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Before reading anything into the analytics, this theme answers two questions: is your supporter file healthy and growing, and is the underlying data complete and trustworthy.

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Overview

The headline health check on your file — whether your active base and income are holding up, growing, or slipping, and how this year compares to last. KPIs
  • Donors still giving — count of donors with a gift in the active window.
  • Donors gained or lost vs. last year — net change in active donors against the same point last year.
  • Income gained or lost vs. last year — net change in income against last year.
  • Active donor tiers (when tier data is present) — counts for Standard / Middle / Major / Regular givers.
Charts
  • Active donors — monthly with 12-month rolling average — bars are monthly active donors; the line smooths seasonality to show the underlying trend.
  • Monthly income with 12-month rolling average — the same treatment for income.
Tables
  • Donor segments — Total / Active / Inactive / Monthly (subscription) / Sporadic, with donor counts and average donation.
  • Year-on-year comparison — period, active donors, total income, and YoY % change.
Controls — a date-range slider narrows the months shown (rolling averages are computed on the full series first, so they stay correct at the edges).
Overview KPI row

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Data coverage

A transparency view, primarily for you and your Allyy account manager, confirming the data landed correctly. KPIs (per selected table) — Type, Rows, Date range, and Span (days). Charts
  • Null rate per column — missing-value rate, to spot gaps.
  • Records per month — volume over time.
  • Response outcomes per month — how responses break down (for response-type tables).
Tables
  • Summary — per source: rows, date min/max, span, positive/response rate, total amount.
  • Entity breakdown — the top entities in the table.
Controls — select which table to drill into, and a date-range slider for the monthly charts.
If a dashboard looks off, check here first — a short date span or a high null rate on a key field usually explains it.
Data coverage KPIs