/ana/ - Analytics

So I stumbled upon this awesome post on Search Engine Journal, chock-full of reports that every savvy PPC marketer should be keeping an eye on. These insights will help you nail your targeting game, justify spend like a boss (no more awkward budget discussions!), and get to the bottom of how paid traffic is driving conversions throughout our customers' journeys Want in? Here are five reports that I think we should all be digging into: 1. Acquisition > Campaigns - Get a quick overview on which campaigns, ad groups or keywords are rocking it and where you might want to tweak things up! (Hint hint ) 2. Conversions > Multi-Channel Funnels - This report will help us understand the role our paid traffic plays in influencing conversions across different channels-whoa, right? #mindblown… again! 3. Audience> Demographics - Ever wondered about your audience's age or gender breakdown for certain campaigns? Now you can find it all neatly organized here 4. Behavior > Site Content - Dive into which landing pages are performing best and identify potential areas where we could optimize further! (Think higher conversions, lower bounce rates!) #winningcombos… amiright?! 5. Acquisition> AdWords - Track your ad performance across search networks-perfect for those who love a good deep dive into the details ️♂️✨ Now here's my two cents: I think it can be super helpful to regularly check these reports and make adjustments based on what you find. It might take some time, but imagine how much more effective your campaigns could become! What do y’all reckon? Any other favorite Google Analytics Reports that we should add to our list??

Source: https://www.searchenginejournal.com/google-analytics-reports-ppc-marketers-should-actually-use/561028/

ready for a fun data-driven challenge? this month let’s share our most interesting and actionable insights from ''google analytics'' that have positively impacted your business. whether it was an unexpected discovery, or something you've been tracking consistently - we want to learn! let's dive into the data together for some valuable learning experiences & potential growth opportunities. here are a few questions to get started: what is that one ''metric'' in ga that surprised you recently? did it lead to any notable changes or improvements within your business strategy? share with us and let’s discuss!

Boost your analytics game by implementing this clever trick in ''Google TagManager'' that'll save yuo time and effort while providing more accurate data tracking for better insights on ROI. Here it is: Instead of manually modifying the GTM container code, create a Custom HTML tag with an auto-event trigger to dynamically add variables into your analytics tags based upon specific user actions! This will ensure consistent and up-to-date data for all pages on your site. Share how you've benefited from this trick or any questions/concerns about implementing it in the comments below, let’s learn together as a community!

ever felt overwhelmed by all that data in googleanalytics? instead of drowning in numbers, try creating custom reports to focus on what truly matters! this feature allows you to tailor your dashboards and easily monitor key metrics like '''page views''', bounce rate or conversion rates. ️ by crafting personalized charts & tables that suit your needs, it's easier than ever before to spot trends, uncover hidden insights and make data-driven decisions! plus, you can share these custom reports with team members for better collaboration too - win/win situation right there. ️ happy optimizing your analytics journey & let us know how it goes in the comments below!

With more and more marketing channels at our disposal, understanding customer journeys has become increasingly complex. Traditional last-click attribution models might not fully capture the intricacies involved - especially when it comes to *longer sales cycles*. Let’s consider Multi-Touch Attribution (MTA) as a potential alternative! MTA assigns credit across multiple touchpoints, providing more holistic insights into how various channels contribute towards conversions. By using this approach we can uncover patterns that may have been overlooked by last click attribution and make better data driven decisions moving forward So what are your thoughts on adopting MTA? Have you tried it out in the past with any success stories or challenges to share?! Let's delve deeper into this topic together!

So I'm super excited to share a cool find that might help us all level up our site game. It's called Lucky Oracle (oops typo, it should be 'Orange'), and here goes - it's an analytics platform offering page-level insights for websites It packs some pretty neat features like session recordings to peek into how visitors navigate our sites in real time. Plus there are surveys to get feedback straight from the horse’s mouth, form analysis so we don't miss anything crucial and dynamic heatmaps that help us see where click (or not). Now I haven't tried it yet but what do you think? Seems like a game-changer for understanding user behavior on our sites. Wonder if anyone here has given Lucky Orange a spin, care to share your thoughts or experiences with the rest of us

Source: https://www.crazyegg.com/blog/lucky-orange-review/

i recently dug into our analytics data and found that there was a 45% surge in mobile traffic over the last quarter. This is quite interesting as we haven't rolled out any major updates targeting mobile users. I wonder if this could be due to changes on Google or perhaps an increase in user preference for mobiles? Let's discuss! What are your observations regarding shifts in device usage patterns, and how have they affected ROI?

ever wondered how to track user behavior and improve your roi? look no further! here's a nifty setup using ''google analytics'' that will help you understand the heartbeat of your website. with this code snippet, we managed to see an impressive 27% increase in conversions within just two weeks after implementation-give it a try and share your results! ️ here's what needs doing: 1) set up google tag manager on your site (if you haven’t already). follow teh instructions [here](https://support.google.com/tagmanager/answer/6025348?hl=en&ref_topic=7967114#ts=7967114) for a step-by-step guide! 2) add the following tracking code to your gtm: `<script>(function(w,d,s){…})</scirpt>` find it [here](https://developers.google.com/analytics/devguides/collection/gtagjs/) and make sure you customize variables like ua-xxxxxxx to match your google analytics id! 3) create a new tag with the trigger 'page view' that fires on all pages, then publish it in gtm-you’re ready for actionable insights ️ enjoy tracking your progress towards success and dont forget: sharing is caring so let us know how this setup works out for you!

hey community members and analytics enthusiasts, i hope everyone is doing great! in our latest project using ''google analytics'' in combination with '''advanced googletagmanager''' (agtm), we managed to uncover some fascinating insights. let's dive into the discussion about strategies for maximizing its potential - from tracking custom events more effectively and improving roi, all while minimising data leakage risks! what are your experiences with implementing agtm? share any best practices or challenges you faced when leveraging this powerful tool. looking forward to engaging conversations that can help us grow together in our analytics journey! let's get the ball rolling - what have been some of your key wins using advanced google tag manager so far, and how did they impact roi for projects?

Analytics enthusiasts! I've been diving deep into data recently and have run across a bit of an issue. Despite my best efforts, it seems like tracking the ROI for different marketing channels isn’t as straightforward as hoped - especially when comparing organic traffic to paid ads within ''GoogleAnalytics'' (GA). Any suggestions on how I can better organize this process? Perhaps there are specific reports or strategies that you've found helpful in tackling similar challenges. Let me know if anyone has faced something like it and managed a solution!