Metadata.io, the marketing operating system for B2B, announced the release of Display and Google Ads being run through its AI-powered marketing campaign platform, giving customers more control over campaign ad spend for better targeting.

Recommended AI News: RingCentral Announces Innovations to Make Hybrid Work Simple

“Marketers want the transparency to measure movement across the accounts funnel, and flexibility and control for better targeting without getting nickel and dimed,” said Gil Allouche, Co-Founder and CEO of Metadata.io. “Marketers are done guessing what’s happening behind the scenes, and tired of wasted ad spend giving them mixed results. We’re making it possible to run campaigns that actually deliver results and spend more time driving revenue.”

Marketers who run their Display ads through Metadata can now make informed decisions on where to spend their time and budget across Display, Facebook, LinkedIn, and Google Ads. It helps to generate leads from strategic one-to-one and one-to-few campaign targeting using the same platform they run their paid social and search campaigns. Using display ads on Metadata is helping marketers solve the lack of visibility across paid acquisition channels, inconsistency of media supply for volume and quality, missed optimization opportunities, and lack of data on incoming leads. Metadata’s display capabilities have fully customizable potential in terms of programmatic.

Recommended AI News: Comscore and Standard Media Index Launch First Effective Cost-per-Thousand (eCPM) Metric for National Linear Television Ad Spend

Metadata also announced capabilities to run Google Ads campaigns within its platform. That means less time stressing about mistakes like incorrect match types, forgetting set up steps, or using the wrong bidding strategy. With Google Ads being more complex and expensive than ever before, it’s becoming more tedious to run campaigns manually. This latest ability helps to automate Google Ads campaigns and drive more revenue without the manual and repetitive work. Marketers can now run hyper-targeted campaigns, automate 1:1:1 setup (one keyword, one ad, one landing page) at the keyword level, and increase quality by adding the keyword directly into display paths dynamically, making ads more relevant and budgets more performance-based.

The news builds on recent momentum with the company’s announcement of $40M in Series B Funding in March 2022, helping to expand platform capabilities to meet its vision as the operating system for B2B marketers.

Recommended AI News: Wirelesscar Announces AI-Research Project for Sustainable Mobility

[To share your insights with us, please write to sghosh@martechseries.com]