2025 Benchmark Report · Vol. 01

The state of patient experience in private healthcare.

A cross-market analysis of 343,764 patient survey invitations, 54,757 NPS responses, and 30,613 open-text comments — across fertility, dental, orthopaedic, diagnostic, paediatric, polyclinic, and aesthetic clinics.

343,764Invitations sent
54,757NPS responses
30,613Open-text comments
±0.86Margin of error
79.6
Global NPS
±0.86 MoE
85.2%
Promoter share
15.3:1
Promoter / detractor ratio
01Executive SummaryIn two minutes

A wide margin, three ways.

Private healthcare clinics using structured patient feedback programmes achieve NPS scores 20–27 points above published industry averages — and exceed the "world-class" +70 threshold by nearly 10 points.

79.6±0.86
Global NPS — 21pt above Retently, 27pt above CustomerGauge
85.2%
Promoter share. Just 5.6% detractors.
15.3:1
Promoters per detractor — for every 1 patient who would not recommend, more than 15 would.

Five findings worth acting on.

1

Private healthcare beats industry by a wide margin

The 79.6 global NPS sits 21–27 points above Retently (+53) and CustomerGauge (+58), and exceeds "world-class" (+70) by nearly 10 points.

2

Passive patients are a hidden risk

37.8% of patients scoring 7–8 leave negative or mixed open-text feedback — 5.6× the rate of promoters. They quietly churn.

3

Message copy changes the outcome

Switching to the best-performing copy lifts response rates from 20.8% to 25.1% — and raises the scores patients give.

4

Reminders deliver the largest volume lift

Accounts using survey reminders see response rates climb from 22.5% to 28.4% — a +5.9pp gain.

5

Feedback programmes build reputation

Clinics collecting more structured patient feedback also generate substantially more Google reviews — by a wide margin. Patient experience measurement is a reputation engine.

02The Response Funneln = 343,764 invitations

Above industry, at every stage.

Every patient feedback programme is a funnel. Industry benchmarks place B2C response rates at 5–15% (CustomerGauge) and U.S. healthcare post-visit at 23%. InsiderCX clinics: 21.2% on delivered invitations.

343,764
→ 90.2% delivered
Invitations sent
SMS & WhatsApp dispatch across all clinic accounts.
65,735
→ 21.2% start rate
Responses started
Above the 5–15% B2C benchmark.
54,757
→ 83.3% completion
NPS scored
Reached and answered the recommendation question.

Higher-stakes care, higher response rates.

Patients in higher-stakes care relationships respond more readily. Aesthetic medicine — elective care with less emotional urgency — translates into less engagement.

Fertility & reproductiven=8,200+
24.9%
Orthopaedic & surgicaln=12,000+
24.4%
Diagnosticsn=12,000+
22.2%
Polyclinic
20.6%
Dentaln=12,000+
19.8%
Aesthetic medicineelective care
16.4%
03NPS Benchmarksn = 54,757 scored responses
Global NPS · ±0.86 MoE
79.6

21.6 points above Retently. 9 points above the "world-class" threshold.

Built from 85.2% promoters, 9.3% passives, 5.6% detractors. For every patient who would not recommend, more than fifteen would.

InsiderCX 202579.6
"World-class" threshold+70
CustomerGauge healthcare+58
Retently healthcare+53

InsiderCX 2025 vs published industry benchmarks

+53 industry avg+70 world-class

Fertility
88.6
Dental
83.8
Diagnostics
83.8
Polyclinics
80.3
Aesthetics
76.5
Surgical
66.8

NPS by generation.

Scores are tightly compressed across cohorts. Gen X edges ahead of the working-age group while Silent trails — Gen Alpha sits highest but on a small sample.

Silent
71.5
80+
Boomers
79
61–79
Gen X
81.9
45–60
Millennials
79.1
29–44
Gen Z
81
13–28
Gen α
90.3
0–12 · small sample*
04The Passive Risk IndexHidden churn signal
PRI — Global
37.8%

of patients scoring 7–8 left negative or mixed sentiment in their written comments.

Passives are 5.6 times more likely than promoters to express active dissatisfaction in their written comments.

PASSIVES (7–8)37.8%
PROMOTERS (9–10)6.7%
Sentiment among passives
13.1%
49% neutral
37.8% negative
Fewer than one in eight passives are genuinely satisfied.
05What Patients Sayn = 30,613 open-text comments

48.6% positive. 41% neutral.

A mature feedback programme treats neutral comments as prompts for further inquiry — not data to be filed away. Mean sentiment score: +0.38 (on a -1 to +1 scale).

48.6%
Positive
40.9%
Neutral
10.5%
Negative

What patients actually talk about.

Prevalence of topics across all open-text feedback · topics scoring ≥ 2% shown

Overall experience
24.9%
Staff
7.4%
Appointment timeliness
7.1%
The doctor
6.4%
Quality of care
5.0%
Communication
4.3%
Facilities
3.8%
Pricing & billing
3.5%
Booking process
2.9%
Wait time on site
2.4%
Cleanliness
2.1%

A single category — overall experience — accounts for nearly a quarter of all tagged feedback. After that, operational fundamentals dominate: staff, appointment timeliness, the doctor, and quality of care. Together these five topics account for more than half of everything patients wrote about. Pricing & billing surfaces in 3.5% — a reminder that cost stays in view even where patients have self-selected into a paid model.

06Optimising the LoopFour levers, ranked

Reminders. Send time. Copy. Time of day.

Together, these four levers nearly double a programme's response volume. Ranked by measured impact.

Priority 1 · Largest single lift

Survey reminders

+5.9pp
22.5%28.4%

Counting responses from both initial invite and reminder, the effective response rate rose to 28.4% — the largest effect of any lever measured.

Priority 2 · Zero-cost

Optimised send time

+2.9pp
20.6%23.5%

Move from a fixed send time to an algorithmically optimised one — varying when each patient receives their survey based on their responsiveness window.

Priority 3 · Volume + score

Message copy variant

+4.3pp
20.8%25.1%

The "Future" variant — framing the survey around helping the clinic improve for future patients — outperformed every other tested variant.

Priority 4 · Final refinement

Time of day

+5.6pp
19.0%24.6%

The 13:00 slot leads at 24.6% — roughly the lunch break. Most other hours cluster between 18–20%.

Copy variants tested.

Same audience, same channel, same send window — only the message framing changed.

DEFAULT
Standard "Please rate your visit" framing.
20.8%
Personal
{patient:sms_first_name}, feedback helps us tailor our services to your needs. Please complete a short survey: {survey_link} Thank you
22.7%
SATISFACTION
Hello {patient:sms_first_name}! Did we meet your expectations? Share your impressions with us through a short survey (1 min) — {survey_link} Thank you
22.8%
Future ★
{patient:sms_first_name}, your feedback has a great impact on our work. Please complete a short survey (1 min): {survey_link} Thank you
25.1%

When patients respond — by hour.

13:00 wins. The lunch-break slot beats neighbouring hours by 4+ percentage points.

0
1
2
3
4
5
6
7
8
918.4
1019.1
1120.0
1220.8
1324.6
1420.1
1519.4
1618.8
1718.6
1819.5
1920.1
20
21
22
23
07Reputation EngineGoogle reviews · n = 64 clinics

More feedback. More reviews.

Clinics with >3,000 responses average more than 8× the Google reviews of clinics with <500. Patient experience measurement is a reputation engine.

<500 responsesbaseline cohort
95reviews / yr
500–1,500
230reviews / yr
1,500–3,000
480reviews / yr
>3,000 responsestop cohort
790reviews / yr
08What This MeansFor your clinic

Measure well. Score better. Build reputation.

Passive patients are a hidden risk.

37.8% of 7–8 scorers leave negative or mixed feedback. The Passive Risk Index gives clinics a way to monitor it.

The way you ask shapes what you hear.

Optimised send times lift response rates 14%. The right copy adds another 4+ percentage points.

Reminders are the single largest lever.

+5.9 percentage points, from 22.5% to 28.4%. Nothing else comes close.

Feedback drives reputation.

Clinics collecting more feedback accumulate more Google reviews — by a wide margin.

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Methodology, niche-by-niche breakdowns, and the full appendix — including every chart in this summary plus three more on lifecycle stage, channel comparison, and quarter-on-quarter trend.

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