Ebors provides a cloud‑native platform that consolidates performance data from major DSPs, social ad accounts, and programmatic exchanges into a real‑time dashboard. Its AI‑driven optimizer automatically reallocates budget based on predictive models and user‑defined rules, while offering attribution, anomaly alerts, and API integration for performance marketers and agencies.
Funding
Funding not disclosed
Founders
Product
Problem
Advertisers and media agencies often manage campaigns across dozens of ad networks and platforms, resulting in fragmented data, delayed performance visibility, and manual budget adjustments that erode return on ad spend. The lack of a unified, real‑time view makes it difficult to identify under‑performing placements and reallocate spend efficiently.
Solution
Ebors delivers a cloud‑native platform that aggregates performance metrics from major DSPs, social ad accounts, and programmatic exchanges into a single, real‑time dashboard. Its optimization engine applies rule‑based and machine‑learning algorithms to automatically shift budget toward high‑ROI inventory while respecting predefined caps and pacing constraints. Users can drill down into granular attribution data, set custom KPI thresholds, and receive actionable alerts when anomalies arise. The platform also offers API endpoints for seamless integration with existing martech stacks and supports role‑based access to align with agency workflows. By centralizing data and automating allocation, Ebors reduces the operational overhead of media buying and improves overall campaign efficiency.
Target Audience
The primary users are performance marketers, digital media planners, and agency teams that run multi‑channel paid‑media campaigns and require a consolidated view for budget optimization.
Features
- Direct connectors to Google Ads, Meta Ads, TikTok Ads, Amazon Advertising, and major programmatic exchanges for bidirectional data sync
- Real‑time KPI dashboards with customizable widgets for spend, CPA, ROAS, and view‑through metrics
- AI‑driven budget optimizer that reallocates spend based on predictive performance models and user‑defined rules
- Automated pacing and frequency caps to prevent overspend and audience fatigue
- Attribution modeling engine that normalizes cross‑channel conversions and supports multi‑touch attribution windows
- Anomaly detection alerts that flag sudden cost spikes, click‑through drops, or data latency issues
- RESTful API and webhook support for exporting data to BI tools, CRM systems, or custom reporting pipelines
- Enterprise‑grade security with SSO, audit logs, and granular permission controls