segmentations, and support for queries.

#5. Chat Personalizations

Chatbots are considered one of the most effective marketing tools for user engagement. The reason is simple; these AI-based tools offer chat personalizations. Organizations can enable personalized recommendations, specific services, and even suggest solutions to customers through chatbots.

Here, businesses can integrate chatbots into their CRM(Custom Relationship Management) systems to enhance personalizations. According to a report, 63% of customers stop buying from a brand that did not use personalization strategies. So, ignoring the personalization aspect of marketing is not an option.

Some of the best CRM tools that can help in chatbot integration are,

• Salesforce
• Keap
• Zoho CRM
• Oracle NetSuite CRM
• Hubspot CRM
• Zendesk
• Insightly

Conclusion

Chatbots are the future of conversational marketing, and integration with a reliable solution can offer endless possibilities. First, however, you need to configure targeted profiles and define your audience to leverage lead nurturing. Another essential aspect to keep in mind is to develop the logic of the chatbot in sync with your marketing goals for optimal results. So, don’t waste time on conventional forms of marketing when you can program your success!

Don’t forget to give us your 👏 !

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How to Leverage Chatbots for Lead Nurturing and Conversions? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.