List of ConvertLabs Customers
Las Vegas, 89084, NV,
United States
Since 2010, our global team of researchers has been studying ConvertLabs 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 ConvertLabs for Reservation and Booking Management 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 ConvertLabs for Reservation and Booking Management include: MaidWhiz, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million, Swept, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million, You Need A Maid, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million, Maid Guru, a Singapore based Professional Services organisation with 10 employees and revenues of $1.0 million, Brilliantly Clean United States, a United States based Professional Services organisation with 15 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using ConvertLabs, 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 ConvertLabs 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 |
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Brilliantly Clean United States | Professional Services | 15 | $1M | United States | ConvertLabs | ConvertLabs | Reservation and Booking Management | 2020 | n/a |
In 2020, Brilliantly Clean deployed ConvertLabs Reservation and Booking Management on its public website. ConvertLabs serves as the customer-facing booking engine embedded in the company website, enabling appointment scheduling, service catalog configuration, time-slot management, and centralized booking administration. The implementation directly supports Brilliantly Clean customer appointment booking and field service scheduling business functions, with ConvertLabs providing the primary interface between customers and operations.
Deployment footprint is focused on the United States operations of the 15 employee professional services firm, with administrative configuration handled through the ConvertLabs web console and staff access for booking management and calendar views. Operational governance emphasizes role based admin controls and standardized booking workflows to align customer intake with on site cleaning schedules and internal dispatching. The implementation positions ConvertLabs as the application linking Brilliantly Clean Reservation and Booking Management to customer self service booking and internal scheduling processes.
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Maid Guru | Professional Services | 10 | $1M | Singapore | ConvertLabs | ConvertLabs | Reservation and Booking Management | 2019 | n/a |
In 2019, Maid Guru implemented ConvertLabs as its online scheduling solution. ConvertLabs is deployed on their public website to provide Reservation and Booking Management capabilities, delivering an embedded web booking widget, appointment scheduling, availability management, booking confirmations, and customer self service flows.
The deployment embeds the ConvertLabs booking engine into Maid Guru web pages with configuration of service types, configurable time slots, and staff assignment workflows tailored to a small professional services operator of roughly 10 employees in Singapore. Functional modules implemented include service catalog management, calendar synchronization, appointment routing, and automated customer notifications to support day to day booking operations.
Operational coverage centers on customer engagement, scheduling operations, and service delivery coordination rather than back office systems. Governance emphasis is on centralized booking policy rules, configuration controls for service definitions and availability, and a controlled small team rollout that standardized booking procedures and frontline scheduling workflows using ConvertLabs.
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MaidWhiz | Professional Services | 10 | $1M | United States | ConvertLabs | ConvertLabs | Reservation and Booking Management | 2021 | n/a |
In 2021, MaidWhiz implemented ConvertLabs Reservation and Booking Management on its website. The deployment embedded the ConvertLabs booking interface into the MaidWhiz web storefront to capture service reservations, manage appointment scheduling, and provide administrative scheduling controls for a small professional services operation.
MaidWhiz uses ConvertLabs Reservation and Booking Management for customer-facing booking and operational scheduling functions, linking online reservation capture to internal service catalogs and time slot configuration. Governance was handled by a compact administrative team that configured service definitions, availability rules, and user access, with a lightweight rollout focused on direct site embedding rather than broader enterprise orchestration.
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Professional Services | 10 | $1M | United States | ConvertLabs | ConvertLabs | Reservation and Booking Management | 2021 | n/a |
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Professional Services | 10 | $1M | United States | ConvertLabs | ConvertLabs | Reservation and Booking Management | 2021 | n/a |
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Buyer Intent: Companies Evaluating ConvertLabs
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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