Etsy
Etsy Technographics
Etsy Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Etsy and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2790 Etsy employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Etsy has purchased the following applications: Workday Financial Management for ERP Financial in 2015, Lever by Employ for Applicant Tracking System in 2015, Comet Model Production Monitoring for AI Model Deployment and Monitoring in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Etsy is running and its propensity to invest more and deepen its relationship with Workday , Klarna , Employ 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 Etsy revenues, which have grown to $2.57 billion 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 Etsy 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.
Etsy Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workday | Oracle NetSuite ERP | Workday Financial Management | ERP Financial | ERP Financial Management | n/a | 2015 | 2016 |
In 2015, Etsy implemented Workday Financial Management, completing a move from Oracle NetSuite ERP to Workday's cloud financial suite. The implementation is recorded as an adoption of Workday Financial Management within the ERP Financial category, positioning finance as the primary business function in scope for consolidation of transactional accounting, general ledger, and financial reporting workflows.
Etsy’s adoption coincided with Workday 25, a release that expanded platform capabilities across reporting and analytics, and introduced new applications that broadened finance functionality such as Workday Inventory and expanded prepackaged dashboards. Workday Financial Management was positioned to deliver richer reporting artifacts including auditor, projects, and revenue dashboards, and the vendor announced roadmap elements for planning and professional services automation that extend the finance system footprint.
Architecturally, the deployment leveraged Workday’s cloud-native finance and HR foundation to unify real-time financial and people data, enabling integrated financial close, reporting, and planning workflows typical of ERP Financial systems. The implementation emphasized consolidated finance operations and the potential to integrate transactional data with workforce data for cross-functional visibility across finance, accounting, and managerial reporting.
Governance for the rollout aligned to Workday’s global configuration model, with the platform offering country-specific configurations and language support including the U.S. locale that aligns with Etsy’s United States operations. Workday publicly framed the customer additions in 2015 as part of a broader push to expand global financial capabilities and analytics depth for its ERP Financial customers, with Etsy listed among organizations selecting the platform during that expansion.
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Employ | Legacy | Lever by Employ | Applicant Tracking System | HCM | n/a | 2015 | 2015 |
In 2015, Etsy implemented Lever by Employ as its Applicant Tracking System. Lever by Employ is embedded on Etsy's public careers site to capture candidate applications and to provide a centralized recruiting intake point for the company.
The implementation leveraged core Applicant Tracking System capabilities including job posting, online application forms, candidate intake and resume parsing, configurable candidate pipeline stages, interview scheduling, and offer management. Lever by Employ was configured to support common recruiting workflows and to maintain structured candidate records for hiring teams.
Operationally the deployment is exposed on Etsy.com career pages, using Lever hosted application endpoints and source tagging to attribute applicants arriving from the Etsy website. The system is used by Talent Acquisition, HR, and hiring managers to manage requisitions and candidate review, and it consolidates applicant data into a single recruiting system of record.
Governance was organized around standardized pipeline stages and centralized candidate data, with access controls and workflow handoffs to align recruiting and hiring processes. The deployment emphasizes career site integration and recruiting workflow standardization as the primary operational controls for Etsy's hiring activity.
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Candidate Relationship Management | HCM |
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2018 | 2018 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Comet | Legacy | Comet Model Production Monitoring | AI Model Deployment and Monitoring | AI Development | n/a | 2019 | 2020 |
In 2019, Etsy implemented Comet Model Production Monitoring. The Comet Model Production Monitoring deployment, categorized as AI Model Deployment and Monitoring, was used at Etsy in the United States to centralize experiment tracking and to monitor model performance in production.
The implementation focused on experiment tracking and production monitoring capabilities, including run-level experiment metadata capture, production performance telemetry, and automated detection of model and data drift. The deployment included reproducibility-focused features such as model versioning and recorded training lineage to support repeatable model builds and investigation workflows.
Operational coverage centered on data science and machine learning engineering teams responsible for production models, with the platform serving as a centralized control plane for model observability and lifecycle artifacts. The implementation supported standardized model monitoring workflows across Etsy’s ML assets and integrated into existing model development and deployment practices within the organization.
Governance and process changes emphasized reproducible model delivery and proactive drift detection, enabling teams to surface production anomalies and to maintain audit information for experiments and production runs. The Comet Model Production Monitoring implementation helped teams detect data drift and improve model reproducibility, aligning model development and production monitoring practices under a consistent set of observability controls.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Intelligent Process Automation | AI-Powered Application |
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2022 | 2022 |
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Natural Language Processing | AI-Powered Application |
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2015 | 2015 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Data Warehouse | Analytics and BI |
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2017 | 2017 |
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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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2017 | 2017 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Shipping Management | eCommerce |
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2017 | 2017 |
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Shipping Management | eCommerce |
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2020 | 2020 |
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Shipping Management | eCommerce |
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2019 | 2019 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Supply Chain Management | SCM |
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2018 | 2018 |
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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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2019 | 2019 |
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CRM | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2016 | 2016 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Support | CRM |
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2018 | 2018 |
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Customer Support | CRM |
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2021 | 2021 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Partner Relationship Management | CRM |
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2018 | 2018 |
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Partner Relationship Management | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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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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2011 | 2011 |
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Application Performance Management | ITSM |
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2017 | 2017 |
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IT Service Management | ITSM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2017 | 2017 |
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Apps Development | PaaS |
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2022 | 2022 |
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Test Automation Platform | PaaS |
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2015 | 2015 |
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Transactional Email | PaaS |
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2018 | 2018 |
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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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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Cloud Storage | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2011 | 2011 |
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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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2021 | 2021 |
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Database Management | IaaS |
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2014 | 2014 |
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Database Management | IaaS |
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2017 | 2017 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Security (AppSec) | CyberSecurity |
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2021 | 2021 |
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Identity and Access Management (IAM) | CyberSecurity |
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2016 | 2016 |
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IT Decision Makers and Key Stakeholders at Etsy
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Etsy Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||
FAQ - APPS RUN THE WORLD Etsy Technographics
Etsy is a Retail organization based in United States,
with around 2790 employees and annual revenues of $2.57 billion.
Etsy operates a diverse technology stack with applications such as
Workday Financial Management, Lever by Employ and Comet Model Production Monitoring,
covering areas like ERP Financial, Applicant Tracking System and AI Model Deployment and Monitoring.
Etsy has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Workday, Employ and Comet.
Etsy recently adopted applications including
Incident AI Platform in 2022, Airtable in 2022 and Zendesk Support Ticketing System in 2021,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Etsy’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Etsy’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 Etsy technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.