Automate, organize, and use your data
A fully managed marketing data platform for businesses without a analytics engineer to build it.
Marketing platforms
Slate connectors
Ingest, validate and normalize your data on a reliable pipeline.
Slate-managed Postgres
Secure, scalable and fully managed database layer.
Encryption at rest and in transit
Built for growth and performance
Backups and monitoring
We handle the infrastructure
Slate dashboards, My Data, reports, alerts and Google Sheets
The problem is not that marketing teams lack tools.
The problem is that nobody owns the number between the tools.
Platform exports never quite match
Manual corrections live in side spreadsheets
Metric definitions drift across teams
Final reports are hard to defend
Slate gives marketing teams a controlled layer.
Imports, edits, reviews, reconciliation, approvals, and exports all happen with a record behind them.
Aggregate marketing data
Keep ad platforms, analytics, ecommerce, lifecycle, CSV uploads, and manual entries in one controlled workspace.
Normalize editable records
Turn imported rows into user-facing tables your team can review, correct, label, and explain.
Calculate metrics in Slate
Derive CTR, CPC, ROAS, MER, AOV, and other metrics from raw/base values instead of trusting stale exports.
Prevent silent overwrites
Catch duplicates and conflicts before they distort downstream reports.
Require correction context
Corrections are explicit, reasoned, and visible to the team.
Track every material change
Audit entries preserve actor, timestamp, source, date, old value, new value, origin, and reason.
Export clean reports
Send trusted records to CSV or Google Sheets as an output for existing workflows.
Bring data in. Review it. Export records you can defend.
Slate sits between messy marketing systems and final reporting so every number has a source, status, and history before it leaves the workspace.
Connect or create sources
Connect marketing platforms, import CSVs, or add manual tables when a source has no API.
Import and normalize records
Capture raw records and turn them into consistent tables with shared dimensions and metrics.
Review validation and conflicts
Preview unknown sources, duplicate rows, missing labels, and conflicting values before commit.
Correct with required context
Every edit explains what changed, why, and who approved it.
Export to Sheets or CSV
Move clean, defensible records into reporting workflows.
Every finalized number has a trail.
Keep your existing reporting workflow. Put a controlled, auditable marketing data layer underneath it.
| Tool | Where it breaks down | Where Slate fits |
|---|---|---|
| Google Sheets | Flexible but easy to fragment, duplicate, and overwrite without history. | Keeps data governed before Sheets receives a clean export. |
| Connector tools | Good at API pulls, weak on manual uploads, corrections, labels, and review states. | Combines synced platform data with controlled manual data and editable tables. |
| BI dashboards | Display numbers after the source data is already trusted or already broken. | Controls the data layer before downstream dashboards consume it. |
| Revenue reporting systems | Built for downstream business reporting, not source governance. | Makes marketing data defensible before it moves into reporting. |
Make every marketing number defensible.
Bring imports, manual corrections, calculated metrics, audit history, and Google Sheets exports into one controlled workflow.