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List of Optimizely Intelligence Cloud Customers

Optimizely
Location
119 5th Avenue, 7th Floor,
New York, 10003, NY,
United States
Website
https://www.optimizely.com/
Phone
1 603-594-0249
Artw industry
Professional Services
Employee
1500
Revenue
$400M

Since 2010, our global team of researchers has been studying Optimizely Intelligence Cloud 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 Optimizely Intelligence Cloud for Marketing Analytics 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 Optimizely Intelligence Cloud for Marketing Analytics include: Electricity of France, a France based Utilities organisation with 171862 employees and revenues of $151.00 billion, Statefarm, a United States based Insurance organisation with 67000 employees and revenues of $123.00 billion, AXA, a France based Banking and Financial Services organisation with 100041 employees and revenues of $105.46 billion, REWE Group, a Germany based Retail organisation with 390000 employees and revenues of $99.10 billion, KIA, a South Korea based Automotive organisation with 52000 employees and revenues of $78.12 billion and many others.

Contact us if you need a completed and verified list of companies using Optimizely Intelligence Cloud, 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 CRM software purchases.

The Optimizely Intelligence Cloud 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 CRM 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 Old Product New Product Category When SI
Communications 1586 $693M Germany Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2014 n/a
Non Profit 250 $5.2B United States Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2011 n/a
Automotive 500 $70M United States Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2017 n/a
Non Profit 350 $61M United States Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2014 n/a
Professional Services 3650 $650M United States Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2015 n/a
Media 2300 $480M United Kingdom Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2018 n/a
Retail 5500 $1.7B United States Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2015 n/a
Professional Services 998 $274M United States Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2018 n/a
Communications 36093 $22.9B Australia Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2014 n/a
Retail 285 $38M United States Optimizely Legacy Optimizely Intelligence Cloud Marketing Analytics 2014 n/a
Showing 51 to 60 of 7178 entries

Buyer Intent: Companies Evaluating Optimizely Intelligence Cloud

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

  1. Hg Capital US, a United States based Banking and Financial Services organization with 280 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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