Analytics setup for your brand new store
The essential tracking and metrics to configure when launching your e-commerce business
Start tracking from day one
Many new store owners delay analytics setup, planning to “do it properly later.” This is a mistake. Every visitor and transaction without tracking is lost data. You can’t go back and understand your early customers if you weren’t measuring. Set up essential analytics before you launch, not after.
The minimum viable analytics stack
What you absolutely need at launch.
Google Analytics:
Free, powerful, and industry standard. Install it first. Even if you add other tools later, GA provides baseline tracking.
Your e-commerce platform analytics:
Shopify, WooCommerce, BigCommerce, and others have built-in analytics. These are often more accurate for transaction data than third-party tools.
Google Search Console:
Free tool showing how Google sees your site. Essential for understanding search visibility.
Setting up Google Analytics 4
The current version of Google Analytics.
Create a GA4 property:
Sign up for Google Analytics and create a new GA4 property for your store.
Install the tracking code:
Add the GA4 tag to your website. Most e-commerce platforms have built-in integration or apps to simplify this.
Verify it’s working:
Use GA4’s real-time reports. Visit your site and confirm you see your visit appearing.
Enable enhanced e-commerce:
GA4 has e-commerce tracking built in. Ensure your platform integration sends transaction data to GA4.
Essential e-commerce events to track
Make sure these are being captured.
Page views:
Basic tracking of pages visited. Should work automatically.
Product views:
When someone views a product page. Essential for understanding product interest.
Add to cart:
When items are added to cart. Key conversion funnel step.
Begin checkout:
When checkout process starts. Identifies cart abandonment.
Purchase:
Completed transactions with revenue, items, and transaction ID.
Testing your tracking
Verify everything works before relying on data.
Test transaction tracking:
Complete a test purchase and verify it appears in analytics with correct revenue and products.
Test funnel events:
Walk through adding to cart and checkout. Verify events fire at each step.
Check multiple devices:
Test on desktop and mobile. Tracking issues can be device-specific.
Check multiple browsers:
Test Chrome, Safari, and Firefox. Browser differences can affect tracking.
Setting up marketing platform tracking
Track marketing effectiveness from the start.
Facebook/Meta pixel:
If you’ll advertise on Meta platforms, install the pixel now. It learns from all traffic, not just paid.
Google Ads conversion tracking:
If you’ll use Google Ads, set up conversion tracking before running campaigns.
Email platform integration:
Connect your email platform (Klaviyo, Mailchimp, etc.) to track email-driven conversions.
UTM parameter discipline
Tag your links from day one.
What UTM parameters do:
They tell analytics where traffic came from. Essential for understanding which marketing efforts work.
Standard parameters:
utm_source (where), utm_medium (how), utm_campaign (which campaign). Use consistently.
Tag everything:
All social posts, all email links, all ads. Untagged links lose attribution.
Keep a system:
Document your UTM naming conventions. Consistency enables analysis.
Basic reports to set up
Configure views you’ll check regularly.
Traffic overview:
Sessions, users, and page views by day. Your pulse check on visitor volume.
Traffic sources:
Where visitors come from. Organic, direct, referral, social, email, paid.
Top pages:
Which pages get the most traffic. Understand what content attracts visitors.
Conversion funnel:
Product view to cart to checkout to purchase. See where you lose people.
Revenue and transactions:
Sales data over time. Your core business metrics.
Setting up Google Search Console
Understand your search presence.
Verify your site:
Add your domain to Search Console and verify ownership.
Submit your sitemap:
Help Google discover all your pages by submitting your sitemap.
Monitor indexing:
Check that your pages are being indexed. Fix any indexing issues early.
Track search queries:
See what searches lead people to your site. Valuable keyword data.
Platform-specific analytics
Your e-commerce platform has useful data.
Shopify analytics:
Built-in reports for sales, customers, and products. Often more accurate than GA for transactions.
Sales reports:
Track revenue, orders, and average order value directly from your platform.
Customer reports:
See new versus returning customers, customer locations, and customer value.
Product reports:
Understand which products sell best and which underperform.
Metrics to track from day one
Focus on these essentials at launch.
Visitors:
How many people visit your site? Track daily and weekly.
Traffic sources:
Where do visitors come from? Which sources bring the most people?
Conversion rate:
What percentage of visitors buy? Your core efficiency metric.
Revenue:
How much are you selling? Daily and weekly tracking.
Average order value:
How much does each customer spend?
Top products:
Which products sell most? What do customers want?
What NOT to worry about yet
Save these for later.
Advanced attribution:
Multi-touch attribution requires meaningful traffic volume. Focus on basics first.
Complex segmentation:
Customer segments need enough customers to segment. Premature at launch.
Cohort analysis:
Cohorts require months of data. Not meaningful in week one.
Sophisticated tools:
Heat maps, session recordings, and advanced analytics can wait. Get basics right first.
Building good habits early
Establish practices that will serve you long-term.
Weekly review:
Check key metrics once a week. Build the habit before there’s much data.
Document decisions:
Note what you changed and when. You’ll want this context when analyzing later.
Question the data:
Small numbers create misleading patterns. Don’t over-interpret early data.
Common setup mistakes to avoid
Don’t make these errors.
Forgetting to test:
Installing tracking without verifying it works. Test before trusting.
Excluding your own traffic:
Your visits skew small-site data. Set up filters to exclude your IP.
Inconsistent UTM tagging:
Messy parameters make data unusable. Be consistent from day one.
Ignoring platform data:
Your e-commerce platform often has better transaction data than Google Analytics. Use both.
New store analytics setup checklist
Complete before launch:
Install Google Analytics 4 and verify it’s tracking. Enable e-commerce tracking with all funnel events. Test with a complete transaction. Set up Google Search Console and submit sitemap. Install advertising pixels if you’ll run paid ads. Connect email platform for tracking. Establish UTM parameter conventions. Configure basic reports to review weekly. Exclude your own traffic from analytics. Familiarize yourself with platform-native analytics.
Starting with proper analytics setup saves months of confusion later. The small time investment at launch pays dividends as your business grows and you need to understand what’s working.

