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#productanalytics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #productanalytics, aggregated by home.social.

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  1. I had 1,011 users and a 74% resume-upload rate, but almost no one reached the product’s real value. Here’s what the funnel exposed. hackernoon.com/i-had-1011-saas #productanalytics

  2. I had 1,011 users and a 74% resume-upload rate, but almost no one reached the product’s real value. Here’s what the funnel exposed. hackernoon.com/i-had-1011-saas #productanalytics

  3. I had 1,011 users and a 74% resume-upload rate, but almost no one reached the product’s real value. Here’s what the funnel exposed. hackernoon.com/i-had-1011-saas #productanalytics

  4. I had 1,011 users and a 74% resume-upload rate, but almost no one reached the product’s real value. Here’s what the funnel exposed. hackernoon.com/i-had-1011-saas

  5. I had 1,011 users and a 74% resume-upload rate, but almost no one reached the product’s real value. Here’s what the funnel exposed. hackernoon.com/i-had-1011-saas #productanalytics

  6. Chán đoán lý do người dùng rời app, mình đã tự xây công cụ ghi lại phiên sử dụng: Nagraj-to.pl. Theo dõi chuyển động chuột, cuộn, click, phát hiện "rage click", xuất video/JSON, AI hỗ trợ phân tích. Dùng miễn phí, không cần thẻ. Cần feedback để cải thiện! Bạn muốn công cụ UX thế nào? #SaaS #UserExperience #ProductAnalytics #UX #PhânTíchNgườiDùng #CôngCụSaaS

    reddit.com/r/SaaS/comments/1q5

  7. Super đã nâng cấp theo dõi analytics frontend bằng Avo thay Google Sheets! Giải quyết versioning kém, quyền sở hữu mơ hồ, QA thủ công. Avo mang Tracking Plan (định nghĩa sự kiện rõ ràng) & Inspector (kiểm tra tự động), cải thiện hợp tác dev-data, fix bug nhanh, dữ liệu đáng tin cậy hơn cho Super Credit.

    #Analytics #Avo #Frontend #ProductAnalytics #Tech
    #PhanTichDuLieu #Frontend #CongNghe #Avo (248 ký tự)

    dev.to/superpayments/improving

  8. Super đã nâng cấp theo dõi analytics frontend bằng Avo thay Google Sheets! Giải quyết versioning kém, quyền sở hữu mơ hồ, QA thủ công. Avo mang Tracking Plan (định nghĩa sự kiện rõ ràng) & Inspector (kiểm tra tự động), cải thiện hợp tác dev-data, fix bug nhanh, dữ liệu đáng tin cậy hơn cho Super Credit.

    #Analytics #Avo #Frontend #ProductAnalytics #Tech
    #PhanTichDuLieu #Frontend #CongNghe #Avo (248 ký tự)

    dev.to/superpayments/improving

  9. Super đã nâng cấp theo dõi analytics frontend bằng Avo thay Google Sheets! Giải quyết versioning kém, quyền sở hữu mơ hồ, QA thủ công. Avo mang Tracking Plan (định nghĩa sự kiện rõ ràng) & Inspector (kiểm tra tự động), cải thiện hợp tác dev-data, fix bug nhanh, dữ liệu đáng tin cậy hơn cho Super Credit.

    #Analytics #Avo #Frontend #ProductAnalytics #Tech
    #PhanTichDuLieu #Frontend #CongNghe #Avo (248 ký tự)

    dev.to/superpayments/improving

  10. Super đã nâng cấp theo dõi analytics frontend bằng Avo thay Google Sheets! Giải quyết versioning kém, quyền sở hữu mơ hồ, QA thủ công. Avo mang Tracking Plan (định nghĩa sự kiện rõ ràng) & Inspector (kiểm tra tự động), cải thiện hợp tác dev-data, fix bug nhanh, dữ liệu đáng tin cậy hơn cho Super Credit.

    #Analytics #Avo #Frontend #ProductAnalytics #Tech
    #PhanTichDuLieu #Frontend #CongNghe #Avo (248 ký tự)

    dev.to/superpayments/improving

  11. Việc theo dõi hiệu suất sản phẩm AI rất quan trọng để chứng minh ROI, nhưng cần bảo vệ dữ liệu nhạy cảm. Một đề xuất mới trình bày phương pháp chuẩn hóa để theo dõi mức độ sử dụng AI mà không xâm phạm quyền riêng tư. Điều này giúp doanh nghiệp đánh giá hiệu quả các tính năng AI một cách an toàn.
    #AI #Privacy #ProductAnalytics #AIAnalytics #BảoMậtDữLiệu #PhânTíchSảnPhẩm

    reddit.com/r/programming/comme

  12. Looking for a new opportunity!

    I'm a data science generalist with 4+ years experience who brings breadth across analytics, operations research, and ML. Love solving messy and ambiguous business problems in this space with Python/R.

    If you know of roles where breadth + problem-solving curiosity are valued, I’d be grateful for a boost, a referral or a nudge.

    Message me here.

    #DataScience #DataAnalytics #OperationsResearch #OpenToWork #Python #RStats #ProductAnalytics #tech

  13. Looking for a new opportunity!

    I'm a data science generalist with 4+ years experience who brings breadth across analytics, operations research, and ML. Love solving messy and ambiguous business problems in this space with Python/R.

    If you know of roles where breadth + problem-solving curiosity are valued, I’d be grateful for a boost, a referral or a nudge.

    Message me here.

    #DataScience #DataAnalytics #OperationsResearch #OpenToWork #Python #RStats #ProductAnalytics #tech

  14. Looking for a new opportunity!

    I'm a data science generalist with 4+ years experience who brings breadth across analytics, operations research, and ML. Love solving messy and ambiguous business problems in this space with Python/R.

    If you know of roles where breadth + problem-solving curiosity are valued, I’d be grateful for a boost, a referral or a nudge.

    Message me here.

    #DataScience #DataAnalytics #OperationsResearch #OpenToWork #Python #RStats #ProductAnalytics #tech

  15. Looking for a new opportunity!

    I'm a data science generalist with 4+ years experience who brings breadth across analytics, operations research, and ML. Love solving messy and ambiguous business problems in this space with Python/R.

    If you know of roles where breadth + problem-solving curiosity are valued, I’d be grateful for a boost, a referral or a nudge.

    Message me here.

    #DataScience #DataAnalytics #OperationsResearch #OpenToWork #Python #RStats #ProductAnalytics #tech

  16. #Pan: A lightweight and privacy-focused #PHP #productanalytics library

    • 📊 Track impressions, hovers, and clicks using `data-pan` attribute
    • 🔒 Collects no personal information (IP, user agent, etc.)
    • 🛠️ Works with #Laravel, #Inertia, and #Livewire
    • 📈 Visualize analytics with `php artisan pan` command
    • 🚀 Easy installation: `composer require panphp/pan`
    • 🔧 Configurable: Limit of 50 analytics by default

    Key features:
    - Simple client-side JavaScript library
    - Event batching for improved performance
    - Server-side storage of analytic name and event counters

    Learn more: github.com/panphp/pan
    Video: youtu.be/hJJNi-Ri_3E?si=9IOGAi

  17. #Pan: A lightweight and privacy-focused #PHP #productanalytics library

    • 📊 Track impressions, hovers, and clicks using `data-pan` attribute
    • 🔒 Collects no personal information (IP, user agent, etc.)
    • 🛠️ Works with #Laravel, #Inertia, and #Livewire
    • 📈 Visualize analytics with `php artisan pan` command
    • 🚀 Easy installation: `composer require panphp/pan`
    • 🔧 Configurable: Limit of 50 analytics by default

    Key features:
    - Simple client-side JavaScript library
    - Event batching for improved performance
    - Server-side storage of analytic name and event counters

    Learn more: github.com/panphp/pan
    Video: youtu.be/hJJNi-Ri_3E?si=9IOGAi

  18. #Pan: A lightweight and privacy-focused #PHP #productanalytics library

    • 📊 Track impressions, hovers, and clicks using `data-pan` attribute
    • 🔒 Collects no personal information (IP, user agent, etc.)
    • 🛠️ Works with #Laravel, #Inertia, and #Livewire
    • 📈 Visualize analytics with `php artisan pan` command
    • 🚀 Easy installation: `composer require panphp/pan`
    • 🔧 Configurable: Limit of 50 analytics by default

    Key features:
    - Simple client-side JavaScript library
    - Event batching for improved performance
    - Server-side storage of analytic name and event counters

    Learn more: github.com/panphp/pan
    Video: youtu.be/hJJNi-Ri_3E?si=9IOGAi

  19. #Pan: A lightweight and privacy-focused #PHP #productanalytics library

    • 📊 Track impressions, hovers, and clicks using `data-pan` attribute
    • 🔒 Collects no personal information (IP, user agent, etc.)
    • 🛠️ Works with #Laravel, #Inertia, and #Livewire
    • 📈 Visualize analytics with `php artisan pan` command
    • 🚀 Easy installation: `composer require panphp/pan`
    • 🔧 Configurable: Limit of 50 analytics by default

    Key features:
    - Simple client-side JavaScript library
    - Event batching for improved performance
    - Server-side storage of analytic name and event counters

    Learn more: github.com/panphp/pan
    Video: youtu.be/hJJNi-Ri_3E?si=9IOGAi

  20. #Pan: A lightweight and privacy-focused #PHP #productanalytics library

    • 📊 Track impressions, hovers, and clicks using `data-pan` attribute
    • 🔒 Collects no personal information (IP, user agent, etc.)
    • 🛠️ Works with #Laravel, #Inertia, and #Livewire
    • 📈 Visualize analytics with `php artisan pan` command
    • 🚀 Easy installation: `composer require panphp/pan`
    • 🔧 Configurable: Limit of 50 analytics by default

    Key features:
    - Simple client-side JavaScript library
    - Event batching for improved performance
    - Server-side storage of analytic name and event counters

    Learn more: github.com/panphp/pan
    Video: youtu.be/hJJNi-Ri_3E?si=9IOGAi

  21. 🚀 The future of product analytics is looking bright!, with major trends driving growth:
    1️⃣ Algorithm-based analysis for advanced insights.
    2️⃣ Opinionated analytics for quick, reliable data.
    3️⃣ Closer ties between product, marketing & customer success for product-led growth.
    4️⃣ Account-based analytics for B2B SaaS.
    5️⃣ Higher data accuracy via server-side tracking.
    Let’s talk about how you can leverage these trends!
    💬 #ProductAnalytics #DataDriven

  22. 🚀 The future of product analytics is looking bright!, with major trends driving growth:
    1️⃣ Algorithm-based analysis for advanced insights.
    2️⃣ Opinionated analytics for quick, reliable data.
    3️⃣ Closer ties between product, marketing & customer success for product-led growth.
    4️⃣ Account-based analytics for B2B SaaS.
    5️⃣ Higher data accuracy via server-side tracking.
    Let’s talk about how you can leverage these trends!
    💬

  23. Attempt at networking post!

    Hi! I would love to meet and talk to more people in #dataScience #statistics #stats #pydata #dataViz etc etc

    I have a Phd in #appliedMath and I work in #productAnalytics

    I attend my local American Statistical Assoc meetings sometimes, but they are rare.

    I also helped start an R User Group once, (but haven't used R in more than 10 years), and ran a Big Data reading group in #pdx

    Please boost 😀

  24. Attempt at networking post!

    Hi! I would love to meet and talk to more people in #dataScience #statistics #stats #pydata #dataViz etc etc

    I have a Phd in #appliedMath and I work in #productAnalytics

    I attend my local American Statistical Assoc meetings sometimes, but they are rare.

    I also helped start an R User Group once, (but haven't used R in more than 10 years), and ran a Big Data reading group in #pdx

    Please boost 😀

  25. Attempt at networking post!

    Hi! I would love to meet and talk to more people in #dataScience #statistics #stats #pydata #dataViz etc etc

    I have a Phd in #appliedMath and I work in #productAnalytics

    I attend my local American Statistical Assoc meetings sometimes, but they are rare.

    I also helped start an R User Group once, (but haven't used R in more than 10 years), and ran a Big Data reading group in #pdx

    Please boost 😀

  26. Attempt at networking post!

    Hi! I would love to meet and talk to more people in #dataScience #statistics #stats #pydata #dataViz etc etc

    I have a Phd in #appliedMath and I work in #productAnalytics

    I attend my local American Statistical Assoc meetings sometimes, but they are rare.

    I also helped start an R User Group once, (but haven't used R in more than 10 years), and ran a Big Data reading group in #pdx

    Please boost 😀

  27. Attempt at networking post!

    Hi! I would love to meet and talk to more people in #dataScience #statistics #stats #pydata #dataViz etc etc

    I have a Phd in #appliedMath and I work in #productAnalytics

    I attend my local American Statistical Assoc meetings sometimes, but they are rare.

    I also helped start an R User Group once, (but haven't used R in more than 10 years), and ran a Big Data reading group in #pdx

    Please boost 😀