ho checked in. First-Timers: Attendees who checked in for the first time in this period. Repeat Rate: Percentage of attendees who checked in two or more times. Peak Day: The day of the week with the most check-ins, plus count. Avg Engagement: Average engagement score for attendees (when available).
Our testing indicated that for a large group with 100+ members, the new SQL procedure reduced the query time by at least 50%. Additionally, we optimized the event group participation checking to reduce further the total number of API queries required to enhance the group attendance speed further. W
ywords. These keywords are matched against keyword hits to identify check-ins. Common examples include “here,” “checkin,” and service-specific codes. Why is my list marked “At Risk” or “Needs Attention”? List health is based on opt-out rates, invalid number rates, and growth trends. High opt-out or
build a fuller list if needed. Engagement Funnel The Engagement Funnel shows how deeply form submitters are connected to your church across channels. It displays four segments: Identified Submitters: People who were logged in or matched to a known profile when they submitted. This is the full base.
le-focused digests without logging in each time. CSV Export Click “Export CSV” in the page header to download a CSV of submitters. The export includes columns: Name, Email, Phone, Forms, Submissions, Total Paid, First Submission, Last Submission, Engagement Score, At-Risk Tier, Account Created. The
out to today?” Your AI Pastoral Briefing Below the snapshot numbers, the report provides something unique: an AI-generated Pastoral Care Briefing. Rather than forcing your team to interpret tables and trends, the system converts the data into a short narrative summary written in a pastoral voice. It
or Remove Keywords You can customize the decision keyword list directly from the report. In the filter bar, you’ll see an editable chip bar showing your current decision keywords. To add a keyword, type the new term in the input field and press Enter. To remove a keyword, click the X on its chip. Ch
) Three summary cards appear at the top of the report: Total Users: The count of unique users who made at least one approved payment in the selected range. Total Amount: The sum of all approved payment amounts in the range. Total Transactions: The total number of approved transactions in the range.
still building insights—typically 3–6 months of data is needed. Care Tiers The care list is grouped into three tiers based on how overdue someone is: Priority Care: At serious risk of lapsing—these people need pastoral care this week. They are at least twice as overdue as their usual pattern. Person
dentified” badge with a note that this is great for pastoral care. When there are anonymous submissions, a doughnut chart displays the split with percentages. Understanding this ratio helps you decide whether to encourage identification on forms (e.g., by making name/email optional vs. required). Fi
his to understand whether your congregation prefers texting or web-based chat. Prior Period Comparison The report compares current-period metrics to the previous period of equal length. For example, if you select Last Month (March 1–31), the prior period is February 1–28 (or 29 in a leap year). The
Submissions by Form Report: Compare Every Form Side-by-Side Your church runs connection cards, baptism sign-ups, volunteer applications, event registrations, and more. Each form serves a purpose, but without a clear comparison view, it’s hard to know which forms are thriving, which are underperformi