GumGum
1314 7th St 4th floor,
Santa Monica, 90401, CA,
United States
Santa Monica, 90401, CA,
United States
1 310-260-9666
Professional Services
GumGum Technographics
GumGum Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by GumGum and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 480 GumGum employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that GumGum has purchased the following applications: Crosschq 360 Digital References for Candidate Relationship Management in 2022, Apache Spark MLlib for ML and Data Science Platforms in 2017, GumGum for Artificial Intelligence Marketing in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems GumGum is running and its propensity to invest more and deepen its relationship with Crosschq , Apache Software , GumGum or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing GumGum revenues, which have grown to $113.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for GumGum intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
GumGum Data, Technology Stack, and Enterprise Applications
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Crosschq | Legacy | Crosschq 360 Digital References | Candidate Relationship Management | HCM | n/a | 2022 | 2022 |
In 2022, GumGum deployed Crosschq 360 Digital References as a Candidate Relationship Management solution to automate reference checking and surface structured feedback to hiring teams. The implementation was HR focused and operated from GumGum’s United States hub in Santa Monica, CA, aligning recruitment and onboarding workflows with reference-driven insights.
Crosschq 360 Digital References was configured to collect digital references, generate Crosschq 360 reports, and present candidate-level reference analytics to recruiters and hiring managers. Functional capabilities implemented included automated reference collection, standardized reference scoring surfaced in reports, and an opt-in talent pipeline workflow that captured referral consent from references. These configuration choices reduced manual reference check effort and created actionable inputs for interview focus areas and onboarding plans.
Operational coverage centered on talent acquisition, recruiting, and HR onboarding processes within the Santa Monica site, with Crosschq 360 reports used directly by recruiters and hiring managers to shape interview guides and early onboarding activities. The deployment targeted recruiter efficiency and retention management, integrating reference outputs into hiring decision workflows rather than into enterprise system integrations not specified in source details.
Governance and process changes emphasized standardized reference intake and report-driven interview planning, shifting workload from manual phone checks to report review and pipeline opt-in management. Outcomes stated by GumGum include a drop in new-hire turnover to 6 percent, 34 percent of references opting into talent pipelines, and roughly $100,000 saved in reduced turnover costs within six months, while recruiter efficiency and new-hire retention improved as a result of the Crosschq 360 Digital References rollout.
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Talent Sourcing | HCM |
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2022 | 2022 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apache Software | Legacy | Apache Spark MLlib | ML and Data Science Platforms | AI Development | n/a | 2017 | 2017 |
In 2017, GumGum implemented Apache Spark MLlib to operationalize machine learning across its advertising analytics stack and to handle extremely high event volumes. The implementation targeted a platform that ingests more than 1 billion events per day, approximately 6 TB of data daily, and was selected to support continuous processing and model-driven inventory forecasting, addressing the company need to expedite customer decision making and scale quickly.
Apache Spark MLlib was deployed on Amazon EMR as the primary machine learning runtime, with configurations for model training, batch scoring, and feature engineering pipelines. The deployment uses Apache Spark MLlib for inventory forecasting workflows and integrates standard Spark MLlib capabilities for model fitting, transformation pipelines, and distributed feature processing to support programmatic and native advertising analytics.
The architecture places ad servers at the event edge, writing event logs that are uploaded to Amazon Simple Storage Service S3 on an hourly cadence. Amazon Data Pipeline orchestrates production, testing, and development workflows, Amazon EMR runs Apache Spark MLlib workloads alongside Hadoop for hourly data processing, and processed outputs are persisted into Amazon Redshift for downstream analytics and reporting. Operational coverage includes production, testing, and development environments and impacts ad operations and analytics functions responsible for campaign forecasting and reporting.
Governance and operationalization relied on pipeline-driven environment segregation and hourly ingestion patterns to remove processing bottlenecks and maintain continuous processing requirements. The implementation of Apache Spark MLlib at GumGum is positioned as a scalable, EMR-hosted machine learning layer within the larger AWS-based data pipeline, designed to support programmatic advertising, image recognition derived signals, and customer-facing analytics.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| GumGum | Legacy | GumGum | Artificial Intelligence Marketing | AI-Powered Application | n/a | 2021 | 2021 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2011 | 2011 |
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Event Management | Collaboration |
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2017 | 2017 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Enterprise Content Management | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2014 | 2014 |
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Customer Support | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2014 | 2014 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2021 | 2021 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Digital Advertising Platform | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2015 | 2015 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2014 | 2014 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2019 | 2019 |
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SPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Incentive Compensation Management | SPM |
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2018 | 2018 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Governance, Risk and Compliance | TRM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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IT Decision Makers and Key Stakeholders at GumGum
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by GumGum Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||
FAQ - APPS RUN THE WORLD GumGum Technographics
GumGum is a Professional Services organization based in United States,
with around 480 employees and annual revenues of $113.0 million.
GumGum operates a diverse technology stack with applications such as
Crosschq 360 Digital References, Apache Spark MLlib and GumGum,
covering areas like Candidate Relationship Management, ML and Data Science Platforms and Artificial Intelligence Marketing.
GumGum has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Crosschq, Apache Software and GumGum.
GumGum recently adopted applications including
Crosschq 360 Digital References in 2022, Crosschq Recruit in 2022 and StackPath CDN in 2022,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of GumGum’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates GumGum’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete GumGum technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.