- Artificial Intelligence
- Machine learning
- Artificial Intelligence
- Machine learning
While marketers choose to differentiate the terminology, and each technique applies various technology tools, it’s the immense value in AdTech and MarTech approaches that grabs our attention. Let’s find out how AdTech and MarTech comes together to help marketing specialists increase market share and open up ample opportunities.
To overlap but not be used interchangeably, is the first rule when considering the relationship between AdTech and MarTech. However, each has an individual significance that cannot be underestimated. These software programs and tools not only assist marketers and advertisers but can also take on parts of their job, which often consists of the most tedious, complicated or time-consuming tasks. For instance, Gartner’s latest Hype Cycle for Digital Marketing and Advertising reflects how advertisers and marketers are adopting analytics tech for their activities. Moreover, thanks to automation and a programmatic approach, AdTech and MarTech software can now run, schedule, post, advertise, optimize, research or even write in place of marketing or advertising specialists.
As with any emerging field, there’s no set way to define these buzzwords. However, we’ll attempt to sort things out by looking at the AdTech definition and the MarTech definition separately.
Advertising technology – or AdTech – unites the tools and software used in digital advertising. The goal is to deliver better ads to more audiences and to provide marketers with a technologically advanced ability to analyze digital efforts.
Marketing technology – or MarTech sounds a bit more voluminous and covers tactics, techniques and tools that are used to follow the marketing strategy effectively. MarTech encompasses innovation-enabled efforts to manage the digital content creation, user workflows and customer data.
Understanding each term is always important but doesn’t clearly express the difference between AdTech and MarTech. Drawing analogies can help, so let’s look at it this way: MarTech is like fishing with a pole and AdTech is more like fishing with a net. MarTech strives to establish relationships with leads and clients through personalization techniques at different stages of marketing campaigns. AdTech campaigns should first generate traffic, then sort it out after. Since we’ve already touched on the goals and audience of both techniques, we will use these categories to further discuss the similarities and distinctions of MarTech vs. AdTech.
The goal is to catch a large audience into a technological net, which is usually unknown to brand owners or marketing specialists. Advertisers, in this case, apply technology to invoke a specific behavior to get the expected KPIs. Since the target audience is unknown, only specifying demographic categories like age or gender, AdTech campaigns are based on third-party data like search queries, time of a session, consumer’s gear, etc.
Marketing strategy, fortified by advanced tech developments, is aimed at building customer relationships with the brand. While AdTech is praised for prospecting the unknown and brand building, you need to act quite contrary in customer relations – use MarTech to target people you already know. Technological efforts are focused on a specific category of people who have already demonstrated interest in the product or service. Third-party data won’t work in this case. Marketers should go for a personalized approach based on data like location, email address, phone number, history of purchases, etc.
Under the umbrella of MarTech, you’ll find the following technologies and channels:
Advertising technologies tap more into paid media:
In the advertising business, the payment model is built in such a way that every party involved gets their share. Advertisers, publishers and ad platforms divide fees for AdTech activities. AdTech solutions usually charge a fixed price or a commission in addition to the CPM, with some also charging a monthly fee. The widely preferred billing models are as follows:
Payment for marketing technology usually implies a yearly or monthly fee. On top of that, tech companies offer their MarTech solutions based on SaaS revenue models, which are more or less predictable and well-known to modern businesses.
If the marketers had luck fishing, they would aim to establish loyal relationships with consumers. On the one hand, those relations are valued by the customers for their personal touch and, on the other hand, they are praised by the brands for the customer loyalty supported by revenue increase and precious references. At the same time, leading a charge in marketing requires more than generic and faceless digital channels.
What if your customer base lacks the information needed for personalized marketing campaigns? What about brands that don’t have the necessary resources to maintain savvy marketing teams or subscribe to fancy MarTech products? These scenarios prove that in the AdTech vs. Martech battle, advertising technologies have their specific significance and add value to the brands. AdTech is a well-proven approach to massive prospecting, building a client base, generating traffic and building brands.
In this article, through scrutiny and analysis, we’ve formed at least two conclusions. First, AdTech and MarTech differ mainly at the conceptual level. They play different roles within marketing and sales domains, the same as advertising and marketing differ in their goals and methods. The second conclusion, in contrast, proves treating MarTech vs. AdTech as individuals is an irrational approach. Both are two sides of the same coin and are needed to make the most effective team. So, the focus is not to split the initiatives using advertising and marketing technologies, but rather joint efforts to help brands better lead the charge. Good luck and march on!