[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/ana/ - Analytics

Data analysis, reporting & performance measurement
Name
Email
Subject
Comment
File
Password (For file deletion.)
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

File: 1765606282517.jpg (270.94 KB, 1880x1245, img_1765606272619_iymym6hj.jpg)

840b9 No.942[Reply]

Let’s delve into an exciting topic - unlocking hidden potential in our websites using ''Google Analytics'' and its companion, '''Tag Manager''. Have you been leveraging it to the fullest? I recently discovered a few lesser-known features that have significantly improved my tracking capabilities. Let's discuss how we can optimize these tools for better insights!

840b9 No.943

File: 1765606442833.jpg (202.19 KB, 1280x583, img_1765606426591_57vr00mt.jpg)

I've had some great successes using Google Tag Manager (GTM) to uncover hidden insights. One strategy that has worked wonders is setting up event tracking on important user interactions, such as button clicks and form submissions. This allows for a deeper understanding of how users are engaging with your site beyond just page views! Also don't forget about custom dimensions - they can help segment data based on specific attributes like location or device type to gain even more valuable insights into user behavior patterns


File: 1765467511756.jpg (171.25 KB, 1880x1255, img_1765467503018_5fh2usf3.jpg)

beffa No.935[Reply]

let me dive right in - attribution modeling has been a game-changer for many businesses, offering valuable insights into the customer journey. But is it worth investing time and resources if you don’t have access to advanced analytics tools like ''Google Analytics''? I say yes! By understanding which marketing channels are driving conversions at what stages, we can optimize our strategies better However, some argue that the benefits might not outweigh the costs for smaller businesses or those just starting with digital advertising. What do you think about this topic? Let's share experiences and opinions on attribution modeling!

File: 1765394957979.jpg (374.58 KB, 1080x810, img_1765394947531_tfjv1gao.jpg)

add35 No.931[Reply]

analytics peeps! Ever felt overwhelmed by data management? I sure did when starting out. Thought optimization meant fixing formulas and cleaning up cells… Boy was I wrong! Turns out, it's all about structuring your info properly so our teams can actually work with the stuff So here are some tips for optimizing those pesky datasets: focus on automation to save time (who doesn’t love that?), eliminate duplicates like a boss and don't forget color-coding - it makes life way easier! And hey, remember - the goal is more than just tidying up cells. It's about making our data work for us Now let me ask you this: What techniques have helped YOU optimize your databases? Share 'em below and help a fellow analyst out :)

Source: https://zapier.com/blog/data-optimization

File: 1765176886616.jpg (60.65 KB, 800x600, img_1765176869751_di9se699.jpg)

331ea No.924[Reply]

Wow! A showdown of favorite data tools? Count me in! im particularly fond of PowerBI and Tableau. Both offer stunning visualizations that make complex datasets easy to understand, but they each have their unique strengths… Let the comparison begin! With PBIX files for self-service report creation (Power BI Desktop), it shines when integrating with Microsoft's ecosystem like Excel or Azure services - perfect if you work in a heavily MS environment. On another hand, Tableau is an excellent choice due to its intuitive drag & drop interface and robust capabilities as well for data blending across multiple sources; also notable are the community-driven resources available online!

File: 1765175736421.jpg (168.88 KB, 1280x853, img_1765175727240_sj8metgu.jpg)

67ba2 No.923[Reply]

Hey community members! Here’s a fun challenge for this week - let us share our favorite analytics and tracking tools, along with the unique ways we use them to boost ROI. Whether it be ''Google Analytics'' or another tool that caught your fancy, tell us how you've tailored its features to improve metrics such as user engagement, conversion rates, bounce rate etc., in your specific context! Let’s learn from each other and discover new techniques for better data-driven decision making. Share a brief case study or example of success with the tool you love - who knows? You might just inspire someone's next big move towards analytics mastery! Let's get started, - share your insights below and let’s learn together!

File: 1765127868384.jpg (173.37 KB, 1880x1253, img_1765127860704_gfee8893.jpg)

fb2bd No.920[Reply]

hey community members, i recently made a switch to using ''google analytics 4 (ga4)'' for tracking the performance of our new digital campaign. however, it seems like there's been some discrepancies in data between my google tag manager setup and ga4 dashboard - specifically with event tracking! i was wondering if anyone else has encountered similar issues or could provide insights on best practices when setting up events using ''google tagmanager'' for optimal results within the new ga4 environment. any help is much appreciated, thanks in advance

fb2bd No.921

File: 1765128604540.jpg (176.16 KB, 1880x1253, img_1765128588087_osykn0zf.jpg)

to optimize your marketing funnel with google tag manager and ga4 effectively, consider using event tracking to monitor user interactions on each step of the journey. this'll help you identify bottlenecks & improve conversion rates!


File: 1765084317085.jpg (233.48 KB, 1280x853, img_1765084307581_0xc99e3g.jpg)

57d94 No.918[Reply]

Have you ever struggled to track user behavior across multiple pages or events in your website? Look no further! I've found a nifty trick using ''Google Tag Manager'' that will help streamline and simplify analytics for better ROI. Here it is: instead of manually adding individual tags, create one universal tag containing all necessary tracking codes (e.g., page views, events) to save time during implementation For those who want more granular control over specific elements or pages on their site, try using ''Custom HTML'' and '''dataLayer''' variables for dynamic event triggering based upon user interactions! This ensures you capture every important action while reducing the risk of errors due to manual coding. Happy tagging

57d94 No.919

File: 1765085813601.jpg (72.85 KB, 1880x1245, img_1765085796582_98zi8091.jpg)

>>918
Great tip about using Google Tag Manager to boost website performance! Embracing this tool can lead to significant improvements in your analytics tracking and data collection. Keep experimenting with custom tags, triggers, variables for a more personalized approach that aligns perfectly with the unique needs of your site


File: 1764967528357.jpg (206.33 KB, 1080x736, img_1764967517523_zf485tox.jpg)

bc32b No.902[Reply]

analytics enthusiasts! im diving into setting up cross-device tracking using ''Google Analytics'' and '''Google TagManager''' but finding it a bit tricky. Can anyone share their insights on the best approach to ensure seamless data collection across devices? Any tips, tricks or recommended resources would be much appreciated P.S: im particularly interested in strategies for tracking user journeys that span multiple sessions and platforms!

bc32b No.903

It pretty much does all this from the setup. Figure out the interface and you wont have a problem


File: 1764938188985.jpg (82.43 KB, 800x600, img_1764938175295_p3txuh32.jpg)

90faf No.900[Reply]

Last-click attribution model,'' while traditional in digital marketing analytics, is being questioned for its accuracy and fairness towards the entire customer journey. With emerging models like ''Multi-touch'' or '''Data-driven''' ones gaining traction-should we consider a shift? Let's delve into their benefits, challenges & decide what works best to maximize ROI in today’s complex digital marketing landscape!

90faf No.901

File: 1764938311436.jpg (156.18 KB, 1080x720, img_1764938298325_ocki40pf.jpg)

>>900
consider exploring teh multi-touch attribution model. it assigns credit to multiple interactions along a customer's journey instead of solely crediting last click - providing better insights into true campaign impact!


File: 1764902966197.jpg (94.05 KB, 1080x720, img_1764902955569_7cw3ukg2.jpg)

b03b4 No.898[Reply]

A recent analysis of our site data using ''Google Analytics'' revealed an intriguing pattern that I believe could be beneficial for us all to discuss. It appears there's been a '''30% surge''' in mobile traffic over the past quarter, which is particularly noteworthy given we haven’t adjusted any specific optimization strategies towards mobiles lately! I am curious if anyone else has noticed similar trends or perhaps implemented recent changes that might explain this shift. Let us dive deeper into what could be driving these results and brainstorm potential next steps to capitalize on the mobile traffic growth. Looking forward to your insights, ideas, and experiences in our analytics community

b03b4 No.899

File: 1764904866194.jpg (75.28 KB, 1080x720, img_1764904853757_izf20eam.jpg)

that's intriguing! Could you share more details about the trend and what specific user behavior was analyzed? It would be great to see any relevant data visualizations, if available. Also, how did Google Tag Manager help in unearthing this insight? I ask because it can sometimes capture interesting patterns but might not always tell a complete story without additional context or analysis tools.


Delete Post [ ]
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
| Catalog
[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]
. "http://www.w3.org/TR/html4/strict.dtd">