Ydnt provides a cloud‑based platform that aggregates campaign data from major demand‑side platforms into a unified dashboard and applies real‑time, rule‑based and machine‑learning bidding to meet ROI targets. The system automatically reallocates budget across channels based on predictive performance while offering API access, customizable reporting, and enterprise security controls for media agencies and in‑house marketing teams.
Funding
Funding not disclosed
Founders
Product
Problem
Advertisers operating across multiple programmatic channels often face fragmented data, manual bid adjustments, and delayed performance insights, which lead to inefficient budget allocation and lower return on ad spend (ROAS). Integrating disparate demand‑side platforms (DSPs) adds operational overhead and makes real‑time optimization difficult.
Solution
Ydnt delivers a cloud‑based platform that consolidates campaign data from major DSPs into a single interface, providing continuous visibility into key performance indicators. The system applies automated bidding algorithms—both rule‑based and machine‑learning models—to adjust bids in real time based on predefined ROI targets. Cross‑channel budget optimization reallocates spend toward higher‑performing inventory while respecting pacing constraints. Users can configure custom alerts, generate granular reports, and export data via RESTful APIs for downstream analytics or attribution systems. Role‑based access controls and audit logging ensure compliance and secure collaboration across teams.
Target Audience
The primary users are media agencies and in‑house brand marketing teams that manage large‑scale programmatic campaigns across multiple DSPs and require automated spend optimization.
Features
- Unified dashboard that aggregates impressions, clicks, conversions, and ROAS from multiple DSP integrations (e.g., The Trade Desk, DV360, Amazon DSP)
- Sub‑second real‑time analytics engine powered by stream processing (Kafka, Flink) for immediate performance monitoring
- Automated bidding engine with configurable rule sets and reinforcement‑learning models that optimize bids against ROI thresholds
- Cross‑channel budget allocation optimizer that dynamically shifts spend based on predictive performance forecasts
- Open API connectors and webhooks for bid updates, data ingestion, and integration with third‑party attribution platforms
- Customizable reporting templates and scheduled email alerts for KPI deviations
- Enterprise‑grade security features including role‑based access control, SSO/SAML support, and immutable audit logs
- Scalable cloud architecture (Kubernetes, auto‑scaling) to handle high‑volume programmatic traffic