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Why Is Your Organization Not Paying Attention to Data?
GA4 Trivia, Jobs and More...
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One Insight You Can Apply Right Away
Why Is Your Organization Not Paying Attention to Data?
One of the complaints I constantly hear from “web analysts” is that their organization or their client is not data-driven as they don’t use web analytics data in their decision-making.
If you are in a similar situation then I want you to stop comparing and start asking “Whose fault is it"? Why are the organizations not paying attention? to the web analytics/digital analytics data?
Is it the business stakeholders’ or web analytics folks’ fault?
We, as Web Analytics owners, have a huge role to play in our organization’s lack of data-driven attitude.
If all we end up doing is following and practicing GA4 tips and tricks all day long then that’s all we end up doing in our work instead of analyzing the data and generating insights that will help our stakeholders.
I recommend that you shift your focus to value generation and help your business counterparts. Once you do that they will start using the data for decision-making.
It is your job to bring the value and show. It is your career, take control of it.
As I explained in the previous edition of this newsletter, find one or two stakeholders in your organization that will benefit from your data analysis. Work with them to build some use cases that you can show others. It will be a long journey but will be very satisfying.
If you need my help then join Optizent’s Become a Digital Analyst Program.
AI Program From MIT
Artificial Intelligence online short course from MIT
Study artificial intelligence and gain the knowledge to support its integration into your organization. If you're looking to gain a competitive edge in today's business world, then this artificial intelligence online course may be the perfect option for you.
On completion of the MIT Artificial Intelligence: Implications for Business Strategy online short course, you’ll gain:
Key AI management and leadership insights to support informed, strategic decision making.
A practical grounding in AI and its business applications, helping you to transform your organization into a future-forward business.
A road map for the strategic implementation of AI technologies in a business context.
GA4 Comparisons, Segments, and Audiences
Segment, Audience, and Comparison all allow you to group your site visitors. Even though they appear to be similar they have some key differences.
Comparisons - These are available in standard reports to compare one subset of the data with another subset of the data. Comparisons are retroactive, which means they apply to the data that you have already collected. Comparisons can’t be saved and are only available during the session you create them in.
Segments - These can’t be used in standard reports and are only available in Explore. Use them to drill deeper into your data in exploration. Segments are retroactive and apply to any date range that you select. Segments are tied to the “Explore” you create them in and can’t be reused in other explorations. However, you can use segments to create "Audiences”, which are explained below.
Audience - GA4 Audiences are groups of users based on common attributes, behaviors, etc. You can create an Audience using dimensions, metrics, and events to include any subset of users that makes sense for your business. Audience can be used in standard reports by including them in Comparison as comparison criteria.
The audience is not retroactive, which means the Audience starts to accumulate users from the moment you build it. Audiences can be used to build comparisons and also target and retarget users using Google Ads.
Weekly GA4 Trivia (Beginner)
Which section in GA4, would you use to find advanced techniques that can help you uncover deeper insights about your customers' engagement? |
Weekly GA4 + BigQuery Trivia (Advanced)
Which is the right option in BigQuery to correctly calculate Session count? |
Digital Marketing and Analytics Jobs
Ecommerce Data Analyst - Grief - US, Remote (Excel, SQL, Power BI, Tableau, GA4, Hotjar, Semrush, dashboards, A/B testing)
Digital Analyst - Cognizant Netcentric - Frankfurt, HE, Germany (Google Analytics, GMP, Looker, Power BI, Cloud, BQ, Microsoft Azure, Tealium audiences)
Implementation Analyst - Measurelab - UK - Remote UK-based (Agile, GTM best practices, debugging tagging with Dataslayer, JS, eCommerce tracking, cookie solutions, OneTrust, pipelining tools, Funnel, Google Cloud Platform)
Sr. Digital Marketing Analyst - Truckstop - US - Remote - Posted by Tara Rowe (experience as a marketing analyst, GA4, dashboards, Salesforce, A/B, and multivariate testing)
Digital Marketing Analyst - Amoy Polim Stone, Co., Ltd. - Abilene, TX, USA - Remote (Google Analytics, understanding of SEM, SEO & PPC campaigns, Excel, measure ROI, report on marketing KPIs)
More jobs will be sent on Friday. If you don’t want to receive the Friday job listings email then update your preferences.
Artificial Intelligence online short course from MIT
Study artificial intelligence and gain the knowledge to support its integration into your organization. If you're looking to gain a competitive edge in today's business world, then this artificial intelligence online course may be the perfect option for you.
On completion of the MIT Artificial Intelligence: Implications for Business Strategy online short course, you’ll gain:
Key AI management and leadership insights to support informed, strategic decision making.
A practical grounding in AI and its business applications, helping you to transform your organization into a future-forward business.
A road map for the strategic implementation of AI technologies in a business context.