New York, 10018, NY,
United States
StubHub Technographics
StubHub Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by StubHub and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1500 StubHub employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that StubHub has purchased the following applications: Lever by Employ for Applicant Tracking System in 2020, Antrophic Claude for AI infrastructure, MLOps Platforms in 2025, Skype Chatbot for Chatbots and Conversational AI in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems StubHub is running and its propensity to invest more and deepen its relationship with Employ , Anthropic , Voiceflow 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 StubHub revenues, which have grown to $650.0 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 StubHub 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.
StubHub Tech Stack and Enterprise Applications
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Employ | Legacy | Lever by Employ | Applicant Tracking System | HCM | n/a | 2020 | 2020 |
In 2020, StubHub implemented Lever by Employ as its Applicant Tracking System on the company careers site, using Lever by Employ to capture candidate applications directly from jobs.lever.co/StubHubHoldings. The implementation positioned the Applicant Tracking System as the primary web-facing application for candidate intake and pipeline management tied to StubHub recruiting activities.
The Lever by Employ deployment focused on standard Applicant Tracking System capabilities such as job posting and distribution, candidate capture from the careers site, resume parsing, structured candidate pipelines, interview scheduling, and offer workflow configuration. Configuration work emphasized stage-based pipelines and interview scorecards, enabling recruiting teams and hiring managers to enforce consistent evaluation workflows and requisition approvals within Lever by Employ.
Integration scope centered on the StubHub careers web presence, where Lever-hosted job pages collect applications and route candidate records into the Applicant Tracking System. Operational coverage included recruiting and talent acquisition functions and the hiring manager community at StubHub, with the system serving as the centralized source for application data and candidate status tracking.
Governance for the Lever by Employ implementation included role-based access controls, requisition approval chains, and standardized interview stages to support consistent hiring decisions and auditability. Process changes focused on instrumenting pipeline hygiene and candidate ownership rules inside the Applicant Tracking System, aligning recruiting workflows to the capabilities of Lever by Employ.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Anthropic | Legacy | Antrophic Claude | AI infrastructure, MLOps Platforms | AI Development | n/a | 2025 | 2025 |
In 2025, StubHub implemented Antrophic Claude as an AI infrastructure,MLOps Platforms deployment to address time-sensitive live event ticketing support and scale multilingual customer service. The implementation targeted customer support operations for StubHub, the global live events marketplace, with the goal of delivering near-instant, policy-compliant resolutions for order tracking, ticket access, and complex policy questions.
The Antrophic Claude implementation was built around a Retrieval-Augmented Generation pipeline that retrieves real-time knowledge base entries, customer details, and order context to produce context-aware responses. Functional capabilities implemented include an AI virtual assistant handling end-to-end routine cases, multilingual 24/7 support, intent understanding for nuanced requests, and a continuous improvement loop for model tuning and policy alignment.
Deployments integrated Antrophic Claude with StubHub internal systems via the RAG pipeline to surface event data, order state, and internal policies in real time, and the engineering organization is trialing Claude Code to support developer productivity. The service was introduced rapidly, with StubHub launching an initial use case within six weeks and operating the model alongside human agents to escalate complex cases and ensure policy compliance.
Governance and rollout focused on data-driven model selection and iterative refinement, StubHub conducting A B testing that showed Claude consistently outperforming other models on resolution rate and customer satisfaction. Explicit outcomes stated by StubHub include customer wait times dropping from over 20 minutes to near-instant responses and customer service cost reductions of over 30 percent, while Claude improved response quality and enabled the company to convert support from a cost center into a strategic product capability with Anthropic support for ongoing optimization.
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Generative AI Platforms | AI Development |
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2025 | 2025 |
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ML and Data Science Platforms | AI Development |
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2014 | 2014 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Skype Chatbot | Chatbots and Conversational AI | AI-Powered Application | n/a | 2016 | 2016 |
In 2016, StubHub deployed a Skype Chatbot under the Chatbots and Conversational AI category to enable users to search for and purchase event tickets directly inside Skype. The Skype Chatbot was published as one of Skype's announced partner bots in August 2016 and ran on Skype's Bot Platform using the Microsoft Bot Framework, with Microsoft as the vendor.
Implementation concentrated on conversational ticket discovery and purchase flows, exposing search, event detail retrieval, price presentation and guided checkout interactions inside the Skype Chatbot experience. Core functional capabilities aligned with Chatbots and Conversational AI best practices, including intent recognition, entity extraction for events and locations, dialog state management and session orchestration to keep conversational context across multi step purchase interactions.
Architecturally the bot operated on Skype's Bot Platform and integrated with StubHub ticketing and commerce services to execute search queries and complete purchase actions through the conversational channel. Operational scope emphasized consumer facing customer engagement and commerce functions within Skype, embedding StubHub ticket search and transaction handling into a messaging environment.
Governance and rollout followed Skype partner onboarding and platform compliance processes, requiring coordination between product, engineering and platform teams to manage conversational UX, transaction flows and platform policy adherence. The public announcement framed the deployment as a way to streamline ticket discovery and purchase flows in a conversational channel, reflecting a production oriented conversational commerce experiment in 2016.
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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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2021 | 2021 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Signing | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Campaign Management | CRM |
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2009 | 2009 |
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Customer Analytics | CRM |
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2018 | 2018 |
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Customer Engagement, Customer Loyalty | CRM |
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2021 | 2021 |
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Customer Support | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2020 | 2020 |
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Data Management Platform | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2015 | 2015 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2024 | 2024 |
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Sales Analytics | CRM |
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2017 | 2017 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Tag Management | CRM |
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2020 | 2020 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2018 | 2018 |
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Application Performance Management | ITSM |
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2019 | 2019 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Treasury Management | TRM |
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2021 | 2021 |
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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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Database Management | IaaS |
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2013 | 2013 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Internet of Things
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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IoT Platform | Internet of Things |
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2018 | 2018 |
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IT Decision Makers and Key Stakeholders at StubHub
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by StubHub Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||