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● California Polytechnic State University, an Oracle PeopleSoft ERP customer evaluated Oracle Cloud ERP

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● JLG Industries, an Oracle JD Edwards EnterpriseOne customer evaluated Oracle Cloud ERP

● Becker Industrie, a Microsoft Dynamics AX customer evaluated Microsoft Dynamics 365 F&O

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List of Linkedin Bizo Customers

Microsoft
Location
One Microsoft Way,
Redmond, 98052-6399, WA,
United States
Website
https://www.microsoft.com/
Phone
1 425-882-8080
Artw industry
Professional Services
Employee
221000
Revenue
$243.0B

Since 2010, our global team of researchers has been studying Linkedin Bizo 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 Linkedin Bizo for Marketing Automation 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 Linkedin Bizo for Marketing Automation include: ExxonMobil, a United States based Oil, Gas and Chemicals organisation with 62000 employees and revenues of $344.58 billion, Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.82 billion, Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.41 billion, Cigna, a United States based Insurance organisation with 71300 employees and revenues of $180.64 billion, Electricity of France, a France based Utilities organisation with 171862 employees and revenues of $151.00 billion and many others.

Contact us if you need a completed and verified list of companies using Linkedin Bizo, 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 Linkedin Bizo 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
Professional Services 50 $8M Australia Microsoft Linkedin Bizo Marketing Automation 2019 n/a
Professional Services 1600 $120M Australia Microsoft Linkedin Bizo Marketing Automation 2018 n/a
Communications 623 $42M Australia Microsoft Linkedin Bizo Marketing Automation 2019 n/a
Professional Services 120 $15M Australia Microsoft Linkedin Bizo Marketing Automation 2018 n/a
Professional Services 1301 $425M Australia Microsoft Linkedin Bizo Marketing Automation 2015 n/a
Education 30 $3M Australia Microsoft Linkedin Bizo Marketing Automation 2017 n/a
Professional Services 70 $8M Australia Microsoft Linkedin Bizo Marketing Automation 2019 n/a
Professional Services 40 $8M Australia Microsoft Linkedin Bizo Marketing Automation 2019 n/a
Professional Services 75 $12M Australia Microsoft Linkedin Bizo Marketing Automation 2017 n/a
Construction and Real Estate 85 $12M Australia Microsoft Linkedin Bizo Marketing Automation 2019 n/a
Showing 361 to 370 of 6348 entries

Buyer Intent: Companies Evaluating Linkedin Bizo

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Linkedin Bizo. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Linkedin Bizo for Marketing Automation include:

  1. Sprious, a United States based Professional Services organization with 29 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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