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📜 Terms

Please read these terms and conditions carefully before using Magfi Ad Network.

TermDefinition
CPM (Cost Per Mille/Cost Per Thousand Impressions)The cost an advertiser pays for one thousand views or impressions of an ad. For publishers, a higher CPM means the ad space is more valuable as it generates more revenue per thousand impressions.
CPC (Cost Per Click)The cost an advertiser pays each time a user clicks on an ad. Publishers earn revenue based on the number of clicks their ads receive. A higher CPC generally indicates a more engaged audience or a more effective ad.
CPA (Cost Per Acquisition)The cost an advertiser pays for a specific action taken by a user after clicking on an ad, such as making a purchase or filling out a form. While less common for publishers, CPA campaigns can be very lucrative if their audience is highly engaged and likely to convert.
CTR (Click-Through Rate)The percentage of users who click on an ad after seeing it. A high CTR indicates that the ad is relevant and engaging to the audience, which can lead to higher earnings for publishers.
Ad RequestWhen a user visits a website or app with ad space, the publisher sends a request to an ad server to display an ad. The ad request includes information about the user, the website, and the ad space, which helps the ad server select the most relevant and valuable ad.
Fill RateThe percentage of ad requests that are filled with ads. A high fill rate means that the publisher is effectively monetizing their ad inventory. Low fill rates can indicate issues with ad quality, targeting, or pricing.
ImpressionA single instance of an ad being displayed to a user. Impressions are the basic unit of measurement in online advertising. Publishers earn revenue based on the number of impressions their ads receive (especially in CPM models).
APP_CODEThis allows for tracking and distinguishing publishers within the ad network or platform.
AD_CODEUnique identifiers for each ad placement or ad unit within a publisher's app. This allows for granular tracking and optimization of individual ad placements.