Sold by: Relative Insight
Deployed on AWS
Understand why your NPS, CSAT, and CX metrics move by understanding and acting on customer language associated with them
4.5
Overview
Relative Insight AI Text Analytics analyses the open end questions and other text data associated with your key customer metrics. By understanding the language that customers use and the difference between them, you gain a detailed understanding of the root causes of why your NPS, CSAT and CX metrics are moving.
Features such as Heartbeat and Heatmap are available on request at no extra charge.
Highlights
- Provides text analytics tied to your key KPIs
- Provides precise analytics on text that were previously vague. Understand and communicate the reasons for movement of your metrics to stakeholders
Details
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Delivery method
Deployed on AWS
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Introducing multi-product solutions
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Number of datasources | The amount of datasources that you add to the platform | $50,000.00 |
Number of users | The number of users licenses you will require | $5,000.00 |
Flow Automation | Automation module for analytics flow | $5,000.00 |
Dimensions summary
You build your contract from three separate components. The first charges by the number of datasources you connect to the platform. Each connected datasource lets you analyze unlimited words or messages from that source. The second charges by the number of user licenses your team needs. The third adds the Flow Automation module, which automates your analytics flow. These dimensions are independent, so you scale each one to match your data sources, team size, and automation needs. All pricing runs on a contract term.
Top-of-mind questions for buyers
A datasource is a connected feed you want to analyze, such as a survey platform or social listening tool. You can analyze unlimited words or messages from each connected source. There are no per-word or per-message charges. Connecting an additional datasource adds a charge for that source.
The three dimensions bill independently and add together on one contract. Datasource count and user license count both scale with your setup. Flow Automation is a separate module you add on top. Your largest driver depends on how many sources you connect versus how many people need access.
Flow Automation adds automated handling of your analytics flow. It moves work through analysis steps without manual stages. This dimension is optional and priced separately from datasources and user licenses, so you add it only if you need automated analytics flow.
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Vendor refund policy
Refund policy can be provided on request
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
You can get support from Relative Insight by contacting support@relativeinsight.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Jack C.
Love using Relative Insight for qual, quant, and beyond
Reviewed on Aug 02, 2023
Review provided by G2
What do you like best about the product?
I like the flexibility in using it for a range of projects and variables - it can reveal some very interesting insights hiding under the hood.
What do you dislike about the product?
No real downsides. In some instances for smaller quant product open ends it can be more difficult to yield useful findings.
What problems is the product solving and how is that benefiting you?
We've used Relative Insight to help consult for a host of a major financial podcast and help him to discover how different guests speak and talk about certain topics. We even used it to reveal different ways the host intereviewed certain types of guests (for example, males vs. females), which unveiled to him certain biases he may have had.
Maria Victoria O.
Great tool for generating language insights, with brilliant hands-on service
Reviewed on Jul 26, 2023
Review provided by G2
What do you like best about the product?
Our account managers are always on-hand and super helpful, very supportive. The platform in itself provides some great ways for analysing a number of different aspects of language, as well as from a variety of sources.
What do you dislike about the product?
There's nothing I particularly dislike about Relative. The UX is still constantly being improved and I appreciate the opportunity to feedback so that it continues to improve.
What problems is the product solving and how is that benefiting you?
We specialise in cultural insight and language analysis, so we are able to track online conversations about particular topics and compare how different markets and demographics are talking about particular cultural phenomena.
Sandy Z.
It's been a great experience!
Reviewed on Mar 08, 2023
Review provided by G2
What do you like best about the product?
Relative is very useful when you look into differences between groups. Love how fast the insights can be generated.
What do you dislike about the product?
I wish the topic generation could be customized. Lots of words used in each topic I wish I could move them around and add them to stop words dictionary.
What problems is the product solving and how is that benefiting you?
It helps us understand more about the feedback from employee survey
Alex G.
A great tool for finding insights on brands, competitors, industries and other topics
Reviewed on Feb 28, 2023
Review provided by G2
What do you like best about the product?
A unique tool that allows you compare and analyse language/text from different sources like web data, social data and transaction data to uncover insights
What do you dislike about the product?
Its only as good as the data you load in
What problems is the product solving and how is that benefiting you?
Fast discovery of insights such as unique and simialr language used across different data
Joshua A.
Incredible comparative analysis
Reviewed on Feb 20, 2023
Review provided by G2
What do you like best about the product?
Realtive Insight helps me to identify changes and trends in my data over different time periods and enable me to run a comparative analysis across the different parameters in my data. When comparing text in your data, it helps you to pull out key changes that helps me to discover emerging issues. One of the best parts is whilst analysing the data your able to loop back to the comments in question and tag them accordingly to help shape a story for your analysis.
What do you dislike about the product?
Most of my analysis has been to cover the diffrences betwee two different parameters such as date/time, issue type, device type etc... Getting data used over many different parameters can take a while, although you do get detailed analysis from it.
What problems is the product solving and how is that benefiting you?
Identifying emerging and changing issues across the business. It helps us to see what people are talking about and drill down on key parameters to discover the source of the problem.