When a customer sees a message or advertisement that’s relevant, it doesn’t even register as marketing.

In the world of digital advertising and programmatic marketing, data has grown exponentially in both volume and importance. We have entered an era of data-driven marketing campaigns focused on audience engagement and one-to-one brand experiences.

At the heart of this data-revolution sits the data management platform (DMP), focused on collecting, managing and activating data. DMPs give clients the ability to centralize and manage their databases, analyze their marketing efforts, inform content management systems, and power advertising platforms.



  • Collect: collect data from web sites, databases, email marketing automation platforms
  • Manage: Expand what you know about current customers' habits, demographics, spending and buying intentions
  • Cross-device: Identify and reach consumers across screens for a true cross-device campaign 
  • Audience building: build complex audiences by selecting the desired demographics, content consumption, interests, and actions
  • Audience reporting: Contrast your audience against 1st and 3rd-party data sources to learn more about who they are and how to engage with them most effectively and cross-compare to demographics, and interests

Benefits publishers:

  • Monetize: sell audience data to interested third party's
  • Increase CPMs: Capture first-party audience data and enrich it with additional audience insights, to increase CPMs for both direct-sold and programmatic inventory.
  • Personalize: personalize the content on your web site to achieve more page views and better user experience.


Benefits advertisers:

  • Retargeting: Build customized retargeting campaigns based on specific activities and behaviors your consumer has taken online or offline, on any device
  • Campaign optimization: Identify audiences with the highest likelihood of engaging with your campaign or purchasing your product, while minimizing your campaign spend
  • Target ads to existing groups of customers to boost upselling campaigns, improve retention, and increase average spend.


Our platform provides ready-to-go components that can be tailored to your specific needs – with a pricing model that scales with your business. 



  • Data collection & normalization: Collect data about online user behavior, pull data from various platforms, combine and structure it into a common format, and match data from various channels.
  • Customer profile building: Build a single customer journey view (SCV) by merging data from various devices and sessions and connecting them with common identifiers.
  • Look-a-like audience modeling: groups of people who exhibit characteristics similar to those of the existing customers and are likely to be interested in the offers that the existing customers were interested in – and target ads to them.
  • Cookie syncing: Sync 1st-party cookies with a range of 3rd-party platforms such as demand-side platforms (DSP), supply-side platforms (SSP), ad exchanges and various marketing technology platforms.
  • Audience creation & export: Segment data based on a range of variables, export audience segments to other demand-side platforms.
  • Low-latency APIs: Pull data about your visitors in real-time to power the decisioning process, content personalization & more.


Platform core features:

  • Cross-channel, Cross-device, Cross-Screen for maximum flexibility and reach.
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  • Self-service UI: advanced UI to fully control all your daily operations. 
  • Open API: Our UI is built on top of our open API. Use automation tools to continuously optimize and fetch reports.
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  • Full transparency: Pull granular data for deep-dive performance analytics - opportunities, fill rate, view rate, bid rate, win rate, etc. All stats are available in our reports and can be used to optimize the buying process.
  • Real-time reporting and Dashboards: See trends and KPIs in a dashboard, use reporting to get all key data. 
  • Scheduled reports: Your KPI waiting for you in your morning email. Every day.
  • BigData Framework: Our Big Data Framework enables the real-time collection, processing, and transformation of source data. Processing petabytes of advertising event logs over a distributed cluster facilitates seamless analysis and the ability to quickly build audience segments. 
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  • Running in Cloud, media server Content distribution network - CDN