The document discusses sentiment analysis as a key tool for businesses to measure and enhance marketing and branding efforts by analyzing consumer sentiment. It provides eight real-world examples of how various industries leverage sentiment analysis to drive growth and operational efficiency, including banking, call centers, and healthcare. The insights gained from sentiment analysis can lead to improved customer retention, attraction of new customers, and enhanced marketing strategies.

1. 8 Real-World Sentiment
Analysis Use Cases
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2. One of the most effective ways to measure marketing and
branding campaigns is to analyze consumer sentiment around
them. Sentiment analysis of your brand gives you tangible data
to review your strengths, weaknesses and business
opportunities. Let’s see in-depth, what sentiment analysis is
and what it can do for your business. As well as, eight real-
world examples where companies have used sentiment
analysis as a business strategy for growth, brand insights and
competitor analysis.

3. What Are Real-World Examples of
Sentiment Analysis?
Almost every industry, company or organization today is going through some
form of digital transformation that results in greater and greater quantities of
both structured and unstructured data. The biggest challenge that companies
have is turning their unusable, unstructured data into useful insights that can
help them make data driven decisions, create operational efficiencies, value
improvement, and overall competitive advantage. Any industry can benefit
from text analytics and sentiment analysis, as all industries collect data and
require that it is transformed into actionable, tangible intelligence that can be
applied to drive change. Here are some real-world use cases of sentiment
analysis across industries and geographies that demonstrate this.

5. 1. Sentiment Analysis in Banking

6. 2. Sentiment Analysis in Call Centers
A European mobile network operator wanted to integrate its call center
software so it could track and analyse all customer service representative
(CSR) interactions. They wanted to get a sense as to what the tipping point of
a certain number of negative interactions was, that was causing customer
attrition.
Repustate’s robust sentiment analysis software analysed each stored call.
They were first converted to text using an intricate speech-text program and
then decoded to look for semantic meaning in relation to products and
services. All this data was further broken down into a granular level to check
if a customer sustained a negative overall sentiment below a certain score. If
the software identified this, a text message was sent to the customer
apologizing for the inconvenience and they were also offered discounts and
other promotional offers.

7. 3. Sentiment Analysis in Healthcare
A large healthcare consultancy company called Health-Links, based in
Jeddah, reached out to Repustate because it needed help in its efforts to
improve the overall quality of healthcare in the Gulf region including villages.
The company locates the invisible dysfunctions and gaps in care services and
maps every phase of the patient’s journey at a hospital with thorough, data-
backed information. They wanted a sentiment analysis solution that could
read and analyse Arabic text accurately without using translations, and have
the scalability and speed to process 12 million surveys, at the least.

8. Why is Sentiment Analysis Important for
Businesses?
Sentiment analysis turns unstructured data into meaningful information. It is
powered by Machine Learning - a part of AI that runs on algorithms that
propel the software to keep learning and improving itself automatically
through experience. Unstructured data gathered from social media listening,
chatbots, medical and call centre transcripts, survey responses, and the like,
can be powerful reservoirs of intelligence. They can guide focused, strategic
change for overall improvement in a brand’s value proposition, brand
experience, and value delivery.

9. The insights gained from sentiment analysis can help a company bring accurate change and
transformation of their business. It can be in areas that are either creating the most negative sentiment
such as product features, price, return policies, customer service, or prices, or areas that stakeholders
are most positive about such as net banking, price match, and such. Overall, these strategic measures
help businesses:
1. Become more competitive
2. Attract new customers
3. Retain present customers
4. Sell more products and services
5. Reduce customer servicing
6. Make customers more profitable
7. Improve marketing messages and campaigns

10. Thank you!
Understand your data,
customers, & employees with
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