May 21, 2018 9:33 PM ET


Company Overview of Nanigans, Inc.

Company Overview

Nanigans, Inc. develops Software-as-a-Service (SaaS) based digital and mobile advertising automation software solutions. The company’s software is used to automate customer acquisition and remarketing campaigns with cross-channel programmatic media buying, predictive revenue optimization, and real-time business intelligence tools; enable users to gain in-house control and remove data silos through an interface that unites advertisement creation, optimization, and analytics for iterative and data-driven advertisement management; and allows customers to manage, measure, and optimize their online advertising across various channels. It also offers Incrementality, a SaaS advertising platform for...

60 State Street

12th Floor

Suite 1225

Boston, MA 02109

United States



Key Executives for Nanigans, Inc.

Co-Founder, Chief Executive Officer, President and Director
Co-Founder and Chief Technology Officer
Chief Strategy Officer
Managing Director
Senior Vice President of Engineering
Compensation as of Fiscal Year 2017.

Nanigans, Inc. Key Developments

Nanigans, Inc. Presents at The Retail eCommerce Conference, Mar-06-2018 through Mar-08-2018

Nanigans, Inc. Presents at The Retail eCommerce Conference, Mar-06-2018 through Mar-08-2018. Venue: Sheraton Towers, Singapore, Singapore. Presentation Date & Speakers: Mar-06-2018, Zaira Panesh, VP of Sales and Marketing.

Nanigans Declares Performance Advertising Broken, Introduces Incrementality Optimization

Nanigans announced industry-first incrementality functionality. For the first time ever, marketers can now measure and optimize digital ad spend based on incremental revenue -- the ‘gold standard’ of performance metrics. Nanigans Incrementality is available now as part of its cross-channel Software-as-a-Service (SaaS) advertising platform. Nanigans Incrementality provides marketers a complete software solution for measuring and optimizing cross-channel digital ad spend based on incremental revenue. Using machine learning, it bids to reach consumers based on predicted incrementality, thereby generating higher net-new revenue for a given amount of media spend. The performance advertising status quo uses backward-looking attribution models which confuse correlation with causation. Because ads receive credit for customers previously reached and already planning to buy, ad spend is optimized for this result.

Nanigans, Inc. Presents at ETail East 2017, Aug-15-2017 01:30 PM

Nanigans, Inc. Presents at ETail East 2017, Aug-15-2017 01:30 PM. Venue: The Sheraton, Boston, Massachusetts, United States. Speakers: Erik Mansur, Head of Product Development.

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