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Presenters

Srinivas B Vijayaraghavan - VP Marketing
Srinivas B Vijayaraghavan
VP Marketing
LinkedIn
Niyati Agarwal - Director Product and Strategy
Niyati Agarwal
Director Product and Strategy
LinkedIn

Notes

In this episode of #ConversationalMessaging Podcast, Product Head of Conversational AI at Gupshup Niyati Agarwal, joins VP Marketing Srinivas to discuss how smart social media chatbot can bring your brand closer to consumers. Tune in to learn how this strategy builds customer loyalty, increases sales, and even becomes a marketing tool for your brand!
Engaging to Consumers Online
Social media is so widely used these days that it has become an outlet for thousands of annoyed (sometimes satisfied) customers. When consumers are unhappy with a product, they tend to voice out their concerns online, the same way they leave positive reviews online when they feel otherwise. Hence, now is the perfect time for brands to incorporate social media chatbot and automation in their online engagement with consumers.
Getting Your Customers' Loyalty
Social media chatbot and automation allow consumers to be heard instantly—not thirty minutes or an hour after their feedback, but instantly. This should significantly impact how consumers feel; a very mad customer can at least be turned into a neutral one. The goal is instead of having actual people monitor this pile of public consumer feedback, which is almost impossible, customers can privately reach out to smart social media bots and be presented with a deal, offer, or resolution that would leave them satisfied and with a renewed loyalty for the brand.
You're not able to just handle the negative situations, you're able to handle the positive sentiments of such people. And you're creating a strategy that includes the overall engagement of your users.
Niyati Agarwal, Director Product and Strategy
Smart Social Media Bots
Brands need to keep in mind that the success of social media chatbot depends on how deep the context bots can perceive. If the chatbot is programmed right and is smart enough to determine what a consumer needs, a consumer who is simply engaging online to leave feedback can be led to making another purchase. Social media chatbot can definitely establish a deeper connection between brands and consumers that is beneficial for both sides in the long run.
Related posts:

Get started with Messenger API for Instagram

Chatbots for WhatsApp – A Beginners Guide

Engage your users with Facebook's Customer Matching API

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Added below language support for WhatsApp,

Bot developers for Line: With the release of Line Messaging API, all BOT API Trial Accounts are scheduled to be deleted. Please republish your bot according to new Line implementation, mentioned under Publish tab in My Bots section.

New tool for non-developers- Our Flow Bot Builder helps users create their bot messaging flow with a graphical editor.

API.ai tool is now available for developing your NLP/AI bot.

Gupshup Enterprise APIs (SMS,Voice and Email) are now available directly in the APIs section.

New channels added for publishing bots- Smooch.io and your website as a web widget.

Now you can access our services including the bot builder tool using your Facebook login credentials.

Now you can delete the dummy bots created for testing from the My Bots Dashboard.

You can now access Bot specific data from your Dashboard itself.

Introducing a hassle free bot development experience for users to instantly create bots using our pre-defined restaurant templates. Check out our blog to know more.

We are removing few redundant parameters, that were being sent when a callback happens to your bot (i.e. inbound message comes to your bot).

Following is the list of parameters.

  1. sender
  2. message
  3. context

However, we will continue to send following parameters. If you are using any of the deprecated parameters, we request you to use these alternatives.

  1. senderobj
  2. messageobj
  3. contextobj

You are requested to make a note of this and do the necessary changes immediately to your bot code to keep it working. Should you need any help, please feel free to send an email to devsupport@gupshup.io