Advertising platform utilizes billions of retail analytics to inform product advertising decisions
Stackline, a pioneering retail analytics and advertising provider for the world’s largest brands and manufacturers, announced Ad Manager, an intelligent advertising automation tool that applies real-time bidding, competitive advertising, profitability, conversion, and incrementality data to develop and dynamically optimize high-performing e-commerce advertising. Unlike other advertising tools, Ad Manager utilizes market and product landscape data, as well as Stackline analytics and profitability metrics.
Recommended AI News: AiThority Interview Eyal Mekler, Regional Vice President Asia Pacific – Sisense
“Advertising should be data-driven, optimized and intelligent. With Ad Manager, we’re providing an unprecedented look and access into a market that’s moving billions of dollars,” said Michael Lagoni, CEO of Stackline. “Ad Manager is another step in our commitment to being the e-commerce growth engine needed to thrive in today’s competitive environment.”
eMarketer reports that by 2023, digital will account for 66 percent of total media spend. But traditionally a manual process, or one that only could access a small pool of industry data, e-commerce advertising can be a time consuming task without a clear ROI. With Stackline, advertisers are now able to set parameters, like budget, goals and dates and Ad Manager does the rest. Further, prior to even submitting a new advertising campaign, Ad Manager will show a forecast of the projected financial performance, giving brands unprecedented transparency into their marketing investments.
Recommended AI News: We Live And Breathe Data And Technology – Sans Ego: Silverbullet CEO Ian James
Ad Manager is for e-commerce brands who want to:
-
Grow brand awareness and reach new customers
-
Easily set brand goals and view budget projections and full-funnel metrics
-
Dynamically target shoppers and competitors to maximize results
-
Receive automated insights and recommendations catered to boosting profitability
-
Utilize machine learning to adjust bids in real-time and dynamically shift budgets
Recommended AI News: SaaS Versus Cloud: How AIOps Is Impacting Both
Comments are closed, but trackbacks and pingbacks are open.