How it works

  • 1
    Page analysis Page analysis

    1Page analysis

    Upon loading, Browsi analyzes and maps the page structure in real-time to detect content composition, images, text length, paragraph structure, existing ad units, monetization partners and more. Its findings, along with user metrics and behavioral data, are sent back to the engine for ad layout and viewability prediction.

  • 2
    Ad placement creation Ad placement creation

    2Ad placement creation

    Using machine learning, the highest viewable ad layout is suggested. Viewability prediction per placement is then ready to be used.

  • 3
    Connection with the publisher’s ad server Connection with the publisher’s ad server

    3Connection with the publisher’s ad server

    • A

      Requesting publisher demand, per viewability

      Each Browsi placement sends in real-time its predicted viewability per impression. The publisher’s ad server can then pair it with the right advertiser for increased revenue and reduced ad waste.

    • B

      Embedding the impressions

      Browsi’s engine will embed successful impressions exclusively, leaving no blank spaces on the page.

    • C

      Tracking placement viewability

      Impressions (yes, all 100% of impressions) are tracked for viewability and used to fine-tune the prediction model.

  • 4
    User engagement benchmarking User engagement benchmarking

    4User engagement benchmarking

    User behavior metrics like scroll depth and velocity, article bounce rate, time on page and more are benchmarked to guarantee user experience is not compromised.

  • 5
    Ongoing page optimization Ongoing page optimization

    5Ongoing page optimization

    As traffic to page increases, the AI learns and improves its ad layout and viewability prediction. Publishers can also easily deploy any custom viewability campaign or ad layout strategy they need.

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