RTB Optimization
Use a bidder layer developed specifically for Bidgorithm workflows to evaluate, route, and tune traffic against speed, fit, and performance signals.
Bidgorithm helps SSPs and direct advertisers scale through RTB optimization, traffic arbitrage, AI-powered QA automation, anti-fraud filtering, and fast routing across CTV, in-app video, and in-app banner environments.
RTB Layer
<80msPilot targetQA Automation
AIInternal checksFormats
CTV+Video, bannerIVT Risk
FilteredBefore scaleBidgorithm combines RTB optimization, traffic arbitrage operations, internal QA automation, and anti-fraud filters to help partners scale only the traffic paths that show quality.
Use a bidder layer developed specifically for Bidgorithm workflows to evaluate, route, and tune traffic against speed, fit, and performance signals.
Run automated checks across traffic flow, conversion behavior, suspicious patterns, and source consistency before committing to broader scale.
Focus budgets on traffic paths with stronger ROI potential, cleaner funnel behavior, and controlled risk across direct response verticals.
Bidgorithm is designed around a simple operating principle: every traffic path should be checked, filtered, measured, and optimized before it earns scale.
Our stack combines a custom bidder environment, AI-assisted QA checks, internal fraud filters, and performance feedback loops for campaigns that depend on speed and conversion quality.
Bidgorithm helps traffic suppliers, SSPs, app publishers, and CTV owners route inventory through QA automation, filters, and performance-led optimization.
Advertisers and agencies can work with Bidgorithm to test traffic sources, reduce waste, and optimize toward ROI across selected performance verticals.
Early-stage does not have to mean loose. Bidgorithm is positioned around controlled pilots, transparent supply expectations, and practical safeguards before traffic is scaled.
View Trust ApproachWe prioritize CTV, in-app video, in-app banner, and selected direct response verticals where QA automation and filtering can protect ROI.
Start with a focused partner review, validate traffic flow, apply QA automation, and scale only where the performance path makes sense.