GITNUXREPORT 2026

Customer Churn Statistics

Industry churn varies widely but reducing it drastically increases profits.

Alexander Schmidt

Research Analyst specializing in technology and digital transformation trends.

First published: Feb 13, 2026

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Rigorous fact-checking · Reputable sources · Regular updatesLearn more

Statistic 1

Customers with low tenure (<6 months) show 5x churn multiplier

Statistic 2

Decreased login frequency by 50% predicts 80% churn probability in SaaS

Statistic 3

Negative sentiment in support tickets correlates with 65% churn risk

Statistic 4

Feature usage drop of 30% signals churn in 70% cases for apps

Statistic 5

High support ticket volume (>5/month) precedes 55% churn

Statistic 6

Cart abandonment rate over 70% indicates 40% future churn in e-com

Statistic 7

Referral activity halt predicts churn with 75% accuracy

Statistic 8

Payment method failures occur in 22% of churning accounts prior

Statistic 9

Session duration reduction by 40% flags 60% at-risk users

Statistic 10

Low NPS scores (<6) lead to 50% churn within 90 days

Statistic 11

Competitor mentions in feedback rise 3x before churn

Statistic 12

Upgrade hesitation correlates with 35% higher churn

Statistic 13

Peak usage followed by silence predicts 68% churn in fitness apps

Statistic 14

Multi-device inconsistency boosts churn risk 28%

Statistic 15

Feedback survey non-response rate hits 45% for churners

Statistic 16

High bounce rate (>60%) on emails signals 52% churn

Statistic 17

Downgraded plans precede 70% eventual full churn

Statistic 18

Social share drop by 50% indicates 55% churn likelihood

Statistic 19

Repeated trial usage without conversion predicts 62% churn

Statistic 20

Location change detection raises churn alert in 40% cases

Statistic 21

Low engagement with notifications (open <20%) flags 48% risk

Statistic 22

Custom event abandonment (e.g., wishlist) correlates 59% with churn

Statistic 23

Cohort analysis shows day-30 active users churn 80% less

Statistic 24

High velocity logins post-signup drop predicts early churn 71%

Statistic 25

Poor customer service accounts for 73% of reasons why customers churn across industries

Statistic 26

Pricing increases lead to 45% churn in subscription services within 3 months

Statistic 27

59% of customers switch due to better competitor offers, per 2023 survey

Statistic 28

Lack of personalization causes 68% churn in e-commerce

Statistic 29

Slow response times result in 40% churn in support-heavy industries like SaaS

Statistic 30

Product quality issues drive 52% of B2B churn

Statistic 31

Inadequate onboarding leads to 25% churn in first 90 days for SaaS

Statistic 32

Negative employee interactions cause 29% churn in retail

Statistic 33

Billing errors contribute to 15% involuntary churn across sectors

Statistic 34

Feature gaps account for 37% voluntary churn in software

Statistic 35

Economic downturns increase churn by 20-30% in discretionary services

Statistic 36

Poor mobile experience drives 53% app churn

Statistic 37

Lack of loyalty rewards leads to 33% higher churn in retail

Statistic 38

Delivery delays cause 41% churn in logistics-dependent services

Statistic 39

Data privacy concerns result in 28% churn post-breach

Statistic 40

Usability issues account for 60% early churn in fintech apps

Statistic 41

Competitor innovation pulls 44% customers in tech sectors

Statistic 42

Cancellation friction reduces churn by only 10% long-term

Statistic 43

Brand misalignment causes 21% churn in consumer goods

Statistic 44

Technical downtime leads to 35% immediate churn in cloud services

Statistic 45

Involuntary churn from failed payments is 38% of total churn

Statistic 46

Cultural insensitivity boosts churn by 50% in global markets

Statistic 47

Over-automation without human touch increases churn 27%

Statistic 48

Sustainability mismatches cause 19% churn among Gen Z

Statistic 49

Machine learning models predict churn with 85-95% accuracy using RFM analysis

Statistic 50

Logistic regression achieves 82% AUC in telecom churn prediction on 1M dataset

Statistic 51

XGBoost outperforms others with 92% precision in e-commerce churn models

Statistic 52

Neural networks reach 88% recall in SaaS churn forecasting per 2023 study

Statistic 53

Random Forest models identify 78% of at-risk customers 30 days early

Statistic 54

Survival analysis predicts churn lifetime with 0.75 concordance index in banking

Statistic 55

Gradient boosting machines achieve 90% F1-score on imbalanced churn data

Statistic 56

Deep learning with LSTM sequences forecast churn at 87% accuracy over 6 months

Statistic 57

Ensemble methods lift churn prediction lift by 25% over single models

Statistic 58

Feature importance shows recency as top predictor in 70% of models

Statistic 59

KNN classifiers hit 80% accuracy with hyperparameter tuning on retail data

Statistic 60

SVM with RBF kernel reaches 85% on banking churn with SMOTE balancing

Statistic 61

Time-series ARIMA models predict seasonal churn spikes at 82% MAPE error

Statistic 62

Graph neural networks model social churn contagion at 91% accuracy

Statistic 63

Bayesian networks infer churn probability at 79% calibration score

Statistic 64

AutoML tools like H2O.ai achieve 89% AUC in 10 minutes on churn datasets

Statistic 65

Reinforcement learning optimizes intervention timing reducing predicted churn 15%

Statistic 66

Hybrid CNN-RNN models excel at 93% on video streaming churn data

Statistic 67

SHAP explainability reveals top 5 features drive 65% model variance in churn

Statistic 68

Federated learning preserves privacy while hitting 86% churn accuracy across orgs

Statistic 69

Millennials aged 25-34 have 28% higher churn rates than average in telecom

Statistic 70

Gen Z customers churn 35% more in retail due to value sensitivity

Statistic 71

Females exhibit 12% lower churn in banking than males per 2023 data

Statistic 72

Urban dwellers churn 22% faster in ride-sharing than rural

Statistic 73

Customers over 55 have 40% lower SaaS churn rates

Statistic 74

Low-income households (<$50k) show 31% higher insurance churn

Statistic 75

Single parents churn 25% more in subscription services

Statistic 76

College-educated customers have 18% lower gym churn

Statistic 77

Hispanic consumers in US e-commerce churn 15% higher due to language barriers

Statistic 78

Baby boomers loyalty leads to 50% less streaming churn

Statistic 79

High-income (>100k) B2B decision-makers churn 8% less annually

Statistic 80

Recent movers (past 6 months) exhibit 42% churn spike in utilities

Statistic 81

LGBTQ+ customers churn 20% more if inclusivity lacking

Statistic 82

Parents with kids under 5 have 27% higher food delivery churn

Statistic 83

Veterans show 14% lower banking churn due to loyalty programs

Statistic 84

Remote workers churn 30% less in productivity SaaS

Statistic 85

Immigrants churn 33% higher in first year of telecom service

Statistic 86

Empty nesters have stable 5% annual retail churn

Statistic 87

Blue-collar workers exhibit 24% higher auto insurance churn

Statistic 88

Students churn 55% in edtech after semester end

Statistic 89

Married couples churn 16% less in joint banking accounts

Statistic 90

Recent graduates (under 2 years) show 38% fintech churn

Statistic 91

Seniors over 65 have 45% lower gaming app churn

Statistic 92

Churned customers cost businesses 5-25x more to replace than retain

Statistic 93

Reducing churn by 5% can increase profits by 25-95% across industries

Statistic 94

Average customer acquisition cost (CAC) is $315, vs $0 retention spend

Statistic 95

Telecom churn costs US industry $10B annually in lost revenue

Statistic 96

SaaS churn of 1% monthly erodes 12% ARR yearly

Statistic 97

Loyal customers spend 67% more over lifetime than new ones

Statistic 98

Banking churn leads to $4.6B annual losses in cross-sell opportunities

Statistic 99

E-commerce churn equates to 27% lost revenue potential yearly

Statistic 100

Retention investment yields 5-8x ROI in subscription models

Statistic 101

Churn reduction of 10% boosts valuation multiples by 1.5x in SaaS

Statistic 102

Insurance churn costs $20B in reacquisition US market 2023

Statistic 103

Net revenue retention (NRR) below 100% destroys 15% equity value yearly

Statistic 104

Customer lifetime value (CLV) drops 50% with 20% annual churn

Statistic 105

Retail loyalty programs cut churn costs by $1.5B annually for top chains

Statistic 106

Streaming services lose $2B/year to churn-related piracy shifts

Statistic 107

B2B churn above 10% annually halves company growth rate

Statistic 108

Failed retention campaigns cost firms 23% of marketing budget waste

Statistic 109

Utilities churn leads to 12% margin erosion in competitive markets

Statistic 110

Fintech churn reduces LTV by 40% for high-value segments

Statistic 111

Gaming app churn costs developers $50B global revenue yearly

Statistic 112

Global average customer churn rate across industries is 15-20% annually

Statistic 113

In 2023, US customer churn cost businesses $1.6 trillion annually due to 15% average rate

Statistic 114

APAC region telecom churn averages 2.5% monthly, higher than North America at 1.6%

Statistic 115

Latin America e-commerce churn rate is 32% annually, driven by logistics issues

Statistic 116

Middle East banking churn stands at 11% annually in 2023

Statistic 117

Africa mobile money churn is 18% monthly for prepaid users

Statistic 118

Worldwide streaming churn rose to 5.1% in Q1 2023 post-password sharing crackdown

Statistic 119

Canada retail churn rate is 28% annually, highest in apparel at 40%

Statistic 120

Australia gym churn peaks at 40% in first quarter

Statistic 121

India fintech churn averages 25% annually for lending apps

Statistic 122

China e-commerce churn for Taobao is 22% yearly

Statistic 123

Brazil insurance churn at 16% annually

Statistic 124

South Africa telecom churn 3.1% monthly

Statistic 125

Japan subscription service churn 12% annually, lowest globally

Statistic 126

Germany energy provider churn 8% yearly in liberalized markets

Statistic 127

UK broadband churn 1.9% monthly

Statistic 128

France retail banking churn 9.5% annually

Statistic 129

Mexico ride-hailing churn 22% monthly

Statistic 130

Singapore SaaS churn 3.8% monthly for startups

Statistic 131

Russia gaming app churn day-7 at 70%

Statistic 132

UAE luxury retail churn 15% annually

Statistic 133

Nigeria banking app churn 35% first year

Statistic 134

Sweden streaming churn 3.5% quarterly

Statistic 135

In the US telecommunications industry, customer churn rates averaged 1.62% per month in 2022, equating to an annual churn of approximately 18.5%

Statistic 136

SaaS companies experience an average monthly churn rate of 5-7% for small businesses, primarily due to pricing dissatisfaction

Statistic 137

In the banking sector, digital-only banks report a 12% annual churn rate compared to 8% for traditional banks in 2023

Statistic 138

E-commerce retail churn rates stand at 25-30% annually, with fashion subcategory at 35%, driven by poor customer service

Statistic 139

Streaming services like Netflix had a Q4 2022 churn rate of 4.2% in the US, higher than Disney+ at 3.8%

Statistic 140

Gym and fitness membership churn is 30% within the first 3 months, reaching 50% by 6 months post-signup

Statistic 141

Insurance industry voluntary churn rate averages 14% annually, with auto insurance at 18%

Statistic 142

Credit card churn rates in the US were 20.5% in 2022, up from 18.2% in 2021 due to economic pressures

Statistic 143

B2B SaaS median churn rate is 3.5% monthly for ARR under $1M, dropping to 1.2% for over $10M

Statistic 144

Cable TV providers saw churn rates of 2.1% monthly in 2023 amid cord-cutting trends

Statistic 145

Hotel loyalty program churn is 45% annually for mid-tier chains versus 32% for luxury

Statistic 146

Mobile gaming apps have a day-30 churn rate of 75-80%

Statistic 147

Energy utility churn rates average 10% annually in deregulated markets like Texas

Statistic 148

Ride-sharing services like Uber report 15-20% monthly churn in urban areas

Statistic 149

Online dating apps experience 42% churn after first month

Statistic 150

Telecom churn in Europe averages 2.0% monthly, highest in UK at 2.4%

Statistic 151

Retail banking app churn is 22% annually for millennials

Statistic 152

VoIP services churn at 8.5% monthly for SMBs

Statistic 153

Food delivery apps like DoorDash have 28% monthly churn

Statistic 154

Cloud storage providers see 4% monthly churn for consumer plans

Statistic 155

In subscription box services, beauty boxes churn at 15% monthly

Statistic 156

Auto rental loyalty churn is 35% annually

Statistic 157

EdTech platforms report 25% course completion churn

Statistic 158

VPN services churn at 12% monthly due to performance issues

Statistic 159

Pet insurance churn averages 22% annually, highest in first year at 40%

Statistic 160

Freelance platforms like Upwork have 18% client churn quarterly

Statistic 161

Meal kit services churn at 20-25% monthly

Statistic 162

Social media management tools churn 6% monthly for agencies

Statistic 163

E-sports betting apps show 30% monthly churn

1/163

Sources

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Here’s a one-sentence introduction that starts with a catchy sentence: No matter your industry, from streaming services to retail banks, you're almost certainly losing customers at a startling rate, as our deep dive reveals across sectors like SaaS, where monthly churn averages 5-7%, and e-commerce, where annual rates can hit a staggering 35%.

Key Takeaways

In the US telecommunications industry, customer churn rates averaged 1.62% per month in 2022, equating to an annual churn of approximately 18.5%
SaaS companies experience an average monthly churn rate of 5-7% for small businesses, primarily due to pricing dissatisfaction
In the banking sector, digital-only banks report a 12% annual churn rate compared to 8% for traditional banks in 2023
Global average customer churn rate across industries is 15-20% annually
In 2023, US customer churn cost businesses $1.6 trillion annually due to 15% average rate
APAC region telecom churn averages 2.5% monthly, higher than North America at 1.6%
Poor customer service accounts for 73% of reasons why customers churn across industries
Pricing increases lead to 45% churn in subscription services within 3 months
59% of customers switch due to better competitor offers, per 2023 survey
Machine learning models predict churn with 85-95% accuracy using RFM analysis
Logistic regression achieves 82% AUC in telecom churn prediction on 1M dataset
XGBoost outperforms others with 92% precision in e-commerce churn models
Millennials aged 25-34 have 28% higher churn rates than average in telecom
Gen Z customers churn 35% more in retail due to value sensitivity
Females exhibit 12% lower churn in banking than males per 2023 data

Industry churn varies widely but reducing it drastically increases profits.

Behavioral Indicators

Customers with low tenure (<6 months) show 5x churn multiplier
Decreased login frequency by 50% predicts 80% churn probability in SaaS
Negative sentiment in support tickets correlates with 65% churn risk
Feature usage drop of 30% signals churn in 70% cases for apps
High support ticket volume (>5/month) precedes 55% churn
Cart abandonment rate over 70% indicates 40% future churn in e-com
Referral activity halt predicts churn with 75% accuracy
Payment method failures occur in 22% of churning accounts prior
Session duration reduction by 40% flags 60% at-risk users
Low NPS scores (<6) lead to 50% churn within 90 days
Competitor mentions in feedback rise 3x before churn
Upgrade hesitation correlates with 35% higher churn
Peak usage followed by silence predicts 68% churn in fitness apps
Multi-device inconsistency boosts churn risk 28%
Feedback survey non-response rate hits 45% for churners
High bounce rate (>60%) on emails signals 52% churn
Downgraded plans precede 70% eventual full churn
Social share drop by 50% indicates 55% churn likelihood
Repeated trial usage without conversion predicts 62% churn
Location change detection raises churn alert in 40% cases
Low engagement with notifications (open <20%) flags 48% risk
Custom event abandonment (e.g., wishlist) correlates 59% with churn
Cohort analysis shows day-30 active users churn 80% less
High velocity logins post-signup drop predicts early churn 71%

Behavioral Indicators Interpretation

If your product isn't becoming a habit, a haven, or a happy place, your customers are quietly—but clearly—showing you the exit with every missed login, muted notification, and unresolved complaint.

Causes of Churn

Poor customer service accounts for 73% of reasons why customers churn across industries
Pricing increases lead to 45% churn in subscription services within 3 months
59% of customers switch due to better competitor offers, per 2023 survey
Lack of personalization causes 68% churn in e-commerce
Slow response times result in 40% churn in support-heavy industries like SaaS
Product quality issues drive 52% of B2B churn
Inadequate onboarding leads to 25% churn in first 90 days for SaaS
Negative employee interactions cause 29% churn in retail
Billing errors contribute to 15% involuntary churn across sectors
Feature gaps account for 37% voluntary churn in software
Economic downturns increase churn by 20-30% in discretionary services
Poor mobile experience drives 53% app churn
Lack of loyalty rewards leads to 33% higher churn in retail
Delivery delays cause 41% churn in logistics-dependent services
Data privacy concerns result in 28% churn post-breach
Usability issues account for 60% early churn in fintech apps
Competitor innovation pulls 44% customers in tech sectors
Cancellation friction reduces churn by only 10% long-term
Brand misalignment causes 21% churn in consumer goods
Technical downtime leads to 35% immediate churn in cloud services
Involuntary churn from failed payments is 38% of total churn
Cultural insensitivity boosts churn by 50% in global markets
Over-automation without human touch increases churn 27%
Sustainability mismatches cause 19% churn among Gen Z

Causes of Churn Interpretation

Behind every statistic lies a familiar story: customers are fleeing not just for better prices or shiny features, but fundamentally because they feel unseen, unheard, and undervalued at nearly every touchpoint.

Churn Prediction Models

Machine learning models predict churn with 85-95% accuracy using RFM analysis
Logistic regression achieves 82% AUC in telecom churn prediction on 1M dataset
XGBoost outperforms others with 92% precision in e-commerce churn models
Neural networks reach 88% recall in SaaS churn forecasting per 2023 study
Random Forest models identify 78% of at-risk customers 30 days early
Survival analysis predicts churn lifetime with 0.75 concordance index in banking
Gradient boosting machines achieve 90% F1-score on imbalanced churn data
Deep learning with LSTM sequences forecast churn at 87% accuracy over 6 months
Ensemble methods lift churn prediction lift by 25% over single models
Feature importance shows recency as top predictor in 70% of models
KNN classifiers hit 80% accuracy with hyperparameter tuning on retail data
SVM with RBF kernel reaches 85% on banking churn with SMOTE balancing
Time-series ARIMA models predict seasonal churn spikes at 82% MAPE error
Graph neural networks model social churn contagion at 91% accuracy
Bayesian networks infer churn probability at 79% calibration score
AutoML tools like H2O.ai achieve 89% AUC in 10 minutes on churn datasets
Reinforcement learning optimizes intervention timing reducing predicted churn 15%
Hybrid CNN-RNN models excel at 93% on video streaming churn data
SHAP explainability reveals top 5 features drive 65% model variance in churn
Federated learning preserves privacy while hitting 86% churn accuracy across orgs

Churn Prediction Models Interpretation

While our models are getting suspiciously good at predicting which customers will leave—hitting accuracy rates well into the 80s and 90s across industries—it seems the real customer service challenge is that we’re now brilliantly forecasting a problem we are still failing to humanely solve.

Demographic Factors

Millennials aged 25-34 have 28% higher churn rates than average in telecom
Gen Z customers churn 35% more in retail due to value sensitivity
Females exhibit 12% lower churn in banking than males per 2023 data
Urban dwellers churn 22% faster in ride-sharing than rural
Customers over 55 have 40% lower SaaS churn rates
Low-income households (<$50k) show 31% higher insurance churn
Single parents churn 25% more in subscription services
College-educated customers have 18% lower gym churn
Hispanic consumers in US e-commerce churn 15% higher due to language barriers
Baby boomers loyalty leads to 50% less streaming churn
High-income (>100k) B2B decision-makers churn 8% less annually
Recent movers (past 6 months) exhibit 42% churn spike in utilities
LGBTQ+ customers churn 20% more if inclusivity lacking
Parents with kids under 5 have 27% higher food delivery churn
Veterans show 14% lower banking churn due to loyalty programs
Remote workers churn 30% less in productivity SaaS
Immigrants churn 33% higher in first year of telecom service
Empty nesters have stable 5% annual retail churn
Blue-collar workers exhibit 24% higher auto insurance churn
Students churn 55% in edtech after semester end
Married couples churn 16% less in joint banking accounts
Recent graduates (under 2 years) show 38% fintech churn
Seniors over 65 have 45% lower gaming app churn

Demographic Factors Interpretation

Here is a witty but serious one-sentence interpretation: Your customer base is a mosaic of competing priorities where a person's age, paycheck, and postal code often predict their loyalty better than your product does, proving that churn is less about satisfaction and more about life's unrelenting script.

Financial Impacts

Churned customers cost businesses 5-25x more to replace than retain
Reducing churn by 5% can increase profits by 25-95% across industries
Average customer acquisition cost (CAC) is $315, vs $0 retention spend
Telecom churn costs US industry $10B annually in lost revenue
SaaS churn of 1% monthly erodes 12% ARR yearly
Loyal customers spend 67% more over lifetime than new ones
Banking churn leads to $4.6B annual losses in cross-sell opportunities
E-commerce churn equates to 27% lost revenue potential yearly
Retention investment yields 5-8x ROI in subscription models
Churn reduction of 10% boosts valuation multiples by 1.5x in SaaS
Insurance churn costs $20B in reacquisition US market 2023
Net revenue retention (NRR) below 100% destroys 15% equity value yearly
Customer lifetime value (CLV) drops 50% with 20% annual churn
Retail loyalty programs cut churn costs by $1.5B annually for top chains
Streaming services lose $2B/year to churn-related piracy shifts
B2B churn above 10% annually halves company growth rate
Failed retention campaigns cost firms 23% of marketing budget waste
Utilities churn leads to 12% margin erosion in competitive markets
Fintech churn reduces LTV by 40% for high-value segments
Gaming app churn costs developers $50B global revenue yearly

Financial Impacts Interpretation

The corporate obsession with chasing shiny new customers is a wildly expensive vanity project when you consider that simply holding onto the ones you already have—by not treating them like an afterthought—is demonstrably where the real profit, stability, and sanity lie.

Global Churn Rates

Global average customer churn rate across industries is 15-20% annually
In 2023, US customer churn cost businesses $1.6 trillion annually due to 15% average rate
APAC region telecom churn averages 2.5% monthly, higher than North America at 1.6%
Latin America e-commerce churn rate is 32% annually, driven by logistics issues
Middle East banking churn stands at 11% annually in 2023
Africa mobile money churn is 18% monthly for prepaid users
Worldwide streaming churn rose to 5.1% in Q1 2023 post-password sharing crackdown
Canada retail churn rate is 28% annually, highest in apparel at 40%
Australia gym churn peaks at 40% in first quarter
India fintech churn averages 25% annually for lending apps
China e-commerce churn for Taobao is 22% yearly
Brazil insurance churn at 16% annually
South Africa telecom churn 3.1% monthly
Japan subscription service churn 12% annually, lowest globally
Germany energy provider churn 8% yearly in liberalized markets
UK broadband churn 1.9% monthly
France retail banking churn 9.5% annually
Mexico ride-hailing churn 22% monthly
Singapore SaaS churn 3.8% monthly for startups
Russia gaming app churn day-7 at 70%
UAE luxury retail churn 15% annually
Nigeria banking app churn 35% first year
Sweden streaming churn 3.5% quarterly

Global Churn Rates Interpretation

While businesses worldwide are hemorrhaging trillions to a restless tide of departing customers, from fleeting gym resolutions to fickle digital subscriptions, the stark truth is that loyalty is the rarest and most valuable currency in any market.

Industry-Specific Churn Rates

In the US telecommunications industry, customer churn rates averaged 1.62% per month in 2022, equating to an annual churn of approximately 18.5%
SaaS companies experience an average monthly churn rate of 5-7% for small businesses, primarily due to pricing dissatisfaction
In the banking sector, digital-only banks report a 12% annual churn rate compared to 8% for traditional banks in 2023
E-commerce retail churn rates stand at 25-30% annually, with fashion subcategory at 35%, driven by poor customer service
Streaming services like Netflix had a Q4 2022 churn rate of 4.2% in the US, higher than Disney+ at 3.8%
Gym and fitness membership churn is 30% within the first 3 months, reaching 50% by 6 months post-signup
Insurance industry voluntary churn rate averages 14% annually, with auto insurance at 18%
Credit card churn rates in the US were 20.5% in 2022, up from 18.2% in 2021 due to economic pressures
B2B SaaS median churn rate is 3.5% monthly for ARR under $1M, dropping to 1.2% for over $10M
Cable TV providers saw churn rates of 2.1% monthly in 2023 amid cord-cutting trends
Hotel loyalty program churn is 45% annually for mid-tier chains versus 32% for luxury
Mobile gaming apps have a day-30 churn rate of 75-80%
Energy utility churn rates average 10% annually in deregulated markets like Texas
Ride-sharing services like Uber report 15-20% monthly churn in urban areas
Online dating apps experience 42% churn after first month
Telecom churn in Europe averages 2.0% monthly, highest in UK at 2.4%
Retail banking app churn is 22% annually for millennials
VoIP services churn at 8.5% monthly for SMBs
Food delivery apps like DoorDash have 28% monthly churn
Cloud storage providers see 4% monthly churn for consumer plans
In subscription box services, beauty boxes churn at 15% monthly
Auto rental loyalty churn is 35% annually
EdTech platforms report 25% course completion churn
VPN services churn at 12% monthly due to performance issues
Pet insurance churn averages 22% annually, highest in first year at 40%
Freelance platforms like Upwork have 18% client churn quarterly
Meal kit services churn at 20-25% monthly
Social media management tools churn 6% monthly for agencies
E-sports betting apps show 30% monthly churn

Industry-Specific Churn Rates Interpretation

This collection of churn statistics reveals a universal, if cynical, truth of modern business: the average customer's loyalty is as durable as a New Year's gym resolution and as stable as a swipe-left dating app relationship.

Sources & References

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