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SentiSum has proven to be a valuable tool for users in solving various business problems related to customer feedback and sentiment …
Starting at $800 per month
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What is SentiSum?
SentiSum, from the company of the same name headquartered in London, enables users to put the voice of the customer at the centre of a business's service operations, and make strategic customer experience, product and marketing decisions based on what…
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Growth
£800
Cloud
per month
Enterprise
Custom
Cloud
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.sentisum.com/product/pricing
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Details
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- Integrations
- Tech Details
What is SentiSum?
SentiSum enables users to put the voice of the customer at the centre of a business's service operations, and make strategic customer experience, product and marketing decisions based on what customers want. SentiSum’s AI plugs into Zendesk, Dixa, Intercom, Gorgias or other service platforms to report on customer trends in real-time and automatically triage high-priority issues to relevant agents and teams.
SentiSum Integrations
SentiSum Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
SentiSum has proven to be a valuable tool for users in solving various business problems related to customer feedback and sentiment analysis. By utilizing the software, users have been able to gain insights into customer trends and changes in satisfaction in real time. This has allowed them to quickly identify and prioritize issues, making it easier to allocate resources for resolution. The ability to search for specific keywords has helped users understand the impact of product changes on customer sentiment, enabling them to make meaningful improvements based on feedback. Additionally, users have found value in creating customized views for different areas of their business, providing a better overview of customer inquiries and enhancing overall efficiency and customer experience. By analyzing user journeys on their websites, users have also been able to identify pain points and generate ideas for addressing them, such as conducting A/B tests or identifying bugs that need fixing. Overall, SentiSum's software has proven to be an effective solution for enhancing customer service, marketing strategies, and change management within businesses by providing valuable insights from customer communications and feedback.
Easy Navigation: Many users have found the SentiSum tool to be easy to navigate, allowing them to quickly and efficiently access the features and information they need.
Customizable AI Training: Reviewers have praised the ability to train the AI in SentiSum for accuracy. This feature has helped them tap into customer sentiment and gain a deeper understanding of key pain points and trends within customer feedback.
Exceptional Customer Support: The team at Sentisum has received high praise for their exceptional customer support and responsiveness. Users appreciate their willingness to tailor the tool to their specific needs as a team and business, ensuring a positive experience with the software.
Bug Reporting and Updates: Some users have mentioned that they encountered a bug in the software and reported it, but they are disappointed that it has not been fixed yet. They expressed their desire to receive regular updates on the progress of resolving this issue.
Learning Curve: Several reviewers have noted that the software has a learning curve and takes some time to fully grasp all its functionalities. This could potentially be challenging for new users who are trying to get up to speed quickly.
Mis-categorization of Comments: Users have pointed out that the AI sometimes mis-categorizes comments, particularly if they are written in broken English, contain poor grammar, or use text speak. This can make it difficult for the AI to accurately understand the sentiment expressed by customers, leading to potential inaccuracies in its analysis.