Audience and ad targeting platform development

Underpinned by multi-year adtech expertise, we help adtech vendors get a lead in their niche — by customizing and enhancing their solutions with innovative features.

Launching strong

We’re here to guide advertisers, media agencies, and publishers in understanding where to begin when crafting any audience targeting solution, as well as providing comprehensive development from the initial roadmap to rigorous testing and ongoing maintenance.

Growing fast

As a seasoned ad targeting company, we specialize in reinforcing any adtech ecosystem by implementing performance monitoring solutions, data-driven reporting systems, and effectively connecting and orchestrating all advertising channels and campaigns to deliver a higher ROI.

Evolving smart

We offer consulting services by auditing your current solution and recommending which aspects can be modernized or automated in the ad creation and placement process to free you up to concentrate on more strategic business goals or creative activities.

Addressing your most daunting challenges

Our adtech experts will get into the ins and outs of your business query to come up with the best ideas for improving your service offering. Here are the most common challenges we deal with:


“It’s hard to dissect the right IDs for each campaign due to fragmented data collection and measurements.”

Audience identity attribution and management

Oxagile’s response:

We can build a robust data infrastructure using advanced modeling techniques to gather and analyze a range of data types. We also facilitate the identification and tracking of individual devices or users across diverse applications and platforms, and integrate diverse measurement and matching approaches with unified presentation of results to provide holistic insights into any audience.


“Scaling our targeting in automatic mode is hindered by the risk of having ads appear alongside inappropriate content, which could potentially harm our brand reputation.”

Content analysis and context identification

Oxagile’s response:

We train and integrate AI-based NLP models to analyze content and detect the tiniest linguistic and sentiment nuances on any webpage. We also implement AI-powered web scraping to gather real-time data from across the web, allowing advertisers to track changes in content and react quickly to advertising opportunities.


“Placing ads in locations where they might disrupt visuals or storylines of videos, spoiling the viewer’s experience, poses a major drawback.”

Scene-based ad insertion, including SSAI (or DAI)

Oxagile’s response:

Our AI-driven context and pattern analysis guarantees accurate identification of images and audio in videos, preserving narrative integrity by avoiding misplaced ads. Additionally, DAI enables precise targeting, ensuring tailored ads reach the right audiences, thereby optimizing both advertiser ROI and content provider revenue.


“Manual campaign monitoring and managing tasks like selecting placements are time-consuming and resource-intensive, hindering our reach and scalability.”

Ads placement and optimization

Oxagile’s response:

We help create the essential technological infrastructure for automated ad placements, including platforms for real-time bidding and data collection. Additionally, we optimize campaign performance by setting and analyzing metrics and data insights, integrating algorithms to adjust targeting parameters, creative elements, and bidding strategies.

Identity management with first-party and third-party data

We leverage our cross-domain knowledge around big data, business intelligence, and machine learning to build tailored audience targeting platforms from scratch or customize existing solutions.

Our data science engineers use advanced mechanisms to collect data across millions of online destinations and perform comprehensive data processing. Then, based on an array of key parameters — like age, geography, annual income, preferences, browsing history, location, etc. — the data is automatically transformed into unique, real-time user behavior patterns that are key to serving personalized ads.

DMP solution development

Whether you need to develop enterprise-grade data management platform software from the ground-up or optimize an existing DMP solution by adding new features, we’re here to assist you. Experts in big data and business intelligence, we’ll help you easily collect, store, and segment audience data — to get valuable insights and target specific audiences with more precision or turn the challenges of cookieless future into new possibilities.

Custom solutions for contextual ad targeting

Minimizing user churn rate

In the advertising world, more context means more efficient ad inventory management and in turn more revenue. We engineer robust audience targeting platforms empowered with computer vision capabilities for in-depth context analysis and smart ad insertion.

  • Identifying relevant video scenes and textual context
  • AI-powered ad insertion while adapting ads to scene content
  • Dynamic ad insertion (DAI) for live linear and VoD
  • Making ads less intrusive and avoiding scene splitting
  • Prevent ads from appearing in inappropriate or illegal context

Build a tailored audience and ad targeting platform

We use our cross-domain knowledge to address your most complicated adtech challenges. From innovative context identification solutions and platforms for audience data collection and segmentation to smart ad placement and optimization, we’ve got your back.

Increase your client base by offering next-gen ads optimization

We help adtech vendors and large-scale online publishers enhance their solutions with innovative ML mechanisms to maximize the value of ad inventory and scale viewer outreach.

Dynamic creative optimization

Take your adtech solution to the next level with AI-based dynamic creative optimization. Leverage historical data as well as real-time data from DMPs and other sources to predict what ads are more relevant for a particular placement and optimize creatives on the fly.

Multi-touch attribution

Tap into behavior data to help your users understand how conversions are made. Enrich your software with adveritising attribution capabilities that will help define what ads turn promo efforts into cash and improve budget planning.

Benefit from our cross-domain knowledge

Still curious? Great! Here are answers to common questions we get

What are the most effective ways of using ad targeting software?

The optimal ad targeting software provides a blend of contextual, behavioral, and demographic strategies, leveraging data insights for precise audience segmentation. To enhance ad relevance, it’s also vital to incorporate temporal, geolocation, and device-specific targeting. And to further optimize campaign performance, one might want to take advantage of retargeting tools and those addressing ad blocker audiences.

What advantages does an ad targeting solution give?

An ad targeting solution offers personalized advertising, enhancing customer engagement and retention while boosting click-through rates and overall revenue. By tailoring ads to individual preferences, brands improve brand perception and loyalty. Targeted advertising optimizes resource allocation, focusing efforts on high-potential audience segments and increasing return on investment. With options like contextual, behavioral, and social media targeting, brands can reach customers across various platforms effectively. Overall, ad targeting empowers brands to connect with consumers on a deeper level, driving business growth and success.

How does an ad targeting system work?

An ad targeting system operates on a complex interplay of data collection, analysis, and auction mechanisms to deliver relevant ads to users while maximizing revenue for advertisers.

It uses data from user interactions, including first-party website data and contextual information, to create profiles. Ad auctions then match ads with users based on relevance, determined by factors like demographics, browsing behavior, and more. Privacy concerns drive the shift towards transparent, consent-based data practices, with emerging technologies like browser APIs and the reliance on first-party data. By balancing relevance with privacy, these systems aim to deliver effective advertising while respecting user preferences.