List of Medallia Athena AI Customers
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Since 2010, our global team of researchers has been studying Medallia Athena AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Medallia Athena AI for Predictive Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Medallia Athena AI for Predictive Analytics include: DHL, a Germany based Transportation organisation with 580580 employees and revenues of $92.61 billion, Santalucia.es, a Spain based Insurance organisation with 8036 employees and revenues of $4.00 billion, Noom, a United States based Professional Services organisation with 3000 employees and revenues of $450.0 million and many others.
Contact us if you need a completed and verified list of companies using Medallia Athena AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Medallia Athena AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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DHL | Transportation | 580580 | $92.6B | Germany | Medallia | Medallia Athena AI | Predictive Analytics | 2023 | n/a | In 2023, DHL implemented Medallia Athena AI within a Predictive Analytics initiative focused on customer listening and contact center signal capture. The deployment was executed at DHL Express Vietnam, where ICCC+/Medallia was provisioned to capture omnichannel customer signals and feed analytics into contact center and service recovery processes, aligning with DHL's broader Medallia-powered global listening program. The implementation indicates configuration of Medallia Athena AI capabilities for predictive signal scoring, topic detection, and automated workflow orchestration to prioritize complaints and surface NPS drivers. Medallia Athena AI was used to centralize experience data and generate predictive insights that informed complaint triage, service recovery routing, and agent feedback loops within the contact center environment. Operational coverage was concentrated on DHL Express Vietnam, explicitly covering contact center operations and regional service recovery teams, and leveraging omnichannel signals captured by ICCC+/Medallia to close the loop on customer issues. Integrations were centered on operational workflows rather than named downstream systems, enabling analytics outputs to drive prioritization and case handling inside contact center and service recovery processes. Governance and rollout were regional, embedding the Medallia-powered listening approach into existing CX and contact center processes, with internal oversight aligned to local operations. Third party documentation and Medallia Great CX materials corroborate the deployment, and reported outcomes include measurable improvements in NPS, complaint resolution, and operational metrics across the Vietnam region. | |
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Noom | Professional Services | 3000 | $450M | United States | Medallia | Medallia Athena AI | Predictive Analytics | 2020 | n/a | In 2020 Noom deployed Medallia Athena AI as a Predictive Analytics capability to drive customer support and CRM insight generation across its United States operations. The deployment centers on Medallia Athena AI text analytics and conversation analytics to ingest and normalize email and chat transcripts for downstream analysis. The implementation configured the explicit text analytics module within Medallia Athena AI to perform transcript ingestion, natural language processing, topic classification, and conversational signal extraction. Data processing pipelines were built to clean and index transcripts and to surface structured themes and sentiment, aligning with typical Predictive Analytics workflows for automated insight generation. Integrations focus on direct ingestion of email and chat transcripts and routing summarized insight into customer support and CRM workflows, supporting use by Noom's Customer Insights and support teams. Operational coverage is described for customer support and CRM functions within the United States, with analytics outputs used to prioritize issues and inform agent and product decisions. Governance emphasized centralized insight review and operationalization, with the Medallia Athena product page citing Noom's Customer Insights Director about the usage pattern. The implementation delivered rapid, scalable insights and produced cost reductions as stated by the customer, while preserving focus on ongoing model tuning and transcript data governance to maintain signal quality. | |
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Santalucia.es | Insurance | 8036 | $4.0B | Spain | Medallia | Medallia Athena AI | Predictive Analytics | 2023 | n/a | In 2023 Santalucia.es implemented Medallia Athena AI to build an omnichannel Voice of the Customer program and shift from reactive listening to predictive customer experience across its insurance and customer service operations in Spain. The deployment centered on predictive analytics use cases intended to surface at risk customers and automate alerting workflows, positioning Medallia Athena AI as the predictive layer within the broader customer feedback architecture. The implementation included predictive modeling and automated alerting capabilities combined with omnichannel feedback ingestion, enabling continuous classification and prioritization of customer signals. Medallia Athena AI was used to operationalize predictive models, generate high volume alerts for frontline action, and feed case orchestration for claims and retention workflows, aligning with common Predictive Analytics functional modules such as scoring, anomaly detection, and alert management. Operational scope covered customer service and insurance retention activities across Spain, with the platform ingesting voice of the customer inputs to drive service recovery processes and policy retention interventions. Integrations are focused on routing predictive alerts into operational channels and triage processes, supporting cross functional teams in claims handling and customer care. Governance and process changes emphasized a move from reactive surveys to continuous predictive monitoring and alert-driven workflows, with frontline teams using alerts to prioritize interventions. Outcomes reported in the Medallia case study include a 10 point NPS uplift, more than 40,000 alerts managed, and recovery of 25% of at risk policies, demonstrating tangible operationalization of Predictive Analytics through Medallia Athena AI. |
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