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    Setting up a custom report

    Custom reports give you full control over data source, metrics, time periods, comparison periods, intervals, and graph visuals. The wizard has 4 steps — steps 1–3 are required, step 4 is optional.

    Path: Reports → + Create → New custom report

    Step 1 — Source

    Choose where the data comes from:

    Location

    Combined total across all sensors at the location (all entrances combined).

    Zones

    Data from a specific internal area — checkout, fitting rooms, ATM area, etc. Also where Adult/Children data appears.

    Entrances

    Individual data per entrance. Use when you have more than one entry point and want to compare them.

    Groups

    Multiple locations combined to return a single total (e.g. all stores in Denmark).

    Tags

    Multiple locations sharing a tag — returns separate results per location (unlike Groups which return a combined total).

    Step 2 — Metrics

    Select up to 5 metrics from six categories: Footfall, Sales, Queue, Demographics, Weather, and custom. See the Term explanation table article for full definitions.

    Step 3 — Periods & data setup

    1. Select a period — predefined (this week, this month) or custom via calendar. Enable Show prediction for ongoing periods to see a forecast.

    2. Set the opening hours time slot for the data.

    3. Optionally add a Compare period (last year, last week, etc.).

    4. Select a data interval — 15 min, 30 min, hourly, or daily.

    5. Select a value type — sum or average.

    6. Click Save and view report, or continue to Step 4 for chart customisation.

    Step 4 — Graph visuals (optional)

    Customise chart types per metric, assign separate Y-axes (recommended when combining metrics with very different scales, e.g. visitor count + temperature), and toggle additional overlays:

    • Show diff/index on chart — display difference or index values directly on the chart.

    • Show weather — overlay weather data on charts and tables.

    • Show events — mark calendar events on the chart.

    • Set target — add a horizontal target line.

    • Skip sources with empty data — hide sources with no data for the period.

    • Exclude 0s in average — removes zero values from average calculations (useful for closed days).

    Best practice: Use hourly intervals for operational decisions. Use daily or weekly for trend analysis. When combining metrics with different scales, always assign own Y-axis to each metric to prevent visual distortion.

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