How data ingestion works
Connect once. Every platform talks.
Plug in your tools and every API, file and stream is absorbed, validated and staged. No reformatting required.
How many hours a week does someone spend reformatting the same export?
- A different spreadsheet format from every platform and vendor
- Schema changes silently break a report nobody notices for weeks
- Pixel events pile up faster than dashboards can query them
- No record of which load produced which number
- One mapping layer that every source, old or new, runs through
- Schema changes are flagged for review instead of dropped silently
- Pixel traffic rolls up on a schedule so query cost stays flat
- Every load writes a lineage row back to its source
Watch scattered sources become one clean feed
Platforms, files, warehouses and pixels land in one pipeline with schema checks, retries and a visible run history.
- Prebuilt connectors for the platforms your teams already buy
- Failed rows are quarantined, not silently dropped
- Every load writes lineage so numbers can be traced back
Six ways data gets in without a spreadsheet fight
Each capability ships enabled. Nothing here is a services engagement.
PLUG IN YOUR PLATFORMS
Pre-built connections to every major tool.
- Pre-built adapters for advertising platforms, CRMs and data systems
- Secure authentication with automatic token management
CAPTURE EVENTS AS THEY HAPPEN
Real-time data, zero delay.
- Accepts real-time event payloads from any connected system
- Schema validation on arrival with automatic retry on failure
NO SYSTEM LEFT BEHIND
Drag, drop, done.
- Upload CSV, XLSX and JSON files directly
- Automated column mapping, encoding detection and dedup on ingest
PRIVACY-SAFE FROM THE START
No raw PII ever enters the platform.
- Records imported with hashed identifiers only
- Compliance built into the architecture, not added afterward
SUB-SECOND SIGNAL CAPTURE
Stream data at the speed it happens.
- Consumes event streams from popular message brokers
- Buffers, batches and persists at speed without dropped events
HUMAN-IN-THE-LOOP INPUT
For the data that lives in people's heads.
- Structured forms for offline data and field notes
- Validation rules enforce quality at the point of entry
From raw source to ready in five governed steps
Every stage is visible, so a stalled load is easy to find and fix.
Four jobs it pays for in the first quarter
Replacing the weekly export ritual
Platforms sync on their own schedule instead of someone downloading a CSV every Monday.
First-party pixel migration
Site and app traffic lands in the same pipeline as platform data, ready for the same governance.
Bringing in a legacy CRM export
A stale spreadsheet gets mapped once and every future export inherits the same rules.
Adding a new market or brand
New sources reuse existing connectors and mappings instead of starting the integration from scratch.
Questions buyers ask
What can we connect on day one?
Major ad and analytics platforms through their APIs, flat files such as CSV and XLSX, and your own site or app traffic through PixelBridge. Anything with an export can be mapped.
What happens when a source changes its schema?
The mapping layer holds the contract. New or renamed columns are flagged for review rather than silently dropped, so a vendor change does not quietly corrupt a report.
How is pixel traffic handled at volume?
Events land in partitioned storage and are rolled up hourly and daily. Reporting reads the rollups, so query cost stays flat as event volume grows.
Can we see where a number came from?
Yes. Every transform writes a lineage row, so any figure in a report or deck can be traced back to the load that produced it.
Send us one messy export
Most teams start with a spreadsheet nobody trusts. We map it live, show the validation report, and you keep the mapping.