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CASE STUDIES

We are experts on all forms of TV data. From set-top-box to Smart TV data, we have created platforms to collect, aggregate, store, model, and visualize TV data. We understand the differences between OTT viewing data and MVPD data and have developed models to provide integrated reporting across all platforms.

Our in-depth knowledge of smart TV, OTT, and set-top-box data is unique in the industry, and we can provide strategy, modeling, and engineering solutions to process and integrate any TV dataset.

We have built some of the world’s largest real-time data processing pipelines and have expertise across AWS and open source technologies. We can plumb together the most complicated data systems to provide data directly to the hands of business users.

Our data pipelines are optimized for data throughput and also for queries so users no longer have to wait hours for reports to run and can provide ongoing management and optimization.

Our analytics consulting team develops custom predictive analytics models that can be operated on your own infrastructure without the need to license third party products or algorithms.

You find here a selection of use cases from our most recent projects.

REPRESENTATIVE MODELLING

Multiple views of customers were combined into a characteristics panel, delivering valuable input to advertisers and enabling new revenue streams.

COMBINING DATASETS

Customer had licensed both STB and smart TV datasets and wanted to combine the two together to have the best possible model.

Insourcing Attribution

Using our data science expertise we created a replacement attribution system leading to significant savings.

Sell Side D2C Cross Platform

We worked with a sell-side CTV company to demonstrate the value of adding a CTV element to a linear TV campaign, and specifically, how CTV could drive incremental campaign reach and conversion.

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Deductive is a global consulting firm providing data consulting and engineering services to companies that want to build and implement strategies to put data to work. We work with primary data generators, businesses harvesting their own internal data, data-centric service providers, data brokers, agencies, media buyers and media sellers.


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