StackAdapt

StackAdapt is the developer of a multi-channel advertising platform that supports solutions including native, display, video, connected TV, audio, in-game, and digital-out-of-home (DOOH) ads. The company's programmatic solution uses machine learning to meet user needs and is built around the three pillars of programmatic advertising: planning, executing, and analyzing advertising campaigns across formats to help companies develop and execute advertising campaigns and track and optimize those campaigns as they are enacted. StackAdapt also offers a sizeable advertising network with targeting capabilities offered by third-party data providers, which allows advertisers using StackAdapt to reach their preferred audience—by location, industry, job function, and title—where that audience is.

StackAdapt was founded in 2013 by Ildar Shar, Vitaly Pecherskiy, and Yang Han and is headquartered in Toronto, Canada. The company works to use machine learning and data science in programmatic advertising to help advertisers reach their intended audience through an understanding of the complexity of human behavior.

StackAdapt's platform is a demand-side platform that has been developed around the three core pillars of programmatic advertising: planning, executing, and analyzing.

For planning, Stack Adapt offers various planning functionalities and tools to help users gain insights into a campaign's potential before it is launched. This includes a creative studio for creative collaboration across a team that allows users to match creative assets with campaign KPIs and create optimal ads for platform capabilities; planner, which uses data in real time to evaluate campaign potential and identify the highest-value opportunities to reach customers; and an ad previewer, allowing users to preview display, native, and video ads on desktop across publishers and verticals.

Once an advertising campaign has been planned, StackAdapt offers users the tools to execute on the ad campaign. This includes offering multi-channel targeting, which allows users to serve ads across a range of media platforms in order to reach their target audience where they are and with a capability to extract performance data to give users insight into the performance of their ad campaign. The tool also offers users an inventory and marketplace solution, which gives them access to supply across all the channels where a targeted audience consumes content; and strategy tools, which include tools to improve creative tactic capabilities to execute multiple targeting tactics rather than creating multiple campaigns per channel.

The final part of StackAdapt's platform is the analysis engine, which offers users an understanding of the effects of a given advertising campaign. This includes machine learning and artificial intelligence (AI) to automate performance decisions to ensure a campaign has a broad reach at scale; reporting, with a native Whatagraph integration, which allows users to bring data from StackAdapt and other marketing channels into a single report on their effectiveness; and actionable insights, including location-based intelligence, to measure conversion contributions in the last-mile of an advertising campaign.

StackAdapt also offers contextual targeting, a solution developed to help users get their ads where their target audience is more likely to engage with them. The contextual targeting solution uses Stack Adapt's Page Context AI, which uses behavioral targeting to get higher conversion rates on advertising campaigns, including keyword rule targeting to surface ads in the best context.