Examples

See how Liftrr works in real businesses.

From lead conversion to retention and revenue, Liftrr helps membership businesses spot leaks and take the next best action.

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Read-only · Connects to the tools you already use

01 · Chris 02 · Sophie 03 · Mark

Real-world stories

Three businesses, three leaks, three clear next moves.

Stories below use representative numbers to show the shape of what Liftrr surfaces. Your numbers will be your own.

Story 01

Chris — Gym owner · single location

Chris knew his gym could be performing better, but did not have time to pull together all the numbers and spot the real problem. Liftrr connected straight to his source data and showed him that trial users were falling through the cracks. After following up the right people, Chris added 25 new members in one month.

The problem

Chris did not have a clear way to see where trial users were dropping off.

What Liftrr showed

Trial-to-membership conversion was the biggest leak.

What they did

Followed up trial users who attended but did not join.

The result

25 new members in one month.

Conversion +15 pts+25 new membersHealth 69 → 78MRR up

Estimated value created

How we get there

25 new members × $1,500 average annual member value

In this scenario

≈ $37,500 estimated value created

Example only. Liftrr surfaces the opportunity — your team and offer drive the outcome. Actual value depends on your member value, pricing, retention and follow-up.

Metric	Before	After
Trial → membership conversion	48%	63%
New members this month	—	+25
Business health score	69	78

app.liftrr.io / tenant

Business health

78/100

+9 pts

Before 69 → After 78

Stage in focus

Leads

Interest

First visit

Transaction

Retention

Revenue

Biggest problem

Trial-to-membership conversion

Conversion scoring 48 / 100 · 31 trial users this month

Do this next

Follow up trial users who attended but did not join

Estimated lift → +$2,400 / mo

Open Action Inbox

Story 02

Sophie — Multi-location studio manager

Sophie manages multiple studios and could see overall revenue, but it was hard to quickly see which location was underperforming and why. Liftrr showed her that one location was losing people between trial purchase and first visit. By focusing her coaching on that location, she lifted first visit performance and the overall network health score.

The problem

Sophie could not easily compare locations and find the weak point.

What Liftrr showed

One location had poor first visit performance after trial purchase.

What they did

Focused coaching and follow-up on that location.

The result

First visit rate improved and the network health score lifted.

First visit +17 ptsWeakest site fixedNetwork 72 → 79Trial usage up

Estimated value created

How we get there

12 extra members × $1,200 average annual member value

In this scenario

≈ $14,400 estimated value created

Example only. Liftrr surfaces the opportunity — your team and offer drive the outcome. Actual value depends on your member value, pricing, retention and follow-up.

Metric	Before	After
First visit rate (weak location)	54%	71%
Trial usage	Low	Up
Network business health	72	79

app.liftrr.io / tenant

Business health

79/100

+7 pts

Before 72 → After 79

Stage in focus

Leads

Interest

First visit

Transaction

Retention

Revenue

Biggest problem

First visit after trial purchase

Studio B scoring 54 / 100 · 12 trials missed first visit

Studio A

Studio B

Studio C

Do this next

Coach Studio B on trial → first visit follow-up

Network lift → +7 pts health

Open Action Inbox

Story 03

Mark — Club manager

Mark was worried about lost revenue from churn and failed payments, but did not have one place to see the risk clearly. Liftrr showed him how many members were at risk, what revenue was exposed, and what to prioritise first. By recovering failed payments and following up at-risk members, he protected monthly revenue and improved retention.

The problem

Revenue was leaking through failed payments and at-risk members.

What Liftrr showed

Retention and revenue at risk were the biggest issues.

What they did

Prioritised failed payment recovery and at-risk member follow-up.

The result

Revenue leakage reduced and retention improved.

At risk 23 → 1112 payments recoveredRisk $5.2k → $1.8kRetention 56 → 72

Estimated value protected

How we get there

12 at-risk members retained + 12 failed payments recovered

In this scenario

≈ $3,400 / month estimated value protected

Example only. Liftrr surfaces the opportunity — your team and offer drive the outcome. Actual value depends on your member value, pricing, retention and follow-up.

Metric	Before	After
Members at risk	23	11
Revenue at risk	$5,200	$1,800
Retention score	56	72

app.liftrr.io / tenant

Business health

74/100

+10 pts

Before 64 → After 74

Stage in focus

Leads

Interest

First visit

Transaction

Retention

Revenue

Biggest problem

Retention & failed payments

Retention scoring 56 / 100 · $5.2k exposed this month

Do this next

Recover failed payments & contact at-risk members

Recovered → $3,400 saved

Open Action Inbox

How Liftrr helps pay for itself

A few wins each month can cover Liftrr many times over.

These are simple example calculations using a placeholder member value. Plug in your own numbers and the shape stays the same — small lifts on the right things add up quickly.

Recover one extra member per month

Metric

1 member × $1,500 annual value

≈ $1,500 / year created

Hold on to 3 at-risk members each quarter

Metric

3 members × $1,500 × 4 quarters

≈ $18,000 / year protected

Recover 5 failed payments per month

Metric

5 payments × $80 × 12 months

≈ $4,800 / year recovered

Example calculations only — not guarantees. Real value depends on your member value, pricing, retention, source-data quality, and team follow-up.

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