Understanding Traffic Shaping in 2025

What is Traffic Shaping and Why is it Necessary

As we navigate through 2025, stricter privacy regulations make effective targeting more challenging in ad tech. Traffic Shaping is one of the key strategies in programmatic advertising that helps ensure that ads remain relevant and compliant, allowing advertisers to deliver personalized content while respecting user privacy. In this article, we’ll explore how Traffic Shaping works, its impact on ad performance, and how tools like Prebid and AI can further optimize its effectiveness.

Auction duplication has been a problem in programatic advertising. It occurs when multiple exchanges bid on the same ad inventory, leading to wasted ad spend and distorted bid values. Advertisers may end up bidding multiple times for the same impression, driving up costs without increasing competition. This issue is especially prevalent in newer formats like Connected TV (CTV), where high demand and limited inventory can amplify inefficiencies. Traffic Shaping helps reduce auction duplication by ensuring ad requests are more precise, sending impressions to the right exchanges without redundancy.

Invalid traffic (IVT), such as traffic from bots or click farms, can also significantly reduce the value of ad inventory. Traffic Shaping plays a crucial role in filtering out this invalid traffic, preserving the quality of ad impressions. By leveraging advanced tools and technologies that detect and block suspicious traffic, such as bots or click farms, advertisers and publishers can ensure that their ad campaigns only reach real, high-quality users. Managing IVT not only protects budgets but also maintains the integrity of ad inventory, ensuring that advertisers get the most value from their campaigns.

How Traffic Shaping Boosts Ad Performance

Think of Traffic Shaping as a GPS for your ads. It ensures that ads reach the right people at the right time. By filtering out irrelevant traffic and focusing on users most likely to engage, it not only saves money but also boosts click-through rates (CTR) and conversions. This not only enhances ad performance but also improves the overall user experience. By targeting users based on browsing history, location, and device type, advertisers can deliver more personalized ads that drive even greater engagement.
Traffic Shaping Workflow
Traffic Shaping Workflow

Beyond just improving user experience and ad performance, Traffic Shaping also benefits ad tech partners. For Supply-Side Platforms (SSPs) like AlgoriX, it enhances bid competition by controlling which ad slots are made available. This increased competition drives higher bids, resulting in better yield from SSP partnerships. It also enables smarter inventory allocation, ensuring that the right impressions are sent to the right SSPs, especially during high-demand periods.

For Demand-Side Platforms (DSPs), Traffic Shaping offers curated access to high-quality inventory. This targeted approach enables DSPs to offer more valuable placements to their advertisers, which leads to better campaign performance. By refining the exposure of your inventory to DSPs, you help them target the most relevant users, improving engagement and campaign success.

How to Improve the Efficiency of Traffic Shaping

To enhance the efficiency of Traffic Shaping, ad tech platforms need to rely on advanced tools and strategies. Below are some tools to enhance Traffic Shaping.

Leveraging AI and Algorithms
AI-powered algorithms play a key role in Traffic Shaping by evaluating impressions in real time, considering factors like relevance, bid value, and audience targeting. These advanced algorithms enable SSPs to prioritize high-value impressions, ensuring they are sent to the most relevant DSPs. By doing so, they maximize the chances of successful bids and improve inventory quality. This approach helps streamline the ad request process, reduces wasted traffic, and optimizes overall performance in programmatic auctions.

Using Header Bidding Solutions Like Prebid
Prebid is an open-source header bidding solution that plays a crucial role in optimizing Traffic Shaping. By enabling publishers to send ad requests to multiple demand sources simultaneously, it ensures that only the most relevant ads are served to users, improving engagement and reducing wasted impressions. This integration gives publishers greater control over ad inventory by allowing them to manage which demand sources receive requests based on their performance. AlgoriX is working with Prebid.org to boost its adoption and support global developers in integrating Prebid-based solutions.

Supply Path Optimization
Supply Path Optimization (SPO) is another critical component in improving the efficiency of Traffic Shaping. It streamlines the programmatic ad auction process by reducing the number of intermediaries between advertisers and publishers. By cutting out unnecessary intermediaries, SPO ensures that bids are placed on the most relevant and efficient inventory, making ad spend more effective.

When integrated with Traffic Shaping, SPO allows for more targeted ad delivery. Traffic Shaping ensures that only the most relevant impressions are sent to DSPs, while SPO optimizes the supply chain, ensuring that those impressions come from the most efficient and direct paths. This reduces friction in the auction process, leading to better bid competition, improved inventory quality, and higher returns for both SSPs and DSPs.

Conclusion

As the ad tech landscape continues to evolve, AlgoriX is leveraging Traffic Shaping with technologies like Prebid and AI to maximize efficiency and deliver the best possible value for both publishers and advertisers. These innovations ensure precise targeting and optimized ad delivery, creating a more transparent and effective advertising ecosystem. If you’re interested in learning more about how AlgoriX can enhance your strategy, contact us here.

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Pranav Kataria

Senior Director, Programmatic Strategy

As the Senior Director of Programmatic Strategy, Pranav brings over 8 years of experience in the adtech industry working with Publishers, DSPs, Agencies, and Advertisers from global regions to improve their monetization, performance, and strategies. With great understanding of the mobile market, his expertise lies in analytics, account management, strategy, and ad sales. With this refined skill set, he brings customer-centric mindfulness that enables growth and innovation.

Before joining AlgoriX, his keen business perspective and skills have earned him opportunities to work across different organizations and verticals in the advertising ecosystem; be it improving the processes, sales enablement, and managing client relationships.

Ray Xia

VP, AlgoriX Partner Studio

Ray Xia was a mainstay at Tencent Games, having worked at the company for 13 years. There, he took on various roles including backend developer, application development manager, and game producer. During this time, he actively participated in the development and operation of popular titles such as QQ Pet, QQ Pet Fight, and games involving the Naruto franchise. To date, these games have over 10 million daily active users. Through this rich well of experience he has accumulated covering all aspects of game development and operation, he aims to spearhead more creative endeavors via AlgoriX Studios.

Naomi Li

VP, Research and Development

Naomi Li has a decade’s worth of experience in research and development for the adtech industry. At present, she is responsible for the overall direction of AlgoriX’s R&D efforts, which include product planning, technical architecture design, and talent training.

Frederic Liow

Chief Revenue & Operations Officer

A veteran in the digital advertising industry, he began his career during the early days of the dotcom era. To date, his passion for the digital industry is still as strong as ever (and getting even stronger). Spanning twenty years of his digital career, he has worked for leading companies like Nielsen, MRM McCann, Omnicom Media Group, Millward Brown and Smaato. Currently, Frederic is the revenue officer for AlgoriX spearheading global revenue growth, business expansion and strategic partnerships. He has set up and built AlgoriX’s global mobile ad exchange, hiring talents, establishing best practices, and injecting global industry standards into the company. Prior to his current role, he was the Head of Demand for Smaato, overseeing the demand business and operations in APAC. Frederic is currently based in our Singapore HQ.

Xinxiao Guo

Chief Operation Officer

Equipped with a decade’s worth of experience in global product operation as well as a deep understanding of emerging markets, Xinxiao brings her expertise in mobile traffic monetization and programmatic advertising to the table. Before her role at AlgoriX, she was a core member of iQIYI’s research and development unit. After that, she moved to Baidu as Head of Programmatic Advertising.

At present, she is AlgoriX’s co-founder and Chief Operation Officer. Together with the team, she aims to help game developers effectively reach global audiences and implement better monetization strategies.

Ruiz Xie

Chief Executive Officer

With nearly 20 years of business experience, Ruiz Xie founded AlgoriX with the vision of creating a global advertising platform and entertainment ecosystem. Through AlgoriX’s services, he aims to create a more inclusive tech ecosystem by providing customized solutions that meet the needs of businesses at every stage. At the same time, through AlgoriX Studios and its third-party partner studios, the company is currently bringing to life a greater goal of providing a comprehensive entertainment platform for people worldwide, which covers games, IP, comics, movies, and more. At present, he leads nearly a hundred employees with concrete plans to expand the company by establishing more offices worldwide.