Verticals
Built for commerce: many markets, many currencies, one set of numbers.
Zeroth is made for teams that trade across markets and channels. Here is what it does for each, and where to start.
Multi-market online
E-commerce and DTC brands
For brands selling online in several countries and currencies, where trading meets every Monday to ask what moved and why.
Start from
Questions it answers
- “Why did revenue grow 13% last week, and which market drove it?”
- “Did conversion drop in Germany, or did traffic?”
- “Are we on track for the month in each market, in constant currency?”
What you get
- Revenue, orders, AOV, conversion and returns defined once, by market and channel
- Like-for-like vs last year, aligned by weekday, per market's local dates
- Explain on every KPI: orders × AOV, then the markets and channels behind it
- Weekly digests to trading with the summary written from the numbers
Stores and online
Omnichannel and multi-market retail
For retailers who report on a trade calendar, compare against last year's equivalent period and plan against phased budgets.
Start from
Your own model; calendars, comparisons and targets are built in.
Questions it answers
- “How is period 7 tracking against budget and against the same period last year?”
- “Which regions are behind, and is it rate or mix?”
- “What happens to the comparison in a 53-week year?”
What you get
- Retail 4-4-5, 4-5-4 and 5-4-4 calendars with an explicit week-53 policy, plus fiscal calendars
- Targets phased from your budget so they sum exactly to the source
- Event-anchored comparisons for Easter, Black Friday and your own promotions
- Row-level access by market, region or any other scope
Paid and owned media
Marketing and performance teams
For teams who need spend, revenue and efficiency in one governed place, and want campaigns shown next to the numbers they may have moved.
Start from
Questions it answers
- “Did the paid social campaign coincide with the revenue uplift?”
- “Is ROAS down because of spend or because of conversion?”
- “Which channels are outside their normal range this week?”
What you get
- Spend, sessions, conversions and ROAS, with ratios recomputed from their components
- Campaigns, promotions and launches as chart annotations, from the Event Stream
- Anomalies flagged against forecasts, with events as possible explanations, not causes
- A chat that answers from governed metrics, so the numbers match the reports
Bring your hardest question.
Tell us which markets, calendars and sources you report on; we'll show it working on a realistic dataset and talk through what your install would need.