Online stores face a constant race. Every click counts. Every view can turn into a sale. BigCommerce analytics tools help you track key signals. You gain clear insight into shopper paths. You spot faults and fix them fast. You grow revenue and build loyalty.
Below you find a step-by-step plan. You learn which metrics matter most. You see how to set up your analytics suite. You discover tactics that drive more sales with less guesswork.
Key Metrics to Track with BigCommerce Analytics
Choosing the right signals lets you focus on what matters. Below you find a list of core metrics plus tips on how to use each one.
- Traffic sources
Track visits by channel. Compare social, search, direct, email. Spot which channel brings best buyers. Shift budget to top channels. - Conversion rate
Divide orders by sessions. A higher rate means better shopper journey. Improve funnel steps that stall buyers. - Average order value (AOV)
Total revenue divided by order count. Boost AOV with tailored offers or product bundles. - Cart abandonment
Sessions with added items but no purchase. Identify page hiccups or payment issues. Fix form errors and boost revenue. - Repeat purchase rate
Orders from returning shoppers divided by total orders. A strong sign of product or service fit. Reward loyal buyers with targeted offers. - Time to purchase
Days between first visit and order. Shorter times hint at clear product pages and trust signals. Long gaps may need retargeting campaigns.
Traffic and Source Analysis
You track traffic by channel. Each channel has cost and effort. Search brings buyers that know what they want. Social links might spark new demand. Email engages past buyers. Direct traffic often means strong brand recall.
Action steps
- Pull week-over-week data for each channel.
- Flag any drop faster than 10 percent.
- Review campaign settings or landing pages.
Conversion Rate and Funnel Metrics
A funnel maps views, adds, checkouts, and orders. You spot drop points at each step. A steep fall at checkout signals payment friction. A slip at add-to-cart hints at poor product copy or images.
Action steps
- Map funnel steps in your analytics suite.
- Set alerts for drops over 5 percent.
- A/B test page elements where you see leaks.
Order Value and Customer Value
Order value drives revenue at scale. Customer lifetime value guides budget for acquisition. Use cohort analysis to spot trends. New customers may spend less at first. Long-term buyers often spend more per order.
Action steps
- Compare AOV for desktop vs mobile.
- Identify shoppers with AOV above site average.
- Target top spenders with loyalty perks.
How to Set Up BigCommerce Analytics for Your Store?
A clear plan makes setup quick. Follow these four steps.
- Enable native analytics
Go to BigCommerce control panel. Open Analytics setup. Turn on built-in reports. - Connect Google Analytics
Link your GA4 property. Use UTM tags for campaigns. Check data flow within 24 hours. - Define goals
Create purchase and sign-up goals. Track micro-conversions like newsletter joins. - Add custom dimensions
Tag product category and campaign codes. Filter reports by these labels.
Enable Native Reports
Native tools show revenue, top products, and visitor data without extra work. You access at Dashboard → Analytics. No code update needed. Native reports also sync with order history.
Link Google Analytics
GA4 delivers deep insight into visitor paths beyond checkout. You gain event-level data and custom funnels. Insert your tracking ID in Store Settings → Data Tracking. Test events with Google Tag Assistant.
Define Conversion Goals
A clear goal sharpens focus. Set “Order placed” as a primary goal. Add secondary goals such as “Cart add” and “Wishlist add.” This lets you view micro-conversions that signal purchase intent.
Add Custom Dimensions
Custom dimensions enrich reports. Label each order with campaign ID or source. Tag each product with type or season. Then filter by dimension to spot top-performing segments.
Tactics to Boost Store Performance with Data
Data alone won’t drive growth. You need tactics backed by insight. The following list offers proven moves that use analytics to push revenue up.
- Personalize product suggestions
Use past view and purchase data to show relevant picks. - Optimize checkout flow
Remove fields that stall buyers. Use guest checkout and progress bars. - Run price tests
Test a small discount or free-ship banner. See effect on conversion and AOV. - Segment email list
Group shoppers by purchase history, geography, or cart size. Send tailored offers. - Refine ad targeting
Feed high-value segments into ad platforms. Lower cost per order and limit waste. - Improve site speed
Use analytics to find slow pages. Compress images. Load critical content first.
Personalize Product Suggestions
You tap into data on past views. You offer picks that match buyer taste and budget. A shopper who snapped up a hiking boot might like a new sock pack. You show both options at checkout. That ups AOV and loyalty.
Optimize Checkout Flow
A long form can kill a sale. Keep fields to name, address, and payment only. Offer login via social or email auto-fill. Add a progress indicator so buyers know how many steps await.
Run Price Tests
A 5 percent drop in price can lift conversion by 10 percent. You test on 10 percent of traffic. You compare group A and B. A wins, so you roll out to all shoppers within hours.
Segment Email List
Not every offer works for every buyer. You group shoppers who bought high-end gear last quarter. You send early access invites. Meanwhile you send budget deals to first-time buyers. Open rates and click rates climb.
Refine Ad Targeting
You spot that mobile users from one region bring orders at twice the site average. You shift ad spend to that region’s mobile audience. Your cost per order falls and revenue grows.
Improve Site Speed
Analytics shows page load times over three seconds. You compress images and enable lazy load. After tweaks, load time drops under two seconds. Conversion rate climbs by 12 percent.
Why Choose Anchor Group for BigCommerce Implementation?
Anchor Group pairs deep platform expertise with a calm, straightforward BigCommerce implementation process. We help you get up and running fast and avoid common errors that cost time and money.
Expert Setup and Custom Reports
We craft reports that match your unique goals, rather than generic dashboards we build custom views that shine a light on your top priorities. You see the data you need, not a sea of numbers.
Rapid Deployment and No-Hassle Switch
Our team moves at pace without rush. We review your current site, map data flows, and plan each step. We integrate analytics and testing in staging to avoid downtime. Go live with confidence.
Ongoing Support and Training
Once we hand you the keys you won’t feel alone. We offer live training sessions and quick-response support. You gain skills to own reports and adjust goals as your business grows.
Clear Roadmap and Calm Confidence
No upsell traps. No tech jargon without plain-English backup. We guide you through each step and explain every choice. You make informed decisions without second-guess or stress.
Final Thoughts
Store owners who rely on gut calls alone leave money on the table. Analytics tools deliver clear signals on what works and what stalls buyers. Set your metrics, watch results, and act fast.
You free your team from guesswork. You boost revenue while trimming wasted effort. You build a site that adapts as shopper behavior shifts. Ready to gain real insight and grow with BigCommerce analytics? Partner with Anchor Group for a smooth launch and steady growth. Watch your data turn into dollars.