#churnrate — Public Fediverse posts

ICYMI: AI apps earn 41% more per user but churn 30% faster, RevenueCat finds: RevenueCat's 2026 State of Subscription Apps report, built on 115,000 apps and $16B revenue, reveals AI apps earn more but retain users far less than traditional apps. https://ppc.land/ai-apps-earn-41-more-per-user-but-churn-30-faster-revenuecat-finds/ #AIApps #SubscriptionApps #RevenueCat #AppRetention #ChurnRate

ICYMI: AI apps earn 41% more per user but churn 30% faster, RevenueCat finds: RevenueCat's 2026 State of Subscription Apps report, built on 115,000 apps and $16B revenue, reveals AI apps earn more but retain users far less than traditional apps. https://ppc.land/ai-apps-earn-41-more-per-user-but-churn-30-faster-revenuecat-finds/ #AIApps #SubscriptionApps #RevenueCat #AppRetention #ChurnRate

ICYMI: AI apps earn 41% more per user but churn 30% faster, RevenueCat finds: RevenueCat's 2026 State of Subscription Apps report, built on 115,000 apps and $16B revenue, reveals AI apps earn more but retain users far less than traditional apps. https://ppc.land/ai-apps-earn-41-more-per-user-but-churn-30-faster-revenuecat-finds/ #AIApps #SubscriptionApps #RevenueCat #AppRetention #ChurnRate

AI apps earn 41% more per user but churn 30% faster, RevenueCat finds: RevenueCat's 2026 State of Subscription Apps report, built on 115,000 apps and $16B revenue, reveals AI apps earn more but retain users far less than traditional apps. https://ppc.land/ai-apps-earn-41-more-per-user-but-churn-30-faster-revenuecat-finds/ #AIApps #SubscriptionApps #ChurnRate #RevenueCat #AppRevenue

AI apps earn 41% more per user but churn 30% faster, RevenueCat finds: RevenueCat's 2026 State of Subscription Apps report, built on 115,000 apps and $16B revenue, reveals AI apps earn more but retain users far less than traditional apps. https://ppc.land/ai-apps-earn-41-more-per-user-but-churn-30-faster-revenuecat-finds/ #AIApps #SubscriptionApps #ChurnRate #RevenueCat #AppRevenue

AI apps earn 41% more per user but churn 30% faster, RevenueCat finds: RevenueCat's 2026 State of Subscription Apps report, built on 115,000 apps and $16B revenue, reveals AI apps earn more but retain users far less than traditional apps. https://ppc.land/ai-apps-earn-41-more-per-user-but-churn-30-faster-revenuecat-finds/ #AIApps #SubscriptionApps #ChurnRate #RevenueCat #AppRevenue

Antenna released their 2025 State of Subscriptions report. #Churn focused highlights:

- #SVOD #churnrate was fairly stable in 2025, but with a big spike on Disney/Hulu due to Jimmy Kimmel's brief "indefinite" suspension 😆

- Average SVOD churn 4.6% monthly

- 40% of churned subscribers returned within 12 months = Winback for the Win!

Antenna released their 2025 State of Subscriptions report. #Churn focused highlights:

- #SVOD #churnrate was fairly stable in 2025, but with a big spike on Disney/Hulu due to Jimmy Kimmel's brief "indefinite" suspension 😆

- Average SVOD churn 4.6% monthly

- 40% of churned subscribers returned within 12 months = Winback for the Win!

Antenna released their 2025 State of Subscriptions report. #Churn focused highlights:

- #SVOD #churnrate was fairly stable in 2025, but with a big spike on Disney/Hulu due to Jimmy Kimmel's brief "indefinite" suspension 😆

- Average SVOD churn 4.6% monthly

- 40% of churned subscribers returned within 12 months = Winback for the Win!

Antenna released their 2025 State of Subscriptions report. #Churn focused highlights:

- #SVOD #churnrate was fairly stable in 2025, but with a big spike on Disney/Hulu due to Jimmy Kimmel's brief "indefinite" suspension 😆

- Average SVOD churn 4.6% monthly

- 40% of churned subscribers returned within 12 months = Winback for the Win!

Antenna released their 2025 State of Subscriptions report. #Churn focused highlights:

- #SVOD #churnrate was fairly stable in 2025, but with a big spike on Disney/Hulu due to Jimmy Kimmel's brief "indefinite" suspension 😆

- Average SVOD churn 4.6% monthly

- 40% of churned subscribers returned within 12 months = Winback for the Win!

**TTFV - Chỉ số định mệnh cho tăng trưởng SaaS nhưng ít ai nói đến!**
Thời gian đạt giá trị đầu tiên (TTFV) quyết định khả năng giữ chân khách hàng, tăng giới thiệu và đơn giản hóa quy trình Onboarding. Một TTFV nhanh có thể giảm 50% tỷ lệ rời bỏ, tối ưu chỉ với vài thay đổi nhỏ. Bạn từng gặp chỉ số ẩn giấu nào tác động mạnh đến tăng trưởng SaaS? #SaaS #SảnPhẩmKỹThuật #MRR #GrowthHacking #ChurnRate

https://www.reddit.com/r/SaaS/comments/1qsy1ku/the_single_metric_that_can_make_or_break_your/

Chúng ta quá tập trung vào CAC (chi phí thu hút) mà bỏ lỡ vấn đề quan trọng: Tỷ lệ rời bỏ. Giảm 2% khách hàng rời bỏ có thể làm tăng LTV 50%, ROI cho giữ chân khách lên tới 5-10x so với chi tiền thu hút. Các công ty SaaS có lợi nhuận cao không cần ngân sách marketing lớn, họ chỉ giữ khách bằng cách coi hỗ trợ khách hàng là trung tâm lợi nhuận. #SaaS #LTV #ChurnRate #KPI #QuảnTrịDoanhNghiệp #BI #TiếtKiệmChiPhí

https://www.reddit.com/r/SaaS/comments/1qsawje/were_obsessed_with_cac_when_we_should_b

"Xây dựng hệ thống phát hiện 'Rủi ro hủy đăng ký' cho SaaS. Hệ thống này sử dụng AI để phân tích hành vi người dùng và gửi thông báo khi họ có nguy cơ hủy đăng ký. #SaaS #ChurnRate #FlightRisk #PhânTíchHànhVi #TríTuệNạoTạo #CôngNghệ"

https://www.reddit.com/r/SaaS/comments/1qs47rt/every_saas_tracks_churn_but_who_is_predicting_it/

NPS 72 – tưởng tốt, nhưng khách vẫn rời. NPS đo mức độ hài lòng sản phẩm, nhưng không dự đoán được rời bỏ. Khách rời vì lý do bên ngoài: ngân sách, thay đổi đội ngũ, ưu tiên mới. Bắt đầu hỏi thêm bối cảnh kinh doanh – phát hiện cảnh báo sớm. Đừng chỉ tin NPS. Hiểu ngữ cảnh mới giữ chân khách thật sự. #NPS #CustomerRetention #SaaS #ChurnRate #GiữKháchHàng #DoanhNghiệp #B2B

https://www.reddit.com/r/SaaS/comments/1qlkyba/our_nps_was_72_customers_were_still_churning/

🔥 Beta test công cụ giảm rời rạc SaaS – Thử 14 ngày MIỄN PHÍ! Nhà sáng lập với MRR $1K+/100+ người dùng & sử dụng Stripe thử ngay. Được giảm 50% tỷ lệ rời rạc thì mới trả phí! 🎁 Deal trọn đời cho phiên bản beta. #SaaS #Startup #KinhDoanh #ChurnRate #Business #SaaSVietnam

https://www.reddit.com/r/SideProject/comments/1pvj2yk/looking_for_5_saas_founders_to_beta_test_a/

Phân tích 127K+ đánh giá ứng dụng tiết lộ 5 vấn đề chính gây mất người dùng:
1. Lỗi đăng nhập/xác thực (~22%)
2. Ứng dụng sập/đóng băng (~18%)
3. Khó khăn khi làm quen (~15%)
4. Vấn đề thanh toán/đăng ký (~12%)
5. Hiệu suất chậm/giật lag (~11%)
Các nhà phát triển nên ưu tiên khắc phục những lỗi này để giữ chân người dùng!

#AppDevelopment #MobileApps #ChurnRate #UX #PhátTriểnỨngDụng #ỨngDụngDiĐộng

https://www.reddit.com/r/SideProject/comments/1punqxh/i_analyzed_127k_app_reviewshere_are_the_5/

Phân tích 127K+ đánh giá app, đây là 5 lý do chính khiến người dùng bỏ ứng dụng: 1. Lỗi đăng nhập (22%), 2. App bị crash (18%), 3. Khó sử dụng ban đầu (15%), 4. Vấn đề thanh toán (12%), 5. Hiệu suất chậm (11%). Khắc phục các vấn đề này giúp giữ chân người dùng hiệu quả!

#AppDevelopment #ChurnRate #UserExperience #MobileApps #PhátTriểnỨngDụng #TrảiNghiệmNgườiDùng #TỷLệBỏApp

https://www.reddit.com/r/SaaS/comments/1punoxf/i_analyzed_127k_app_reviewshere_are_the_5/

Tỷ lệ thoát (churn rate) 8% cho SaaS có hơn 500 người dùng và hoạt động trên 1 năm là tốt hay xấu? Cần ý kiến từ cộng đồng! #SaaS #ChurnRate #DoanhNghiep #Marketing

https://www.reddit.com/r/SaaS/comments/1pncehn/how_much_is_your_churn_rate/

87% nhà sáng lập SaaS không biết chính xác tỷ lệ rời bỏ, tính toán thủ công tốn 3-4 giờ/tháng với sai số ~40%. Sai 2-3% dẫn đến quyết định sai lầm trị giá $10-20K/năm. Giải pháp: Công cụ theo dõi theo thời gian thực như MicroMetrics (9$/tháng). #SaaS #ChurnRate #QuảnTrịDoanhNghiệp #Startup #KPI

https://www.reddit.com/r/SaaS/comments/1pklp20/why_87_of_saas_founders_dont_know_their_real/

Giảm tỷ lệ khách hàng rời bỏ từ 18% xuống 5%: ❌ Thưởng phần mềm, ❌ Email hướng dẫn, ❌ Giảm giá! ✔️ Gọi khách ngưng dùng feature chính, ✔️ Theo dõi hành vi (ví dụ: tần suất đăng nhập giảm), ✔️ Dựa vào tín hiệu sớm. Công cụ theo dõi hành vi giúp dự đoán chủ động. #SaaS #ChurnRate #CustomerRetention #KinhDoanh #TechTips

https://www.reddit.com/r/SaaS/comments/1p15wdo/after_managing_140_customers_solo_heres_what/

Khách hàng hài lòng bất ngờ hủy đăng ký mà không lý do. Không có khiếu nại, không hỗ trợ, chỉ im lặng hủy bỏ. Làm thế nào để tìm hiểu lý do thật sự? #ChurnRate #KháchHàng #SaaS #HủyĐăngKý #TỷLệHủy #CustomerRetention #ĐặtMụcTiêu

https://www.reddit.com/r/SaaS/comments/1ozoajz/churn_is_weird_happy_customers_cancel_without/

Khách hàng thường không trung thực khi trả lời khảo sát vì sợ nói thật. Họ thường nói sản phẩm tốt nhưng không dùng hiện tại. Làm thế nào để có được phản hồi thực sự? #KhachHang #KhaoSat #PhanHoi #Customer #Survey #Feedback #ChurnRate #TieuThuc #TrungThuc

https://www.reddit.com/r/SaaS/comments/1ox5qss/why_does_every_customer_lie_during_churn_surveys/

Tỷ lệ khách hàng rời đi của tôi không có ý nghĩa toán học. Khách hàng đăng ký, hài lòng, rồi im lặng rời đi sau 40-70 ngày. #TỷLệRờiĐi #ChurnRate #DịchVụĐăngKý #SubscriptionService #SaaS #DoanhNghiệp

https://www.reddit.com/r/SaaS/comments/1ox1hj4/my_churn_rate_makes_no_mathematical_sense/

Học tổng hợp 6 bướcсни giảm tỷ lệपुरpleolas tháng thấp nhất tại B2B SaaS.{#B2B_SaaS #ChurnRate}
1. Narrow thông điệp mục tiêu ICP tại mọichwANOVA.
2. T Economía từ Site Audit → GSC insights.
3. Tăng giá làm giảm khách hàng không phù hợp.
4. Cách up Miêu danh thông qua onboarding.
5. Linh hoạt kênh marketing: SEO & LinkedIn.
6. Khuyen mãn khuyếch miễn học để tăng giữ.

Tiếp theo: Nâng cấp UX, hoàn tính GSC insights,OLDER marketing.{#SEO #Vai trò巨大}
Luôn báo cảm ơn các bạn chia sẻ

Các founder SaaS thường bỏ quên quy trình hủy dịch vụ, gây mất khách hàng và dữ liệu quý giá, nhân đôi chi phí thực tế. Tối ưu hóa "cancel flow" bằng cách thu thập phản hồi, đưa ra ưu đãi phù hợp (giảm giá, tạm dừng) có thể giữ chân 60-70% khách hàng. Đừng quên tuân thủ luật "click-to-cancel". Giảm tỷ lệ churn hiệu quả hơn nhiều so với tăng đăng ký mới.

#SaaS #GiữChânKháchHàng #ChurnRate #KinhDoanhSaaS #CustomerRetention #ChurnReduction #BusinessTips

https://www.reddit.com/r/SaaS/comments/1o3n

#KnowledgeSharing session:

When dealing with low performance problems in #Prometheus servers, the two most common causes are high cardinality and high churn rate.

#cardinality represents how variable a metric is, as a combination of the variability of its labels. For example, a metric with five labels where each can have ten different values has a cardinality of 10**5. This means that in the worst case, your Prometheus server will be storing 100k data points per scrape for this time series alone. At this scale, every little optimisation counts. Reducing the variability of a single label by half reduces the cardinality of the time series by half, saving you 50k data points per scrape. Similarly, reducing the variability of each label by just one point makes the time series cardinality 9**5, which comes to just over 59k.

#ChurnRate is the rate in which old time series are replaced with new ones. For example, a workload that runs as a cron job and includes the PID as a label will churn every time the job executes, because it will be a new process. High churn rate tends to kill Prometheus server performance because it invalidates the in-memory caches of the server, leading to higher write costs.

One thing to point out is that churn rate and cardinality are not necessarily coupled. Yes, higher cardinality will lead to higher churn rate, but a metric that cycles labels between numbers 1 and 100 can still cause churn, and a series with high cardinality labels (such as VM names when running thousands of VMs) does not imply high churn if the labels stay consistent. However, time series that significantly impact Prometheus server performance do frequently show high cardinality and high churn rate at the same time.

#KnowledgeSharing session:

When dealing with low performance problems in #Prometheus servers, the two most common causes are high cardinality and high churn rate.

#cardinality represents how variable a metric is, as a combination of the variability of its labels. For example, a metric with five labels where each can have ten different values has a cardinality of 10**5. This means that in the worst case, your Prometheus server will be storing 100k data points per scrape for this time series alone. At this scale, every little optimisation counts. Reducing the variability of a single label by half reduces the cardinality of the time series by half, saving you 50k data points per scrape. Similarly, reducing the variability of each label by just one point makes the time series cardinality 9**5, which comes to just over 59k.

#ChurnRate is the rate in which old time series are replaced with new ones. For example, a workload that runs as a cron job and includes the PID as a label will churn every time the job executes, because it will be a new process. High churn rate tends to kill Prometheus server performance because it invalidates the in-memory caches of the server, leading to higher write costs.

One thing to point out is that churn rate and cardinality are not necessarily coupled. Yes, higher cardinality will lead to higher churn rate, but a metric that cycles labels between numbers 1 and 100 can still cause churn, and a series with high cardinality labels (such as VM names when running thousands of VMs) does not imply high churn if the labels stay consistent. However, time series that significantly impact Prometheus server performance do frequently show high cardinality and high churn rate at the same time.

My Favorite #Subscription report is back! The Zuora Subscription Economy index reports "#Churn leveled off (in 2024) and declined slightly across industries in the SEI after spiking in 2023 due mainly to rising interest rates"

Its my favorite because I created it back in 2016. Wow, time flies! #churnrate #analytics #subscriptioneconomy

My Favorite #Subscription report is back! The Zuora Subscription Economy index reports "#Churn leveled off (in 2024) and declined slightly across industries in the SEI after spiking in 2023 due mainly to rising interest rates"

Its my favorite because I created it back in 2016. Wow, time flies! #churnrate #analytics #subscriptioneconomy

My Favorite #Subscription report is back! The Zuora Subscription Economy index reports "#Churn leveled off (in 2024) and declined slightly across industries in the SEI after spiking in 2023 due mainly to rising interest rates"

Its my favorite because I created it back in 2016. Wow, time flies! #churnrate #analytics #subscriptioneconomy

My Favorite #Subscription report is back! The Zuora Subscription Economy index reports "#Churn leveled off (in 2024) and declined slightly across industries in the SEI after spiking in 2023 due mainly to rising interest rates"

Its my favorite because I created it back in 2016. Wow, time flies! #churnrate #analytics #subscriptioneconomy

My Favorite #Subscription report is back! The Zuora Subscription Economy index reports "#Churn leveled off (in 2024) and declined slightly across industries in the SEI after spiking in 2023 due mainly to rising interest rates"

Its my favorite because I created it back in 2016. Wow, time flies! #churnrate #analytics #subscriptioneconomy

Apple TV + feels the #Churn reported by Yahoo Finance: #churnrate 's from the Antenna report which I shared previously : Apple TV has 7% monthly churn, compared to Netflix's 2%

https://finance.yahoo.com/news/apple-is-reportedly-losing-1-billion-a-year-on-its-streaming-service-as-churn-levels-increase-172901811.html.

Apple TV + feels the #Churn reported by Yahoo Finance: #churnrate 's from the Antenna report which I shared previously : Apple TV has 7% monthly churn, compared to Netflix's 2%

https://finance.yahoo.com/news/apple-is-reportedly-losing-1-billion-a-year-on-its-streaming-service-as-churn-levels-increase-172901811.html.

Apple TV + feels the #Churn reported by Yahoo Finance: #churnrate 's from the Antenna report which I shared previously : Apple TV has 7% monthly churn, compared to Netflix's 2%

https://finance.yahoo.com/news/apple-is-reportedly-losing-1-billion-a-year-on-its-streaming-service-as-churn-levels-increase-172901811.html.

Apple TV + feels the #Churn reported by Yahoo Finance: #churnrate 's from the Antenna report which I shared previously : Apple TV has 7% monthly churn, compared to Netflix's 2%

https://finance.yahoo.com/news/apple-is-reportedly-losing-1-billion-a-year-on-its-streaming-service-as-churn-levels-increase-172901811.html.

Apple TV + feels the #Churn reported by Yahoo Finance: #churnrate 's from the Antenna report which I shared previously : Apple TV has 7% monthly churn, compared to Netflix's 2%

https://finance.yahoo.com/news/apple-is-reportedly-losing-1-billion-a-year-on-its-streaming-service-as-churn-levels-increase-172901811.html.

Business Word of the Day- Churn Rate - This is something to watch for as you should know why you are losing client/customers in order to turn around the negative #. #churnrate #business #client #customer

Business Word of the Day- Churn Rate - This is something to watch for as you should know why you are losing client/customers in order to turn around the negative #. #churnrate #business #client #customer

Business Word of the Day- Churn Rate - This is something to watch for as you should know why you are losing client/customers in order to turn around the negative #. #churnrate #business #client #customer

Serial #Churn is up!

According to New Antenna Group #SVOD #churnrate stats : Serial churners make up 23% of users but account for 42% of cancels.

Great stats in their 2024 #Subscription Insights - I highly recommend it if you're in SVOD or #SaaS https://www.antenna.live/post/antennas-2024-top-subscription-insights

Serial #Churn is up!

According to New Antenna Group #SVOD #churnrate stats : Serial churners make up 23% of users but account for 42% of cancels.

Great stats in their 2024 #Subscription Insights - I highly recommend it if you're in SVOD or #SaaS https://www.antenna.live/post/antennas-2024-top-subscription-insights

Serial #Churn is up!

According to New Antenna Group #SVOD #churnrate stats : Serial churners make up 23% of users but account for 42% of cancels.

Great stats in their 2024 #Subscription Insights - I highly recommend it if you're in SVOD or #SaaS https://www.antenna.live/post/antennas-2024-top-subscription-insights

Serial #Churn is up!

According to New Antenna Group #SVOD #churnrate stats : Serial churners make up 23% of users but account for 42% of cancels.

Great stats in their 2024 #Subscription Insights - I highly recommend it if you're in SVOD or #SaaS https://www.antenna.live/post/antennas-2024-top-subscription-insights

Serial #Churn is up!

According to New Antenna Group #SVOD #churnrate stats : Serial churners make up 23% of users but account for 42% of cancels.

Great stats in their 2024 #Subscription Insights - I highly recommend it if you're in SVOD or #SaaS https://www.antenna.live/post/antennas-2024-top-subscription-insights

The latest #SVOD #Churnrate from Antenna - this compares premium SVOD with specialties (e.g. BET+, Crunchyroll) but there are several other interesting things like the January #churn "bump" which is due to cancellations following holiday promos.

The latest #SVOD #Churnrate from Antenna - this compares premium SVOD with specialties (e.g. BET+, Crunchyroll) but there are several other interesting things like the January #churn "bump" which is due to cancellations following holiday promos.

The latest #SVOD #Churnrate from Antenna - this compares premium SVOD with specialties (e.g. BET+, Crunchyroll) but there are several other interesting things like the January #churn "bump" which is due to cancellations following holiday promos.

The latest #SVOD #Churnrate from Antenna - this compares premium SVOD with specialties (e.g. BET+, Crunchyroll) but there are several other interesting things like the January #churn "bump" which is due to cancellations following holiday promos.