The loop scorecard
See K-factor move by cohort.
Compare the loop across acquisition sources, plans, and activation cohorts to understand where compounding potential is actually forming.
Looply measures the full path from first discovery to the next activated user. Find the broken stage, run the right experiment, and give K-factor a path to move.
Loop health / overview
K-factor
0.72
The loop is moving. Conversion is holding it back.
Cohort movement
Priority experiment
Shorten the invite-to-activation path.
The complete loop
Every handoff affects the next. Looply makes the chain visible so your team can work on the constraint instead of optimizing a disconnected metric.
A qualified person finds the product.
They reach the moment it clicks.
Value creates a reason to invite.
The invite becomes an activated user.
OUTCOME METRIC / K-FACTOR
One view of the rate at which your loop creates the next user.
Instrument the system
Five focused views turn raw events into a growth operating system—built to answer the question behind every chart: what should we test now?
The loop scorecard
Compare the loop across acquisition sources, plans, and activation cohorts to understand where compounding potential is actually forming.
Referral path
Track invitation, click, signup, and activation events as one connected referral path.
Time to aha
See how long it takes users to reach meaningful value—and where that time expands.
Experiment workspace
Document the stage, hypothesis, owner, and success signal behind each loop experiment.
Loop-break alerts
Get a clear recommendation when a stage weakens or a cohort stops carrying the loop forward.
Loop diagnosis
Activation → share break
Suggested experiment
Move the invite prompt into the first successful collaboration moment.
Find the break
Looply layers funnel events with cohort movement to isolate the stage that is limiting growth. Then it gives the team a testable next move—not another dashboard to interpret.
How it works
A simple operating rhythm for teams that want growth to get smarter every cycle.
Bring discovery, activation, sharing, and signup signals into one loop.
See the stage that loses momentum and the cohorts that expose why.
Give a specific loop hypothesis an owner and a success signal.
Measure whether the loop is getting stronger—not just busier.
FAQ
A few straight answers before you start mapping the loop.
Build loops. Not funnels.
Instrument the loop, focus the team on its break, and run experiments that have a chance to change the outcome.
Open the analytics lab