Welcome!

Agile Computing Authors: Liz McMillan, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui, Pat Romanski

News Feed Item

Signal Enables SurveyMonkey to Manage Vendor Evaluation Process That Achieves 33 Percent Cut in Customer Acquisition Cost

Cross-Channel Technology Leader Provides Leading SaaS Survey Platform With a Strategic Tool for Improved Marketing ROI

CHICAGO, IL -- (Marketwired) -- 07/08/14 -- Signal, the global leader in real-time, cross-channel technology, enabled leading online survey platform SurveyMonkey to test and compare the performance of two retargeting vendors, resulting in a 33 percent reduction in customer acquisition cost, Signal announced today.

Seeking to optimize its media spend, the web-based survey company used Signal's patented platform to conduct a controlled experiment, known as an A/B test, evaluating an incumbent vendor against the performance of a competitor to learn which media services company provided superior results.

"A/B testing allows marketers to make data-driven decisions that take the guesswork out of optimizing their investments," said Marc Kiven, Founder and Chief Revenue Officer at Signal. "But because vendor evaluations and other A/B tests are so technically complex to execute, marketers often find it difficult to justify the time and IT support involved."

Signal's Open Data Platform enables marketers to make their customer engagement data and marketing technologies work better together. A component of the platform, Signal Tag, allows non-technical users to configure bits of data-collection code, called "tags" or "web beacons," in seconds, breaking free of lengthy IT cycles.

"Signal's extensive network of digital marketing vendor integrations made it simple for SurveyMonkey to deploy retargeting providers for participation in the test," said Kelly Davis, Senior Vice President of Client Services at Signal. "The flexibility of Signal's platform made it quick and easy for SurveyMonkey to set up sophisticated data-collection rules that provided precise results, without the need to write code. The test resulted in robust data on customer conversions that showed which vendor produced the most cost-effective, retargeting campaign results."

"We hired Signal to enhance our website data collection but quickly realized that its platform provided us with a lot more than tag management," said Gallant Chen, Director of Online Marketing at SurveyMonkey. "Signal gave us an advanced tool for obtaining granular insights into customer behavior, helping us to reduce customer acquisition costs and strategically increase the ROI on our targeting campaigns."

To download a free copy of the case study, click here.

About Signal
Signal is the global leader in real-time, cross-channel marketing technology. The Signal Open Data Platform helps marketers collect data from any offline or online source, synchronize that data across all consumer touch points, and deliver it to any marketing or analytics endpoint -- all in real time. The platform is ecosystem-neutral and helps data and marketing technologies work better together driving increased engagement, loyalty and conversions.

Signal's technology runs on 35,000 digital properties in 158 countries. Our platform facilitates billions of requests monthly, supporting top brands that generate more than $1.5 trillion in commerce, including Allstate, Audi, Crate & Barrel, DeVry University, GAP, JetBlue Airways, Macy's, 1-800-Flowers, Starcom MediaVest Group, Starwood Hotels and Resorts, and many more. Visit www.signal.co to learn more and follow Signal on LinkedIn and Twitter.

Media Contact:
Hollis Guerra
Blast PR for Signal
805-403-0705
Email Contact

Carol Jouzaitis
Signal
312-342-7304
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...