Given all the players, platforms and opportunities associated with digital marketing, it can seem overwhelming. Don't let that stop you! This course provides a clear overview of the digital marketing world. Discover how players such as ad networks, demand-side platforms and data management platforms interact with advertisers, agencies and publishers. Then learn how to use time-proven frameworks to assess your customers' needs and identify your primary marketing objectives. Once you've put that all together, you'll learn how to evaluate the performance of digital marketing campaigns.

Using paid media, such as buying ad space on well-known websites, may be the fastest way to promote a product or service on digital platforms. In addition to display ads, paid media includes initiatives like search engine marketing, email marketing, video marketing, social media ads, and mobile ads. 

This course provides a tour of opportunities and strategies associated with these various paid media channels, and guides you in drafting a paid media marketing plan that addresses your own marketing objectives.  

It is recommended to only take this course if you have completed Understanding the Digital Marketing Landscape and the Customer Funnel or have equivalent experience.

Marketing within your own digital properties—such as your organization's website, blog or social media pages—is an effective way to build deeper relationships with existing customers and attract the attention of new ones. 

This course covers the unique opportunities of “owned media” and how those differ from “paid media”. You will learn more about  content marketing, search engine optimization, social media “fan pages”, mobile apps, and virtual reality apps and assess the relevancy of owned media initiatives for your own marketing objectives. By the end of this course, you will have a plan outlining a strategy for your own potential use of these channels.

Note: This course assumes that you have completed LSM515, or alternatively, are familiar with “customer funnel” and “customer journey” marketing models.

Properly utilizing digital marketing allows you to promote your products and services while building customer relationships through “paid media” and “owned media” initiatives. So how do you put them together to create a comprehensive, effective marketing plan?  

This course will help you evaluate and combine your ideas to create a single, encompassing marketing plan.  This plan will include the priorities, resourcing and performance metrics appropriate for your organization. Once complete, you will be able to immediately put this plan in place to drive results. 

Note: This course assumes that you have completed the previous courses in this series, or alternatively, are familiar with the primary paid and owned digital media channels and are acquainted with “customer funnel” and “customer journey” marketing models.

These courses are required to be completed prior to starting this course:

  • Understanding the Digital Marketing Landscape and the Customer Funnel
  • Assessing Opportunities in Paid Digital Media
  • Assessing Opportunities in Owned Digital Media

In order to be successful with your social media marketing, you must first understand how and why to structure a social media strategy to guide campaign execution.

In this course, you will explore social media marketing platforms, publishers, tools, agencies, and the foundational elements of running a successful social media campaign. You will also examine what social media marketing is and how it is part of a brand-driven integrated marketing communications strategy. As the course progresses, you will evaluate the main social platforms used for digital marketing and practice aligning these platforms with your marketing goals and campaign strategy. You will also examine how marketers incorporate effective social media content generated by the brand, influencers, or users. Lastly, you will assess the role of social media agencies to help you decide if and when to outsource your campaigns.

Social media is best known by its platforms, especially the ones we use every day like Facebook, Instagram, and Twitter. But social platforms are not all alike, nor are they used by the same people and for the same purposes. Marketers need to know which platforms are appropriate to serve specific business goals and objectives. In this course, you will learn how to create a platform strategy by conducting an audience analysis to identify and describe the brand target markets. You will then perform a competitive audit to clarify the brand's social media presences relative to the competitive set and determine the social media marketing goals for the brand by applying the social media marketing funnel. Lastly, you will select the right social media platforms to deliver on specific marketing objectives across the social media marketing funnel.

Effective marketing communications inform and inspire consumers. It's messaging that creates product awareness and knowledge, and encourages positive brand attitudes and action. Traditional marketing, especially advertising, uses a “tell and sell” promotional approach that's unidirectional in presentation – from brand to buyer – and designed to persuade; it's hard marketing. Effective social media marketing is different. It's bidirectional conversation – from brand to buyer and buyer to brand – about the brand experience and designed to engage. This is soft marketing, the kind that target audiences seek as opposed to avoid. The key to social media marketing is connecting the customer with the brand through content that's informative, interesting, or entertaining; ideally, a combination of all three.

In this course, you will conduct a brand audit to identify the brand's pillars, tone, imagery, and personality. You will use these to create a clear brand voice for social media. You will then develop a content marketing social media strategy centered around a big idea and produce creative content that meets the business objectives of the organization as well as the needs and wants of the customer. Lastly, you will identify opportunities for user-generated content (UGC) that motivates the brand community and create a detailed content-posting cadence designed to meet the specific marketing goals.

Influencers are social media's celebrity spokespersons. Their followers provide a core audience of avid social media users, while the influencers themselves, through the endorsement of and engagement with brands, provide authenticity and trustworthiness. Teaming up and collaborating with the right influencers can help a company reach and expand target audiences, improve brand engagement, and inspire conversions. However, not all influencers are right for all brands; knowing when and how to use social influencers is an important element of social media strategy.

In this course, you will analyze the types and roles of social media influencers and identify specific influencers that will help drive your marketing efforts. You will apply the consumer purchasing funnel to devise strategies aimed at connecting the right influencer at the right time with the right customers. Additionally, you will evaluate the ethical and regulatory aspects of working with influencers, and examine how to measure influencer campaign success across the funnel. Lastly, you will craft an influencer program to achieve social media campaign objectives by integrating influencers into the content marketing strategy.

Understanding what past, present, and potential customers are saying, hearing, and seeing about your brand is an important part of brand management and social media presence. Monitoring brand mentions and conversations on social platforms can seem like a daunting, even impossible task. Fortunately, there are tools and solutions providers who can facilitate social listening and reputation management. What's important, then, is your understanding of why and how to manage social discourse about the brand to maintain and enhance your brand's credibility and overall reputation.

In this course, you will build a strategic, proactive social listening system that amplifies the efforts of social media marketing and creates close relationships between the brand and members of the brand community. You will also develop a systematic organizational approach to community management that is consistent with the brand and leverages best practices for different social media platforms.

What makes a social media marketing campaign successful? Is it growth in followers? More engagement on social channels? Greater positive sentiment about the brand? What about increases in sales leads or in sales revenue? Social media success might be reflected in all, some, or just one of these outcomes. Ultimately, however, success is a function of how well the campaign performed in meeting its marketing objectives. Measuring this performance used to be elusive for social media, but as the practice has evolved, so has the means to determine what worked and what did not.

In this course, you will identify the right metrics for measuring and benchmarking social media success across the marketing funnel. From measures of impressions to engagement, to conversion, and to advocacy, you'll examine how brands and agencies link campaign objectives — activity — and outcomes to assess, test, and optimize campaign results. Additionally, you'll explore how existing and emerging performance-reporting tools and dashboards help social media managers control dynamic campaigns to best ensure social media success.

To create a more customer-centric organization -- and improve sales, market share, and margins -- you need to know what your customers want. In this course, you'll use the statistical method of conjoint analysis to uncover the product attributes most influential to your customers. By simulating the market, you'll run relevant scenarios to answer questions such as: What would happen if we lowered our price, or offered quality improvements? Which customers should we go after? And, if we give our customers more of one attribute, can we give them less of another?

In this course, you'll use the statistical method of cluster analysis to meaningfully segment and target your market based on customer needs and preferences. Through interactive, applied activities, you'll analyze how customers naturally segment themselves within your market -- and how to predict and target the most profitable segments for your business. Customer data analyzed are similar to what is typically commissioned from market research firms.

To improve sales and market share, knowing what consumers want isn't enough. You also need to know what they believe your product or service, and your competitors', provides. In this course, you'll create and use perceptual maps to identify which dimensions consumers use to differentiate among products, and how they perceive your products relative to competitors'. These maps are valuable for identifying opportunities to introduce and position new products, repositioning existing products, and identifying your true competitors.

Successful customer relationship management encompasses thousands of transactions and impressions, over many years. But which customers are most worth your time and resources? How do firms determine how long they need to keep customers before they become profitable? Analyzing data (such as Big Data) allows marketers to make smarter predictions using the Customer Lifetime Value (CLV) model, which scores current and potential customers based on characteristics such as churn rate, discount rate, retention cost and forecasts of remaining customer lifetime. In this course, you'll use the CLV model to segment and target customers based on their potential long-term value, and build corresponding retention and divestment strategies.

Segmentation and targeting is the tip of the iceberg for implementing a successful marketing strategy. Markets can be sliced and diced in infinite ways; the goal is to focus your marketing activities on customers you identify as most likely to respond and buy. In this course, you'll use statistical market response modeling to develop the right marketing mix: Determine when -- and where -- to spend money on advertising and trade promotions, and how to better forecast demand for your product or service among different customers.

Digital advertising campaigns are an increasingly important element of most brands' marketing mix and are designed to achieve specific goals: increase brand awareness, drive traffic to the advertiser's website, and achieve consumer conversions. And although digital advertising generates a huge amount of data, not knowing how to interpret it could result in inefficient spending and missed opportunities.

This course introduces the use of analytics and data to measure the extent to which the goals of digital campaigns are being achieved, and thereby provides a roadmap for you to make more informed spending decisions. Through the application of various analytical tools, such as effectiveness and efficiency metrics, attribution modeling, and the design of randomized controlled trials, you—as a buyer or seller of digital advertising—will be more successful at monetizing digital assets.

You explore this content through a mix of input from industry experts, a hands-on course project, and the presentation of best practices by Cornell University Professor Sachin Gupta. Your fellow students and your instructor will also help broaden your understanding of digital advertising analytics and its impact on your advertising strategy.

In this course, you will explore your organization’s current data privacy approach and assess how vulnerable your customers’ personal identification data is to data breaches. First, you will explore various categories of data breaches, both intentional and unintentional. You will then determine the privacy risk for your customer data by classifying each data element’s identifiability and sensitivity. Next, you will explore the Organization Data Privacy Journey model and assess where your firm is in that journey. By the end of this course, you will have drawn the connection between data privacy and risk through the exploration of customer relationship management and digital advertising use cases.

Organizations have been working for over ten years on digital transformation, but how exactly can this be successfully achieved? Implementing artificial intelligence, machine learning, and marketing automation requires heavy investment in data infrastructure as well as creation of the culture and know-how that empowers marketers to successfully implement data-driven decision making.

In this course, you will navigate this complex journey. As you progress through the course, you will perform a digital transformation assessment of your organization's current marketing activities. You will explore some of the successes marketers have accomplished in leading organizations and use these insights to design specific strategies to take your organization's digital transformation to the next level, in terms of both the data and the people involved. You will gain a working knowledge of artificial intelligence and machine learning from a marketing perspective and use your new skills to determine optimal ways to supercharge your marketing activities. In addition, you will identify some of the threats to digitization and determine how your organization can plan to mitigate these threats as well as strategize to keep up with rapidly changing data and technologies.

How do you create an ideal marketing machine that can drive acquisition and retention of your customers? Performance marketing can empower your organization to make savvy marketing decisions in an optimal way. Layering machine learning and artificial intelligence on top of that will supercharge this process and take your marketing strategy to the next level.

In this course, you will explore key aspects of performance marketing to enable you to plan effective performance marketing campaigns that will lead your organization to success. You will use your new skills to design a performance marketing strategy. You will analyze your customer's journey and determine what parts of the marketing process can be supercharged by integrating machine learning and AI. In addition, you will seek ways to responsibly manage your customer's data and privacy in order to gain and maintain their trust in your organization.

The abundance of data available to marketing professionals has pushed the definition of what it means to have a successful marketing strategy. Success can now be measured by the degree to which customers are not only brought into the funnel, but also engaged and retained without active intervention. In other words, your marketing strategy can now be adjusted so that your product sells itself. This course focuses on how to automate the design and processes of your marketing machine so it can pull customers organically. You will start by identifying which products can and would benefit from a growth marketing strategy, then learn how you can calibrate product, price, promotion, and place to create a self-sustaining chain reaction that enables your product to sell itself. You will then explore the three stages of AI — supervised learning, unsupervised learning, and reinforcement learning — and how you can leverage them in your growth marketing strategy. Ultimately, you will walk away with a clear view of what successful growth marketing implementation can look like in your own organization.
In this course, you will determine the best defensive strategy for data usage under privacy constraints. You will explore the relationship between transparency and control by conducting an audit of your organization’s privacy policy. You will evaluate high-level protection approaches to masking customer data and examine data from a customer acquisition campaign to assess accuracy of the metrics. Finally, you will measure profitability loss from defensive data protection measures.

In this course, you will create the best data protection solution to optimize marketing insights for your organization. There are privacy issues and risks associated with customer data as well as various tactics to reduce the identifiability of individuals, while also maximizing revenue from that customer data. By exploring graphical techniques, you will choose the point at which you can best maximize profitability and customer privacy. This course will guide you through a four-step process that will transform your data. In addition to existing best practices, this course explores a cutting-edge technique that allows you to use synthetic data to maximize a firm's revenue.

Defensive Data Strategies is required to be completed prior to starting this course.

 

Unstructured data is more difficult to protect than data that is structured. In this course, you will examine new and emerging data privacy issues and solutions surrounding unstructured data. This data includes textual data, time series data, and spatial-temporal data (e.g., mapping and location apps). You will also explore Internet of Things (IoT) data, how it can add value to your organization, and the accompanying privacy issues associated with that data. While striving to maximize revenue for your organization and simultaneously respect the privacy of your customers, you will explore the privacy challenges associated with geospatial data and ways to mask your customers’ identities. In the final phases of this course, you will consider different strategies for achieving differential privacy to both satisfy your organizational business goals and protect your customers’ privacy.

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