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 - Price Floor Strategy Next Steps

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Lesson Overview + Resources:

By now, you should have a good understanding of how to build and maintain a price floor strategy. To conclude this module, in this lesson, we will reiterate:

The difference between a cohesive and a disjointed price floor strategy
How to streamline your yield experimentation

Here are additional resources pertaining to the lesson above:

Read the Transcript:

Let’s talk about what you can do with a comprehensive price floor strategy.

First, you now have COHESIVE STRATEGY rather than a DISJOINTED STRATEGY with many individual rules.

Managing your strategy this way means the factors that influence multiple rules are managed from a single location. This allows you to combine your different influencing factors in a way you may never have thought of in the past.

When looking at rules as singular items, it is very difficult to determine what each factor combination might be worth to you. Looking at a user on a desktop device, browsing with Chrome on a Monday Afternoon seemed overly specific before, and deciding what that impression should be worth is nearly impossible.

This strategy allows you to combine your knowledge about how each of the unique targeting factors affect your CPMs together to create highly custom rules. Because you know individually what a desktop device, Chrome Browser, and Monday Afternoon view mean to you in terms of value, you can now put all that knowledge together to determine the value of the combination.

Second, this type or strategy allows for STREAMLINED YIELD EXPERIMENTATION.

Managing your strategy this way also makes it much easier to run tests and experiments that might affect more than one rule at a time.

For instance, if you wanted to test increasing the target CPM incrementally for a single ad unit, you can update your ad unit base price rules, and it will automatically update all your price floor numbers for every rule that incorporates that ad unit.

Similarly, if you want to test increasing CPMs for a particular country group or browser, you can update the percentage assigned to that item in the appropriate rule tab and it will automatically update all your pricing rules that use that trigger criteria.