
AI-powered bid optimization for programmatic advertising
Scibids (now DV Scibids AI, part of DoubleVerify) is a customizable AI platform that automates and optimizes programmatic advertising campaigns across major DSPs. It uses machine learning to dynamically adjust bidding strategies against custom KPIs, delivering higher efficiency, better attention, and lower media costs.
Trains bespoke machine learning models per campaign to optimize toward any advertiser KPI.
Works across The Trade Desk, Google DV360, Xandr, Beeswax and other major demand-side platforms.
Proprietary metric combining fraud, viewability, cost and frequency to optimize only on verified quality inventory.
DV Algorithmic Optimizer uses attention signals to bid on impressions most likely to be seen and engaged with.
Ingests first-party, offline sales, and third-party data signals to shape bidding in real time.
Replaces manual trader work with autonomous optimization loops that adapt continuously.
Dashboards expose model decisions and performance lifts versus baselines.
Brands and agencies optimizing large programmatic budgets toward ROAS, CPA, or conversion KPIs.
Advertisers shifting from viewability to attention metrics as the primary quality signal.
Optimizing connected TV and online video campaigns where manual trading is impractical.
Retailers and DTC brands activating first-party and offline sales data inside DSP buying.
Tight integration with DoubleVerify's verification stack to keep spend on safe, suitable inventory.

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