Mobius VP enters into Reputation Management enhancement with Keatext AI

Mobius VP, developer of CustomerCount^®, partnered with  Keatext AI five years ago to incorporate text analytics into its popular system. Now CustomerCount, as part of its growing suite of services, offers an upgraded version of the Montreal-based company’s sophisticated analysis component.

Review collection is Keatext’s/Mobius latest improvement that scrapes data across all well-known review sites (e.g., Tripadvisor, Google, Travelocity,  Expedia and more). Its powerful software scours the site for related reviews and analyzes and reports sentiments expressed. Additionally, the AI provides focus recommendations for improvement based upon its analysis of reviews.

The new enhancement will be offered to CustomerCount’s existing clients as well as distributed to other timeshare/hospitality clients through MobiusVP.

CustomerCount clients have used Keatext features since 2019. Through its robust report portal for text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis and  document summarization users can establish actionable insights to improve their brand, manage their reputation and mitigate potential issues.

Through AI, the Keatext process ‘sees’ patterns within comments on a CustomerCount survey and pulls in data from outside travel review sites. It then evaluates and interprets the output– delivering a precise and actionable interface with CustomerCount’s 70+ reporting templates.

CustomerCount President, Bob Kobek explains, “ Keatext takes unstructured data from the verbatim comments from responders and reports them in  structured format helping  businesses determine which words and phrases are used most often and– in what context.

“Keatext strength lies both in the report export capabilities such as user-friendly graphs as well as the further breakdown of categories into four primary buckets:  Praises, Problems, Suggestions and Questions. The upgrades allow users to pull out data for each component and further cross reference it with others.”

The groundbreaking reputation management travel review site tool is yet another way CustomerCount demonstrates its dedication to ensure clients get the most out of their surveys. By  analyzing, reviewing, and reporting on the embedded review site responses, CustomerCount users have a more nuanced look at what their customers are thinking and saying.

Charles-Olivier Simard, Co-founder, and CTO of Keatext said “we are very excited to be entering into a marketing partnership with MobiusVP. Over the years, we’ve worked together to incorporate much of our technology into their offerings and now the data can really support a full spectrum of reports and analytics. We are glad they’ve also integrated our ability to deep dive into review sites to further offer a better view of the customer journey.”

Existing CustomerCount Keatext subscribers will be offered a proof of concept at no cost for a limited time. For a demonstration of the power of CustomerCount and the Keatext AI contact LisaKobek@MobiusVP.com

About CustomerCount^®

CustomerCount is a feature-rich, cloud-based survey solution providing intuitive real-time reporting, fast turnaround on requested updates, and detailed and dynamic data gathering capabilities to support process improvement efforts, build customer loyalty and improve your bottom line. Developed and managed by Mobius Vendor Partners, CustomerCount was initially designed for the timeshare and contact center industries and is now used by organizations across numerous different vertical markets and industries. For more information, visit www.customercount.com or call 317-816-6000. Follow them at http://www.customercount.com/blog/ on X@CustomerCount or facebook.com/CustomerCount.

About Keatext

Keatext is a cost-effective, cloud-based app that quickly gives businesses a picture of their entire interaction with their customers, across all touch points so they can take the right action. Keatext uses natural language processing technology to analyze unstructured customer feedback such as customer comments, product reviews, call center transcripts and open-ended survey responses. Learn more at www.keatext.ai or follow them on X @KeatextAI.