Understand

Data you can understand.

The data traq collects anyway, made as accessible as possible: as a dashboard, as an export into your own systems, or as a question in plain language. So that analysis turns into decisions.

Launching

Ask your data a question.

Type the question the way you would ask a colleague: which campaign brought the most revenue last week? The answer comes from your own events, with the query it ran shown next to it. Insights without SQL and without building a dashboard.

  • Questions in plain language, answers from your own data
  • The underlying query is shown with every answer
  • Same data as the dashboards and the export
ask
Which campaigns led to purchases last week?
Campaign A41
Campaign B27
Campaign C9

select campaign, count(*) from events where name = 'purchase' and ts > now() - interval '7 days' group by 1

Dashboards you do not have to build.

Event volume, conversions and revenue per site, over time and ready to read. Agencies see every client in the same view. The classic route, when an overview is all you need.

  • Events, conversions and revenue over time
  • Per site, per period, per event type
  • Every client in one view for agencies
events · 30 days
Google AdsForwarded
MetaForwarded
TikTokPaused

Export into your own systems.

The collected events land in a documented format in your own storage, and from there in your warehouse or BI tool, Looker for example. For teams that already have their analysis and only need the data.

  • Raw events in a documented format
  • Destination: your own bucket, warehouse or BI tool
  • Joinable with shop, CRM and cost data
export
traq
events/2026/10/16.jsonl
events/2026/10/17.jsonl
events/2026/10/18.jsonl
your bucketstorage

Collect once. Forward everywhere.

For Swiss companies that run their own tracking, and for the agencies behind them.