AI: A Powerful Tool to Improve Customer Engagement on Social Media

Today, social media is indispensable for any business to flourish and expand! Whether you own a little café or a large retail chain, you can’t avoid social media to grow your customer base, improve brand awareness, reach new markets, and, most importantly, outperform your competition!

Nearly half of the world’s population, or 4.7 billion individuals, actively use social media and spend 2.5 hours per day on social networks and messaging. And this figure is only going up. That’s a huge potential for businesses to reach and target the right target audience at scale.

However, there are benefits and challenges to social media success for all brands!

Brands on social media face several obstacles, majorly the challenge of gaining momentum or engagement amidst intense competition followed by evaluating return on investment (ROI), measuring key performance indicators (KPIs), managing their brand reputation, and handling negative feedback, among other issues.

Customer Engagement : A major challenge with social media!

Customer engagement on social media refers to the interactions and conversations between a business or brand and its customers on social media platforms. It is important because social media has become an integral part of people’s daily lives, and it provides a direct channel for businesses to connect with their customers and build relationships with them.

Inspiring interaction between brands and customers has long been a major goal of marketers. But in today’s rapidly evolving, digital-first landscape, customer engagement has become more important than ever.

The secret weapon that differentiates exceptional, enduring companies is the quality of their customer engagement, encompassing the full set of activities through which companies build direct relationships with their customers.

Bill Magnuson CEO and Cofounder, Braz Tweet

Building strong relationships with customers and offering the best possible customer experience is the single most effective differentiator in business. This can be accomplished via marketing campaigns, web content, and outreach via social media, mobile, and wearable devices.

One of the important KPIs is customer engagement rate, which is calculated by taking the total number of engagements (likes, comments, etc.) on a post, dividing it by the total number of post views (impressions), and multiplying that number by 100.

Content that resonates with the target audience usually has high engagement rates.

With so many communication platforms at their disposal, brands and retailers have unprecedented opportunities to reach consumers at different stages of the buying journey. At the same time, they face a sharp decline in conversions if they can’t capture and maintain their audience’s attention in a highly saturated digital market.

Using AI to fix customer engagement issues!

It is amazing how artificial intelligence has the potential to simplify the lives of business owners and social media marketers by analyzing engagement data on social media.

AI can accomplish this task by collecting data from the internet and analyzing the online conversations and discussions between customers, which can aid in making real time business decisions. AI-driven data can indicate why customers contact a brand, what communication channels they prefer to use, and where they are in their buying journeys. Best of all, AI can answer those questions accurately and in real time.

Leveraging AI-powered Social listening platform to boost customer engagement!

The process of monitoring and analyzing online conversations and mentions of a brand, product, industry, or any relevant topic to understand the sentiments, opinions, and needs of the target audience is referred to as “social listening.”

We at evalmyBRAND – an AI-powered social listening platform – use AI technology to automate social media monitoring, making it more accurate, efficient, and scalable.

AI algorithms can quickly analyze vast amounts of data from multiple social media platforms, including text, images, videos, and audio, and extract meaningful insights. AI-powered tools can identify patterns and trends, classify sentiment, and categorize mentions into themes, enabling companies to quickly understand the general sentiment and conversation surrounding their brand.

Artificial Intelligence (AI) technology in social listening refers to the use of machine learning algorithms, natural language processing (NLP), and other AI techniques to analyze and interpret online conversations and mentions of a brand, product, industry, or any relevant topic.

What other ways social listening can help?

In addition to helping reduce the customer-company gap, evalmyBRAND can also assist with brand insights and product reviews, which can improve engagement and loyalty among customers.

Sentiment Analysis

One of the key applications of AI technology in social listening is sentiment analysis. AI algorithms can quickly classify mentions into positive, negative, or neutral sentiments, providing a comprehensive understanding of how people are feeling about a particular topic.

Real-time insights

With the ability to process massive amounts of data in real-time, AI technology has made social listening to an essential tool for businesses to gain a competitive edge and stay connected with their customers.

Identify influencers

Identify influencers and advocates. Listening to social conversations about your industry will give you a sense of who the important influencers are. These are important people to connect with. As the term implies, they can have a huge influence on how their followers and fans feel about you—or your competitors.

Conclusion:

In conclusion, AI-powered social listening can be leveraged to gain actionable insights to improve customer engagement and the all-around customer experience across social media channels by analyzing and understanding your customers better. Additionally, it has the ability to analyse market competitiveness, understand consumer sentiment, and reach data-driven business decisions.