Campaign metrics that compute.

Generate campaigns, ad groups and daily performance where CTR, CPC, spend, CPA and ROAS are calculated from the underlying numbers, and each channel behaves like itself.

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The example

Five days of a fall sale across five channels

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

ctr = clicks ÷ impressions, spend = clicks × cpc, cpa = spend ÷ conversions and roas = revenue ÷ spend, on every row.
Channels behave differently: search converts best, video has the lowest CTR, email costs nothing per click.
Retargeting has the highest ROAS, as warm audiences usually do.
Daily numbers vary realistically around each campaign's level.

Built for Marketing & AdTech teams

Metrics that compute

Every rate and ratio is derived from its inputs, so dashboards reconcile.

Channel realism

Search, social, display, video and email each with their own typical ranges.

Attribution-ready

Campaigns, ad groups, clicks, sessions and conversions linked together.

Any time grain

Hourly, daily or weekly performance across a whole quarter.

How it works

From idea to dataset in three steps

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

Can I test my BI dashboards with this?

Yes. Because metrics compute correctly, dashboards reconcile, and anomalies can be added to test alerts.

Can I model attribution?

Yes. Generate touchpoints per user and conversions that reference them.

Can I use my own channel list?

Yes. Describe your channels and typical CTR and CPC ranges.