BRANCH

Operator playbook

How to measure attendance without confusing RSVP with show-up

A trustworthy attendance funnel keeps interest, registration, RSVP, check-in, attendance, and repeat participation separate. Branch uses those distinct states so operators can see where follow-through changes without presenting an RSVP or message as proof that someone showed up.

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The useful answer

What to do when this problem appears.

Operators and teams that need to evaluate attendance conversion, no-show recovery, or repeat participation without confusing activity signals with verified presence.

Start here: Write down who entered the funnel, which event or period they were eligible for, and when observation starts and ends.

How Branch handles it

A practical operating sequence.

01

Define the population

State who entered the funnel, which community or event they were eligible for, and the observation window before comparing outcomes.

02

Keep states separate

Record interest, registration, payment, RSVP, check-in, attendance, no-show, and return as distinct facts with their source and confidence.

03

Compare responsibly

Use a holdout or clearly defined comparison where possible, report sample size and limitations, and avoid calling attributed activity causal lift.

Practical playbook

Use this on your next operating cycle.

01

Define the denominator

Write down who entered the funnel, which event or period they were eligible for, and when observation starts and ends.

02

Name each state

Keep inquiry, qualified conversation, registration, payment, RSVP, check-in, attendance, no-show, and return distinct. Store source and confidence.

03

Reconcile identity carefully

Match provider records with stable identifiers and send ambiguous matches to review. Never turn a missing record into a negative outcome.

04

Report the limitation

Show sample size, missingness, disputes, timing, holdout/comparison method, and whether the result is attributed or causal.

WORKED EXAMPLE

A simple event report

“120 eligible registrants; 104 RSVPs; 91 verified check-ins; 13 unresolved attendance records; 24 returned for the next event.” That is more trustworthy than “91% engagement.”

MEASUREMENT

Use causal language only when earned

Attribution can connect Branch activity to an observed outcome. Incremental lift requires a credible holdout or comparison, consistent windows, and reliable attendance truth.

What to measure

Measure movement, not message volume.

Signal

Reply or RSVPUseful evidence of intent or commitment, but not proof of physical presence.

Truth

Verified check-inThe attendance source should be named, auditable, and kept separate from inferred status.

Learning

Return participationA second event, visit, or session shows whether the first experience became a repeat path.

Where teams go wrong

Avoid the shortcuts that hide the real problem.

Using RSVP as attendance

Intent and presence are different facts.

Hiding unknowns

An unresolved attendance record is a data-quality item, not a no-show.

Questions operators ask

Clear answers before the next action.

What is the difference between RSVP and attendance?

An RSVP records a person’s stated intention or reservation. Attendance requires a separate presence signal such as a check-in, ticket scan, operator confirmation, or another approved source.

Can Branch prove that a message caused attendance?

Not from attribution alone. Causal claims require a defined comparison or holdout, a consistent observation window, reliable attendance truth, and documented limitations.

What should an attendance report include?

Include the population definition, event or observation window, state definitions, attendance source, sample size, comparison rule, limitations, and any unresolved or disputed records.

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