React JS is a popular web framework for creating user interfaces. The Facebook-owned framework is becoming hugely popular among developers. The reason being — Great documentation, developer friendliness and it is faster than most of the similar frameworks such as Angular.

In this post, we will be going through step by step procedure of integrating Dialogflow bot in React JS websites.

Prerequisites

To get started, you would need a Dialogflow bot or working knowledge of Dialogflow and React JS. To integrate the chatbots with React JS, you will need a Kommunicate account. All the aforementioned tools have free to try out. Additionally, Node should be installed in your system.

Steps to integrate Dialogflow bot in React JS websites

I am going to explain how I connected Dialogflow and React JS with the help of Kommunicate.

Note: To keep it very simple and straight this tutorial explains with really basic and plain code development. Also to mention, this project can be found on my Github.

Step 1: Create your Dialogflow bot

To get started, you can easily create a chatbot in Dialogflow. It is a very intuitive yet powerful chatbot building tool. Here’s a sample available to help you get started with your Dialogflow bot. To go further, you can create your own Intents & Entities.

Trending Bot Articles:

1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

4. Your Path to AI — An IBM Developer Series

Step 2: Integrate Dialogflow chatbot with Kommunicate

To integrate your Dialogflow bot in Kommunicate, log in to your Kommunicate dashboard and navigate to the Bot section. If you do not have an account, you can create one here. Locate the Dialogflow section and click on Integrate Bot.

Now, navigate to your Dialogflow console and download the service account key file. Here are the steps to locate the file:

1. Select your Agent from the dropdown in the left panel.
2. Click on the Settings button. It will open a setting page for the agent.
3. Inside the General tab search for GOOGLE PROJECTS and click on your service account.
4. After getting redirected to your SERVICE ACCOUNT, create a key in JSON format for your project from the Actions section and it will get automatically downloaded.
5. Now upload the Key file.

In the bot profile section, you will be able to give your bot a name. This name will be visible to the users whenever they interact with the bot. Process further and fill the details.

In the last step, you will be asked to enable or disable the chatbot to human handoff. If enabled, the conversation will be passed on to a human in case the chatbot is not able to answer the question.

Complete the setup and then you can check and test your newly created bot in two places:

1. Dashboard →Bot Integration → Manage Bots: You can check all your integrated bots here
2. Dashboard → Bot Integration: Your Dialogflow icon should be green with the number of bots are you have successfully integrated. You will also have the option of testing your newly created bot here. (See image below)

Step 3: Create a React app

Create a new React app (my-app) by using the command:

npx create-react-app my-app

Step 4: Now, navigate to the my-app folder

cd my-app

Step 5: Create new file chat.js inside src folder

Once you create the chat.js, add the below code in componentDidMount. The below code will launch a chat widget on your website with the integrated Dialogflow bot. Make sure to replace <YOUR_APP_ID> with your Kommunicate application ID.

You can get this code in the install section of Kommunicate as well.

(function(d, m){
        var kommunicateSettings = {"appId":"<YOUR APP_ID>","popupWidget":true,"automaticChatOpenOnNavigation":true};
        var s = document.createElement("script"); s.type = "text/javascript"; s.async = true;
        s.src = "https://widget.kommunicate.io/v2/kommunicate.app";
        var h = document.getElementsByTagName("head")[0]; h.appendChild(s);
        window.kommunicate = m; m._globals = kommunicateSettings;
      })(document, window.kommunicate || {});

Here’s a screenshot of my code editor for the same:

Step 6: Import KommunicateChat component in App.js

Import the KommunicateChat component in your App.js file. Here’s the screenshot of my code editor:

Step 7: Start your app locally

Use the following command to start your newly created website with the installed Dialogflow bot.

npm start

Voila! How simple was that? In these few simple steps, you could integrate Dialogflow bot in React JS websites. This is how the chat widget looks on a website:

Wrapping Up

It is fairly simple to have a rich text enable chat widget with Dialogflow bot in your React JS websites. You can further customize the chat widget to match your website colors and theme.

Don’t forget to give us your 👏 !

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Integrate Dialogflow Bot in React JS Websites was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

From the last two decades, Google has been one of the best digital advertising platforms. Advertisers and digital marketers use this platform to reach a wider audience either by ranking on rich keywords or by using display advertising campaigns.

According to the reports, Google has earned $52 billion in the last 15 years, which is 30% of the total revenue of global ad investment. Google ad gets an average 8% clicks click-through rate, and yields more than 180 million impressions every month.

There are many formats that Google offers for advertisements like YouTube videos, PPC, Maps, Business Listing, etc. With its wide range of resources, Google has been ruling the world of search engine based advertising. But are you able to get a good ROI from your promotional campaigns on Google?

Conversational Advertisement

Many businesses are using Google Ad Campaigns for the last many years. But even after getting excellent traction on the ads, they are failing to generate high ROI. The reason behind it lies in the way a user interacts with the promotional campaign

In this conversational age, more than 57% of the advertisers are still using the same traditional form-based webpages to interact with the prospects. But, its highly questionable that with such tools, how can advertisers expect an increase in their ROI?

Trending Bot Articles:

1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

4. Your Path to AI — An IBM Developer Series

There have been many product level changes introduced to make forms interesting for users. But conversational forms or chatbots seem to be most successful amongst all.

New research suggests that more than 32% of the enterprises are now relying on this new model of an advertisement on Google.

What is a conversational advertisement?

Conversational Ads is a chat-based method to connect with website visitors. It’s primarily an inbound marketing technique to start a personalized conversation with each visitor and answer their queries and assist them as per their requirements. This, in turn, makes entire interaction with the user super engaging and rewarding.

The conversational tactic of the chatbot is designed to keep users engaged which eventually results in getting more leads for the business.

In the conversational ad campaign, when a user clicks on it, the user will be redirected to a website or dedicated conversational landing page. At there, a chatbot initially welcomes users in a very valued and positive way and may proceed with asking the user’s name, followed by lead generation flow.

Conversational Ad serving for Appointment Booking on CarDekho Gaadi Store

Create Better Interaction With Conversational Advertisement For Google Ads

Kia and Samsung have achieved 3 to 5 times more engagements through conversational advertisement campaigns.

Suppose you are going to a hotel, and no one is standing at the gate to welcome you. And then, when you go ahead, sadly you find no manager to assist you with “How to book a room” or to “Answer any other query”. Even though if you find instructions written there, it’s highly unlikely that you will avail any services from there.

Contrary to the above situation, now let’s suppose that you visit another hotel and a person welcomes you. Then a manager wishes you and asks you gently, “How may I help you?”, and continues the conversation to assist you further.

Which hotel will you choose to stay?

The first situation can be related to web page-based forms interaction. You saw only instructions written about “How to book a room” and no one there welcomed you and asked to assist you. While the second condition can be compared to conversational chatbot interaction, as it facilitates and greets the website visitor.

These different situations also explain “How effectively conversational ads with Google ads can increase leads generation and user engagement on your website”.

How Conversational Google Ads work?

The primary task of a successful ad campaign is to get higher engagement. Google ads campaign can provide higher visibility, but getting engagement to lead conversion is the real challenge. The need for conversational ads comes to the picture at that time.

Additional Benefits of Conversational Ad Campaign for Google

• Personalized Promotional Updates: It can show promotional messages of web forms which sometimes look irritating, as more interesting and convincing conversational messages.
• Time-Saving & Cost Reducing: It can eliminate needs for the human workforce in many aspects like regularly updating web-forms for the latest offers. And it can also reduce costs for customer support assistance.
• 24*7 Customer Assistance: Longer period availability for the users can be an effective way to increase the scalability of any business.
• Strengthening Relationship With Users: It can also be a great source to collect users’ responses, opinions, demands, etc.

Increased Leads-to-Engagement Conversion → Sales → Higher ROI ↑

Implementation of Conversational Ad Campaign

The implementation of chatbot requires a lot of attention, experience, and knowledge. However, while training the bot with the same, you should be well equipped with product knowledge and audience behaviour. It will help you to compose dynamic conversational flow for a wider audience. You can contact us at Makerobos.com for a consultation on how to build a chatbot to help you boost engagement for your business.

Chat with Frontman to book an appointment today, Click here

Don’t forget to give us your 👏 !

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Get Started With Conversational Ads For Google was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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The Future of Chatbots – Key Chatbots Statistics and Trends in 2021

In a previous article, Adaptive Learning is the Future of Online Learning, we talked about how most education and learning in 2020 was largely done from home through virtual platforms due to COVID-19.

As we step into the new year with the pandemic still at large, it is expected that there will be another surge in the use of artificial intelligence (AI) and chatbots due to their time- and cost-efficiency. If you’re also planning to use more AI and chatbots, here are the key chatbot statistics and trends for 2021 that you should know.

With 44% of consumers preferring to interact with a chatbot over a human, one thing’s for sure: chatbots are here to stay. But how do you build a chatbot for your business — one that actually helps you solve problems instead of creating more?

In part 3 of my Conversation Design series, I’ll talk you through the process of building a chatbot from scratch, including strategy, scripting, and testing.

Let’s go!

1 — Define the goal

Before you can start building your chatbot, you need to know why you are building it. What is the goal here? If you want to automate an existing service, what is the current experience like, and how could a bot help improve it? Take a look at your business goals: if one of your goals is to increase customer satisfaction, you might want to add a chatbot to your customer support team and let it handle the most common FAQs, so your team can focus on the more complicated cases.

2 — Define the use cases

After figuring out the why of your bot, it’s time for the what. What is your bot going to do exactly? What will it do for the user? I cannot stress how important it is to figure this out before you start building your bot, as you need to know exactly what the bot will do and why that is important.

Here are some use case examples:

• Book a restaurant
• Play a song
• Find products
• Recommend new products
• Get directions
• Book a flight
• Show local promotions
• Process returns

3 — Understand your tech

Know that you know the why and the what of your bot, it’s important to understand the where: where will your bot live? Will it be integrated with WhatsApp? Can customers engage with it via SMS, Facebook Messenger or on the company website? What are the restrictions of each channel? A bot that talks to your users via SMS won’t be able to use as many characters as a bot that only communicates via web. So make sure you understand your tech and its limitations.

Trending Bot Articles:

1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

4. Your Path to AI — An IBM Developer Series

4 — Know your user

In order to design an experience that feels personal, you need to make it personal. Who is this user that will engage with your bot? It’s important to know what they want and how they are feeling during the conversation. What’s their backstory? Their challenges? Their motivations? How familiar are they with your business and using bots in general? I like to create a user ID that I keep close when writing the actual dialogues.

5 — Craft your bot personality

A chatbot without personality is like a bad Tinder date: they looked great online, but as soon as you start talking to them, you want to end the date as soon as possible. There just wasn’t a connection…

So how can you make sure your users connect with your chatbot and that the conversation is engaging and representative of real human interaction? By giving your chatbot a clear personality.

If you can, use your company branding as a starting point and build on it. I’ve also explained in detail how to design your chatbot’s personality in part two of my Conversation Design series.

6 — Script your happy flow

Now that you have a clear picture of who’s communicating (your bot persona and your user ID) and what they’re talking about (your use cases), it’s time to write the dialogues.

A ‘happy flow’ is a dialogue where everything everything runs the way it’s supposed to run. The conversation is natural and smooth, and the user reaches their goal in as little steps as possible. Many conversation designers start with the happy flow because it’s the flow of least resistance. It takes the least amount of effort to script because it doesn’t include many of the inconvenient complexities that can occur.

But they will, and you need to be ready for when they do. More on those edge cases later.

A great way to script natural dialogues is by having a sample dialog. Have two people sit back-to-back and improvise a conversation around a use case, with one person playing the user and the other playing the chatbot. Record their conversation or take notes to see which parts of the dialog need a bit more work.

7 — Script for edge cases

Chatbot technology is not yet capable of understanding every user utterance well enough in order to reply in a correct way — no matter how well the script is written, in tricky situations, it will most likely fail.

So after writing the happy flows, write out the most likely ways a user might go off track and how you’re going to deal with that. The sample dialog should help those pain points, as will user testing.

What if a user asks your bot how it’s doing? What if they tell the bot they don’t like it? What if they want another suggestion? What happens if the user wants to book a table for two, but one person is allergic to gluten and the other one doesn’t eat fish?

If you can, make sure your chatbot’s response strategically guides the user back to an existing flow, like in the example below:

8 — Create the flowchart

Once you’ve written all possible flows, create a visual flowchart to see how a user would go from start to finish and where they might want to — or have to — dive into other flows. There are a ton of great tools out there to help you visualise these journeys, my two favourites are draw.io and Creately.

Quick tip: The chatlayer.ai platform allows you to visualise your flows straight away whilst scripting your dialogues.👏

9 — Testing your bot

When you’ve completed your dialogues and created your flowchart, it’s time to take a deep breath. You’re now gonna send your little baby bot to its first test! 🐣

To get some first feedback, you can share your bot with a few friends and colleagues and ask them to complete some specific tasks. For example: “Play a song” or “Order some food” or “Return a pair of jeans”. Make sure to also ask them some detailed questions about the overal experience after:

• Personality: does the bot feel consistent? Does it fit the brand?
• Onboarding: was it clear what this bot can do for you? Did you miss anything?
• Understanding: did the bot understand your questions and answers? Where did you get stuck?
• Answering: did the bot give accurate, relevant and clear answers? Did it feel conversational?
• Error management: how did the bot handle errors? What went wrong? How did it make you feel?
• Overal experience: did you enjoy the conversation?

Some platforms also allow you to do some usability testing, such as chatlayer.ai. There you can see which intents and expressions were recognised (in)correctly, how long each user session was, and when the API plugins and code blocks returned an error.

10 — Optimising

Internal testing will already give you a lot of insight on how to improve your bot, but its your real users that you want to hear from. So after publishing your bot, make sure to keep monitoring its performance. Monitor the conversations, collect data, create logs, analyse the data, and keep improving the bot for an even better experience.

Phew, you made it till the end! Now it’s time for you to build your own chatbot. 🤖 If you need help getting started on chatlayer.ai, I recommend you watch our platform tutorial series on Youtube:

Hi, I’m Tess, language enthusiast and taco lover. I work as a Conversation Designer at Chatlayer.ai — an intuitive platform where you can build clever AI bots in any language, no coding skills required.

Interested in knowing more about chatbots? Want to share stories or talk conversation design? Let’s chat on Twitter or send me an email.

Don’t forget to give us your 👏 !

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How to build a chatbot in just 10 steps. was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

There was a time when you need to connect offline with businesses for a B2B partnership. However, now you just need to search for them on LinkedIn and click on the connect button.

Every marketer and business knows how much LinkedIn is important for their growth. Alike other social media platforms, LinkedIn is not a general content-sharing social media platform. It is more of a professional platform and was built to bring professionals together for business, career, and company profile building.

The revolutionization of technology and marketing practices has taught marketers how they can get even more from LinkedIn. It is now being used to generate leads too for businesses. Businesses search for prospects on LinkedIn, send them a connection request, and texts them to offer and discuss partnership or work opportunities. As a result of this, LinkedIn marketing practice has been really beneficial for businesses. Marketers claim that they generate 54% of B2B leads from social media, and out of which 80% of them were from LinkedIn.

The question now arises that how you use automation to make this marketing practice easier, more beneficial, and cheaper.

Trending Bot Articles:

1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

4. Your Path to AI — An IBM Developer Series

Automating LinkedIn Marketing

The concept of automation is all about reducing or eliminating human interference from monotonous tasks and allow them to do more important and productive tasks.

Automating LinkedIn marketing can help businesses in making the process more resultant, error-free, and cost-effective as automation minimizes the need to invest many resources. Businesses can use LinkedIn automation tools for the same.

With a LinkedIn automation tool, businesses can do Linkedin prospecting easily. They can use it to search for prospects in LinkedIn and send outreach messages whatever they want. Such automation tools can help in collecting & keeping prospect data saved and managed.

Overall Business Costing Benefits

Check out this example to understand how Linkedin automation affects your Linkedin marketing cost.

For instance (Without Automation)

You are investing two members of your team, the first one to search for prospects and send them outreach messages, and the second one to respond to replies and attend sales meetings. You may have been attending 10–20 sales meetings and also, be doing a lot of hard work on it.

For instance (With Automation)

All that you will now need is to get a Linkedin automation tool and train it to do the work however you want. The major workload for you will be to attend sales meetings (that too, definitely more than you were attending without automation) and monitor stats.

The overall purposes of these examples were to explain how LinkedIn automation can reduce the work stress of your employees and get things done more efficiently. Ultimately, help you generate better ROI.

Linkedin Conversational Ads

Linkedin ads have always been businesses’ first choice for B2B paid ad campaigns. However, to make the conversions from LinkedIn ad campaigns reach their best potential, you can switch to LinkedIn conversational ads.

The Linkedin conversation ads are built on the message ad format, which is delivered through LinkedIn Messenger. They are designed for real-time engagement, as they only send messages when a prospect is active on LinkedIn, which means the possibilities of engagement gets quite increased.

Conversational ads help businesses to make the lead conversion process easier and efficient. With this advertisement practice, businesses would not need to invest much of their other resources like managers’ involvement in responding to the advertisement replies. In simpler words, you can say that conversational ads work like a well-trained chatbot.

Moreover, Linkedin itself offers conversational advertising options. You just need to set your target audience, goals, and design an appropriate conversational flow with good CTA buttons.

(Pro tip: Better your conversational flow, higher the conversion rate)

Get More With Social Media Marketing (SMM) Chatbots

The other way to use conversational ads in your Linkedin marketing is by adding CTA redirection to your conversational landing page in sponsored posts.

When a user clicks on the CTA button of your sponsored post, he/she will land on a conversational landing page, where a chatbot will welcome the user and begin with the conversational flow.

Chatbots can be trained to communicate with leads differently based on the source, location, and many more such factors of the leads redirecting to them. This ensures to give the best engagement experience to the leads, and thus the maximum possibility of conversion.

“With Conversation Ads, we managed to increase our audience engagement, while cutting our CPC in half. They allow us to offer our audience a variety of information in one attractive ad format — and without forcing them to leave the LinkedIn platform.”
– Anne Gebhardt
Digital Marketing Manager, Episerver

Final Thoughts

The time is changing and if businesses don’t upgrade themselves to better technologies for marketing then they may suffer a great loss in the upcoming time. Using Automation & Conversational marketing are two of those things. If you don’t believe it, ask those who are already using them!

Don’t forget to give us your 👏 !

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Everything You Need To Know About Linkedin Marketing Automation & SMM Chatbot was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.