Feature
A data widget in Oviond is a query you build by hand: pick the source, metric, and dimension, then filter, compare, and format it so the report answers the question that client keeps asking.
Why custom metrics and queries
A reporting tool with a fixed KPI list eventually says no. This one hands you the field catalog.
Choose from a source's full catalog of metrics and dimensions rather than a shortlist, and split any figure by the breakdown that makes it useful.
Move between tables, scorecards, and line, bar, column, area, pie, donut, funnel, and map charts without touching the query underneath.
Define KPIs from formulas, track targets with a gauge, and upload your own dataset when a number lives outside every connected platform.
How it works
Every chart and KPI in Oviond resolves to the same query: one data source, one data view, the metrics you picked, and an optional dimension to break them down by. Only sources linked to that client are selectable, so a widget can never reach data it shouldn't.
Metrics and dimensions come from each platform's own field catalog, which means the options you see are the ones that source genuinely supports for that view — not a lowest-common-denominator list.
Pick a connected source, the metric you want to measure, and an optional dimension to split it by — campaign, day, country. Fields a provider has retired stay selectable but are flagged so you can choose a current equivalent.
Table, scorecard, area, line, bar, column, pie, donut, funnel, and map. Switch between them and the data configuration stays exactly as you set it.
Narrow a widget with equals, not equals, contains, does not contain, starts with, ends with, and greater or less than comparisons, combined with and/or logic.
Show the previous period's value, the percentage change, or both on tables and on line, area, and bar charts. Any widget can also override the report's date range — useful for a year-over-year tile.
Rename a metric, format it as a number, decimal, percentage, currency, or duration, and set whether a rise is good or bad — so a falling cost per lead reads as a win instead of a red arrow.
Define a KPI from a formula such as revenue divided by sessions, measure progress against a target with a gauge, or upload a CSV or JSON dataset of up to 10,000 rows for figures no platform holds.
Three answers that stop being no.
A fixed KPI list you can't extend
Any metric and dimension the platform exposes.
Exporting to a spreadsheet to do the math
Calculated metrics defined once, charted like any other.
Cost metrics turning green when they rise
A per-metric indicator, so falling costs read as wins.
Choosing the numbers is one step. These three are what happens to them next.
Drag the widget onto the grid, size it, title it, and surround it with the headings and commentary that explain what the client is looking at.
Scheduled reports re-render before they go out, so filters, comparisons, calculated metrics, and goals are all recomputed for the new period.
One call describes a source's data views, metrics, and dimensions, so an AI assistant or a script configures widgets from the real catalog instead of guessing field names.
Each of the 70+ marketing data sources Oviond connects publishes its own metrics and dimensions, and the widget builder reads that catalog directly.
Open a ready-made template and inspect the widgets inside it — a working example of which metrics and dimensions pair well.
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Track sessions, users, and traffic sources with insights by country, device, age, gender, and channel performance analysis
Analyze e-commerce sales, conversions, and traffic insights with interactive, real-time performance metrics.
Monitor website traffic, user demographics, and page performance with insights from Google Analytics 4, Search Console, and Page Speed Insights.
Track and compare reach, clicks, impressions, and CTR across Google, Facebook, Instagram, LinkedIn, and Twitter Ads over time.
Track impressions, clicks, CTR, and ad spend across Facebook, Instagram, LinkedIn, TikTok, and Twitter Ads with insights on engagement & conversions.
Fields, filters, formulas, targets, and your own data — what a widget can be told to do.
A data query is the configuration behind a widget: the connected data source, the data view, the metrics you selected, an optional dimension to break them down by, and any filters. Every chart, table, and KPI in a report is one of these.
Whatever the source publishes. Each platform exposes its own catalog of metrics and dimensions grouped by data view, and a field is valid inside its own view. Fields the provider has retired remain selectable so existing widgets keep working, but they are flagged so you can pick a current equivalent for anything new.
Yes. A calculated metric is a formula that combines metrics from your connected sources with operators and constants — revenue divided by sessions, or clicks divided by impressions as a percentage. Once saved it appears in the metric picker alongside the source's own fields.
Yes. With a comparison period active you can show the previous value, the percentage change, or both. Tables and line, area, and bar charts render side-by-side comparisons; pie, funnel, map, and scorecard widgets do not, so the option is hidden for them.
Yes. Filters take a field, an operator, and a value — equals, not equals, contains, does not contain, starts with, ends with, and the greater or less than comparisons — and several filters can be combined with and/or logic.
Yes. Every widget inherits the report-level date range by default and can override it, which is how you put a year-over-year tile next to a current-month chart on the same page.
Set the metric's comparison indicator to lower is better. Cost, cost per click, and bounce rate then show green when they fall and red when they rise. The arrow and the sign always follow the real movement — only the color changes.
Yes. Upload a CSV or JSON file as a custom dataset — offline sales, a lead list, a forecast — and map its columns to a widget's metrics and dimensions. Datasets are account-level, so any client's report can use one, and each holds up to 10,000 rows.
Yes. A goal pairs a metric query with a target value and an operator — at or above, equal to, or at or below — and renders as a gauge. Static goals measure the metric against a fixed target; change goals measure the movement over the period.
Queries decide what the report says. See marketing reporting for the recurring deliverable and marketing dashboards for the live view, white-label reporting for how it is styled, and client report sharing for how it reaches the client. Coming from another tool? See all comparisons.
Build the query, format the figure, and give each client the KPI they keep asking about.
