Data Solutions for AdTech


We offer technical experts for managing data at scale. This is of paramount importance in the AdTech industry because of the centrality of data to modern advertising as well as the sheer volume of data being processed. With rapidly changing technologies and compliance rules, the need for a better understanding and activation of your first-party data is more important than ever. 

Our engineers create custom data solutions for industries ranging from AdTech to brands to media and publishing, enabling organizations within those sectors to make better use of their own and external data and transform it into revenue opportunities.



  • Data Integration, Analytics, and Activation

Specific experience includes

  • Managing privacy and consent

  • Creating custom audiences by combining first-party demographic and behavioral data

  • Helping publishers, brands, and retailers move away from selling pixels and toward activating their data directly

  • Consuming and aggregating real-time data at scale to power data science teams

  • Connecting, integrating, and activating first- and third-party data


Data Unification

Develop, integrate, and aggregate data from various sources and devices, providing a more comprehensive view of consumer behaviors and trends. Develop automated data mapping and classification, streamlining the process of organizing and categorizing vast amounts of data.

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Data Integration

Integrate with emerging data sources, such as IoT and new digital platforms, to stay ahead in data collection and analysis.


Data Quality

Use AI for predictive analytics to forecast ad performance, AI bidding strategies to adjust campaigns, and machine learning algorithms to continuously improve data quality, ensuring accuracy and reliability of the data used for targeting and personalization.


Data Orchestration

As first-party data becomes more and more critical, it is imperative for companies to not only connect to and aggregate data to understand it; they also need to set up the necessary applications and infrastructure to automatically take action on it instead of relying on third-party applications or partners. In this white paper, we discuss the ins and outs of what we mean by data orchestration and how our consultants can help build the processes and applications to take action.


Key Elements for a Successful Data Project in AdTech

  • US-based Solution Architects with 10+ years of experience in developing ad solutions to help drive product ideas and architecture

  • Development team of 100+ that is familiar with AdTech needs, vocabulary, and implementations

  • Pre-built software components that leverage Lineate DataSwitch and Data Octopus to accelerate time to market

  • 24/7 support and monitoring—constant measurement of business indicators and trends to quickly alert to potential changes in market and business opportunities

Key To Success

Our Process

  1. Meet with Lineate Solution Architects and Client Partners to define goals and have us craft an implementation plan.

  2. Kick off the project, often starting with a small engagement (two to three months) to prove the concept. No low-level handholding required.

  3. Meet regularly with the team lead and project administrators to ensure end goals remain front and center. There is a separate escalation path through US-based Client Partners, should a separate channel be needed.

  4. Iterate through rapid deliverables (typically every two weeks) to ensure we are aligned and rapidly incorporate feedback.

  5. Receive automated deployment, monitoring, and 24/7 Tier 3 support.