Analytics & BI integrations that give every tool the same source data
RedTrack captures and structures your conversion data — then makes it available to whatever analytical surface your team relies on. Analyze inside the platform or route the same data to your BI tools, dashboards, and AI systems. Your data, your choice.
One data set. Every tool reads from it
Ad platforms, analytics tools, and reporting systems each apply their own attribution logic — so the source data never lines up across them. Adjusting reports to force agreement is a cycle that doesn’t end.
RedTrack captures conversion data independently and structures it into a single consistent record that doesn’t stay inside RedTrack. It flows into RedTrack’s own Analytics and AI Co-Pilot, your BI tools, your data warehouse, or any external system — all from the same data layer.
What this means in practice:
Structured data export:
Conversion-level logs with click IDs, revenue, attribution, cost, and campaign dimensions — ready for BigQuery, your data warehouse, or any BI layer.
Real-time API access:
Pull performance data programmatically, on your schedule, in the format your tools expect. No manual exports, no stale CSVs.
AI-ready event data:
Every conversion event carries enriched first-party identifiers — structured so AI systems can analyze patterns and model attribution without guessing at incomplete inputs.
Consistent attribution logic:
Attribution rules applied once, upstream. Every tool reading that data — inside or outside RedTrack — sees the same numbers across every channel and time period.
What analytics & BI integrations mean for you
Analysis looks different depending on how you work. RedTrack makes the same underlying data available regardless of what tools sit on top of it.

Kill and scale decisions grounded in a single data set
The difference between a winning offer and a burning budget is often hours — and that decision window closes fast when your data is scattered across platforms that disagree with each other. RedTrack gives you one consistent conversion record: cost in, revenue out, attributed by your rules. When that data flows into your reporting tools or custom dashboards, EPC, ROI, and CPA figures are built from what RedTrack tracked independently — not from what each network chose to report. Elimination decisions become defensible. Scale decisions become faster.

Richer analysis, without rebuilding your stack
Understanding which channels drive real customer value — not just last-click conversions — requires data that platforms can’t give you on their own. You need purchase revenue, LTV signals, and attributed touchpoints in one place, connected across the full customer journey. RedTrack captures that data at the source and makes it available to the tools where your team actually analyzes it: BI platforms, cohort tools, custom dashboards, AI systems. ROAS and LTV figures reflect what RedTrack measured — not what Meta or Google decided to count — so the analysis your team runs is grounded in data you own.

Standardized reporting across every client. Built on one data source
Agencies running multiple clients face a structural problem: every client has different platforms, different setups, and different reporting expectations — which means reporting gets rebuilt from scratch every cycle. RedTrack standardizes how conversion data is captured and structured across every account. Cost data, conversion records, and attribution all flow from the same source — so the reporting logic your team applies to one client applies to all of them. Whatever BI tools or dashboards sit on top, they’re pulling from the same underlying data layer. Client reports become consistent by default, not by effort. And when a client wants to verify a number, you’re pointing to a single traceable source — not reconciling platform exports.
Connect RedTrack to the tools your team already uses
RedTrack data is accessible via open API and structured exports — compatible with any analytics or BI platform that can consume a REST API or query a data warehouse.













