Tag: digital marketing

5 Ways Natural Language Processing (NLP) Is Changing Digital Marketing
Natural Language Processing

5 Ways Natural Language Processing (NLP) Is Changing Digital Marketing

Posted on | by Danni White

Humans have an inherent ability to communicate, but computers do not. For them, comprehending the context of our words is a great problem. It is the goal of NLP to change this.

Natural Language Processing (NLP) is a part of artificial intelligence (AI) that utilizes software engineering and computational semantics to empower PCs to comprehend, decipher and change them frequently irregular universe of human language. Accordingly, its definitive object is to help PCs in figuring out what individuals say that benefits them.

5 Ways to Improve Your Digital Marketing with Natural Language Processing

1. Consider the Advertising Funnel

What are the requirements of your target market? Where is your customer seeking solutions to his or her problems? Natural Language Processing (NLP) is a powerful tool for intelligently targeting and placing adverts in the right place, at the right time, and for the appropriate people. Any company’s ultimate objective is to reach out to the proper customers for their product. NLP helps to target the correct consumers by matching the right keywords in the text. Keyword matching is a basic NLP operation that pays off handsomely for organizations.

2. Seek to Understand Customers through Sentiment Analysis

Because natural language processing (NLP) has advanced significantly in recent years, AI can now extract the intent and sentiment underlying the text. This may be used to determine the emotion of individual customer discussions and drive the conversation toward a conversion. It may also be used to examine the emotion of big groups and to steer group dialogues.

Sentiment analysis may be used for a variety of purposes, including brand monitoring, competition research, and product analysis.

3. Customer Service

The highest task and obligation of every corporate organization is to ensure client loyalty by keeping them pleased and happy. NLP has benefited in a variety of customer service roles and has shown to be a valuable technique for gaining insight into audience likes, preferences, and perceptions. Speech separation, in which the AI matches each voice to the appropriate speaker and responds to each caller independently.

NLP might help the engineer translate the caller’s speech into a text message that can be easily analyzed. To summarize, this would be a fantastic method to get a sense of your audience’s pulse.

4. Market Research

Market knowledge and information flow between diverse organizations, stakeholders, governments, and regulatory authorities affect and affect business marketplaces. It’s critical to keep up with industry trends and standards as they change. NLP is a beneficial tool for firms to watch and analyze market intelligence reports and extract the information they need to develop new strategies. NLP, which is widely utilized in financial marketing, provides in-depth insights on employment changes and market state, tender delays, and closings, as well as pulling data from enormous repositories.

5. Chatbots

These days, we hear a lot about chatbots; they’re the answer to customers’ frustrations with customer service call help. They offer sophisticated virtual support to customers with basic problems and unload low-priority, high-turnover chores that require little competence. In the near future, intelligent chatbots will provide personalized support to customers.

Many industry observers believe that chatbots will become an emerging trend that will provide real-time answers to common customer support issues.  They are beneficial in that they provide standard answers to frequent issues. Chatbots can assist save time, human effort, money, and give efficient solutions while also being improving with time.

Final Thoughts

In general, natural language processing can help companies to better understand and meet their consumers’ demands. Improvements like these can help you attract new consumers, retain old ones, increase brand loyalty, and raise revenue. Schedule a demo today and see how Byonic.AI can assist you in improving your marketing campaigns.

Byonic.ai Redefines the Future of Digital Marketing

Byonic.ai Redefines the Future of Digital Marketing

Posted on | by Danni White

Frisco, Texas-based company, Bython Media, launches a revolutionary AI/MI-powered marketing platform, the first of its kind on the planet.  

Monday, August 23, 2021 — Frisco, Texas — The next generation of AI- and ML-powered marketing is coming soon. Byonic.ai is the first-of-its-kind end-to-end platform for personalized lead insights, creative content, account intelligence, intent-based data, account-based marketing, and marketing automation. It allows data-driven teams to align their marketing, product, and customer success goals with revenue growth and sales.  

Byonic.ai uses an extensive database that identifies the purchasing intent and habits of in-market prospects at various points in the sales and marketing cycles. AI capabilities target the right people at the right time, providing users with unparalleled real-time engagement opportunities that help turn prospects into well-qualified customers.  

The platform uses predictive and actionable insights to discover the highest-quality leads for more successful marketing and sales outcomes. Users can measure campaign success with extensive reports and analysis. The end-to-end repeatable process embedded within Byonic.ai allows users to: discover, build, target, deliver, analyze, engage, and convert.  

Account intelligence finally meets artificial intelligence. 

How Byonic.ai Works 

Byonic.ai will revolutionize digital marketing for: 

  • Marketers 
  • MarTech/Operations specialists 
  • Demand gen professionals 
  • Sales professionals 
  • Agency/media partners
  • Client success professionals 

B2B marketing and sales professionals can use the platform in several ways: 

  • To discover which marketing strategies resonate best with audiences 
  • To use first-party intent signals to unlock insights from prospective buyers 
  • To learn what campaigns are the most effective and generate the greatest ROI
  • To use AI to predict your marketing funnel and the highest quality lead potential
  • To segment data based on budget, interest, time, and authority  

“Most platforms weren’t built as a one-stop-shop for all your marketing campaign needs,” says Snehhil Gupta, Chief Technology Officer, at Bython Media, creators of Byonic.ai. “Now, you get a full suite of end-to-end capabilities that include account intelligence, lead insights, marketing automation, and creative content, powered by AI/ML and wrapped in one simple and intuitive platform to run smarter campaigns.” 

Byonic.AI will launch in Fall 2021. Marketing and demand generation professionals can sign up for an early demo on the company’s website, www.Byonic.AI.  

Discover Byonic.ai 

WEBSITE | LINKEDIN | 8668 John Hickman Pkwy, Suite 1004, Frisco, Texas 75034 

The Changing Landscape of Digital Marketing: How Artificial Intelligence Is Shaping Marketing
Article explains how artificial intelligence is changing the marketing

The Changing Landscape of Digital Marketing: How Artificial Intelligence Is Shaping Marketing

Posted on | by Danni White

Artificial intelligence has been around for a while – disrupting every industry, killing many jobs, and creating many more jobs and industries. The impact of AI can be well seen in the field of marketing as well since more and more developed marketing software and martech tools have come into the picture.

Initially, AI was used in e-commerce to create customized experiences for buyers. Now, the situation has changed a lot. According to Salesforce Research’s State of Marketing Study, marketers’ use of AI jumped from just 29% in 2018 to a whopping 84% in 2020. How is it that AI has impacted the future of marketing? To understand this, it is important to know about AI and the areas it impacts marketing.

What is AI Programming?

AI programming is a rather broad term that encompasses all of the various coding languages used to create, train and implement artificial intelligence. While there are quite a few different programming languages that can be used, C ++, Java, Lisp, Prolog, Python, and R are the most commonly used languages.

What are the Core Elements of AI Marketing?

When it comes to implementing AI in marketing, there are a few different elements that are particularly useful. These are:

  • Big Data

    Big data is essentially making use of data mining tools to sort through volumes of data and extract actionable insights from the data. Marketers make use of big data to sort through and manage their databases and create customer profiles that further aid their lead generation efforts.

  • Machine Learning

    Machine learning is a way to feed data into a program and have the code make assumptions based on the data patterns. Marketers make use of machine learning in order to better target their ads to optimize their budgets.

What are the Future Benefits of AI in Marketing?

Making use of AI in marketing has been proven to show amazing results. According to Salesforce Research’s study, 70% of high-performance marketing teams claim they have a fully defined AI strategy versus 35% of their under-performing peer marketing team counterparts. Artificial intelligence has taken the field of marketing by storm and has really helped companies grow.

Here are some of the key areas where artificial intelligence can boost marketing efforts:

  • Improved product and content recommendations

    AI, big data, and machine learning can all come in very handy to help profile the customer base. Once the customer profiling is done, your content and product recommendations to them will also be very precise. This will ensure their loyalty and satisfaction.

  • Better social engagement and customer service

    AI can analyze all the user data and show you what works for each user. Not only that, but it can also keep you ahead of the trends and make sure you are producing the right content and answering all your customer queries.

  • Improved search engine rankings

    Since AI can keep a track of your chosen keywords and content recommendations for your audiences, marketers can focus on creating content around high-ranking keywords. AI can also help marketers assess the SEO strength of their content and improvement areas.

  • Smarter ads:

    As online advertisements keep rising in popularity, AI can help personalize the ads that each user sees. This could increase the CTR and ad revenue drastically. Optimizing web-ad performance is vital to the cost-optimization in marketing strategy and beneficial for all stakeholders, building better brands, and more enjoyable experiences for web-users. While AI has many advantages, these are the most prominent ones that can lead to an increase in revenue for the company and betters figures on the KRAs. However, there is a flop side to every coin. AI may seem to be a revolutionary component of your marketing strategy, but it has a few disadvantages. These are: 
    

      

    • AI is expensive – All good things come at a price, as does AI. Incorporating AI software into your CRM and CMS systems as well as training your marketing department to use and implement this software on a daily basis all cost a lot.
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    • AI could lead to unemployment – Since AI can take care of a lot of tasks at once, it could render certain team members’ jobs unnecessary. Therefore, it is in the company’s best interest to first evaluate the budgets and needs and then choose the right software.
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    • AI might limit creativity – Since AI has ready answers for a lot of questions, it may curb the creative potential of a team and keep the strategy rather monotonous and mundane. Therefore, marketing heads must ensure that the teams are creatively driven and ahead of the curve.
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However, as is pretty evident, the pros of incorporating AI into your marketing stack well outweigh the cons.





Future of AI Software Programmers





IDC reports that 75% of commercial enterprise apps will use AI by 2021. Gartner, on the other hand, reports that by 2021, 80% of emerging technologies will have AI foundations.  The report also states that the number of enterprises using AI in business grew by 270% between 2015 and 2019.  

As more and more companies start witnessing the tremendous potential that AI holds for them, the future of AI software programmers looks bright. However, there could be one notable disadvantage of AI is that it is too advance and may soon be able to write its own code. Therefore, AI software programmers must monetize this opportunity as soon as possible.





Conclusion





Forbes says that 83% of businesses say AI is a strategic priority for their businesses. Therefore, there is a very solid case for how artificial intelligence can pave the way for the future of marketing.





Want to start implementing some of these best practices for artificial intelligence into your enterprise? Contact Byonic.AI today for a demo and get assistance in prioritizing AI-based solutions for greater results. Schedule a call today.

						

				

					

		

					

		

				

			


	





	
	

		Benefits & Uses of AI in Digital Marketing	


	

		Article explains use and benefits of AI in digital marketing	

	

		
Benefits & Uses of AI in Digital Marketing
		

			Posted on  |  by Danni White		

			

	

		

Artificial intelligence (AI) is a field of study that focuses on developing intelligent machines that can think and respond like humans. It has a lot of potential for digital marketing in the future. Organizations are increasingly turning to AI for cutting-edge applications that provide multiple overarching benefits.





As a business owner or marketer, it is time to identify your business’s problems and how accurate insights can solve these issues.





In this article, we have gathered AI data in digital marketing into one place that will help you get precise insight.





1. Machine Learning and Continued Learning





Machine learning techniques assist digital marketers in discovering valuable information from massive amounts of big data.





Machine Learning tools in digital marketing help identify market trends, forecast demand, and provide personalized services to customers. As a result, AI marketing’s Machine Learning tools and algorithms enable marketers to perform revenue-generating operations.





2. Smart Advertising on Social Media





Many social media platforms have built-in advertising systems that brands can use to enhance their marketing operations results. You no longer have to struggle to develop compelling captions and images for your ads when AI tools can do this work for you.





AI can also analyze your ads’ performance and make recommendations to fuel your campaigns’ effectiveness and drive better results. Due to AI, companies will no longer have to waste their marketing budget on ads that don’t work. You can target prospects and customers with the right message at the right time and get them to convert quickly.





3. Bot and AI Chats on Your Website





Businesses are interested in AI and adopting digital transformation to modernize customer communication and improve internal processes. Artificial Intelligence (AI) is playing a significant role in 2021 as it is being adopted by many businesses and enterprises. 





There are many benefits of using AI chatbots on your websites as they are always available. According to the research, over 50% of customers expect a business to be available 24/7. They are designed to reply instantly and consistently. Chatbots are not limited to shopping; they can also be used for repetitive tasks such as arranging meetings and researching a topic.





4. It Reduces Marketing Costs with the Best ROI





Artificial intelligence can fully or partially automate time-consuming and labor-intensive tasks that are causing your team to become overwhelmed. As a result, your marketing operations will require less workforce, and you’ll be able to utilize your ad budget properly. 





Thanks to the data-driven predictions and decisions you make, your campaigns are bound to generate impressive results that contribute to revenue growth.





5. Increased Personalization for Customers





Artificial intelligence (AI) developed marketing strategies, and approaches have evolved drastically over a few years.





In this fast-moving world, marketers need to work fast to keep up – but on the plus side, they have a lot of opportunities opened up for them to be creative. Personalization used to be an excellent option for marketing, but today, it must create a positive customer experience. 





Businesses can make a positive, personalized journey for their customers by micro-segmenting them, providing them with highly relevant content, leveraging omnichannel data, and leveraging AI. 





Personalization improves the customer experience, resulting in higher customer satisfaction, increased revenue, and long-term loyalty.





6: Refined Content Delivery on Social Media





Using artificial intelligence to track your Audience’s social media interests and preferences will give you a clear understanding of how to appeal to them by creating content they’ll want to engage with and share. 





Artificial intelligence allows businesses to gain a better understanding of their target audience and their preferences. They’ll be better equipped to create content that entices their interest and compels them to take the desired action.





7: AI Can Decide Content to Create and Where to Show It





You can use AI to help you decide what content to create and when, how, and where to publish and distribute it. The whole process can be done with a single click.





By outsourcing these repetitive tasks to marketing software, you can increase your productivity and focus your efforts on strategic marketing planning, face-to-face customer interactions, and other areas where humans excel over computers. 





AI marketing automation platforms allow you to segment your customer base and target different groups with the most appropriate marketing strategy. 





You can improve customer experience and strengthen customer relationships by segmenting customers based on their location, the pages they visit, or their buying preferences.





8: Automated Marketing Process





Much like automation, artificial intelligence applications make it possible for machines to complete fundamental human tasks. Visual perception, speech recognition, decision-making, and adaptability are common skills that AI is currently imitating. 





Marketers can create many campaigns and journeys without worrying about which one to send to each customer next because of AI. Marketing automation can be improved by using AI models to quickly identify all available campaigns for each customer and determine the following best action for them.





9: Processing Big Data





Big data is a broad concept that encompasses data collection from a variety of sources. It is a valuable tool for running digital marketing campaigns. Big data enables digital marketers to segment large data sets and send personalized content to customers conveniently via a chosen communication channel.





10. Understanding and Predicting Customer Behavior





When AI and consumer behavior are closely related and used together, they provide valuable insights. To survive in the marketing world, AI is being used to analyze customer online buying behavior. 





Customers are compelled to check out the brand’s offers due to new AI features behavioral marketing such as customized marketing messages.





The use of AI appears to be speeding up the growth of behavioral marketing. Chatbots, personalized feeds, and machine learning tools that track behavior have turned marketing on its head, with traditional methods no longer bringing the needed results. Artificial intelligence is something on which marketers can rely, and it benefits both brands and customers.





11: Better Business Intelligence





Users can derive meaningful insights from raw data with the help of business intelligence. To help organizations make more data-driven decisions, business intelligence (BI) incorporates business analytics, data mining, data visualization, data tools and infrastructure, and best practices.





The value of traditional business intelligence is undeniable. This practice’s ability to be nimble and scale as new norms are adopted is restricted in an environment where increasing competition, speed, and the need for accuracy are required.





More importantly, our blind spots may be hindered by allowing what has worked to continue to be the go-to solution. Because of this, we tend to miss critical insights that would have been apparent under an AI framework.





12: Better User Experiences





People prefer to do business with companies that offer excellent customer service. Customer satisfaction and retention, on the other hand, begin with getting to know your customers.





You will be able to understand your audience’s preferences and get closer to them by incorporating artificial intelligence into social media.





This gives companies an edge to create content, target ads, and make product or service changes to enhance their users’ experiences.





You can identify problem areas and fix them right away and respond to issues and complaints promptly to provide the best user experience.





Conclusion





Artificial intelligence (AI) is becoming more pervasive, a basic understanding of the technology is essential for long-term business success. Whatever role you hold in your business, understanding AI may help you solve problems in new and innovative ways, saving time and money. It may also assist you in developing and designing future products and services with a low or no budget.





Want to start implementing some of these best practices for artificial intelligence into your enterprise? Contact Byonic.AI today for a demo and get assistance in prioritizing AI-based solutions for greater results. Schedule a call today.