Analytics

The Analytics page gives you a time-series view of recommendation activity and user engagement. You can explore pre-built metrics, build custom charts, and drill down to individual requests or sessions.

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Time controls

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Preset ranges

Click the date button in the toolbar to choose a preset range:

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Custom range

Select Custom from the date dropdown and enter a start and end date. Click Apply to load that window, or Clear to return to the previous preset.

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Back and forward

Use the arrow buttons to shift the current window backwards or forwards by one period. For example, if you are viewing “Last 7 days”, clicking back loads the 7 days before that.

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Granularity

The Granularity dropdown controls how data is bucketed along the time axis: Minute, Hour, Day, Week, Month, Quarter, or Year. The system automatically coarsens the granularity if the selected window would produce more than 1,500 data points.

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Context filter

Use the Context dropdown to restrict all metrics and charts to a specific context. Select All contexts to see aggregate data across your entire account.

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KPI cards

The row of cards at the top of the page shows totals for the current window alongside a percentage change versus the equivalent previous period.

• Recommendations Served: total number of recommendation responses returned by the API.
• One card per event type you have defined, showing the total count of that event in the current window.

A green value indicates an increase versus the previous period. A red value indicates a decrease. A value of 0% means the metric was unchanged or there is no previous data to compare against.

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Custom charts

The widget grid lets you compose your own charts from any available metric.

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Add a chart

1. Click Add chart in the top toolbar.
2. In the widget builder, choose a chart type: Line, Bar, or Area.
3. Select the metric to plot from the dropdown. Available options are Served plus one entry per event type.
4. Optionally enter a custom label. If you leave it blank the metric name is used.
5. Click Add.

The chart appears in the grid and displays data for the current time window and filters.

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Remove a chart

Click the close button in the top-right corner of any chart widget to remove it.

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Reset layout

Click the reset icon in the toolbar to remove all widgets and restore the default layout, which shows a single Recommendations Served line chart.

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Advanced filters

The Advanced dropdown lets you narrow all data to a specific request, session, or user. When any advanced filter is active, the toolbar shows an On badge next to the Advanced button. Clear individual fields and click Apply to remove filters. These filters are useful for debugging a specific recommendation request or tracing a single user’s journey through your product.

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Interpreting results

A few patterns to look for: High serve count, low click events: the engine is returning results but users are not engaging. Review your context filters and influence rules. You may be filtering too aggressively or promoting items that do not resonate. Spikes in a specific event type: cross-reference with product changes or campaigns deployed around the same time. The session filter can help isolate whether a spike comes from real user behaviour or test traffic. Delta showing a large drop after a model change: compare the current model’s performance against the previous window, which pre-dates the training run. If engagement dropped, consider reverting the model from the Training Jobs page while you investigate.