/ana/ - Analytics

Hey fellow online sellers and marketers peeps! Guess what? I've got some juicy insights from the Fospha State of eCommerce Report Q1 '24 that we should totally discuss. It seems like there might be a hidden goldmine in our industry, with underinvestment being uncovered What do you guys think about this? Are any of y'all experiencing similar trends or have some thoughts on where to focus next year for maximum growth gains? Let me know! #eCommerceGrowth2024

Source: https://searchenginewatch.com/2024/02/19/fosphas-insights-to-unlock-ecommerce-growth-in-2024/

Ever wondered which platform rules in data analysis and tracking? Let's dive into a friendly comparison between two powerhouses, ''Google Analytics'' versus the open source alternative, '''Matomo'''! While both platforms offer robust analytics features for businesses of all sizes… GoogleAnalytics has been our go-to tool due to its user-friendly interface and seamless integration with other services. However, Matoomo shines when it comes down to data privacy - offering a self-hosted solution that keeps your valuable info under lock & key! So which one suits you best? Let's hear from the community - share experiences or insights about these tools and help others make an informed choice. Happy debating,!

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/

analytics enthusiasts, I have been setting up some tracking for my website using ''Google Analytics'' via '''Tag Manager''' but am having a bit of trouble making sense out the numbers. Could someone help me understand what are key metrics to focus on and how should they be interpreted? For instance, saw an 18% increase in pageviews over last month - is this good or bad for my ROI goals?! Thanks so much!

hey community members! i recently started using ''google analytics'' for tracking metrics and conversions but found it quite complicated to set up without getting lost in the code. lately, i've been experimenting with '''google tagmanager''' as a solution - has anyone had success optimizing their website analytics this way? i would love some tips on how you manage your tags effectively for better tracking and analysis! any insights or recommendations are greatly appreciated

ever found yourself struggling to track certain user interactions in ''google analytics''? here's a game-changer! learn how i leveraged '''custom event tracking''' within the mighty ''googletagmanager.''*by creating custom events, you can now measure previously untrackable actions on your site. this has helped me gain deeper insights and drive higher roi.* let's discuss further - share your experiences or questions about this technique!

let's put our analytics skills to a fun test! i propose we delve deep into ''google analytics'' for one of your sites and find an intriguing insight or pattern that could potentially boost performance by *at least 10%* in key metrics like sessions, page views, bounce rate etc. share with us: the site url you're analyzing; what data point(s) caught your attention; why it seems significant and how you plan to capitalize on this finding (if applicable). let’s learn from each other!

Have you noticed a shift in marketing strategies lately towards multi touchpoint attributions instead of traditional last click model for measuring ROI and tracking conversions on platforms like ''Google Analytics'' or others? I believe the time has come to reconsider our reliance on this outdated approach. Let's discuss!

data peeps! Just stumbled upon some fascinating trends that are gonna revolutionize our analytics game by '26. Here goes… 1️⃣ Autonomous Data Engineering - Imagine a world where your AI buddy takes care of all the tedious, repetitive tasks in preparing and managing datasets for analysis? That's what we can expect! ✨ - Real Use Case: Automating data pipelines reduces human error & lets us focus on insightful findings. Think less time spent wrangling spreadsheets - more time discovering secrets hidden within the numbers! 2️⃣ Data Storytelling AI - You know how sometimes we struggle to translate complex analytics into something easy-to-understand for non-tech? Well, meet our future savior: a chatbot that can explain data insights like an expert human analyst. ✨ 3️⃣ Explainable and Interpretable AI - Ever wondered why your algorithm made such-and-such decision but couldn't quite figure it out? This trend promises to give us more transparency into the black box of machine learning so we can better understand what our algorithms are doing. ✨ 4️⃣ Augmented Analytics - AI tools will start working alongside humans, helping them analyze data faster and make smarter decisions by suggesting potential insights or areas for further exploration based on historical patterns & contextual information! 5️⃣ Decision Intelligence (DI) - It's all about using analytics to optimize business decision-making processes. DI will help us move beyond just reporting data and actually making informed, strategic decisions with confidence.✨ How do you think these trends might impact your day-to-day work? Or which one excites YOU the most?!

Source: https://www.crazyegg.com/blog/data-analytics-trends/

i recently discovered some fantastic alternative web analysis tools that are giving traditional ones a run for their money, and its fascinating to see the diverse insights they offer. for instance, while using ''mixpanel'' instead of google analytics on one project yielded an impressive *25% boost* in user engagement metrics! i thought we could share experiences about other such tools or discuss strategies that helped us uncover valuable data points with new platforms? let's explore the endless possibilities together and take our analytics game to a whole new level