StackAdapt has released a self-service ABM targeting and measurement solution for B2B marketers

As B2B marketers strive to reach high-value audiences, account-based marketing (ABM) has emerged as a critical strategy. ABM focuses on targeting specific accounts and individuals with personalized messaging and content, rather than using a broader approach. StackAdapt, a programmatic advertising platform, has released a self-service ABM targeting and measurement solution to help B2B marketers implement and measure the success of their ABM campaigns. Let’s take a closer look at how this new offering works.

What is StackAdapt’s ABM targeting and measurement solution?

StackAdapt’s new ABM solution is a self-service, in-platform tool that enables B2B marketers to target high-value audiences based on account lists, firmographic information, and persona-level data. Marketers can also measure the success of their campaigns through reporting that leverages proprietary B2B ID graph technology. The solution is designed to reduce barriers to ABM implementation, increase automation, and streamline reporting.

How does the solution help users target high-value audiences in the US?

The ABM targeting and measurement solution is built on a closed-loop identity ecosystem that improves match rates. This means that StackAdapt can attribute ad engagement back to authenticated audiences, which can be prioritized within sales teams. Marketers can also use the solution to understand how accounts are engaging with campaigns and content, allowing for better iteration on campaign performance.

What is a closed-loop identity ecosystem and how does it improve match rates?

A closed-loop identity ecosystem is a system that allows for the tracking and verification of users across different devices and platforms. This ecosystem helps to improve match rates, which refer to the rate at which a marketer’s intended audience is correctly identified. By maintaining a closed-loop identity ecosystem, StackAdapt can improve the accuracy of ad targeting, resulting in a higher engagement rate and better return on investment for marketers.

What is StackAdapt’s proprietary B2B ID graph technology and how does it help users create and report on campaigns?

StackAdapt’s proprietary B2B ID graph technology is a collection of data points that enable the identification and targeting of specific individuals and accounts. This technology helps users create highly targeted campaigns that can be deployed across different programmatic channels, such as native, display, video, CTV, audio, and in-game advertising. The technology also allows for frictionless campaign creation and streamlined reporting, reducing the complexity of programmatic ABM for B2B marketers.

What are the benefits of using this solution for B2B marketers?

The ABM targeting and measurement solution from StackAdapt provides several benefits for B2B marketers. First, the ability to activate authenticated audiences faster allows for a quicker time to market and a better chance of engaging high-value accounts. Second, the ability to understand how accounts are engaging with campaigns and content allows for better iteration on campaign performance, ensuring that marketers are delivering the right messaging to the right audience. Finally, the ability to identify interested and engaged accounts for prioritization within sales teams helps drive revenue growth.

How does the solution enable users to reach their ideal audiences across all channels?

The ABM targeting and measurement solution from StackAdapt allows marketers to reach their ideal audiences on all programmatic channels, including native, display, video, CTV, audio, and in-game advertising. This ensures that marketers can engage with their high-value audiences where they are already spending their time, improving the chances of ad viewership and engagement.

How does StackAdapt aim to reduce barriers to ABM implementation with this self-service tool?

StackAdapt aims to reduce barriers to ABM implementation for B2B marketers by offering a self-service ABM targeting and measurement tool. This self-service approach allows marketers to create and launch campaigns quickly and efficiently, without the need for extensive technical knowledge or a dedicated team. Additionally, the solution provides automated reporting which reduces the time and effort needed to measure campaign success.

How does the solution reduce the complexity of programmatic ABM through automation and streamlined reporting?

The ABM targeting and measurement solution from StackAdapt reduces the complexity of programmatic ABM through increased automation and streamlined reporting. The solution allows for frictionless campaign creation and automated reporting, which reduces the time and effort required to deploy and measure ABM campaigns. This approach ensures that B2B marketers can focus on creating personalized content that resonates with their target audience instead of worrying about the technical aspects of programmatic advertising.

In conclusion, StackAdapt’s ABM targeting and measurement tool is advancing the ability of B2B marketers to create highly scalable and measurable ABM strategies through programmatic technology. By reducing implementation barriers, increasing automation, and offering streamlined reporting, StackAdapt is making it easier for B2B marketers to target their high-value audiences and drive revenue growth.

Explore more

AI Redefines the Data Engineer’s Strategic Role

A self-driving vehicle misinterprets a stop sign, a diagnostic AI misses a critical tumor marker, a financial model approves a fraudulent transaction—these catastrophic failures often trace back not to a flawed algorithm, but to the silent, foundational layer of data it was built upon. In this high-stakes environment, the role of the data engineer has been irrevocably transformed. Once a

Generative AI Data Architecture – Review

The monumental migration of generative AI from the controlled confines of innovation labs into the unpredictable environment of core business operations has exposed a critical vulnerability within the modern enterprise. This review will explore the evolution of the data architectures that support it, its key components, performance requirements, and the impact it has had on business operations. The purpose of

Is Data Science Still the Sexiest Job of the 21st Century?

More than a decade after it was famously anointed by Harvard Business Review, the role of the data scientist has transitioned from a novel, almost mythical profession into a mature and deeply integrated corporate function. The initial allure, rooted in rarity and the promise of taming vast, untamed datasets, has given way to a more pragmatic reality where value is

Trend Analysis: Digital Marketing Agencies

The escalating complexity of the modern digital ecosystem has transformed what was once a manageable in-house function into a specialized discipline, compelling businesses to seek external expertise not merely for tactical execution but for strategic survival and growth. In this environment, selecting a marketing partner is one of the most critical decisions a company can make. The right agency acts

AI Will Reshape Wealth Management for a New Generation

The financial landscape is undergoing a seismic shift, driven by a convergence of forces that are fundamentally altering the very definition of wealth and the nature of advice. A decade marked by rapid technological advancement, unprecedented economic cycles, and the dawn of the largest intergenerational wealth transfer in history has set the stage for a transformative era in US wealth