Understanding social media marketing, customer behaviours and sentiment analysis

Are you wondering what your audience really thinks about your brand? Sifting through the comments and relying on customer feedback never gives the whole picture. Sentiment analysis uses AI to understand the emotions behind your customers, looking at comments, reviews and social media posts. This is great for understanding audience behaviour and identifying areas of improvement.

Our proprietary tools do exactly this - they’re designed to give you the advantage in understanding and engaging your target markets & audiences. But what exactly do they do and why are they helpful? We’ve put together a guide explaining sentiment analysis and why brands are using it to get ahead in their marketing strategies.

What is sentiment analysis?

Sentiment analysis is a technique that uses AI to determine the emotional tone expressed in text. Often referred to as opinion mining or emotion AI, it goes well beyond simple keyword tracking to uncover the genuine feelings behind customer comments, reviews, and social media posts.

Modern sentiment analysis tools utilise advanced Large Language Models to understand context and tone of voice. They typically assign a sentiment score, providing a numerical representation of whether the content expresses positive, negative, or neutral emotions.

Why understanding customer emotions matters for your brand

Emotions drive customer behaviours. From purchasing decisions to brand loyalty and word-of-mouth recommendations, how customers feel about your brand significantly impacts your bottom line.

Sentiment analysis gives your brand the ability to:

• Gauge public perception in real-time, identifying trends as they emerge rather than after they've peaked
• Pinpoint specific aspects of your products or services that evoke particular reactions (known as aspect-based sentiment analysis)
• Detect potential issues early, allowing you to address concerns before they escalate into full-blown crises
• Understand the intensity of emotions, not just their positive or negative nature
• Identify your brand advocates and detractors to nurture relationships with your most valuable customers

When you understand the emotional landscape surrounding your brand, you can craft more personalised communications, solve problems proactively, and create content that genuinely resonates with your audience - building stronger relationships and loyalty.

How sentiment analysis works

Sentiment analysis follows a process:

1. Data collection - Gathering text data from posts, comments, reviews, and hashtag conversations.
2. Preprocessing - Cleaning and preparing this data by removing noise and normalising text.
3. Feature Extraction - Identifying relevant linguistic patterns and key phrases.
4. Classification - Applying AI algorithms to categorise the sentiment as positive, negative, or neutral.

Modern sentiment analysis employs various methodologies, from lexicon-based approaches using predefined lists of words with associated sentiments to sophisticated machine learning models. The most advanced solutions leverage deep learning technologies to grasp nuanced contexts, including sarcasm and cultural references.

The advantage of AI-powered sentiment analysis is its ability to process vast amounts of data quickly and consistently, removing human bias and delivering insights at scale.

What is a sentiment analysis in social media marketing

Monitor brand reputation

Continuous tracking of public sentiment provides an early warning system for your brand's reputation. By detecting shifts in sentiment over time, especially after campaigns or product launches, you can measure impact and make informed adjustments.

This monitoring allows you to benchmark your brand sentiment against competitors, giving you a clear picture of your position in the market. Research shows that a single negative review on social media can cost a company approximately 30 customers—making sentiment monitoring not just useful, but essential.

Create marketing messages based on data

Understanding what language and content evoke positive emotions allows you to create more effective marketing campaigns. Sentiment analysis helps to:

• Deliver content that aligns with positive sentiment trends
• Address concerns raised in negative feedback
• Optimise campaigns in real-time based on audience response
• Identify trending topics through analysis of hashtags and keywords

Create more empathetic customer support

With 82% of consumers expecting responses in 10 minutes or less, sentiment analysis can revolutionise your customer support by:

• Seeing frustration in social media posts
• Tailoring to more empathetic support responses
• Identifying recurring issues to improve customer service processes

Brands that have used sentiment analysis

Some considerations…

There’s still room for improvement for sentiment analysis, as what a human could distinguish, AI sometimes can’t. Sarcasm, irony and slang can sometimes confuse algorithms and sometimes spam can skew the results.

Is it time to understand your audience?

Sentiment is no longer just nice to have, it’s an essential part of any comprehensive marketing strategy. In understanding how your audience feels, you can create more resonant marketing campaigns and enhance customer engagement.

Today, the brands that understand customer emotions are the ones that succeed. Is it time for your social media strategy to follow suit?

What is sentiment analysis like in action?

See it for yourself