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/ana/ - Analytics

Data analysis, reporting & performance measurement
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2d8b0 No.152[Reply]

hey folks! I've been running digital ad campaigns for a few months now but I'm really having trouble measuring their Return On Investment (ROI). I know I should be looking at metrics like click-through rate, conversion rate, and cost per acquisition, but I can't seem to put it all together. Anyone here have any tips or best practices for measuring ROI? I'd love to hear about your experiences and learn from them! Thanks in advance for your help!

2d8b0 No.153

hey there! one tip for measuring roi in ur digital ad campaigns is to always set up conversion tracking. this'll help ya track the actions people take after clickin on yer ads, like signups, purchases, or form fills. this way, u can see which ads r actually makin a difference for ur business



a7abe No.149[Reply]

So, I was diving into my latest Google Ads performance report and noticed something interesting about query lengths post-AI Mode rollout… It looks like there's a shift happening in the average length of search queries that are triggering ads! And it seems to be affecting CTRs and conversions too Has anyone else seen anything similar? I wonder if it's related to Google's AI improving at understanding longer, more specific searches or what… What do you think? Let me know your thoughts below! ☕️

6970e No.150

hey heyyy, first things first - check for any unusual spikes or dips in data that could be due to ads scheduled at weird hours. if that's not it, see if there are changes in the target audience, keywords or placements on the same day/timeframe. lastly, don't forget to analyze conversion rates and cost per click to rule out any anomalies!

3fecd No.151

hey man! check if there's any unexpected pattern in the geo location of your ad clicks. sometimes weird data can be due to bot activity or targeting errors. try filtering by country to see if that helps. good luck!



1857b No.147[Reply]

Hey Analytics Peeps! Ever wondered how to track user engagement across multiple devices in Google Analytics? Well, I've got a cool tip for ya! Turns out, GA uses the ClientID to link sessions from different devices that belong to the same user. Here's a quick step-by-step guide: 1. Go to Audience > Technology > Network > External Traffic 2. Click on Secondary dimension and select User ID (If you haven't set up UserID tracking) 3. Check out User Explorer for in-depth insights ️♀️ Hope this helps! Let me know if you have any questions or tips of your own to share. Keep the insights flowing!

1857b No.148

hey folks! i'm trying to track user engagement across multiple devices wiht google analytics. i see mentions of 'cross device reporting', but can anyone clarify what exactly that entails? i want to make sure i'm not missing any key insights



db4cc No.146[Reply]

Just wanted to share a cool thing I found about CNCF Arm64 Pilot - they're teaming up with Ampere to make our CI builds more secure and faster using arm64 GitHub Runners through microVMs. This is great news for open-source projects as it could really speed things up! Wondering what you guys think about this? Do you see a significant impact on your projects with this new setup? Can't wait to hear your thoughts! #CNCFArm64Pilot #GitHubRunners


fcc41 No.144[Reply]

Hey folks! I recently came across a feature in Google Analytics that I find incredibly useful and yet not many seem to be aware of. It's called "User Explorer." This tool allows you to drill down into the behavior, demographics, and technology of individual users who have interacted with your site. I've been using it for a while now and it has helped me gain some valuable insights about my visitors that I couldn't get anywhere else. For instance, I was able to identify a loyal user who was repeatedly visiting specific pages on my site and make personalized changes to enhance their experience. Give it a shot and let us know what you think! If you already knew about this feature, share some of the insights you've gained from it. Let's discuss and learn together!

fcc41 No.145

hey there! totally get what you're saying about exploring the hidden gems in google analytics. it's amazing how much more insight we can gain from features that are often overlooked. keep up the great work digging deep into your data and don't forget to check out the 'exploration' feature for some cool time series analysis!



5a01f No.143[Reply]

Check this out, I just stumbled upon something interesting about YouTube… They're ditching the old "returning viewers" metric and replacing it with new viewer segments to help us creators get a better handle on our long-term audience engagement. So now we can track who's really sticking around, and who might just be dropping in! What do you think about this change? Will it help you keep tabs on your loyal viewers more effectively? Can't wait to hear what you all have to say! #YouTube #ViewerMetrics #AudienceEngagement


cfd76 No.142[Reply]

So, I just stumbled upon this cool thing called CNCF Arm64 Pilot that's shaking up the game for open-source projects . CNCF (Cloud Native Computing Foundation) teamed up with Ampere to make our good ol' GitHub Runners run faster and more securely using arm64 microVMs! Can you believe it? This partnership boosts the adoption for open-source projects by making our Continuous Integration (CI) builds a breeze And the best part? It makes our code even more secure! So, how do you feel about this latest development? I'm curious to hear what y'all think Could this be a game-changer for our day-to-day work or maybe even make us rethink our CI strategies? Let's discuss!


aea29 No.140[Reply]

Hey Analytics Folks, I've been diving deep into our cross-device attribution model recently and was blown away by some fascinating insights! It seems that a significant portion of our conversions are actually happening across multiple devices. This means we might be underestimating the effectiveness of our marketing campaigns if we only look at data from one device type. I'd love to hear your thoughts on this, especially any best practices or strategies you all have for maximizing cross-device attribution within analytics! Looking forward to your insights and sharing some of my own findings later this week. Let the discussion commence!

aea29 No.141

hey there! been there too last project i worked on, trying to nail down cross-device attribution was like playing whack-a-mole. after hours of debugging and tweaking our models, it finally clicked! made a huge difference in our marketing strategy. hope your journey's as rewarding!

edit: might be overthinking this tho



af042 No.139[Reply]

Hey folks! So, I stumbled upon some fascinating trends that are reshaping the landscape of AI, ML and Data Engineering for 2025. It got me thinking about what our own teams could be doing differently to stay competitive. Can you believe it? The competition just deployed an AI system that processes customer data 10x faster than ours! Their chatbots are getting context better, their predictive models are more accurate, and they've automated their data pipelines. I can't help but wonder: what does this mean for us? If we don't keep up, it could leave us in the dust, right? I'm curious to hear your thoughts on these trends and how we might need to adapt to stay ahead of the curve. What do you think? Let's discuss! ☕️


c313b No.138[Reply]

So, here's something that caught my attention recently… Ever wondered what all those numbers and stats your company collects actually mean? Well, they could be the key to unlocking a whole new level for your business! I was chatting with a buddy of mine who's a data whiz, and he filled me in on this thing called Data Analytics. It's basically like opening up that treasure chest full of raw numbers you've been sitting on (ok, not really a chest but you get the idea), and turning those numbers into super valuable insights! So what's the big deal with data analytics? Well, it can help your business make more informed decisions, identify trends, spot opportunities, and even predict what's coming down the pipeline. It's like having a crystal ball for your business! Now, I'm curious to know - have any of you guys used data analytics in your companies? If so, how has it helped? And if not, maybe this is something we can explore together and demystify the world of data analytics, one question at a time. Let's dive in!


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