List of Wordnerds Platform Customers
Gateshead, NE8 3DF,
United Kingdom
Since 2010, our global team of researchers has been studying Wordnerds Platform 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 Wordnerds Platform for Customer 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 Wordnerds Platform for Customer Analytics include: Sovereign Network Group UK, a United Kingdom based Non Profit organisation with 3000 employees and revenues of $966.0 million, Guinness Care & Support Financial Department, a United Kingdom based Construction and Real Estate organisation with 2268 employees and revenues of $498.0 million, Bpha Limited, a United Kingdom based Non Profit organisation with 450 employees and revenues of $115.0 million and many others.
Contact us if you need a completed and verified list of companies using Wordnerds Platform, 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 Wordnerds Platform 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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Bpha Limited | Non Profit | 450 | $115M | United Kingdom | Wordnerds | Wordnerds Platform | Customer Analytics | 2024 | n/a | In 2024, Bpha Limited implemented the Wordnerds Platform as a Customer Analytics solution to centralize tenant feedback across its housing operations. The deployment focused on aggregating and automatically classifying feedback from surveys, complaints and repairs channels in the United Kingdom, enabling analysis of 100% of incoming feedback on day 1. Configuration and module usage concentrated on text analytics capabilities, including TSM style theme classification and domain-specific hazard detection aligned to Awaab's Law and HHSRS related indicators. The Wordnerds Platform was used to apply automated taxonomy tagging, thematic clustering and prioritization logic to surface safety and service issues for case teams. Operational integration included feeding classified outputs into reporting and leadership dashboards, with Power BI reported as the downstream visualization channel to share insights with senior management. The implementation covered customer experience, repairs and complaints workflows, consolidating feedback streams into a single analytics pipeline for housing teams across Bpha Limited. Governance and workflow changes were oriented around automated triage and escalation, where theme classification and hazard flags triggered casework routing and monitoring by operational teams. Configuration also supported monthly operational cadence for review, with classification outputs informing risk identification and service recovery processes. Outcomes reported from the Wordnerds Platform implementation include immediate full coverage of tenant feedback analysis, a time saving equivalent to 160 hours per month, a 32% reduction in repeat complaints and approximately £180,000 in annual savings. These results were realized by using the Customer Analytics capabilities of the Wordnerds Platform to accelerate detection, prioritization and operational handling of tenant issues. | |
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Guinness Care & Support Financial Department | Construction and Real Estate | 2268 | $498M | United Kingdom | Wordnerds | Wordnerds Platform | Customer Analytics | 2024 | n/a | In 2024, Guinness Care & Support Financial Department deployed Wordnerds Platform for Customer Analytics to mine resident feedback and surface non-obvious drivers of damp and mould. The initial deployment concentrated on resident voice analytics to identify signals such as ivy or creeping plants blocking ventilation, enabling targeted remedial actions and prioritisation of red-flag complaints through automated surfacing of high‑risk reports. Configuration and module use centered on hazard monitoring aligned to HHSRS and Awaab's Law style detection, and on topic tagging workflows that cross-reference feedback themes with repair and asset records. Functional capabilities implemented included text analytics and topic classification, hazard scoring tied to escalation rules, and prioritisation logic to convert sentiment and topic tags into actionable repair tickets and investigation queues. Operational coverage included housing operations, customer experience and repairs teams within Guinness Care & Support Financial Department, with the Wordnerds Platform integrated against repair and asset data sources to prioritize interventions. Governance and process changes established red-flag triage workflows and new escalation paths that route platform-identified cases to repair teams for targeted remedial actions and prioritisation of follow up. | |
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Sovereign Network Group UK | Non Profit | 3000 | $966M | United Kingdom | Wordnerds | Wordnerds Platform | Customer Analytics | 2023 | n/a | In 2023, Sovereign Network Group UK implemented the Wordnerds Platform to automate tagging of STAR surveys, live chat and other tenant feedback. The Wordnerds Platform serves as a Customer Analytics application supporting housing and customer experience workflows across the organisation. The deployment focused on automated tagging workflows and configuration of thematic taxonomies to convert free text feedback into structured theme codes for root cause analysis. Module usage is inferred to include STAR and TSM theme banks and analytics capabilities aligned to Customer Analytics functions, enabling automated classification and theme extraction from survey and chat channels. Outputs were produced as BI ready data for organisation wide reporting, with module usage inferred to include a Power BI integration to surface repairs and service insight to operations and customer experience teams. Operational coverage targeted housing and customer experience teams ingesting tenant feedback from STAR surveys, live chat and other feedback touchpoints. Governance centered on standardised tagging rules and theme bank configuration to maintain consistent categorisation across teams, and the automated workflows reduced manual tagging overhead by roughly 2 hours per day, approximately 10 hours per week. The BI ready outputs produced by the Wordnerds Platform led to repairs service changes within a month. |
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