Features built for traders
From raw platform data to normalized insights, every layer is designed to help digital marketers move faster.
Unified data foundation
Connect ad platforms and analytics once. Catalog data lives in Postgres while metrics stay in BigQuery for scale.
- Automated catalog sync for advertisers and campaigns
- Daily metrics pulls with guardrails for rate limits
- Consistent hierarchy across partners, advertisers, campaigns, ad groups, and lines
Semantic layer you control
Select the metrics and dimensions you care about, then normalize them across platforms for consistent reporting.
- Dev-configurable dimensions and metrics
- Canonical field mappings and versioning
- Preview normalization output before publishing
Insights that drive action
Daily summaries surface what moved, why it mattered, and what to fix before spend drifts.
- KPI baselines and incrementality windows
- Channel, format, and audience breakouts
- LLM-ready insights with human-readable context
Operations that stay in sync
Keep your campaign setup, KPI tracking, and channel mapping aligned as platforms evolve.
Advertiser orchestration
Map platform advertisers into workspace advertisers, set funnel stages, and track KPI baselines per brand.
Campaign governance
Map campaigns, define channels, and attach platform line items to keep execution aligned with strategy.
Dev controls
Manage API fields, normalization rules, and audit trails from one dev-only console.