Detailed statistics

Pour :Administrateur

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View of the detailed statistics page

The Campaign statistics page (/app/campagne/stats) synthesizes all performance data of a campaign on a single view. It is designed for weekly steering and post-campaign analysis.

Selectors and filters

In the top right, four selectors let you target the analysis:

Selector	Effect
Campaign	Choice of the campaign to analyze (memorized in localStorage)
Date range	Range picker restricted to the campaign start and end dates
Source	Filter by source (all sources or only one)
Team	Available in the breakdown graphs

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Choice memorization

The last selected campaign is memorized locally. When you return to the page, you automatically find the same campaign.

Main KPIs

Online donations block

KPI	Description
Number of donations	Counter of unique payments
Amount collected	Cumulative total of donations
Average amount	Average donation over the period
Maximum amount	Largest donation received

Subscriptions block

KPI	Description
Number of subscriptions	Total subscriptions created
Total amount	Cumulative committed amounts
Average amount	Average amount of a subscription
Maximum amount	Largest subscription

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Average vs maximum

The average amount tells you whether your target gives in small or large donations. The maximum reveals if you have a single large donor pulling the figures up. If the average is much lower than the maximum, fundraising relies on few people — diversify your base.

Time-based charts

Visits per hour

VISITOR_SUM_HISTORY graph: number of visits per hour on the selected range. Lets you:

• spot audience peaks (newsletter sends, WhatsApp shares)
• identify off-peak hours to schedule communications
• measure the delayed effect of a message sent early in the morning

Payments per hour

PAIEMENT_SUM_HISTORY graph: number of payments per hour. Crossed with the previous one, gives the temporal conversion rate: how many visits turn into a donation at each time slot.

Geographical visualization

Visitors per region

VISITOR_MAP map: heatmap of visitors per region (geolocation by IP). Lets you:

• see where traffic comes from
• identify under-mobilized areas to target a communication
• detect abnormal traffic (unexpected geographic area)

Payments per region

PAIEMENT_MAP map: heatmap of payments per region. Crossed with the visitor map, shows the most generous areas.

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Geolocation accuracy

Geolocation is done by IP address. Accuracy is at the region level (sometimes city for major metropolises). No exact address. Visitors on VPN may appear in a different area than their own.

Summary table

Under the maps, a summary table (component GalaTableau) lists all contributions per contact. Typical columns:

Column	Description
Contact	First name Last name of the donor
Total	Cumulative sum of their donations on the campaign
Number of donations	Counter
Source	Traffic origin (newsletter, WhatsApp, direct, etc.)
Team	Team to which the donation is attached
Date	Date of the last donation

This is the reference table for personalized thank-yous post-campaign.

Cross-analysis source × team

To analyze which team converts best on which source:

1. 1

   Filter by source

   Choose a source in the selector at the top right.

2. 2

   View the teams block

   The table and graphs update to show only payments from this source, broken down by team.

3. 3

   Compare

   Identify the most effective team on this channel and reproduce their approach on the other teams.

Export and post-campaign reporting

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Combine with the Payments module

For a complete Excel export, switch to the payment list filtered by campaign (/app/campagne/paiements) and use the export function. You get a comprehensive file that you can cross-reference with your CRM.

At the end of a campaign, take the time to:

• Capture these statistics (screenshot or export) for archive
• Identify the 3 most effective sources to reproduce in the next campaign
• List top contributors to thank them by name
• Analyze under-represented geographical areas to adjust communication