30 second summary:
- Conversation Marketing Platforms Use messaging apps to help companies build direct relationships with their customers
- E-commerce chatbots are used to identify (and react to) customer intentions
- They recommend products or promotions in real time using customer feedback in messenger apps on websites, social media platforms and ads
- With the latest robust conversational marketing platforms, companies can create and implement chatbots on multiple channels without the need for programming or engineering skills.
Content created in collaboration with Spectrm.
Conversational marketing technology leverages developments in machine learning algorithms and artificial intelligence (AI) to facilitate machine sales to consumers using chatbots.
These marketing automation solutions enable companies to engage their target audiences in real time and on a large scale in person in both scripted and non-scripted conversations.
Chatbots are computer programs that simulate human conversations using voice or text commands – or both.
To understand how far we are from the earliest version of chatbot technology, it is helpful to know where it all began.
The first chatbot, Eliza, was developed at MIT In the 1960s by Joseph Weizenbaum. It works using a decision tree model and recognizes keywords and phrases and then reacts based on a preprogrammed script.
The next innovation in chatbots came in 1995 with the development of the Artificial Linguistic Internet Computer Entity (ALICE) by Dr. Richard Wallace was designed to simulate chatting on the internet.
Like Eliza, Alice uses preconfigured templates to respond to human input, but she also has some limited learning capabilities. Alice also takes a decision tree approach, although her learning skills bring her closer to the modern version of chatbots.
By 2006, IBM gave us Watson, a chatbot that uses natural language processing (NLP) and machine learning.
Siri, a virtual assistant built into Apple’s iOS, was launched in 2010. Siri put chatbots and voice technology heavily on the map.
After Siri, Google launched Google Now in 2012. In 2015 came Amazon Alexa and Microsoft Cortana. These are widely used intelligent virtual assistants that recognize natural language commands through speech and text.
The popularity of messaging chatbots coincided with the launch of Facebook Messenger in 2016. The Facebook API allowed developers to create bots that would interact with Facebook users.
The advent of conversational marketing platforms is the next iteration of chatbot technology.
Platforms like SpectrmThe Berlin-based conversation technology company offers chatbots a new functionality to improve and improve the customer experience.
Marketing chatbots enable companies to optimize their interactions with customers, customers, and prospects by using automated, personalized, real-time conversations across a variety of messaging channels to take action.
The potential is limitless. According to Spectrm, Facebook Messenger can engage more than two billion people on Facebook and Instagram. three quarters of consumers Prefer to delve into private messaging brands versus traditional channels. 90 percent of Internet users can be reached with Spectrm and Google AdLingo via conversation-oriented display ads.
A marketing chatbot can Increase marketing performance and return on investment (ROI), enable personalized branding experiences on a large scale and collect insights from customers recommending products to ensure that companies can reach their customers through multiple channels.
Intelligent chatbot technology like Spectrm’s was developed to personalize the customer journey through real-time conversations. Marketers combine scripted conversational flows and AI-powered chat to reach customers from websites and apps, paid social ads, and their favorite messenger apps.
Personalized customer experiences on a large scale
Conversational marketing platforms use powerful AI technology, analytics, and a range of features to create extraordinary and personalized customer experiences. They make intelligent chatbot technology accessible to businesses regardless of their internal technical capabilities.
Platforms like Spectrm differ from simple, rule-based chatbots in a few ways:
- They use analytics to make data points actionable
- They use chatbot data to optimize the sales funnel and segment customers
- You use conversational AI to identify (and act on) customer intentions
- Thanks to their feed integration capabilities, they can recommend products or content based on user input in real time
The goal of any conversation marketing platform is to simplify the process of building customer relationships through the use of chatbots throughout the customer journey.
“We work on several messaging channels that consumers spend all of their time on: Facebook Messenger, Instagram Messaging, Google Business Messages and Conversational Display Ads (AdLingo and Google DV360).” according to Spectrm.
“This enables the company to instantly connect to target groups on Facebook, Instagram and other platforms via chat.”
Before the pandemic, messaging was the preferred way for customers to connect with businesses while shopping online. 40 percent of respondents in a global Facebook from 2019 study said they started their online shopping journey with chat.
64 percent of people, regardless of age, said they prefer messaging over phone call or email, and 65 percent said they would be more likely to shop with a company they can chat with. These long-term shifts towards Online shopping and messaging have accelerated since the pandemic.
One of the things that differentiate conversational marketing platforms from rule-based chatbots is how they are used personalized chat Generate e-commerce sales and enable conversations at any point in the customer lifecycle.
By using data that consumers willingly share in chat, marketers can reduce their reliance on third-party data and tracking technology while still delivering a personalized digital experience to their prospects.
Conversational Commerce technology was developed to engage customers in one-on-one conversations through a variety of channels.
Platforms like Spectrm are 100 percent code-free, so any business can easily implement conversational AI as part of their marketing strategy.