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Google Analytics for eCommerce
Welcome to Google Analytics for eCommerce 👋
Why data is EVERYTHING in eCommerce (3:49)
About me and who I designed this course for (2:21)
What you'll need - and what you'll learn! (4:41)
The Metrics that MATTER in eCommerce 📊
The 3 most important metrics for eCommerce (3:40)
How key metrics impact your bottom line (5:18)
The 3 metrics most relevant to conversion rate (6:00)
Setting up Google Analytics the right way 👍
Why Google Analytics is NOT accurate out of the box (4:37)
Enhanced eCommerce - What is it and why is it important? (2:18)
GA structure - The best practice method! (2:40)
Internal search - see what customers are searching for ON your site (1:12)
Excluding fake referral traffic that's muddying your data (2:29)
Channel groupings - accurately labelling your incoming traffic (7:08)
Setting up your checkout funnels to supercharge your eCommerce analytics (2:23)
Integrate other Google products to unify your data (1:50)
Grouping page data and using GA for heatmapping (2:07)
Get alerted for key events and note your context (3:40)
AUDIENCE: Who are your visitors? 👫
The four key areas of GA you need to know (2:07)
The key questions you should answer about your audience (1:41)
Identifying your top customers by age or gender (2:27)
Discovering what topics your visitors are interested in (2:53)
Locating your visitors' country or city (2:08)
New vs returning visitors and analysing their value (1:38)
Desktop, Mobile, Tablet - analyse your device traffic (2:00)
ACQUISITION: Where your visitors are coming from 🚗
The questions you should answer about incoming traffic to your store (1:32)
Discovering which traffic channels deliver the most value (3:48)
Analysing traffic from a specific platform or source (2:18)
Identify which other sites send you traffic (and sales!) (2:03)
Why your channel revenue isn't identical across GA and Facebook Ads (4:52)
Analysing the value of your social media efforts (3:31)
Analysing the value of Google Ads and SEO efforts (1:14)
BEHAVIOUR: How your visitors interact with your store 🤸♂️
The questions you need to answer about your store visitor behaviour (2:05)
Finding the most valuable pages on your store (1:27)
Identifying your top landing pages and how they perform (2:25)
Exit rates - troubleshooting your top exit pages (1:28)
Discover exactly what your visitors are looking for (2:48)
Behavioural "events" and why they're SO powerful (3:40)
Identify which page elements are delivering the most value to your store (3:51)
Visualise your visitors' flow through your store pages (1:04)
CONVERSIONS: All about purchase behaviour 🛍
The questions you need to answer about your visitors' purchasing activity (2:31)
Why your GA and eCommerce platform revenue might be different (5:07)
Cart and checkout behaviour and abandonment rates (3:30)
Discover where your customers are abandoning cart or checkout (4:03)
Analysing product performance (2:34)
How discount codes are affecting your store's revenue (1:12)
Analysing your data to create EFFECTIVE actions 📈
The difference between vanity metrics and valuable insights (3:58)
What to consider when choosing your timeframe for data analysis (3:35)
The simple way to conduct VALUABLE data analysis (2:35)
Example 1: Investigating unexpected revenue spikes (3:12)
Example 2: Investigating drops in conversion rate (4:58)
Using Google Data Studio for kick-ass reporting 👊
How to use Google Data Studio to track key metrics (5:56)
Tracking advertising spend and return with Google Data Studio (2:05)
Product performance and email metrics with Google Data Studio (3:39)
Setting up Google Data Studio: Key Metrics & Site Performance (8:06)
Setting up Google Data Studio: Advertising Performance (9:42)
Setting up Google Data Studio: Product Performance (4:01)
Setting up Google Data Studio: Email Performance (10:12)
Advanced Analytics 🔐
GA4 - All about Google's latest version of Analytics (18:55)
Segmentation & audiences - deepening your analysis (COMING SOON)
Multi-channel analytics - tracking the user journey (COMING SOON)
Customer Lifetime Value - analysing the REAL value of customers (COMING SOON)
What to consider when choosing your timeframe for data analysis
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