Real-time Bidding (RTB) is an automated process where digital advertising inventory is bought and sold on a per-impression basis through programmatic auctions. It enables advertisers to bid in real-time for individual ad impressions, allowing for precise targeting and efficient allocation of ad spend.

About Real-time Bidding
Real-time Bidding emerged around 2009 as a method to increase the efficiency of online ad buying. It was developed to address the limitations of traditional ad buying methods, which were often slow and lacked precision. By enabling real-time auctions for individual ad impressions, RTB allowed advertisers to target specific audiences more effectively and optimize their ad spend dynamically.
Strengths of Real-time Bidding include precise targeting, efficient ad spend, and real-time analytics. Weaknesses involve potential privacy concerns, ad fraud risks, and high complexity. Competitors include direct ad buys, programmatic direct, and private marketplace deals.
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How to hire a Real-time Bidding expert
A Real-time Bidding expert must have skills in data analysis, SQL, and Python for handling large datasets. Proficiency in machine learning algorithms is crucial for optimizing bidding strategies. Knowledge of programmatic advertising platforms, such as Google Ad Manager and DSPs (Demand-Side Platforms), is essential. Understanding of HTTP protocols and APIs is necessary for integrating and troubleshooting RTB systems.

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