Welcome!

Mobile IoT Authors: Liz McMillan, Zakia Bouachraoui, Elizabeth White, Yeshim Deniz, Dana Gardner

Article

The Advantages of Using a Marketing Cloud

Benefits and Efficiencies Marketing Clouds provide

As Cloud computing continues to grow and expand, industries like marketing are learning how to take advantage of all the benefits and efficiencies it can provide. These tools and technologies can change the approach marketers take when working to engage their audience and nurture sales leads.

Marketers are looking to the Cloud for a variety of reasons. When working in the Cloud, marketers can have confidence their data is secure. Additionally, there is no need to worry about losing data to a server failure, as Cloud service providers have well-planned backup and redundancy systems. Another big plus to using a marketing Cloud is its cost-efficiency. Unlike all that is involved with supervision of server room infrastructure for management and deployment of marketing materials, utilizing a Cloud-based marketing system is far less costly. The Cloud vendor takes care of all the hardware management, security patches, and more.

The biggest advantage to using a Marketing Cloud system is what it can do. As marketing opportunities continue to evolve, it is quite challenging to stay up to date on emerging technologies and build effective campaigns. There are a variety of marketing opportunities today – social, mobile, multimedia, web, email – it can be difficult to build an effective message, deploy it, manage analytics and leads, refine as needed, and redeploy. It can prove challenging to manage time effectively. This is where a Cloud system can make a huge difference. Cloud systems provide the flexibility marketers need today to create completely unique experiences that will get the attention of contacts so they can turn into customers. In the digital realm, consumers expect personalized content across a variety of channels that work effectively on multiple platforms. This is the only way to engage and retain current customers as well as find new customers. It is the job of marketers to deliver the best possible digital experience to consumers and the way to accomplish that is by reviewing analytics of previous campaigns in order to determine what provided the best ROI. That is where the marketing Cloud soars.

A system like Marketing Cloud by Salesforce

allows marketers to create and manage programs across multiple channels, including email, mobile, social, and the Web. By using a Cloud-based marketing system, the analytics for all these different programs are centrally located so it is easier to see what worked well and what didn’t so the next campaign can be improved prior to deployment. Understanding these insights on a global scale will continue to improve campaign performance.

For example, according to a study released in 2013 by Econsultancy and Adobe, content marketing and conversion rate optimization are top priorities for client-side marketers. Other important topics included social media engagement, targeting and personalization, content optimization, and mobile optimization, to name a few. This is proof that the job of the marketer is growing increasingly complex. Having all campaigns centrally located in the Cloud helps to bring a sense of order and consistency to the marketing professional. By having a single dashboard to review analytics and make sure each campaign includes with a consistent message, chances are customer engagement will have a better opportunity at remaining high, while keeping everything organized.

What is most important to any professional, regardless of industry, is defining success and then achieving it. For marketers, success can mean engaged contacts, improved brand loyalty, more clicks, lower bounce rate – the list could seemingly go on forever. By utilizing a Marketing Cloud Service, that definition of success, and how to track it, can be more attainable than in the past.

More Stories By Ava Cambellini

Ava Cambellini is a freelance web content writer who combines her passion for writing and technology to share the latest industry news and insights on products. Ava’s portfolio includes writing about sales, small businesses, tech/internet, and social marketing.

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...