Let's talk about what we'll learn in Section 5.

In this lesson, we'll cover the ecosystem vendors & history for location data and infrastructure.

Are DMPs really dead? What is a DMP? How does this relate to a CDP? While these are complicated questions to answer, we'll break down what each tool is, how they work, and how they relate to one another.

Identity is the foundation to tracking users across 3rd party tools. But most people don't know how it works or what terms and jargon relates to a user's identifier. In this lesson, we'll talk about the most common identifiers and how they play a role in a marketing stack.

Let's talk about what we'll learn in Section 3.

Once you've decided to build or buy a marketing capability, you'll need to work with your vendors or internal stakeholders to prioritize. In this lesson, we talk about the importance of prioritization and how it requires sensible give and take.

Attribution is the ability to track your sources of installs. We'll cover why attribution is such an important element of a marketing toolkit.

Most teams are not objective when selecting marketing tech. Here we'll talk about why that is, some of the common biases to be aware of, and how you can be more objective in selecting a new tool for your marketing technology stack.

Let's build a mini website as a platform to use in our demo. We will use Webflow, which is a great tool for freelancers or small businesses.

In this short lesson, we'll examine how data is often structured across various modern marketing tools.

In this lesson, we'll cover tag management, and show an example with a vendor that is quick and easy to enable.

Once you have a foundational understanding of martech, it's important to build your own martech stack from the ground up - both to experience how its done, plus build confidence in tools and seting up data pipelines. In this preliminary stack building mini-series, we build a complete martech stack.

In this lesson, we'll cover the ecosystem vendors & history for attribution and deeplinking.

The first step in building a martech system is defining a data plan. Rather than using an excel sheet or google sheet, we strongly recommend utilizing a data hygiene and management tool, like Iteratively. In this portion of the mini-series, we will setup Iteratively, show you how to add elements to the data plan, and eventually connect the tool to our CDP.

Is a business intelligence (BI) tool a substitute for a product analytics suite? Who uses each tool? Often a marketing technologist is pulled into these questions between an analytics and produc team. We'll talk about each tool, how they fit into an organization, and how a martech expert should consider using each tool.