Boston, 2116, MA,
United States
Drift Technographics
Drift Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Drift and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 550 Drift employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Drift has purchased the following applications: Greenhouse ATS for Applicant Tracking System in 2017, MadKudu for ML and Data Science Platforms in 2017, Drift AI 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 Drift is running and its propensity to invest more and deepen its relationship with Greenhouse , CheckR , MadKudu 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 Drift revenues, which have grown to $50.0 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 Drift 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.
Drift Tech Stack and Enterprise Applications
Drift HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2017 | 2017 |
In 2017, Drift implemented Greenhouse ATS as its Applicant Tracking System. Greenhouse ATS is used on Drift's website to present open roles and capture candidate applications through the public careers experience, establishing a centralized intake point for recruiting activity.
The implementation configured core Applicant Tracking System capabilities including job posting management, candidate tracking, interview orchestration, requisition workflows, structured interview scorecards, and offer management. Automation was applied to candidate status transitions and email communications to standardize screening and interview stage progression.
The deployment connected the public careers page to Greenhouse ATS so applications flow directly into the system for recruiter and hiring manager review. Operational coverage centers on Talent Acquisition and HR teams across Drift, with hiring managers and recruiting coordinators using the Greenhouse ATS to manage pipelines and schedule interviews.
Governance emphasized standardized hiring pipelines, defined interview stages, and consistent use of scorecards to support fair evaluation and repeatable workflows. The implementation reflects a cloud hosted Applicant Tracking System model, with configuration focused on recruiting process orchestration and candidate lifecycle management using Greenhouse ATS.
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BackGround Screening | HCM |
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2020 | 2020 |
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Drift AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| MadKudu | Legacy | MadKudu | ML and Data Science Platforms | AI Development | n/a | 2017 | 2017 |
In 2017 Drift implemented MadKudu, deploying MadKudu as an ML and Data Science Platforms solution to provide predictive lead scoring for its sales and marketing CRM motion in the United States. The engagement targeted prioritization of inbound leads to improve pipeline efficiency for Drift's commercial teams.
MadKudu's lead scoring functionality was configured to analyze inbound lead attributes and engagement signals, producing predictive scores and qualification bands used to drive automated prioritization and routing into CRM workflows. Configuration work focused on defining score thresholds, mapping model outputs to qualification stages, and instrumenting scoring into Drift's existing marketing to sales handoff processes.
The deployment integrated scored leads into Drift's sales and marketing systems to ensure prioritized leads surfaced to sales follow up across the United States, with governance centered on scoring threshold policy and iterative model tuning during rollout. According to the case study, after adopting MadKudu scoring Drift generated approximately 90% of their pipeline from approximately 25% of leads, illustrating the implementation outcome reported for this ML and Data Science Platforms deployment.
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Drift AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Drift | Legacy | Drift AI Chatbot | Chatbots and Conversational AI | AI-Powered Application | n/a | 2016 | 2016 |
In 2016, Drift deployed Drift AI Chatbot on its public website. The implementation uses the Chatbots and Conversational AI application to provide a persistent conversational entry point for customer engagement and inbound inquiry handling.
Drift configured Drift AI Chatbot with category-aligned capabilities including guided lead capture forms, intent classification, context aware responses, and handoff triggers to human agents. Configuration relied on configurable playbooks and templated conversation flows to standardize qualification and routing logic across visitor sessions. Session handling and multi turn dialogue management were tuned to preserve context across pages and follow up interactions.
Architecturally the chatbot is embedded in the website front end as a conversational layer operating alongside site content and analytics instrumentation. Operational ownership is centered in marketing and sales functions where the chatbot captures prospects, qualifies inquiries, and produces conversation transcripts for follow up by revenue teams.
Governance for Drift AI Chatbot emphasizes centralized conversation playbooks, an administrative console for content and response updates, and iterative tuning of conversation flows based on live traffic. The rollout scope on the website included formal workflows for bot to human handoff and standardized messaging across campaigns, consistent with Chatbots and Conversational AI operational practices.
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Chatbots and Conversational AI | AI-Powered Application |
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2019 | 2019 |
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Drift Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2018 | 2018 |
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Collaboration | Collaboration |
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2019 | 2019 |
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Drift 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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Drift CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Account Based Marketing | CRM |
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2019 | 2019 |
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Account Based Marketing, Sales Engagement | CRM |
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2019 | 2019 |
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Customer Data Platform | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2018 | 2018 |
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Data Management Platform | CRM |
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2018 | 2018 |
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Data Management Platform | CRM |
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2018 | 2018 |
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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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2018 | 2018 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation, Sales Automation | 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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Sales Engagement | CRM |
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2019 | 2019 |
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Sales Engagement | CRM |
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2019 | 2019 |
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Drift IT Asset Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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SaaS Spend Management | IT Asset Management |
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2020 | 2020 |
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Drift ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2017 | 2017 |
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Incident Management | ITSM |
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2022 | 2022 |
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IT Service Management | ITSM |
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2018 | 2018 |
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Drift 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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2020 | 2020 |
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Drift PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2016 | 2016 |
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Transactional Email | PaaS |
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2017 | 2017 |
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Transactional Email | PaaS |
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2021 | 2021 |
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Drift 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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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Cloud Storage | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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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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2019 | 2019 |
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Drift CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2018 | 2018 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Drift
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by Drift Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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