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Next-gen marketing easily explained to my lovely boss

Next-gen marketing easily explained to my lovely boss

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mediarithmics Team
September 23, 2022

Next-gen marketing easily explained to my lovely boss

Marketing and advertising professionals must prepare to adopt new marketing disciplines in order to deploy new use cases in a rapidly evolving world. By transforming marketing and advertising, MarTech is aiming to accelerate far-reaching changes in the marketplace. Could a next-gen Customer Data Platform play a central role in this evolution?

‍What can marketing learn from MarTech?

One of the crucial motifs in MarTech is what we call next-gen technology. This is a set of innovations that are designed to imitate the capacities of human marketing experts. A combination of these modern technologies is the basis of MarTech.

For years, AI has been developed to duplicate human cognitive abilities. In the marketing sphere, it has been used to learn from disorganized customer data and uncover insights that may be advantageous for marketing experts. Big Data analytics enables them to individualize their advertising and marketing method to each customer; a process recognized as "segments of one" marketing.

Consider the following examples from the MarTech solution. Online advertisers can skip several actions if they deploy the brand-new product growth process. AI can also help disclose purchasing patterns helpful for retailers that suggest ideal items and materials to a collection of buyers based on their accounts. The search engines provide a crucial distinction for e-commerce players, as well as various other digital organizations such as Amazon, Netflix, and YouTube. They continually assess past purchase backgrounds to produce a dynamic segmentation and profiling of the consumers, as well as discover the surprise relationships between seemingly unconnected items in order to upsell and cross-sell.

Some businesses such as AB InDev, Chase or Lexus, use MarTech and AI (Artificial Intelligence) to create and develop advertising campaigns with minimal involvement of human resources. AB InDev, the company behind Budweiser and Corona, checks the performance of various advertisement placements and feeds the resulting insights to the innovation team who are then able to produce more efficient advertisements. Chase went with an AI engine rather than a human copywriter to create advertisement duplicates for its electronic banners. Lexus evaluated prize-winning campaigns for the past 15 years, especially in the luxury markets, in order to develop a tv advertisement for its new ES car. With a script entirely written by AI, the firm employed an Oscar-winning supervisor to direct the advert.

The execution of MarTech is not just restricted to back-office operations. Incorporated with NLP (Natural Processing Language), sensing units, as well as robotics, AI can assist marketers in executing customer-facing activities.

With sensors and IoT, stores can replicate the electronic experience in the brick-and-mortar room. Walgreens' electronic coolers are an example of this.

Some of these applied innovations may sound strange and even frightening for marketing professionals, but we are beginning to see exactly how budget-friendly and obtainable these technologies have become in recent years. Open-source artificial intelligence systems from Google and Microsoft are easily available for businesses. There are plenty of options for cloud-based information analytics, available on monthly registrations. Marketing professionals can likewise choose from a wide array of user-friendly chatbot-builder systems that are easily accessible for the less technologically-savvy among us.

However, MarTech remains tools-agnostic. Businesses can implement them with any type of available sustaining software or hardware. The trick is that those firms have to have online advertisers that recognize exactly how to design a strategy that uses the ideal modern technology for different advertising uses.

Despite the extensive conversation on innovation, it is important to note that humans should continue to be MarTech's main focus. The MarTech technology has been developed to help advertisers to create, connect, deliver, and boost value throughout the consumer journey. The purpose is to produce a brand-new customer experience (CX) that is engaging and frictionless. This is a motto of Gilles Chetelat, the CEO of mediarithmics. Business should therefore take advantage of a balanced synergy between human and computer system knowledge.

A well deployed and tested MarTech solution has the ability to discover previously unidentified patterns of consumer actions from heaps of data. In spite of its computational power, however, only human beings can recognize other humans. Human marketing professionals are necessary in order to filter and translate underlying objectives for consumer actions. This is due to the fact that human intelligence is highly contextual, yet blurry. No one understands just how seasoned online advertisers can both misunderstand situations in the same way that they can establish new wisdom. Engineers, equally, are yet to construct a machine that can really imitate a human-level link with consumers.

Since computer systems cannot always be taught certain things that humans do not know how to learn, the function of human marketing professionals is still essential for MarTech. The central conversation in MarTech, therefore, is focused on deciding where technology, advertising messages and individuals might fit in and create the most value across the customer journey.

How can MarTech boost marketing?

The surge of social media advertising, marketing and SEA (Search Engine Advertising), as well as the exponential development of online shopping, have actually enlightened marketing professionals to the benefits of digitalization. Advertising and marketing, in the digital context, is little more than migrating consumers to electronic channels or investing much more on electronic media. They can go much further, as explained in the five categories below.

1. Making more enlightened choices based on large data

The best side product of digitalization is data. In the digital context, every client touchpoint-transaction, call center inquiry, or email exchange is recorded. Moreover, consumers leave traces whenever they browse the Internet or post something on social media. Personal privacy concerns aside, these represent mountains of insights and data to extract. With such an abundant source of information, marketing professionals can now profile consumers at both granular and specific levels, enabling one-to-one advertising at scale.

2. Anticipating results of advertising strategies and methods

No financial investment in advertising is a sure thing. However, the concept of calculating the return on every advertising action makes marketing more accountable. With fabricated intelligence-powered analytics, it is now possible for online marketers to predict the result prior to introducing new items or releasing brand-new campaigns. The anticipation aspect has been designed to uncover patterns from previous marketing campaigns, and to understand what works. Furthermore, based on learning, it suggests an optimized approach for future projects. It enables online advertisers to stay ahead of the game, and protects brands from negative impacts.

3. Bringing the contextual digital experience to the physical world

The monitoring of Internet users enables digital online advertisers to supply highly contextual experiences, such as individualized landing pages, relevant ads, as well as tailor-made material. It provides digital-native companies a significant advantage over their brick-and-mortar counterparts. Today, the linked tools and sensors in the IoT (Internet of Things) empower companies to bring contextual touchpoints to the physical space, leveling the playing field while helping assure a smooth omnichannel experience. Sensors make it possible for marketers to identify what is coming to the stores, while facilitating customization.

4. Enhancing frontline online advertisers' capacity to provide value.

Rather than being drawn into the machine-versus-human discussion, marketing professionals can concentrate on constructing an enhanced symbiosis between themselves and modern electronic technologies. AI, in addition to NLP, can improve the performance of customer-facing operations by taking over lower-value tasks and encouraging frontline personnel to customize their approach. Chatbots can handle straightforward, high-volume discussions with an immediate action. AR (Augmented Reality) as well as virtual reality aid companies, provide appealing items with minimum human involvement. Thus, frontline marketing experts can focus on providing real human interaction at specific, strategic moments.

5. Accelerating advertising execution

Consumer preferences regularly change and evolve, putting stress on businesses to make money in a shorter window of opportunity. These start-ups rely greatly on innovation to execute quick market experiments and real-time validation.

Five components of next-gen marketing

In essence, innovation will enable advertising to be data-driven, predictive, contextual, optimized, and agile. Based on the ways advanced innovation adds value to advertising, Philip Kotler specifies the 5 essential elements of next-gen marketing. These center around 3 related applications: anticipating advertising and marketing, contextual advertising and marketing, as well as enhanced advertising. These applications are constructed on two organizational disciplines: data-driven advertising and agile marketing.

Discipline 1: Data-Driven Marketing

Data-driven marketing is the activity of collecting and analyzing Big Data from various internal and external sources, and developing an information ecological community to drive and maximize marketing choices. This is the very first paradigm of MarTech: each and every single choice needs to be made with sufficient data at hand.

Discipline 2: Agile Advertising

Agile advertising and marketing is making use of decentralized, cross-functional teams to conceive, layout, establish, and validate products, advertising and marketing projects swiftly. A business's ability to deal with the ever-changing market is the second discipline that businesses need to understand in order to ensure effective MarTech implementation.

Application 1: Predictive Advertising and marketing

Predictive marketing is the procedure of structure and using predictive analytics, occasionally with machine learning, to forecast the results of advertising and marketing tasks prior to launch. This first application permits companies to imagine how the marketplace will respond, and how they can proactively influence it.

Application 2: Contextual Marketing

Contextual marketing is the task of identifying and profiling, in addition to developing tailored communications with consumers by using sensing units and electronic interfaces in the physical room. It is the foundation that enables marketing experts to perform one-to-one advertising and marketing in real-time, depending on the customer context.

Application 3: Augmented Marketing

Augmented marketing is making use of modern digital technology to improve the performance of customer-facing online marketers with human-mimicking modern technologies such as chatbots and digital assistants. This third application ensures that online advertisers are able to integrate the rate and comfort of the electronic user's interface with the compassion of people-centric touchpoints.

Companies of tomorrow will develop an anticipative advertising strategy and marketing campaign that will anticipate what product a customer with a particular demographic will likely buy. For this model to work, the business needs to set up different sensors at the points of sale, which include a face recognition video camera affixed to a digital interface.

The customer can additionally utilize the digital user interface in a tailored manner. At the same time, Company X likewise supplies a frontline staff, augmented with electronic tools containing a predictive design, with the capability to assist the client when the self-service alternative is not satisfactory.


  • Has the use and implementation of new technology in your company gone beyond social media marketing and e-commerce?
  • Is your marketing set of solutions tools-agnostic?
  • Do you really enjoy the benefits brought by a next-gen Customer Data Platform?

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