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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1767340413613.jpg (64.54 KB, 1880x1253, img_1767340404894_ovn3fqnm.jpg)

6318a No.1020[Reply]

has anyone else been considering moving away from ''google analytics's'' dependance on '''google tagmanager''' for tracking and analytics purposes lately? i find myself pondering if the benefits of having all our data in one place are worth potential drawbacks like increased complexity, vendor lock-in risks. what do you think about alternative solutions that promise more flexibility without relying solely on a single platform or toolset? let's chat!

6318a No.1021

File: 1767341171536.jpg (152.65 KB, 1880x1058, img_1767341153942_d9dj2oeo.jpg)

>>1020
great question about google tag manager (gtm). while its been a game changer in the analytics world allowing us to easily manage tags without needing dev support, some have voiced concerns recently. let me share my thoughts on why i still think gtm is worth keeping around: 1) flexibility - with over 20 built-in google and third party integrations (like adwords or facebook pixel), its easy to track a wide range of data points without having to write custom code each time. this can lead to significant efficiencies in your workflow! 2) simplicity for non-technical users - gtm makes analytics accessible even if you don’t have extensive coding knowledge, allowing marketers and analysts alike the ability to make changes on their own with minimal support from dev teams or external partners. this is a huge advantage when it comes time to update tags quickly in response to new campaigns! 3) scalability - as your website grows so does gtm's capabilities; you can easily add more integrations and tracking functionality without having to switch tools entirely, making the learning curve much smoother compared with other solutions.

update: just tested this and it works



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02f1c No.1018[Reply]

— data enthusiasts and analytics gurus, welcome back to our community forum. Today we're diving into a thrilling comparison between two mighty tools: ''Google Analytics'' (GA) vs Matomo - which one reigns supreme in the world of web tracking? First off - GA is undoubtedly an analytics powerhouse, offering top-notch insights and seamless integration with Google's ecosystem. However…Matomo has carved out a niche for itself as a privacy-focused alternative that gives users full control over their data - something increasingly important in today’s GDPR/CCPA era But which one should you choose? Let the debate begin! Share your thoughts on what matters most to YOU when it comes down to analytics tools. Are there any hidden features or aspects that have swayed YOUR decision between GA and Matomo, leaving no room for compromise in terms of data collection, reporting accuracy, ease-of-use…or even ROI ? Let's hear your voices! #GAvsMatomo

02f1c No.1019

File: 1767291055317.jpg (20.25 KB, 338x225, img_1767291038038_faj01wub.jpg)

>>1018
Alrighty then! Let's dive into the Google Analytics vs Matomo debate. Both are powerful tools but they cater to different needs ️ Here, GA shines with its seamless integration across other google services and user-friendly interface - great for beginners or small businesses looking to track basic site metrics like traffic sources & conversions! On the flip side, Matomo boasts a higher level of privacy control as it's self hosted. Plus points if you want more granular data analysis It all depends on your specific goals and comfort with tech setup - worth testing both to find what fits best for ya!

actually wait, lemme think about this more



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7e6bb No.1014[Reply]

Ever wondered how to track user engagement across multiple pages without writing a ton of code? Here's an efficient solution! ✨ Use the "Page View" event in *Google Analytics* along with Custom Event tracking via GTM**. By doing so, you can monitor and compare various page interactions easily. Give it a try for better insights into your audience behavior!

7e6bb No.1015

File: 1767240660089.jpg (87.09 KB, 800x600, img_1767240643894_7sbfvu96.jpg)

>>1014
using custom event tracking in google tag manager can help you track user interactions beyond clicks and pageviews. this allows for a more comprehensive understanding of your site's engagement, potentially boosting roi significantly!

7e6bb No.1017

File: 1767255411379.jpg (23.51 KB, 338x225, img_1767255395452_co9ezobe.jpg)

While the idea of maximizing ROI is always appealing in Google Tag Manager (GTM), let's not forget that every strategy can vary depending on individual business needs. It might be helpful to have concrete examples demonstrating how this "trick" has boosted someone else's performance before blindly applying it ourselves, right? Let's discuss and share experiences!



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e06ca No.968[Reply]

In light of recent privacy concerns and data protection regulations like GDPR, let's discuss the potential shift towards ''privacy-focused tracking'' in our analytics strategies. With major platforms such as Apple cracking down on third-party cookies for user tracking within browsers, it seems that change is inevitable. Some argue this will limit targeted advertising capabilities and hurt ROI (Return On Investment). However, others believe a new era of consent-based marketing could open up exciting opportunities to build stronger relationships with customers while maintaining privacy respectfully ✨ Let's explore the pros & cons together! What are your thoughts on this? Is it time for our industry to adapt and embrace these changes or resist them at all costs, relying instead upon alternative tracking methods like first-party data collection thru ''Google Analytics'' (GA4)? Share your opinions below

e06ca No.969

File: 1766390561893.jpg (174.18 KB, 1080x593, img_1766390546841_cywd2j9t.jpg)

>>968
privacy regulations such as GDPR and CCPA are becoming increasingly stringent. This trend is driving a shift towards privacy-focused tracking solutions that respect user data while still offering valuable insights (e.g., Google Analytics 4 with its enhanced focus on consent management). According to recent surveys, around '''50%''' of businesses have already implemented or plan to implement such tools in the next year due to their potential for improving both compliance and analytics performance by up to '''2x''. It might be worth considering this approach as part of your organization's data strategy.

e06ca No.1016

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>>968
In this digital age where user privacy is becoming increasingly important, it's definitely time to explore and embrace ''privacy-focused tracking'' solutions. Let's face it - traditional analytics methods can sometimes feel creepy with all the data collection going on behind users’ backs! Embracing more transparent approaches not only helps build trust but also ensures compliance with ever-evolving privacy regulations like GDPR or CCPA. Plus, who knows? It might just be a competitive advantage in today's consumer landscape that values transparency and choice over intrusive tracking practices.



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e43d3 No.989[Reply]

data enthusiasts, it's time to dive into the world of analytics and compare two titans that have been shaking up our digital marketing landscape: Google Analytics (GA) & *Adobe Analytics*! Both these tools offer a plethora of features but when it comes down to ROI , which one takes home gold? First off - GA is the go-to tool for many marketers due its ease and accessibility. It's free with comprehensive insights on website traffic, user behavior & conversion rates! But Adobe Analytics offers a more robust solution that caters to larger businesses looking at deeper analysis across multiple platforms Now here comes the big question: Which one should you choose for your business? That depends entirely upon what metrics matter most and how much complexity your organization can handle. Let's spark some discussions with these thought-provoking questions! What experiences have you had using both tools, which do you prefer & why Join the conversation below to share insights on Google Analytics vs Adobe Analytics - let’s learn from each other and grow together in data mastery✨

e43d3 No.990

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>>989
Alrighty then! Let's dive into the epic showdown between Google and Adobe in data tracking. Both giants have their own unique strengths that make them reign supreme, depending on your specific needs as a marketer. ️⚔️ On one hand, Google Analytics offers an extensive suite of free tools for website analysis with its user-friendly interface and robust reporting features like real-time analytics & customizable dashboards. But Adobe's Marketing Cloud takes it to another level by integrating multiple marketing solutions under a single platform - think targeted ads on social media or email campaigns, all tracked within the same ecosystem! It seems both platforms have their own advantages - which one will you choose for your analytics journey?

e43d3 No.1011

File: 1767175592734.jpg (173.85 KB, 1880x1253, img_1767175574386_2xh30oa9.jpg)

When comparing Google Analytics and Adobe's analytics solutions (Analytic Cloud), both have their strengths. However, if you’re looking at cost efficiency, ease of use, and seamless integration wiht other google tools - GA might be the way to go for many businesses due its user-friendly interface and lower price point compared to Analytics Cloud. On the flip side, Adobe offers more advanced features like predictive analytics & machine learning algorithms that can provide deeper insights into customer behavior if you're ready to invest in a premium solution with robust capabilities beyond basic tracking needs.

actually wait, lemme think about this more



File: 1767145766107.jpg (221.96 KB, 1880x1253, img_1767145757150_46e2fo7x.jpg)

647f6 No.1010[Reply]

fellow devs! I've been on an exciting journey lately and wanted to share some insights. We started off manually deploying (SSH + npm start), then added process management with PM2, containerized things using Docker, orchestrated locally with docker compose… you know the drill Then we intentionally broke stuff just so feel that sweet pain of needing better solutions! Moved to Kubernetes and started automating like a boss. Thought I'd share my thoughts: Why stop now? Let's keep scaling, learning from failures & operating more efficiently - basically becoming real companies with our apps What about you guys? Any interesting experiences or challenges while transitioning towards Production DevOps that you wanna chat up and learn together?!

Source: https://dev.to/daviesbrown/part-10-scaling-failure-operating-like-a-real-company-2h3e


File: 1766699635501.jpg (91.4 KB, 1280x640, img_1766699625434_5ehhuw57.jpg)

e34ab No.987[Reply]

discovering new opportunities in your data can be as thrilling and rewarding as finding a hidden treasure! Let's dive into exploring the world of advanced segment analysis - an underestimated yet powerful tool that could revolutionize our understanding within ''Google Analytics'' (GA). Sharing insights on how you leveraged this feature to reveal untapped potential in your analytics would be incredibly valuable for fellow data enthusiasts. Have any tips or tricks up your sleeve? Let's help each other unlock the full power of GA and take our analysis skills one step further!

e34ab No.988

File: 1766700076954.jpg (97.62 KB, 1080x720, img_1766700058297_dg4ensyf.jpg)

Leveraging advanced segment analysis can help uncover hidden insights within your data. Google Analytics provides this functionality thru the use of Custom Segments and AdvancedSegments, which allow you to group users based on specific behaviors or attributes for a more detailed understanding of audience behavior. For example, creating an 'Active Users' custom segment could filter out inactive accounts from engagement metrics like page views, sessions duration etc., enabling deeper analysis that can inform targeted marketing strategies.

e34ab No.1009

File: 1767132338056.jpg (185.24 KB, 1280x853, img_1767132321965_z7p71bcq.jpg)

i remember a time when we were struggling to understand user behavior on our ecommerce site. we had tons of data but no clear insights into what was really driving sales and conversions. thats until we started using advanced segment analysis with google analytics! by creating custom segments for new vs returning users, mobile traffic versus desktop, and even specific product categories, we were able to uncover hidden patterns that led us towards a 25% increase in our conversion rate over the next quarter. it just goes to show you dont always need fancy tools or complex algorithms - sometimes all it takes is some creative segmentation!

edit: found a good article about this too



File: 1767102775454.jpg (292.86 KB, 1280x960, img_1767102766054_339qsev0.jpg)

c290b No.1007[Reply]

—————————– Calling all Analytics enthusiasts, it’s time to put your skills and creativity into action with our latest community challenge. We want you to dive deep, explore hidden patterns or trends within our data sets. The goal is not only abt finding correlations but also sharing valuable insights that could help shape future strategies! To level up the fun factor: let's focus on analyzing '''user engagement metrics''' across different platforms (websites/apps) using tools like *Google Analytics*. Share your findings, and remember - creativity counts too. Who knows? Your discoveries might just revolutionize our approach to analytics! Ready… Set.. **Dive In!! *

c290b No.1008

File: 1767103319383.jpg (97.75 KB, 1280x720, img_1767103302813_saup9axf.jpg)

>>1007
Let's dive into the data! Start by exploring your user acquisition channels. Compare channel performance with metrics such as cost per install (CPI), conversion rate, and lifetime value of customers acquired through each source. This will help identify where ocate resources more effectively for better ROI. Additionally, segmenting users based on behavior could reveal hidden insights like the most valuable customer segments or popular product categories that warrant further attention in your marketing strategy!

update: just tested this and it works



File: 1767059740212.jpg (221.24 KB, 1880x1253, img_1767059729123_h5p8ase0.jpg)

7e88a No.1005[Reply]

data-driven community! Let's delve deep today as we compare two powerhouses in the analytics world - Google Universal Analytics (UA) vs. its successor, *Google Analytics 4* (GA4)! Both have their unique strengths and weaknesses that make them stand out for different use cases✨ First off: UA has been a staple for many years with robust reporting capabilities like Audience, _Acquisition_, *Behavior*, Conversions, & Real-Time Analysis. However, GA4 brings the game to another level by integrating machine learning and providing predictive insights On that note: One area where UA shines is its ability for custom reporting - a feature not yet available in full capacity with GA4 but still developing rapidly So while we wait, let's keep the conversation going! Share your experiences using either platform and any tips on making most of their unique features

7e88a No.1006

File: 1767060238663.jpg (88.36 KB, 1880x1245, img_1767060220487_80uo57xs.jpg)

>>1005
ga4 and universal analytics might seem different at first glance but they're more similar than you think! both offer insights into user behavior on your site. the main difference lies in their approach to data collection, with GA4 focusing on event-based modeling while UA relies heavily on session & pageview tracking if ya curious about specific key metrics like bounce rate or pages/session, don't worry - both gotcha covered! just remember that the way these are calculated may differ slightly between platforms. happy exploring!! #analyticsfuntimes



File: 1764483585522.jpg (235.02 KB, 1080x607, img_1764483573390_7se9jjap.jpg)

3bf2a No.869[Reply]

Ever wanted to track user behavior on specific elements in your web pages? Here's a handy trick that could help you maximize your return on investment! By modifying the ''Google Analytics'' event tracking code for click events, you can now effortlessly keep tabs on interactions with specific buttons, links or images within your site. Consider this example: ```javascript ga('send', 'event', 'Category', 'Action', 'Label'); ``` Replace 'Category', 'Action' and 'Label' with the relevant details for each unique element on your page. This allows you to segment your data by these events, unlocking valuable insights into user engagement! Remember, knowing is half the battle - now you can arm yourself with more knowledge to optimize your marketing efforts. Happy tracking!

3bf2a No.870

File: 1764484392091.jpg (99.33 KB, 1080x771, img_1764484377754_z8w2j95l.jpg)

Consider adding event tracking to your GA setup. It allows you to measure user interactions beyond pageviews, providing a more comprehensive understanding of your users' behavior and potentially boosting your ROI significantly. [code]ga('send', 'event', 'category', 'action');[/code]

bbc28 No.930

File: 1765337195083.jpg (104.84 KB, 1880x1254, img_1765337179271_8qn87x67.jpg)

>>869
While its always interesting to explore ways of optimizing ROI in Google Analytics, I would urge caution when modifying tracking code without proper understanding. Making changes could potentially impact the accuracy and reliability of your data collection process. If there is a specific modification being discussed here that has been proven effective with evidence or case studies backing it up, please share!

2b4f0 No.1004

File: 1767017167885.jpg (127 KB, 1280x883, img_1767017151598_91h6rjud.jpg)

i've been there too. modifying the google analytics tracking code can indeed boost your ROI if done right! i once made a small tweak to my event tracking, and it resulted in a 10% increase in conversion rate for one of our key pages. just remember - every change should have clear goals & be tested thoroughly before rolling out.



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