What kind of publishers does Playwire work with?

Playwire works with publishers across many different technology categories. We support ad monetization for webistes , mobile apps , and desktop apps .

How does Playwire compare to other ad monetization solutions?

Comparing ad monetization solutions is no simple task. To simplify it, this comparison page breaks down the types of ad monetization solutions on the market and then compares them across the most important categories of requirements publishers and app developers need fulfilled.

What kind of reviews does Playwire get from publishers?

Take a look at unfiltered reviews from Playwire publishers here .

What kind of results can I expect with Playwire?

Publishers often see an uplift of around 20% when switching to Playwire from other ad monetization solutions. Take a look at our library of case studies to see real-world results from publishers.

Is my website or app qualified to monetize with Playwire?

We typically suggest that website publishers apply once they've reached 500,000 page views or more, and app developers apply once they’ve reached 10,000 Daily Active Users or more, to get the full ROI from the RAMP Platform.

E-Courses | Ad Yield Management | Introduction

Name: RAMP®
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Lesson Overview + Resources:

In this lesson, we'll take you step-by-step through the yield ops workflow, which is an ongoing three step process.

Step 1: Develop a yield management strategy and hypothesis for the expected outcome of that strategy.
Step 2: Test your strategy, and determine where, if any, improvements or adjustments can be made.
Step 3: Continuously monitor and manage your ad yield (we're talking 24/7 maintenance for the best results).

Here are additional resources pertaining to this lesson:

Read the Transcript:

Let’s talk about how a yield operations team typically manages their workflow.

Despite the complexity of all the different activities ad yield management teams are involved in, there is typically a pretty consistent workflow that they can organize their efforts into. This workflow breaks down into three stages:

Strategy and hypothesis building
Testing
And, Continuous monitoring and management

Let’s start by covering strategy and hypothesis building.

The first step in optimization of any kind is putting together a hypothesis for a strategy that might increase revenue. An example of such a hypothesis might look like:If I try “strategy X” it will increase my total ad revenue.

In this case “strategy X” could be any number of things, including, but not limited to:

Changing the position of an ad unit
Increasing the price floor for Monday nights at 9PM on a particular ad unit
Refreshing an ad unit every 30 seconds
Adding a sticky ad unit to a specific page

And so on… and so on.

Ultimately the team is coming up with ideas to test.

Next, let’s talk through what happens during testing.

Once a hypothesis has been formulated, it's time to test. This is where other teams get involved. Depending on the hypothesis, a yield ops team member may need support from the ad ops team or the engineering and development team to execute their desired test.

They’ll run the test for a set period of time, review the results, and draw insights and conclusions on what permanent changes to settings they should make as a result of the experiment.

Depending on the success of the test, the settings tested may make their way into the new “default” state of your ad setup.

And lastly, let’s go over continuous monitoring and management.

Yield operations teams are also responsible for keeping an eye on yield at all times to be on the lookout for dips or drops. Because of the complexity of the ad tech ecosystem, there are constant changes going into effect that can negatively affect your yield, meaning you have to be watching 24/7.

It is up to the yield ops team to work to identify issues that are causing any drops in yield and troubleshoot those issues. Issues affecting yield can pop up at any point across the ad supply chain, so troubleshooting often involves pulling in other team members to solve. Yield ops ultimately is responsible for being the team that surfaces the issue and tries to isolate the cause of the issue.