Image by Ariel


Most digital publishers look at their Programmatic Open Auction Programs as a way to monetize "remnant inventory". However, Open Auction can become the main source of income for publishers interested in maximizing yield if managed correctly.

The only way to go about maximizing the opportunity for Open Auction is by having specialized technology manage the program's Floor Price automatically on a daily basis, for each segment of traffic.

By automating the yield management component of Open Auction Programs, publishers can expect an increase in earnings of up to 45%.

Don't settle for what you believe is the norm. Challenge the market and stay ahead of the game!

At Stoic Media we help publishers focus on "creating content" by freeing them from Ad-Tech and Ad-Operations with one simple line of code.

Our platform provides a suite  of publisher solutions that dramatically reduces the  resources needed to operate a website.

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Through a single-tag integration, publishers have access to the 17 largest demand partners (SSPs) across the world. This increases overall Ad Fill-Rates, CPMs, Revenue and Profitability for publishers' Programmatic Open Auction programs, while decreasing the amount of tags/code needed on publishers' websites.

Publishers working with Stoic Media's Open Auction solution can expect up to 45% increase in Yield and much better control of their over all Programmatic Programs.



Our platform utilizes multi-level yield  optimization mechanisms to increase revenue  for the publisher and react to market trends  automatically. Each time an ad product loads, many factors  are taken into account to determine what  minimum rate advertisers should be charged,  such as:

  • Past performance

  • Advertising source

  • Product type

  • Ad size

  • User GEO

  • User OS

  • User device

  • Traffic source

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Each one of our over 25 different ad formats can  be simulated on a publisher’s website. This  enables the publisher to more easily solicit new  direct campaign budgets and to showcase  recommended ad products surfaced by Stoic Media.
This service is also offered without the need for a  direct integration with a publisher’s website. We  can simulate any type of product on any website  without any coding needed.

Image by John Schnobrich


After receiving publisher feedback, new ad  products are created without any coding. The ad  products are dynamically created on-the-fly  when a page loads and are made available with  an on/off switch via the Stoic Media console.

Each ad product is customized to meet all  publisher editorial requests, including but not  limited to:

  • User behavior

  • Specific sections

  • Device & resolution

  • Existing ad products

  • Safety distance

  • Word count

  • Keywords

  • GEOs

  • Page layout

  • Spreading



We automatically detect users utilizing
ad-block tools such as special browsers or  browser extensions. The data is then  aggregated and displayed in a detailed  analytics platform showing the publisher  information like countries and browsers from  which ad block traffic coming.
With the publisher’s consent, Stoic Media  is able to recover much of the revenue lost due  to ad blockers by creating a set of Acceptable  Ads compliant placements that aren’t filtered  by common ad blockers.

Image by Markus Winkler


Utilizing our big data analytics platform, Stoic Media surfaces new monetization opportunities currently being missed  out on. Data considered for opportunity surfacing  includes:

  • User engagement metrics

  • Device and screen resolutions

  • Traffic distribution

  • Page layout diversity

  • Existing ad products

  • Potential ad requests



Utilizing machine learning and computer vision  algorithms, our platform scans a page’s images  on the fly and surfaces ones containing  features like nudity, violence, and gore.
If a problematic image is found, all pages  containing the image can either be blocked  from serving ads or the image can be hidden,  awaiting manual white-listing. Thresholds for  each feature are set on a per website basis.



Once live with new ad products, our platform  measures each ad product’s impact on user  experience. We compare how users behave  when an ad product is loaded versus when it is  not. The following metrics are measured to  calculate UX impact:

  • Pages p/Session

  • Time on Page

  • Session Duration

  • Scroll depth

  • Bounce rate

  • Visits p/Week

Image by Annie Spratt


Utilizing machine learning and Natural  Language Processing, our platform scans a  page’s short-form texts, such as comments  and forum posts, to find ones that discourage  online discussion (e.g. profanity, threat, sexually explicit, etc).
If a problematic text snippet is found, the page  on which the text appears can be blocked  from serving ads or the text can can be hidden automatically, awaiting manual white-listing.