Ad mediation works by routing ad requests to multiple ad networks, and then selecting the highest paying ad to display to the user. The ad mediation platform typically includes tools for optimizing ad performance and revenue, such as eCPM (effective cost per thousand impressions) optimization, ad network failover, and ad network waterfalls. When a user opens an app or website that is using ad mediation, the platform sends an ad request to multiple ad networks. Each ad network then returns an ad and the eCPM (effective cost per thousand impressions) they are willing to pay for it. The ad mediation platform then selects the highest paying ad to display to the user.
Additionally, ad mediation platforms can also use ad network failover, which allows it to route ad requests to backup ad networks in case the primary ad network is unavailable. They can also use ad network waterfalls which routes ad requests to multiple ad networks in a predefined order, based on the eCPM (effective cost per thousand impressions) offered by each network.
Ad mediation platforms also provide analytics and reporting features to help app and website publishers to track and optimize the performance of their ads, and make data-driven decisions about which ad networks to work with.
Ad mediation platforms can help app and website publishers in several ways:
Increased revenue: Ad mediation platforms can help boost ad income by optimizing ad performance, administering multiple ad networks, and furnishing access to a wider selection of ad inventory.
Simplified monetization: Ad mediation platforms can make the process of monetizing content easier by providing a single integration point for multiple ad networks.
Analytics and reporting: Ad mediation platforms provide analytics and reporting features that enable app and website publishers to track and enhance the performance of their advertisements. This can assist them in making decisions based on data about which ad networks to collaborate with.
In-app advertising: Ad mediation platforms can help app developers and mobile marketers to promote their apps through in-app advertising, which can augment app downloads and user engagement.
Header bidding and waterfall bidding: Ad mediation platforms can also bolster In-app header bidding and waterfall bidding which allows multiple ad networks to tender for ad inventory in real-time, before the ad request is sent to the primary ad server. This can increase rivalry for ad inventory and lead to higher ad revenue for publishers.
Ad Network failover: Ad mediation platform can also provide failover feature which allows it to send ad requests to reserve ad networks in case the primary ad network is inaccessible, which can ameliorate user experience and amplify the fill rate for ad inventory.
An ad tag is a piece of code that is inserted into a website or app to display advertisements. When someone visits the website or app, the ad tag tells the ad server to serve up an ad, which is then displayed on the website or app. Ad tags can be used to display a variety of different types of ads, including banners, pop-ups, and video ads.
Ad tags are used by advertisers to reach specific audiences and to track the performance of their ad campaigns. Digital marketing advertisers use ad tags to display ads on websites and apps that have a relevant audience in the hopes of getting those users to take some desired action, such as clicking on the ad, making a purchase, or signing up for a newsletter..
Advertisers might use ad tags to display a variety of different types of ads, including banner ads, video ads, and rich media ads. They might also use ad tags to target specific audiences, such as users who have previously shown an interest in similar products or services.
Ad tags are also used by website and app owners to monetize their content. By inserting ad tags into their websites or apps, they can display ads and earn revenue from those ads.
Overall, ad tags are used by advertisers and website and app owners as a way to reach specific audiences and to track the performance of ad campaigns. They are an important tool in the world of digital advertising.
var ad_tag = '<!-- Beginning of tag -->\
<img src="http://www.bigabid.com/banner.jpg" alt="Banner ad">\
<!-- End of tag -->';
There are several different types of ad tags that can be used to display ads on a website or app. Below are a few examples:
ARPPU, or average revenue per paying user, measures how much money a user spends on a product or service in the gaming and software industries. It is calculated by dividing the total revenue generated by the number of paying users. This metric can be helpful for businesses because it allows them to understand how much money they are generating per user, and can be used to identify trends and make decisions about pricing and marketing strategies.
To calculate ARPPU, you need to know two things: the total revenue generated by a product or service and the number of paying users. The formula for ARPPU is simple:
ARPPU = Total Revenue / Number of Paying Users
For example, if a game generates $100,000 in revenue and has 1,000 paying users, the ARPPU would be $100. This means that, on average, each paying user spends $100 on the game.
In the mobile app industry, ARPPU is often used as a key performance indicator (KPI) to measure the effectiveness of marketing campaigns and the overall success of an app. By tracking ARPPU over time, app developers and marketers can identify trends and make decisions about how to improve the app's monetization strategy.
For example, if an app has a high ARPPU, it may indicate that it is popular among a certain demographic or that its pricing strategy is effective. In this case, the app's developers and marketers may want to focus on targeting the same demographic and maintaining the current pricing strategy. On the other hand, if the ARPPU is low, it may indicate that the app is not appealing to users or that the pricing strategy is ineffective. In this case, the app's developers and marketers may want to consider making changes to the app's features or pricing to increase revenue.
Overall, ARPPU is a valuable metric for app developers and marketers because it provides insight into how much money users are spending on an app, and can be used to make data-driven decisions about how to improve the app's performance and generate more revenue.
To improve ARPPU, you need to focus on two things: increasing the amount of money that users are spending on your product or service and increasing the number of users who are paying for it. Here are some strategies you can use to do this:
Overall, improving ARPPU involves a combination of strategies that focus on increasing the amount of money that users are spending on your product, and increasing the number of users who are paying for it. By implementing the strategies above and tracking your ARPPU over time, you can make data-driven decisions that will help you improve your product's performance and generate more revenue.
Average Revenue Per User, or ARPU, is a key indicator that organizations use to measure success. Fundamentally, it is a measure of how much revenue a business is generating on a per-user basis. ARPU is determined by taking the total income of a company and dividing it by the number of users. It is an essential metric for any business that has a direct connection with its clients, such as a SaaS company or a mobile app. It can also be utilized by subscription-based businesses to measure the revenue generated per subscriber. ARPU assists businesses to comprehend how much money they make from each customer and help make data-driven decisions about product development, marketing strategy, and customer acquisition.
ARPU is a crucial metric for any business with a direct relationship with its customers, such as a software as a service (SaaS) company or a mobile app. It can also be used by subscription-based businesses, such as streaming services or gyms, to measure the revenue generated per subscriber.
ARPU is important because it allows companies to discern the amount of money they are earning from each individual customer. This data can be utilized to make key decisions regarding product advancement, marketing plans, and customer procurement. For instance, if a company realizes that its ARPU is low, it may have to concentrate on obtaining more lucrative customers or creating new products and services to produce more income per user.
Calculating ARPU is relatively straightforward. The formula is:
ARPU = Total Revenue / Number of Users
For example, let's say a company has a total revenue of $100,000 and has 10,000 users. To calculate the ARPU, you would divide the total revenue by the number of users:
ARPU = $100,000 / 10,000 = $10
In this example, the company's ARPU is $10 per user.
It's also important to note that you can calculate ARPU for a specific time period, such as monthly or annually. To do this, you would use the same formula but with the revenue and user numbers for that specific time period.
For example, if a company has a monthly revenue of $25,000 and has 2,500 users, the monthly ARPU would be:
ARPU = $25,000 / 2,500 = $10
In this example, the company's monthly ARPU is $10 per user.
ARPU and LTV (lifetime value) are often used in tandem but they are not interchangeable. LTV represents the aggregate income earned from a client throughout their lifespan. Conversely, ARPU refers to the revenue obtained per user within a short time frame. It is essential to remember that while LTV is a long-term metric, ARPU is a short-term one.
Improving your ARPU can be done in multiple manners, such as selling more to current customers, obtaining premium clients, or forming novel products and services that will bring in more income per user. In addition, businesses can put emphasis on augmenting the life span of their customers through loyalty plans or other upkeep techniques.
Overall, ARPU is an essential statistic for any corporation that desires to interpret its expansion and make decisions based on data. It is basic for any entrepreneur or financier to recognize and monitor ARPU to make well-informed decisions about the destiny of their business.
Fake installs refer to the practice of artificially inflating the number of downloads for a mobile application by fraudulent methods, for example, creating fake accounts or utilizing bots to download the app multiple times automatically. This tactic is a violation of the guidelines set forth by app stores such as the App Store and Google Play and is considered unethical in the software development industry.
It is important to understand that fake installs not only undermines the integrity of app store rankings and recommendations but also misrepresent the true popularity of an app to potential users. This can ultimately lead to a poor user experience and wasted time and resources for those who may download an app based on its inflated metrics.
Fake installs typically work by using fake accounts or automated bots to inflate the number of downloads for a mobile application artificially. This can be done in a few different ways;
It's important to mention that install fraud is prohibited and violates the terms of service set by app stores such as Google Play and Apple's App Store. Developers engaging in this practice risk having their apps removed from the app store and even being banned from the platform.
Detection of fake installs is an essential part of maintaining the integrity of mobile app stores and making sure that users have access to accurate information about app popularity and usage. There are a number of different methods that can be used to detect fake installs, including:
A private marketplace is a platform for buying and selling mobile app inventory that is only available to a select group of pre-approved buyers and sellers. These marketplaces are typically invitation-only and offer a more exclusive and high-quality inventory than open marketplaces. Private marketplaces can offer a variety of benefits to both buyers and sellers, such as increased transparency, improved targeting, and better control over pricing and inventory. Overall, it can be a great way for both parties to connect and engage mutually.
Here are 5 ways a private marketplace is different from the open market:
To summarize, a private marketplace can offer a more exclusive and efficient way to buy and sell mobile app inventory, while open marketplaces can be more widely available and less specific.
In the mobile app industry, private marketplaces are becoming more an more popular for various reasons. One of the primary reasons is the demand for quality inventory… brands and agencies are becoming more selective about where they place their ads. Private marketplaces offer a more exclusive and high-quality inventory than open marketplaces, which can be more valuable to advertisers.
Another reason is the improved targeting capabilities that private marketplaces offer. With more precise targeting, brands and agencies can reach their desired audience more effectively. Additionally, private marketplaces provide greater transparency which allows brands and agencies to make more informed decisions about where to place their ads.
Brand safety is also becoming a concern for many companies and private marketplaces offer a safer environment as they are only available to a select group of pre-approved buyers and sellers, reducing the risk of fraud and ad placements on inappropriate sites.
Private marketplaces also give brands and agencies better control over pricing, which can lead to more efficient and profitable advertising campaigns. On top of that, private marketplaces allow brands and agencies to establish direct relationships with publishers, which can be beneficial for both parties.
SDK spoofing is a ploy employed by cybercriminals to secure confidential details from an application. They do this by manipulating the SDK of the app, which is a conglomeration of instruments and libraries that creators employ to construct the app. By transforming the SDK, the attacker can make the app act as though it's from an alternate source, such as a contrasting app or platform. This can be utilized to circumvent security measures and obtain access to user data, including login credentials and individual information. Furthermore, once the attacker has access to the app, they can use it to disseminate malware or to initiate other cyberattacks. To thwart SDK spoofing, developers should utilize protective measures such as code signing and encryption to guarantee that the app's code and data are preserved, and to authenticate the legitimacy of the app.
One way to avert SDK spoofing is by utilizing code signing. This is a procedure where the application's code is digitally endorsed by the developer to affirm its legitimacy. This assists with guaranteeing that the app has not been meddled with, and that it's coming from a trusted source. Creators ought to likewise utilize encryption to secure the app's information, this will forestall unapproved access to client information and other delicate data.
Another approach to forestall SDK spoofing is by utilizing a portable security app that can examine the app for malware or other security dangers. This will assist with recognizing whether the app has been hacked or undermined and can alarm the client to take care of business. Moreover, app engineers ought to screen their SDKs consistently and ensure that they are utilizing the most recent form of the SDK. This will help to guarantee that any security imperfections have been fixed, and that the SDK isn't being utilized maliciously.
View-through attribution, or VTA, is a method of measuring the effectiveness of mobile app ads. VTA is a way to track when a user views an advertisement within a mobile app and later converts within the app. This can help advertisers to get a better understanding of the impact their ads are having, and make more informed decisions about where to allocate their mobile app advertising budget.
VTA can be particularly useful for measuring the effectiveness of in-app display advertising, where users may be more likely to see an ad without clicking on it. It can also be beneficial for tracking the effectiveness of video ads and rewarded ads within mobile apps. It is important to note that VTA requires the use of in-app tracking tools, such as mobile SDKs, to track user behavior and attribute conversions to specific ad views. With the right tools in place, VTA can be a powerful way to gain deeper insights into user engagement within mobile apps and optimize mobile app advertising strategy.
VTA works by assigning a predefined "attribution window" for each campaign. This window, also known as the "lookback window", is the period after an impression when a conversion may be attributed to it. This conversion can refer to any desired action that you want users to take, such as app installs, re-engagement, purchases, and more.
Typically, the standard attribution window is 24 hours, which means any conversion within 24 hours after a user views an ad is attributed to that particular impression. However, it's worth noting that this window can vary depending on the market and industry. For instance, mature markets like the US and Singapore tend to have longer attribution windows, as users in these countries tend to take more time to convert.
Additionally, the attribution window is longer for industries like finance, education, and e-commerce, but shorter for gaming, health, and fitness apps. The reason for this is that downloading a game, for instance, doesn’t require as much thought as a financial app would. This leads to shorter attribution windows. It’s also understandable, considering that advertisers in these industries have established ad networks designed to convert users quickly.
Therefore, it's crucial for advertisers to choose the most suitable attribution window based on their industry and target market segment. And to ensure accurate and timely attribution of conversions, advertisers must share ad impression data with relevant ad networks. With the right VTA strategy in place, mobile app advertisers can gain a more complete picture of the impact their ads are having on user engagement and optimize their mobile app advertising strategy accordingly.
One of the main benefits of using view-through attribution (VTA) for your app is that it provides a more complete picture of the impact your ads are having. Traditional click-through attribution only tracks conversions that occur directly after a user clicks on an ad, but VTA also tracks conversions that occur after a user views an ad but doesn't click on it. This allows you to see the full impact of your ad campaign, including the effectiveness of your display ads.
Another benefit of using VTA is that it allows you to make more informed decisions about where to allocate your advertising budget. By tracking the full impact of your ads, you can see which ads are driving the most conversions and optimize your ad spend accordingly. Additionally, by understanding the attribution window that works best for your industry, you can make sure that your ads are reaching the right audience at the right time. Overall, using VTA can help you to better understand your target audience and increase the ROI of your mobile app advertising campaigns.