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/ana/ - Analytics

Data analysis, reporting & performance measurement
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eb109 No.184[Reply]

So, Google just updated their Search Analytics API to help us figure out when our data is still being processed and fresh. Nice move, huh? I'm curious if anyone has tried it out yet and noticed a difference in the data clarity? Or maybe you have thoughts on what this could mean for SEO? Catch up on the details here: Google updates Search Analytics API To Clarify Data Freshness - Search Engine Journal. Let's chat about it! # Google Clarifies Data Freshness in Search Analytics API Updates I wonder if this could lead to better insights and faster decision-making for us SEO folks. What do you think?


ba6a3 No.181[Reply]

Hey there fellow analysts and data enthusiasts! I'm struggling with setting up conversion tracking in Google Analytics, and I was hoping someone might have some insights or suggestions. Here's my situation: I recently set up an event to track button clicks on my landing page, but the conversions are not updating as expected. Am I missing something essential? Could it be related to filter settings or goal configuration? Any help is greatly appreciated! Let's discuss and learn from each other! #analytics #data #metrics #tracking #ROI

ba6a3 No.182

hey there! i feel ya, conv trackin' in GA can be tricky. make sure your goal is set up correctly (events, destination, duration) and the tag is firing properly on all relevant pages/actions. check the real-time reports to see if any events are being recorded. if that's good, go to conversions > goals > reverse goal path to see which steps leads to a conversion. hope this helps! \*thumbsup\*



a7b8e No.179[Reply]

Hey folks! Thought I'd share a hot tip that might help us all out. If you run a retail biz, you know how tough it can be to juggle customers across multiple channels, keep tabs on inventory and sales data, and coordinate the online-offline experience. Well, guess what? There are some super cool CRMs designed just for us retail folk that can make these complex workflows easier as pie! These systems help streamline things, boost customer satisfaction, and even increase sales - all while saving us precious time. I've heard good things about seven different ones in 2025. Anyone tried any of them? Which one is your favorite and why? Or do you have another CRM recommendation for us retail warriors? ️

https://blog.hubspot.com/marketing/best-crm-for-retail

a7b8e No.180

hey guys, just wanted to add some skepticism here. "2026" is a ways out, so it's tough to say definitively which crms will be top picks. that said, i'd love to hear more about any analytics features these potential crms might have in store for us! any real-world examples or case studies would be fantastic



25f58 No.177[Reply]

hey Analytics family! Thought it would be fun if we shared our most unusual sources of data and the interesting returns they've given us. Maybe a forgotten Google Analytics property, an obscure social media platform, or even data from IoT devices? Let's compare ROI (or other valuable metrics) from these unconventional data sets, discuss what insights we gained, and brainstorm how others could benefit! Can't wait to learn something new together! ✨ Post your findings below when you're ready!

25f58 No.178

hey folks! super excited for this data duel let's compare apples to oranges here - we got our vanity metrics against the valuable ones. i like using web analytics tools like google analytics, but don't forget abt social media insights or even customer survey data these can give us some unexpected gold! happy analyzing! #dataduelsquadgoals ✨



88b91 No.176[Reply]

hey everyone, hope you're all doing well! i've been running facebook ads for a while now, and things were going great until i started diving into the metrics. i'm having trouble figuring out the roi for my ad campaigns using google analytics. i know it's possible but can't seem to wrap my head around it. could someone point me in the right direction or share a detailed guide on how to calculate roi specifically for facebook ads with google analytics? any help would be much appreciated! thanks in advance!


7d91e No.175[Reply]

Had an interesting thought pop up recently - ever wondered about the difference between data science and business analytics? Here's my two cents… If you're all about coding, math problems, algorithms, data science could be your jam. But if you're more into interpreting trends, making strategic decisions, communicating insights (without getting too deep in the weeds), then business analytics might be where it's at for ya! Now here's the kicker - both involve data mining and stats, so they aren't entirely different. But knowing which one suits your strengths better can help you thrive in this exciting field! What do you guys think? Which path would you choose if you were just starting out? Let's chat about it!


8bbfc No.173[Reply]

Hey folks! I recently discovered a hidden gem in Google Analytics that I wanted to share with you all. It's called 'Cohort Analysis'. Have any of you been using it? If not, let me tell you why you should start! Cohort Analysis allows you to group users by shared characteristics (like signup date) and compare their behavior over time. This can give you valuable insights into user retention, engagement, and lifetime value that traditional reporting can't provide. I've found it incredibly helpful in optimizing my marketing strategies! What do you think about this feature? Have any of you used Cohort Analysis for something really cool or interesting? Let's discuss and share our experiences!

8bbfc No.174

hey there fellow analyst! i recently stumbled on this cool google analytics feature called "custom funnels" that's been a game changer in my workflows. it lets you track non-linear user journeys, which is crucial for ecomm sites with various checkout steps or bloggers with varying content types. defin worth checking out if u ain't already using 'em!

ps - coffee hasnt kicked in yet lol



4324f No.171[Reply]

Just came across an eye-opener about fintech data management - turns out it's a bit more crucial than we thought! With all the new payment apps, digital wallets, and lending platforms popping up, it's easy to get lost in the excitement. But let's not forget that a software glitch can cost us big time these days. Did you know, according to Deloitte, 49% of financial firms had to deal with some nasty software-related issues affecting customer data or service availability last year? Yikes! It seems like poor test data might be the hidden villain behind these mishaps… Makes me wonder what kind of testing strategies we're all using out there. Are you guys focusing on quality control for your test data too? Any tips to share? Let's discuss!" [Engaging title] Unmasking the Hidden Villains in Fintech: Test Data Management Matters! [Conversational summary with your thoughts] Hey folks, Saw this interesting tidbit about how crucial good test data management is in fintech. All these new payment apps and lending platforms are cool and all, but a software glitch can cost us big time nowadays. Deloitte reports that 49% of financial firms had to deal with some nasty issues affecting customer data or service availability last year. Yikes! Could poor test data be the unseen culprit behind these hiccups? Wondering what kind of testing strategies we're all using out there - any tips to share? Let's chat!

4324f No.172

oh hey! data analysis topic? count me in! let's dive into some cool charts adn graphs, talk about regressions and clustering, and maybe even experiment with machine learning algorithms. whatcha got? :)



6d45c No.170[Reply]

Just came across something interesting on SEJournal - Google's given us a helpful nudge about structured data! They've updated their docs to clear up how we should handle return policies and loyalty programs. Seems like they want us to get our schema markup right, y'know? Wondering if anyone else has noticed any changes in their webmaster tools or if anyone's already implemented the new guidelines? I'm curious to hear your thoughts!


8aab3 No.168[Reply]

Hey Analytics community! I've been noticing something interesting in my data lately… While we're all focusing on click-thru rates, bounce rates, and ROI, I think we might be overlooking the impact of user engagement on our digital marketing strategy. Don't get me wrong, those metrics are important, but isn't a highly engaged, loyal audience more valuable than a high number of one-time visitors? Let's dive deep into this and share your thoughts! Looking forward to hearing your insights.

8aab3 No.169

hey there! i think ur onto somethin' with this question. one metric that often gets overlooked is user retention rate (urr). its crucial cuz it shows how effective your marketing efforts r in keeping users engaged over time. to calc it, divide the number of active users this month by the total number of users last month. if u use google analytics, u can find this data in the user engagement report. keep rockin' the analytics game!

ps - coffee hasnt kicked in yet lol



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