May 01, 2016 4:09 PM ET

Internet Software and Services

Company Overview of AgilOne Inc.

Company Overview

AgilOne Inc. offers a predictive marketing cloud technology that helps retailers deliver omni-channel experiences in order to increase customer loyalty and profitability. It offers AgilOne, a solution that empowers companies of all sizes to launch revenue-generating out of the box lifecycle marketing programs that increase conversions and customer lifetime value, such as predictive cart recovery, predictive email retargeting, repeat purchase program, cluster-based targeting, loyalty appreciation, and customer reactivation. The company was founded in 2005 and is based in Sunnyvale, California.

771 Vaqueros Avenue

Sunnyvale, CA 94085

United States

Founded in 2005





Key Executives for AgilOne Inc.

Founder and Chief Executive Officer
Vice President of Finance
Chief Product Officer
Chief Technology Officer
Vice President of Customer Success and Business Development
Compensation as of Fiscal Year 2015.

AgilOne Inc. Key Developments

Jonathan Adler Selects AgilOne to Boost Customer Engagement and Sales

AgilOne announced that home design retailer Jonathan Adler will use AgilOne's cloud platform to improve customer engagement by creating more personalized, data-driven marketing. The worldwide retailer--which operates a thriving e-commerce site, 26 physical stores and a wide-reaching wholesale business--has selected AgilOne's predictive marketing cloud to take years of previously collected but unorganized customer data and make it actionable.

AgilOne Enhances Predictive Marketing Cloud to Empower Brands to Act Quickly and Intelligently on Customer Data

AgilOne announced a major expansion of its predictive marketing cloud to help retailers use big customer data to better target buyers and increase sales. New features include AgilOne's Revenue Finder, which uses predictive analytics to uncover underserved customer segments, and Turnkey Actions, which automatically generate relevant campaigns to quickly turn these insights into new revenue streams. The company also introduced its groundbreaking likelihood to buy predictions for prospective buyers to go along with its likelihood to buy predictions for existing customers. Marketers can use this intelligence to decide how much of an incentive to give prospects who may have visited the site or abandoned a shopping cart in order to increase sales while minimizing discount expenses. Lastly, AgilOne enhanced its Data Quality Engine, which takes care of all the 'data wrangling' necessary to accurately classify customers within highly specific segments. Customers still crave the type of personal attention that used to be found at establishments like the neighborhood butcher shop, but with the speed and scale of business today, building these relationships on an individual level has become increasingly difficult. AgilOne's new Revenue Finder and Turnkey Actions enable marketers to break down large sets of customer data into comprehensive groups of people who display similar behaviors and prescribe how to deliver the best experience to each group and thereby increase their value. For example, the Revenue Finder automatically groups customers into precise segments, such as those that show a high risk of leaving or one-time buyers that need additional encouragement to purchase again. With matching Turnkey Actions, marketers can automatically launch campaigns from within AgilOne's predictive marketing cloud to target these customers with relevant offers or calls-to-action. For high-risk customers, marketers can immediately send a promotional offer to bring them back into the fold, or for one-time buyers, they can send a message highlighting products similar to their original purchases. This hypertargeting approach powered by AgilOne has been shown to increase click-through and purchase rates significantly. For example, Traeger Grills used AgilOne's hypertargeted customer campaigns to boost its email click-through rates from 1% to 4%. This also reduced unsubscribe rates because campaign messages were more likely to go to a relevant and interested customer. In the case of Traeger Grills, the unsubscribe rate dropped by 40% in just six weeks. By uncovering insights from customer data and suggesting appropriate actions for marketers, AgilOne's marketing cloud turns predictive analytics into prescriptive analytics, making it easy for companies to build personal relationships with their customers. Upgraded Predictive Analytics and Data Quality Engine Deliver Smarter Insights: AgilOne has also enhanced its predictive analytics capabilities by adding likelihood to buy predictions for prospects who have yet to make their first purchase from the company. The self-learning predictive engine uses consumer engagement information to determine the chances that prospective buyers will become customers. AgilOne already delivers likelihood to buy predictions for past buyers, but this new model now enables companies to target the most likely prospects with more aggressive offers in order to close the deal. To deliver maximum ease of use as well as accuracy in its predictive analytics, AgilOne has also upgraded its unmatched Data Quality Engine, which is integral to ensure companies build their intelligence from a solid foundation. AgilOne's Data Quality Engine is unique because it provides daily data integration, cleansing and deduplication of online and offline customer data. Even when customers use different email accounts or physical addresses, AgilOne's fuzzy matching algorithms can still link all actions to the right customer profile. Daily data cleansing and deduplication is a must for predictive customer analytics: without this, duplicate profiles and erroneous data can lead to highly inaccurate measures of your true audience.

Agilone LLC Announces Executive Appointments

Agilone LLC announced that it has hired two new executives, Ted Farrell, chief technology officer, and Dan Moore, vice president of customer success. Farrell and Moore will join AgilOne on its mission to arm everyday marketers with predictive analytics technology. Ted Farrell has more than 25 years of experience building and delivering software. Farrell joins AgilOne from Badgeville where he was the chief technology officer who was responsible for leading the development of the company's cloud-based gamification platform for customers like American Express, Oracle, Samsung and Philips Electronics. Dan Moore has more than 20 years of experience managing services organizations at both early stage companies and global consulting firms. He comes to AgilOne from RightScale where he led the transformation of the services organization to support both SMB customers and complex, enterprise-class customers.

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