Our mission
Programmatic mobile media buying
Programmatic mobile media buying is the process of using automation technology to purchase mobile advertising space in real-time. We use Ad monitoring in programmatic mobile media buying to track and optimize the performance of your ads. Here are the steps We use in programmatic mobile media buying:
  1. Implement tracking pixels on your mobile website or app to collect data on user interactions with your ads.
  2. Connect to a demand-side platform (DSP) that allows you to purchase mobile advertising space programmatically.
  3. Define targeting criteria: Define targeting criteria, such as demographics, location, and behavior, to ensure your ads are reaching the right audience.
  4. Monitor ad performance: Use the data collected by the tracking pixels to monitor the performance of your ads, such as impressions, clicks, and conversions.
  5. Based on the data, optimize your ad campaign to improve performance. This includes adjusting targeting criteria, changing ad creative, and experimenting with different ad formats.
  6. Use bid management to automate the process of purchasing mobile ad space in real-time based on the performance data.
  7. Use reporting and analytics: Use reporting and analytics tools to track the performance of your programmatic mobile media buying campaign.
It's important to note that programmatic mobile media buying can be complex, so many businesses hire a mobile advertising platform or a programmatic mobile agency to help with this process.
And we use our own software development - the Valamon optimization system.

Our product
Valamon optimization system
Valamon is an ad monitoring tool - a software product that helps companies track and analyze the effectiveness of their online advertising campaigns. The tool integrates with advertising platforms and automatically collects performance data on advertising. Some of the key features of the tool include:
  1. Automatic data collection: The tool automatically collects data on ad performance and demographics, eliminating the need for manual data entry.
  2. Reporting and visualization: The tool generates easy-to-understand reports and visualizations that show which ads are performing well and which are not. This enables businesses to quickly identify areas for improvement.
  3. Alerts and notifications: The tool can provide alerts and notifications for suspicious activity, such as click fraud, and can suggest ways to improve the performance of underperforming ads.
  4. Audience targeting: The tool helps businesses understand their target audience and demographics, which is essential for effective targeting in future campaigns.
  5. Multi-platform support: The tool supports multiple ad platforms, enabling businesses to monitor all their advertising campaigns from a single interface.
  6. Scalability: The tool can handle a large number of ad accounts and support for different levels of data analysis.
  7. Accessibility: The tool can be accessed via a web browser or through a mobile application.
  8. Security: The tool is built to provide the necessary security to protect the data collected.
This type of tool can be offered in two forms: 1. as a software as a service (SaaS)
2. as a comprehensive mobile media buying service.
Innovations that we use
  • Artificial Intelligence (AI) and Machine Learning (ML) are being used to optimize ad targeting, bid management, and ad performance. This allows us to automatically adjust targeting criteria, bid prices, and ad creative based on real-time performance data.
  • Real-time data processing allows us to analyze data in real-time and make adjustments to the ad campaign on the fly. This improves the accuracy of the ad monitoring and allows for more precise targeting.
  • Predictive modeling is being used to analyze large amounts of data to predict future ad performance. This allows us to make predictions about which targeting criteria and ad formats will be most effective and make adjustments accordingly.
  • Multi-touch attribution is a way of tracking the customer's journey and measuring the effectiveness of various touchpoints. This allows for a better understanding of the user's interaction with the advertisement.
  • Ad fraud detection technologies are being used to detect and prevent fraudulent activity in programmatic mobile ad campaigns. This ensures that ad budgets are being spent on legitimate ad placements and not on fraudulent activity.
  • Advanced reporting and analytics tools allow for more detailed and accurate tracking of ad performance, including metrics such as engagement, conversions and user behavior, which can help to optimize the ad campaign.

    It is important to note that these innovations are constantly evolving, and we are developing new technologies to improve algorithmic monitoring of mobile advertising.

E-mail: [email protected]