Sentiment Analytics

Narrative BI for Sentiment Analytics

Understand Customer Sentiment to Improve Engagement

Sentiment

Sentiment Business Intelligence

Automated Sentiment Analysis

Understand customer sentiment to improve engagement with Narrative BI. Our platform analyzes social media mentions, reviews, and customer feedback to gauge sentiment. Use these insights to tailor your communication strategies, address concerns, and enhance brand reputation.

What is Sentiment Analytics?

Why is Sentiment Analytics Important?

Sentiment analysis involves analyzing customer feedback, reviews, and social media mentions to gauge public opinion about your brand, products, or services. It includes examining positive, negative, and neutral sentiments to understand customer perceptions.Sentiment analysis is important because it provides insights into how customers feel about your brand. By leveraging these insights, businesses can address customer concerns, improve products and services, and enhance brand reputation.

Sentiment Dashboards

Sentiment Insights

With Narrative BI, you can ask questions and get automated insights from your Sentiment data. Simply connect your Sentiment data source or upload a spreadsheet and get actionable insights in minutes.

Understand Customer Sentiment to Improve Engagement

Sentiment Data Analytics

Sentiment Analytics Best Practices

Understanding the nuances of customer sentiment is crucial for making informed decisions. One best practice is to segment sentiment data by customer demographics or behavior. By doing this, you can uncover deeper insights into how different groups perceive your brand, allowing for more targeted and effective responses. This segmentation helps you address specific concerns and opportunities, ensuring that your strategies are aligned with the unique needs of each customer segment.

Narrative BI leverages AI to automatically surface key patterns and unexpected findings in your Sentiment data, ensuring you don’t miss out on critical opportunities or hidden issues. By adopting these best practices, you can transform raw data into actionable insights that drive better business outcomes.

  • Leverage Sentiment data: You can find all the answers to your questions in the Sentiment data, and the best practitioners of Sentiment analytics use that data to identify trends and better understand patterns.
  • Use visualization tools: Visualizations such as charts and graphs are common in BI software, as they are essential for understanding data and making informed decisions. You can easily visualize your Sentiment data using the AI Chart Generator tool in AI Data Analyst.
  • Track KPIs: Tracking key performance indicators helps you measure your Sentiment performance and identify areas for improvement. Most successful businesses have adopted weekly/daily KPI summaries, comparing the latest metrics to those from the prior period. You can easily automate this process by using Narrative BI’s Tracking Tools.
  • Prioritize your goals: Not everything that can be measured should be measured. There are a lot of Sentiment data available for analysis, but you should start by identifying high-priority opportunities that can have an immediate impact on the business. You can specify your key metrics in the Narrative BI’s Reporting Tool.

Benefits of Sentiment Analytics

Improved Customer Relationships: Understand and address customer sentiments to enhance relationships.

Better Product Development: Use sentiment analysis to inform product improvements and innovations.

Enhanced Brand Reputation: Monitor and manage brand reputation through sentiment insights.

Informed Marketing Strategies: Tailor marketing messages based on customer sentiments.

Not convinced yet? Listen to our customers
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George Pohl

Narrative BI is well suited for SME's!

Narrative firstly is a great tool for beginners in marketing analytics - it allows all of our team - even non-technical / analytical get involved! As Mark Ritson said, 'The average is the enemy of the marketer' and Narrative helps us fight that battle every day. Instead of wading through averages, we can spot and evaluate the outliers, the true insights.
Arsen Avdalyan

Narrative BI helps me view and act on tons of customer data points easily.

There’s a lot of customer data in the internal analytics tools, but it’s not actionable for our product team. You have to spend a lot of time to detect unexpected user behavior. Narrative BI helps me understand our users better and now it’s easier to decide which features we should optimize next.
Curt Cuscino

Encapsulates Marketing + Advertising Performance Data to Work Smarter, Not Harder

Google Analytics is ultra-powerful when it comes to managing our clients’ MarTech stacks, but it’s easy to get lost in the overwhelming amount of data there. Narrative has given us a way to get “just the good stuff”, and the most important metrics we need for making daily decisions on behalf of my agency’s clients from Analytics to Ad Spends. The condensed insights we get from Narrative are incredibly helpful, and now indispensable in our daily mix of tools.
Bloxspring
HypeLife Brands
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