Top 8 Use Cases of Sentiment Analysis Marketing
“This was great!”
“I had a horrible experience.”
The sentiments in these sentences can be inferred from certain words, such as “great” and “horrible”. By analyzing the sentiments of reviews, feedback, and other customer interactions, businesses can improve their marketing campaigns.
Explore eight cases of sentiment analysis in marketing along with four benefits of sentiment analysis marketing:
Use cases of sentiment analysis marketing
1. Social listening
Social media is a goldmine of instant customer feedback. Sentiment analysis tools process posts and comments to instantly measure public opinion about a brand, product, or industry trends. This lets marketers quickly grasp what customers love or hate.
Real-life example
The Atlanta Hawks used sentiment analysis to adjust their social media strategy. This change resulted in a massive 127% increase in video views and a 170% jump in audience growth in just three months.1
2. Brand insights and crisis management
Tracking customer sentiment provides an X-ray view of a product’s strengths and weaknesses. By monitoring this feedback in real-time, brands can catch negative trends early and often prevent a full-blown public relations crisis. Positive feedback can also be turned into authentic brand stories.
For example, if sentiment analysis detects a sudden spike in negative feelings after a product launch, the company can immediately release a statement or a fix, addressing concerns before the issue spirals out of control.
3. Competitive analysis
Sentiment analysis lets a company see exactly how customers feel about its rivals. By reviewing public feedback on competitor brands, a company can benchmark its own performance, find gaps in the market, and spot opportunities to stand out.
For instance, a company can immediately focus its marketing on its own product’s superior reliability, pulling in customers looking for a more robust option, if a competing product constantly receives complaints about poor durability.
4. Opinion mining for deeper insights
This technique goes beyond labeling feedback as merely positive or negative. It digs into specific emotions like joy, frustration, or enthusiasm. This granular understanding of customer feelings helps refine market research, campaigns, and service strategy.
A retail brand might discover customers are “very happy” with the variety of products but “frustrated” with the checkout process. This sharp insight directs efforts to the exact area that needs fixing to boost overall satisfaction.
5. Voice of Customer (VoC) analysis
VoC analysis captures customer feedback at each interaction across the journey, from purchase to support. By integrating sentiment analysis into VoC programs, brands can continuously improve customer experiences based on real-time feedback, fostering customer loyalty.
Example: If VoC sentiment analysis detects dissatisfaction with a checkout process, brands can simplify it, increasing conversion rates and customer satisfaction.
6. Market research and trend analysis
Marketers can monitor major shifts in market feeling, reactions to new industry trends, major public events, or changes in technology. Analyzing the sentiment around these topics helps marketers adjust strategies to align with customer expectations and predict changes in demand.
Real-life example
James Hardie, a building materials company, used social listening tool for in-depth market research. By examining online conversations and sentiment, they uncovered industry trends, customer preferences, and competitor strategies, enabling them to enhance product development, refine sales tactics, and improve business operations.2
7. Influencer prospecting
For truly authentic collaborations, brands must find influencers whose audiences align with their own brand sentiment. Sentiment analysis helps identify influencers whose followers not only match the target market but also view relevant topics favorably.
For example, if a brand identifies an influencer whose followers have a high positive sentiment toward eco-friendly products, it can launch a campaign with that influencer to reach an environmentally-conscious audience.
8. Campaign performance analysis
Understanding campaign performance in real-time allows brands to optimize their approach based on audience sentiment. Sentiment analysis tools let marketers assess reactions by demographics and regions, refining messages for maximum impact.
A brand can track sentiment on a new ad campaign, identifying positive reception among younger demographics but neutral or negative sentiment among older audiences. This insight allows the brand to tailor future ads to appeal more broadly.
Benefits of marketing sentiment analysis
Sentiment analysis moves brands beyond simple data to understand the human element of the market.
1. Understanding your audience
Understanding your audience is crucial to have a successful marketing campaign. This can be done on several platforms:
Twitter, Facebook and Instagram can be scraped to check for sentiments and perceptions of people about your brand or products and services. People also often write blogs and review articles which can be of help too.
- Any conversations with your customers through emails, text messages or complaint/feedback forms can also be useful to check responses to your products and tailor marketing campaigns accordingly.
- Sources such as newspapers and online forums can also be scraped to better understand what people think of your business.
- These techniques can help you evaluate your reputation and customer demographics, such as age and gender, in the market so you can know your target audience and who you need to focus on in your marketing strategies.
- Another way to see customers’ reaction is also by scraping data from influencers’ pages to see what they and their followers say about your products. Research suggests that 81% of consumers surveyed bought a product by a link shared by an influencer.3
For instance, KFC, Pizza Hut, and McDonalds, use sentiment analysis with their customer feedback and food preferences. This helps them in improving customer experience and increasing sales.4
Also, check our data-driven list of sentiment analysis services if you think your company can benefit from sentiment analysis.
2. Staying competitive
- Sentiment analysis can also help in determining where you stand among competitors. You can check customer feedback also for your competitors to see how consumers are responding to their products and which aspects of their products do they find good or bad.
- All the tools which you use to gather data for your product’s analysis can also be used for your competitors as long as the data used is publicly available. For example, web scraping tools help businesses and individuals automatically extract company data from web sources. You can then use this data to check how consumers are rating their products and make a comparative analysis with your own products.
- You can also include any non customer feedback, such as those of bloggers or people mentioning any reasons for disliking/avoiding your product. This information can help you prepare better competitive products.
Sponsored:
Bright Data’s Data Collector can help with scraping data from online platforms which can be used for sentiment analysis.
Source: Bright Data5
3. Making better advertisements
- You can also check for public reactions to certain controversial or trending topics and use that as an advantage to make better advertisements.
- One such example is of Coca Cola using a message of inclusivity in its Super Bowl ad of 2019.6
- However, you need to be careful about sensitive topics. For instance, Pepsi’s ad of 2017 backfired as people thought it trivialized the protest movements for Black Lives Matter.7
- Sentiment analysis can help you determine whether your marketing campaign is appropriate for different places and cultures. One place may take the ad positively while another group of the people may see it as harmful to their culture.
4. Preventing setbacks and crises
- If your product is experiencing an impending problem and you can see customers talking about it, then it can be used for your benefit by taking swift action and fixing any upcoming crises.
- You can also keep a check on your customer service’s operation and success by seeing how people are providing feedback to you. You can make them fill anonymous customer surveys to make sure your customer services are helpful and quick.
- One research has shown that companies can lose money due to bad customer service, making customers switch to another brand.8
What are some challenges of using sentiment analysis?
- It can be difficult to determine the tone of comments as at times there can be neutral comments which do not give much information but can be mistaken as positive or negative by the algorithm or even left out. For instance, in the sentence “The restaurant is located at a busy place”, it’s difficult to understand whether being busy here is something negative or positive.
- Some comments are sarcastic, such as “What a great idea!” can be shared as a tweet with an absurd marketing campaign idea as sarcastic criticism which can be mistaken for a positive remark.
- People often comment with emojis or idioms, which again can be difficult to teach the algorithm to categorize. Similar problems can come with customers using more than a single language in comments.
What is sentiment analysis in marketing?
Sentiment analysis in marketing helps brands understand customer emotions, opinions, and attitudes toward their products, services, and campaigns. By analyzing customer sentiment in sources like social media posts, reviews, and survey responses, companies can gauge overall sentiment as positive, neutral, or negative.
Using sentiment analysis tools with natural language processing (NLP) and machine learning, marketers uncover valuable insights into customer experience, loyalty drivers, and areas needing improvement. This deeper understanding of brand sentiment enables companies to adjust marketing strategies, strengthen brand health, and respond to customer preferences more effectively.
Further Reading:
- Applications of E-Commerce Sentiment Analysis
- Sentiment Analysis Benchmark Testing
- Sentiment Analysis Methods: Overview, Pros & Cons
Reference Links
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