Analyse your brand and company's online positioning through digital traces published by your customers.
- Monitor and measure your businesses’ managers' actions and performances;
- Prioritise the features, services and segments to improve;
- Select the more crucial and more effective investments;
- Effectively orient your communication and marketing strategies.
KPIs
Sentiment is an index that measures the level of satisfaction expressed online by users regarding any point of interest, product, service, or brand. It analyses content posted on over 130 online sources (reviews, comments, social media posts, and other online sources) and produces a summary index from 0 to 100 that provides a general overview of your online reputation.
The main objective of sentiment analysis is to understand the general sentiment of users towards a specific product, service or brand. Using natural language processing algorithms and machine learning techniques, positive, negative or neutral opinions expressed by users are identified.
This analysis provides essential information that can be used to evaluate customer satisfaction, identify the strengths and weaknesses of the services offered, identify emerging trends, adapt marketing strategies and improve the overall customer experience.
Sentiment analysis on online content also makes it possible to identify problems or critical issues in managing your services and/or products, facilitating prompt corrective action. Furthermore, it can help you monitor your online reputation and make decisions based on user feedback to improve attractiveness and competitiveness.
This practice offers a detailed insight into customers' opinions, enabling companies and businesses to adopt more effective and customer-oriented strategies. Therefore, sentiment analysis of users’ online content represents a valuable tool for gaining in-depth analysis of the market and guiding business decisions in any industry.
Sentiment analysis can be extremely useful for your business management as it provides essential insight into the opinions and emotions of users towards a specific brand, service or product. Here are four examples of using sentiment analysis:
- Customer Satisfaction Evaluation: Sentiment analysis allows you to evaluate customers’ satisfaction based on their reviews and comments on booking sites, social media, or other online platforms. Analysing the emotions expressed makes it possible to identify the positive and negative aspects of your company's experience. This allows you and your team to improve services and adjust offers based on customers' preferences and expectations.
- Detection trends and preferences: Sentiment analysis can reveal emerging trends and preferences by analysing online discussions and user-generated content. This information can be used to identify new market segments, develop new products or services, or tailor marketing activities to reach specific categories of users.
- Online Reputation Monitoring: Sentiment analysis helps monitor your online reputation by identifying negative comments or unfavourable reviews. This allows you to respond promptly to negative feedback, resolve any issues and improve the overall perception of your brand or company. Additionally, sentiment analysis can pinpoint areas of strength and weakness of the goal and guide improvement strategies.
- Evaluation of the effectiveness of marketing campaigns: Sentiment analysis can be used to evaluate the effectiveness of a specific marketing campaign. Analysing users' reactions and opinions to messages and promotions makes it possible to measure the impact of marketing strategies and make any changes to optimise results. Additionally, sentiment analysis can reveal which types of content or communication approaches generate a positive response from potential customers.
The True Rating Index calculates an overall rating considering digital traces from all available channels. The scores collected are standardised and reported to a unique index on a scale of 1 to 5, providing a clear general vision of the user ratings.
The D / AI Semantic Rating is a qualitative indicator that evaluates your business’s areas on a scale from 0 to 100, starting from the Sentiment and the Impact Rate.
The latter indicates how often people talk about an area in the analysed digital traces. Thus, this indicator describes your business's strengths and areas that need improvement.
By clicking on the "Find out more" link, you gain access to a comprehensive overview of all the areas discussed and evaluated by your customers.
You can opt for a chart or a list view.
Above all, you can drill down and analyse each cluster individually to get more details about the related Sentiment and Impact Rate and its trends.
With the tool's flexibility, you can apply filters to compare a specific cluster with others or check its evolution over time, allowing you to customise your analysis.
Finally, you filter to read and manage the digital traces, mentioning the issue or strength within our Digital Traces Management module.
This widget highlights the top 3 businesses of the selected tag you are analysing or the position of a single business within the entire company.
Analysis
You can analyse the data within the dashboard section using the following filters:
- Temporal: by scrolling through the date picker, you can select the historical analysis period.
- By channel: we collect online digital traces from a large and diverse pool of over 77 trusted sources, which you can analyse and compare, filtering them by scrolling the channel filter within the dashboard.
- By business: if you manage a company with several businesses, you can select specific ones by scrolling through the business picker.
- By tag: if you manage a company with several businesses, you can select a specific business tag from those you already set.
You can access detailed and accurate information over time, filtering them by the following options: today, last week, last month, last three months, last six months and last year.
Compare
Using the “Compare” button, you can compare your results over time (today, last week, last month, last three months, last six months and last year) with your current selection, your business, a specific tag, your competitors (a particular set or a single business or company) or even similar businesses in the area.
