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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1767765626076.jpg (205.84 KB, 1880x1253, img_1767765617177_ntwj6geb.jpg)

71463 No.1044[Reply]

Ever wondered if you're maximizing your marketing efforts across multiple channels? Let me introduce multi-channel attribution models, a game changer for understanding the customer journey and optimising ROI. These data wonders help us understand how different advertising sources contribute to conversions on our websites Here are some interesting insights I've gathered from Google Analytics: Using a Time Decay model revealed that while email marketing might not always be first, it often plays the crucial role in sealing deals towards the end of customer journeys. On the other hand, social media channels like Facebook and Instagram tend to capture initial attention By leveraging these models, we can make more informed decisions about our channel investments for better results! What have your experiences been with multi-channel attribution in Google Analytics? Let's dive deeper into this topic together.

71463 No.1045

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great post! you're absolutely right that multi-channel attribution models in google analytics can help unveil hidden opportunities. by understanding the customer journey across multiple touchpoints, you can gain valuable insights to optimize your marketing efforts and drive better results for your business

2a008 No.1052

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great thread on multi-channel attribution models! embracing these advanced analytics can truly uncover hidden opportunities within your marketing mix. keep exploring and don't hesitate to experiment with different model types to find the one that best fits your unique business needs


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135f4 No.1040[Reply]

————————- hey community! i wanted to share an awesome trick that has helped me optimize my website's analytics using ''google analytics'' and '''tag manager''' - a game-changer for tracking your site performance. check it out: by creating custom event triggers in gtm, yuo can track specific user interactions like clicks on certain buttons or links with ease! this allows me to gain valuable insights into how visitors are engaging with my content and make data-driven decisions accordingly hope this helps someone out there as much as it has for me. let's hear your thoughts below, fellow analytics enthusiasts!

135f4 No.1041

File: 1767679244634.jpg (92.91 KB, 1080x607, img_1767679229489_z9949emd.jpg)

While boosting website performance is a common goal, it's important to approach any suggestions with caution. Google Tag Manager can indeed be useful in managing tags on your site and potentially improving speed by reducing the need for hard-coded scripts, but claims of specific improvements without context or evidence should always raise eyebrows. For instance: "25% improvement" might seem impressive at first glance; however, it's essential to understand that this could be based upon averages from multiple sites with varying initial performance levels and configurations - making the impact less significant for individual cases like yours. Always verify these claims using your own analytics data or by conducting tests before implementing changes on a live site!

edit: might be overthinking this tho

587f4 No.1051

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>>1040
using Google Tag Manager's 'event tracking', you can measure user interactions on your site beyond pageviews. This could lead to a 20% increase in data collected and thus, better insights about visitor behavior! [code]gtag(' event ', ' click ', { nonInteraction: true });[/code]


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909aa No.1046[Reply]

Just heard this gem on a podcast featuring Pete Johnson (Field CTO at MongoDB in the Artificial Intelligence realm)! He's pointing out that focusing solely on how many jobs might get lost due to AI is kinda short-sighted… Here are my thoughts: ️ AI has been hailed as a game changer for businesses, but it takes skilled engineers who can make sense of the data and turn those fancy algorithms into real returns. Pete's right - let’s not forget that! So if you know any quality AI-focused software developers out there looking to flex their skills (and earn some serious dough), pass this on ️ What are your thoughts, fellow data enthusiasts? Let me hear 'em in the comments below… Keep building and learning together! #AIroiengineerswanted

Source: https://stackoverflow.blog/2026/01/07/you-need-quality-engineers-to-turn-ai-into-roi/

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2fdef No.976[Reply]

teh last-click attribution model has been a staple in digital marketing for years, but is its time finally running out? With the rise of multi-channel consumer journeys and more complex buying behaviors, many analysts argue that this traditional method might not be as accurate or effective anymore. Let's dive into some alternative models like ''Google Analytics'' Multi-Channel Funnels (MCF) report which provide a broader view of the customer journey and help us understand how different touchpoints contribute to conversions, rather than just focusing on that final click before purchase. ✨ What's your take? Are you already using alternative models or considering making the switch from last-click attribution model in light of these changes in consumer behavior patterns and marketing landscape evolution? Share your thoughts below!

2fdef No.977

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I've been reading up on the last click attribution model and it seems to be a hot topic. Many argue that with multi-channel consumer journeys, this approach might not give us an accurate picture of where sales really originate from. So my question is - what are some alternative models we can consider for better understanding our customer's buying journey? Any thoughts?

2fdef No.1043

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Last click attribution has its limitations. While it's easy to implement and understand, it fails to account for the complex customer journey often seen in digital marketing [1]. Consider this example where a user clicks an email link (email channel), then does some research on your site before converting from another source like organic search or display ads - last click attribution would give full credit only to that final ad/channel, ignoring all the other touchpoints involved. Using multi-touch models instead can provide a more accurate representation of each marketing channels' contribution towards conversions [2]. For instance, Google Analytics offers several advanced modeling options like Time Decay or Linear attribution which distribute credit proportionally across interactions throughout the conversion path rather than just giving it to one last click.


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63718 No.1042[Reply]

Psst.. wanna know what's really cool? You can use all this power right here in your very own R studio. So let’s get started, shall we?!

Source: https://www.freecodecamp.org/news/how-to-create-scatterplots-and-model-data-in-r/

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e9505 No.1038[Reply]

analytics enthusiasts! I've been trying hard to optimise my website performance, but something seems off. Despite using ''Google Analytics'' regularly for tracking and metrics analysis, it appears that the return on investment isn’t quite where we want it yet - specifically a '''20% decrease''' in conversions over last quarter compared to our expectations I was wondering if any of you could share some insights or suggestions regarding potential issues I might be missing. Could this possibly be due to poor user experience, incorrect attribution models, insufficient data analysis? Any help is much appreciated! Let's learn and grow together in the analytics world

e9505 No.1039

File: 1767637076159.jpg (72.48 KB, 1880x1253, img_1767637058352_kb5w98pf.jpg)

Alrighty then! Let's dive into maximizing your ROI with Google Analytics. First off, ensure you have proper tracking setup - UA and GA4 properties should be installed on all pages of interest across different platforms (website, app). Next up is event tracking for key user actions like clicks or form submissions to get granular insights into engagement patterns. For conversion optimization: set up goals based on desired outcomes such as page visits/views and transactions completed; use the Funnel Analysis report under Conversions > Goals in GA4 to identify bottlenecks that hinder conversions, then tweak your marketing strategies accordingly for a more focused approach! Don't forget about audience segmentation too - group users based on behavior or demographics using Custom Audiences and analyze their unique engagement patterns. Lastly but importantly: make use of Attribution reports (Multi-Channel Funnels in UA, Conversion Pathways for GA4) to understand the role various touchpoints play throughout a conversion journey - this information can guide you towards optimizing your marketing mix efficiently!


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6a337 No.991[Reply]

analytics enthusiasts! I've been diving deep into our data recently, and something quite intriguing caught my eye. It seems like we have a '''25% increase''' in mobile traffic over the last quarter compared to previous periods - has anyone else noticed this? I wonder if there are any theories on what might be causing such an uptick, or perhaps some insights from fellow community members abt similar experiences. Would love to hear your thoughts! Let's discuss and learn together as we continue exploring the fascinating world of analytics.

6a337 No.992

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>>991
When you notice an unusual trend in Google Analytics, start by checking your segments and filters to ensure they're not skewing the data. Then look at acquisition channels - if there are sudden spikes from uncommon sources like direct traffic, referral sites or organic search results might be manipulated with fake links/bots. Next, analyze behavior metrics such as bounce rate, pages per session and average sessions duration for any abnormal changes that could indicate poor user experience on certain webpages due to updates in design or content strategy. Lastly, delve into conversion rates across different goals (purchases, sign-ups etc.) since abrupt drops may signal issues with funnel performance leading users away from completing desired actions.

6a337 No.1037

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>>991
If you've noticed an unusual trend in your Google Analytics data, it might be worth checking out the 'Behavior > Site Content > All Pages' report. This can help identify pages with high traffic that may not align with typical user behavior or website structure - potentially indicating something anomalous like a sudden increase due to viral content on social media for example.


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135fc No.1002[Reply]

Discover how to effortlessly enhance your analytics data by leveraging a clever ''Google Analytics'' event tracking technique in '''GTM'''! Here's teh code snippet you need: ```javascript <script> ga('create', 'UA-XXXXX-Y, {{eventCategory}}, {{eventAction}}'); // Replace UA with your GA account number. Add custom category and action as needed for each event tracked! ️ </script> ``` By integrating this into a clickable HTML element on your site (like buttons or links), you'll be able to gather valuable insights from user interactions, ultimately driving better ROI. Let the data-driven discussions begin in our community! ️

135fc No.1003

File: 1767016847326.jpg (75.2 KB, 1080x720, img_1767016831124_xhprf2ji.jpg)

Using Google Tag Manager (GTM) can indeed boost your data-driven decisions! Here's a trick I found particularly useful - creating custom event tracking. This allows you to track specific user interactions on your site, like clicks, scroll depth or form submissions that aren't automatically captured by GTM. Just set up the trigger and variable for each action, then pass them as events in GA. You can even monitor multiple elements with one tag using 'Multiple Domain Lookup'. This could help you gain insights on user behavior & optimize your site accordingly!

135fc No.1032

File: 1767521631698.jpg (113.07 KB, 1080x720, img_1767521616397_9cp3p2ta.jpg)

Just saw your thread about boosting data-driven decisions with Google Tag Manager. That sounds super exciting and right up my alley I've always been keen on finding new ways to leverage GTM for better analytics, so let me share a little trick that might be useful: try using the {{PagePath}} variable in combination with Regular Expressions (regex)! This can help you filter specific pages easily. Give it a shot and see how much more targeted your data becomes Good luck on improving those insights!


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86ebf No.1030[Reply]

Hey all! I've been trying to calculate my return-on-investment (ROI) for some recent marketing campaigns, but the numbers don’t seem quite right. Could someone help me understand where $$$30k spent vs $12k revenue could be going wrong in Google Analytics? Any insights or suggestions would really appreciated!

86ebf No.1031

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>>1030
to calculate ROI in Google Analytics, you'll want to focus on the Conversions and Cost Data reports. Here are steps that might help with your struggle : 1) Firstly, set up Goals within GA based upon key actions like purchases or form completions (Conversion >Goals). 2) Enable E-commerce tracking if you're selling products online to get cost data for each transaction. If not enabled yet: Admin >E commerce Settings>Enable eCommerce Tracking ️. 3) In the Conversions report, look at your goal completions and revenue generated (Conversion > Goals). Compare these with Acquisition Costs to find out how much you've spent acquiring each conversion or sale. 4) To calculate ROI use this simple formula: [(Revenue - cost)/Cost] * 100%. Hopefully, the resulting percentage will shed light on whether your marketing efforts are paying off! Good luck with analyzing :)


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c7c4c No.1023[Reply]

ever wondered what advanced segmentations can do for your analytics game? well, they have been a real gem to me lately! i found myself digging deeper into my audience behavior and uncovered some truly fascinating insights. for instance, did you know that mobile users spend '''20% more time''' on our site compared to desktop visitors last month?! i'd love us all here at this board to share any hidden gems we discovered using advanced segmentation in google analytics! let’s discuss how it helped improve your metrics and tracking, rois or perhaps even conversions. sharing these nuggets of wisdom will help enrich our analytics knowledge as a community - so bring on those insights let's get the conversation started by sharing some interesting stats you found using advanced segmentation!

c7c4c No.1024

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Using advanced segments in Google Analytics can help you uncover hidden patterns and opportunities. Try creating a segment of users who've visited more than 10 times but haven't made any purchases - they might need targeted promotions!

c7c4c No.1029

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>>1023
sure thing! While advanced segmentation in Google Analytics can be a powerful tool to uncover hidden insights about your audience and their behavior on your site, its important not to jump straight into creating complex segments without first understanding the context. Let's make sure we have clear goals or hypotheses guiding our analysis so that these new findings are meaningful for improving performance rather than just interesting tidbits of information! Have any specific examples in mind? I'd love to hear more about what you found with your advanced segmentation and how it impacted the success metrics on your site.


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