List of Productiv SaaS Intelligence Customers
Productiv
658 High St,
Palo Alto, 94301, CA,
United States
Palo Alto, 94301, CA,
United States
1 650-800-7542
Professional Services
160
$20M
Since 2010, our global team of researchers has been studying Productiv SaaS Intelligence 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 Productiv SaaS Intelligence for IT Asset Management (ITAM), SaaS Spend Management 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 Productiv SaaS Intelligence for IT Asset Management (ITAM), SaaS Spend Management include: Uber, a United States based Transportation organisation with 31100 employees and revenues of $43.98 billion, Zoom Communications, a United States based Professional Services organisation with 7412 employees and revenues of $4.67 billion, databricks, a United States based Professional Services organisation with 5500 employees and revenues of $1.60 billion, United Talent Agency, a United States based Professional Services organisation with 1400 employees and revenues of $325.0 million and many others.
Contact us if you need a completed and verified list of companies using Productiv SaaS Intelligence, 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 Productiv SaaS Intelligence 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 | Insight Source |
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databricks | Professional Services | 5500 | $1.6B | United States | Productiv | Productiv SaaS Intelligence | IT Asset Management (ITAM),SaaS Spend Management | 2020 | n/a | In 2020, Databricks implemented Productiv SaaS Intelligence to gain enterprise visibility into its SaaS portfolio. The deployment addressed rapid headcount growth and an existing pattern of decentralized app procurement, and it leveraged Productiv SaaS Intelligence within the IT Asset Management (ITAM),SaaS Spend Management category to centralize inventory, usage telemetry, and license controls. Productiv SaaS Intelligence was configured to collect application usage data, track feature adoption, and manage license lifecycles. Functional capabilities implemented included usage analytics, license provisioning and automated de provisioning, onboarding adoption tracking across Day 1, Day 30 and Day 90, and forecasting support for vendor conversations. The implementation emphasized matching licenses to actual usage and enabling IT to automate routine license changes when employees join or leave. The deployment made use of Productiv’s extensive library of connectors and integrations to aggregate telemetry across the company’s SaaS estate, consolidating data feeds for IT and lines of business. Operational coverage included IT and cross functional business teams across Databricks’ United States operations, with the platform serving as a shared data source for application adoption and spend discussions. Governance changed from informal procurement to a structured cross functional executive team that managed the SaaS portfolio and used Productiv data to fuel decision making. Process changes included formal review cycles for application adoption, alignment meetings prompted by adoption anomalies, and vendor negotiation processes informed by usage and forecasted headcount trends. Explicit results reported from the implementation were managed SaaS sprawl, improved employee experience through more informed onboarding and feature access, and increased collaboration between IT and lines of business. Productiv SaaS Intelligence became a business facing tool at Databricks, surfacing user tax and ROI signals to support cross functional governance. | |
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Uber | Transportation | 31100 | $44.0B | United States | Productiv | Productiv SaaS Intelligence | IT Asset Management (ITAM),SaaS Spend Management | 2018 | n/a | In 2018, Uber deployed Productiv SaaS Intelligence to address IT Asset Management (ITAM),SaaS Spend Management across its global organization. The implementation targeted a sprawling SaaS estate supporting over 35,000 employees, more than 1,000 SaaS applications, and an onboarding cadence exceeding 1,000 new hires per month, positioning Productiv as a system for IT and finance to govern SaaS portfolio and spend. Productiv SaaS Intelligence was configured to provide feature usage analytics, portfolio-level visibility, and sandboxed evaluation workflows. The deployment ingested more than one million application logins to provide a holistic view of application engagement, and the team used feature-level telemetry to evaluate business value and adoption patterns. Productiv enabled configuration of classification rules, including a policy that tools used by more than three departments are escalated to corporate tool status, and it supported staged testing with guardrails to validate KPIs before broader rollout. Operationally the implementation centralized SaaS discovery and monitoring so IT could surface issues such as multiple departmental instances of the same application, for example different implementations of Salesforce. The Productiv platform became the primary data source for conversations with business units, finance, and vendors, enabling procurement-oriented discussions tied to feature level consumption rather than seat counts alone. This alignment connected application usage signals directly to contract review and license sizing workflows. Governance changes accompanied the technical rollout, with IT establishing a sandbox approval process to shorten evaluation cycles and a classification workflow that promoted cross-departmental visibility. The platform put structure around app onboarding, evaluation, and promotion to corporate tool status, enabling IT to act as a strategic partner that recommends and vets technology based on measured usage and business KPIs. Uber reported improved SaaS management processes, better cost and license management, a more agile and dynamic application portfolio, and increased business value as outcomes of the Productiv deployment. Productiv SaaS Intelligence consolidated visibility across a complex environment, supporting tighter governance and more impactful, usage-driven vendor and procurement discussions. | |
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United Talent Agency | Professional Services | 1400 | $325M | United States | Productiv | Productiv SaaS Intelligence | IT Asset Management (ITAM),SaaS Spend Management | 2020 | n/a | In 2020, United Talent Agency implemented Productiv SaaS Intelligence, an IT Asset Management (ITAM),SaaS Spend Management solution to centralize and automate application usage visibility for its technology adoption team. United Talent Agency is a global entertainment company with more than 1,400 employees, and the deployment focused on reducing manual data collection and enabling feature level adoption analysis for operators and trainers. Productiv SaaS Intelligence was configured to provide automated tracking of usage and provisioning data, out-of-the-box visualizations for trend analysis, and granular user level engagement metrics. The implementation emphasized feature level telemetry and annotation workflows so the technology adoption team could tag training events on usage charts and monitor subsequent changes in adoption for specific features and applications. Operational coverage included monitoring core collaboration and content platforms such as Zoom and Box, and supporting pilots like Zoom Phone with weekly usage monitoring. The platform enabled the team to identify high adopters and heavy feature users as candidates for targeted training, and to visualize in-app collaboration activity such as externally shared Box files to assess security posture and client collaboration. Governance and workflow changes centered on shifting from spreadsheet based reporting to an annotation driven, real time review process managed by the technology adoption team. Reported outcomes from the implementation include a 20% reduction in time spent on data gathering and analysis, a 113% increase in Zoom screen sharing within 30 days, a 59% increase in Box user engagement, and a 422% rise in Box files shared externally, which the team used to validate training efficacy and maintain confidence in content security. | |
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Professional Services | 7412 | $4.7B | United States | Productiv | Productiv SaaS Intelligence | IT Asset Management (ITAM),SaaS Spend Management | 2019 | n/a |
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Buyer Intent: Companies Evaluating Productiv SaaS Intelligence
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Productiv SaaS Intelligence Coverage
Productiv SaaS Intelligence is a IT Asset Management (ITAM), SaaS Spend Management solution from Productiv.
Companies worldwide use Productiv SaaS Intelligence, from small firms to large enterprises across 21+ industries.
Organizations such as Uber, Zoom Communications, databricks and United Talent Agency are recorded users of
Productiv SaaS Intelligence for IT Asset Management (ITAM), SaaS Spend Management.
Companies using Productiv SaaS Intelligence are most concentrated in Transportation and Professional Services, with adoption spanning over 21 industries.
Companies using Productiv SaaS Intelligence are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Productiv SaaS Intelligence across Americas, EMEA, and APAC.
Companies using Productiv SaaS Intelligence range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 75%, and global enterprises with 10,000+ employees - 25%.
Customers of Productiv SaaS Intelligence include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Productiv SaaS Intelligence customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of IT Asset Management (ITAM), SaaS Spend Management.