List of Bright Pattern Predictive Dialer Customers
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Since 2010, our global team of researchers has been studying Bright Pattern Predictive Dialer 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 Bright Pattern Predictive Dialer for Call Center 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 Bright Pattern Predictive Dialer for Call Center include: Transcosmos US, a United States based Professional Services organisation with 1000 employees and revenues of $150.0 million, Omni Interactions, a United States based Professional Services organisation with 1200 employees and revenues of $100.0 million, G7 Strategy Group, a United States based Communications organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Bright Pattern Predictive Dialer, 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 Bright Pattern Predictive Dialer 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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G7 Strategy Group | Communications | 10 | $1M | United States | Bright Pattern | Bright Pattern Predictive Dialer | Call Center | 2014 | n/a |
In 2014, G7 Strategy Group implemented Bright Pattern Predictive Dialer to automate large-scale outbound outreach for government and political campaigns. The Bright Pattern Predictive Dialer is a Call Center application used to orchestrate outbound campaigns and manage remote agent workflows for time-sensitive field operations.
The deployment centered on predictive dialing, campaign orchestration, and outbound campaign automation capabilities, including automated call pacing, agent session management, and scripted call flows to increase throughput. Configuration emphasized remote agent connectivity and rapid campaign provisioning to support high volume dialing and seasonal surges typical of political outreach.
Operational scope targeted government and political outreach in the Los Angeles area and enabled rapid remote campaigning during the 2020 census period, with the Bright Pattern Predictive Dialer driving campaign scheduling and agent routing. No specific third party integrations are listed, the implementation focused on operationalizing outbound contact center workflows and remote agent enablement across campaign teams.
Governance changes included centralizing outbound campaign control and automating manual dialing processes to align campaign operations with remote staffing patterns. The implementation delivered explicit outcomes reported by the customer, including a 1000% increase in calls made, roughly 60% cost savings on seasonal peaks, and a halving of average handle time through predictive-dialer usage and automated call handling.
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Omni Interactions | Professional Services | 1200 | $100M | United States | Bright Pattern | Bright Pattern Predictive Dialer | Call Center | 2018 | n/a |
In 2018, Omni Interactions deployed Bright Pattern Predictive Dialer within a cloud contact center to support virtual work at home agents and deliver omnichannel customer service across voice, chat, email and social for Fortune 1000 customers. The implementation is categorized as Call Center and was aligned with Omni's BPO operating model, enabling inbound contact handling alongside inferred outbound dialing workflows to support high-volume outbound programs.
The deployment used a cloud-hosted architecture with agent desktop routing, omnichannel session management, predictive dialing capabilities in Bright Pattern Predictive Dialer, and typical Call Center functional modules such as campaign scheduling, automatic call distribution, and real-time monitoring. The case study cites faster scaling, simpler integrations, and reduced agent ramp time as explicit outcomes, and operational governance focused on rolling out standardized workflows for remote agent pools, workforce management, and quality monitoring to support both outbound and omnichannel inbound operations.
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Transcosmos US | Professional Services | 1000 | $150M | United States | Bright Pattern | Bright Pattern Predictive Dialer | Call Center | 2018 | n/a |
In 2018 Transcosmos US deployed Bright Pattern Predictive Dialer as part of a global omnichannel contact center implementation. The deployment used the Call Center application to unify voice, chat, email and IVR across its U.S. and Asia sites, tying together multichannel routing and IVR session handling.
The implementation configured Bright Pattern routing, IVR, omnichannel session handling and agent desktop consolidation, with outbound dialing workflows and contact blending implemented for BPO operations. Bright Pattern Predictive Dialer was used to orchestrate outbound call sequencing and power-dialer style call pacing, inferred as part of Bright Pattern outbound capabilities typical in BPO environments.
Operational scope covered contact center operations and BPO delivery across Transcosmos US global network, supporting rapid new site openings and shortened agent ramp times. Business functions impacted included front-line customer service, workforce training and operational provisioning for new sites.
Governance centered on centralized configuration and standardized agent workflows to reduce training overhead, the rollout reduced agent training time from three days to about three hours. The published implementation produced a reported 5x growth in platform usage and accelerated site startup times, outcomes disclosed in the case study.
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