Jillur Rahman

Jillur Rahman

Front-End Developer

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Analytics11 min read

How to Use Shopify Analytics to Actually Make Better Business Decisions

Shopify gives you a lot of data. Most store owners look at it, feel overwhelmed, and close the tab. Here's exactly which numbers actually matter, what they're telling you, and how to use them to make decisions that grow your store.

ShopifyAnalyticsDataBusiness DecisionsE-commerce Metrics
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You open Shopify analytics.

There are graphs. A lot of graphs. Sales over time, sessions, conversion rate, top products, returning customer rate, average order value, traffic sources, and a dozen other numbers all competing for your attention.

You look at the total sales number — the big one at the top — and close the tab.

This is how most store owners interact with their analytics. They check the headline number, feel good or bad depending on what it says, and make decisions based on gut feeling rather than data.

That's understandable. Analytics dashboards are genuinely overwhelming, especially when you're also running ads, managing inventory, handling customer service, and trying to grow a business at the same time.

But the store owners who grow consistently are almost always the ones who understand their numbers. Not all their numbers — the right numbers. The ones that actually tell you something actionable.

This guide cuts through the noise and shows you exactly which metrics matter, what they're actually telling you, and how to use them to make better decisions.


The Most Important Principle Before Anything Else

Data is only useful when it leads to a decision.

Before you look at any metric, ask yourself: "If this number is bad, what will I do differently? If this number is good, what will I do more of?"

If you can't answer that question, the metric doesn't matter to you right now. Stop tracking it.

The goal is not to have a comprehensive understanding of every aspect of your store. The goal is to identify the specific things that are working, the specific things that aren't, and use that to prioritize where you spend your time and money.


The Metrics That Actually Matter

1. Conversion Rate

Where to find it: Shopify Analytics → Overview → Conversion rate

What it means: The percentage of people who visit your store and make a purchase. If 100 people visit and 2 buy, your conversion rate is 2%.

Why it's the most important metric: Your conversion rate tells you whether your store is doing its job. Everything else — traffic, ad spend, email marketing — feeds into conversion rate. A high conversion rate means your store is convincing people to buy. A low conversion rate means something is stopping them.

What the numbers mean: Below 1% → Something is seriously wrong. Product-market fit issue, store trust issue, or major UX problem.

1% - 2% → Below average. Investigate what's causing drop-off.

2% - 3% → Average for e-commerce. Room to improve.

3% - 5% → Good. Your store is working. Focus on scaling traffic.

Above 5% → Excellent. You have a very strong product-store fit.

What to do with this number: If your conversion rate is below 2%, improving it is your highest priority — more important than getting more traffic. Doubling your conversion rate from 1% to 2% doubles your revenue from the same traffic without spending a dollar more on acquisition.

If your conversion rate is above 3%, focus on traffic and customer acquisition. The store is working — bring more people to it.


2. Average Order Value (AOV)

Where to find it: Shopify Analytics → Overview → Average order value

What it means: The average amount spent per order. If you made $5,000 from 100 orders, your AOV is $50.

Why it matters: AOV directly determines how much revenue you generate per customer acquisition. If your cost to acquire a customer is $15 and your AOV is $30 with a 50% margin, you make $15 gross profit per customer — barely breaking even. If you raise AOV to $50, you make $25 gross profit per customer. Same acquisition cost, 67% more profit.

What to do with this number:

If your AOV is lower than you'd like, the levers to pull are:

Bundles — Offer products together at a slight discount. A customer who was going to buy one item for $25 might buy a bundle of three for $60 if it feels like a good deal.

Free shipping threshold — If your average order is $35 and you offer free shipping over $50, many customers will add more to their cart to reach the threshold. Set the threshold at approximately 30% above your current AOV.

Upsells at checkout — A relevant product recommendation at checkout ("customers who bought this also bought...") can add $10 to $20 to many orders.

Volume discounts — "Buy 2, save 10%. Buy 3, save 20%." Encourages customers to buy more than they originally planned.


3. Customer Acquisition Cost (CAC)

Where to find it: Not in Shopify directly — you calculate it yourself.

How to calculate it: Total marketing spend in a period ÷ Number of new customers in that period = Customer Acquisition Cost

If you spent $2,000 on ads last month and got 80 new customers, your CAC is $25.

Why it matters: CAC tells you what you're paying to bring in each new customer. Combined with your gross margin per order, it tells you whether your business model is profitable.

The math that matters: AOV × Gross Margin % = Gross Profit per Order

Gross Profit per Order - CAC = Profit per Customer

If this number is negative, you're losing money on every customer you acquire.

What to do with this number: If your CAC is too high relative to your gross profit per order, you have three options: reduce acquisition costs (improve ad targeting and creative), increase gross profit per order (raise prices or reduce COGS), or increase AOV (strategies above).

Track CAC by channel. Your Facebook CAC might be $30 while your Google CAC is $18. That tells you where to put more budget.


4. Customer Lifetime Value (LTV)

Where to find it: Shopify Analytics → Reports → Customers over time (for repeat purchase data)

What it means: The total revenue a customer generates across all their purchases with you — not just the first one.

Why it changes everything: LTV reframes what you can afford to spend on acquisition. If a customer's first order is worth $40 to you but their lifetime value is $200, you can afford to spend up to $200 to acquire them — not $40.

Businesses that understand LTV can outspend competitors who only look at first-order profitability and still be more profitable in the long run.

How to estimate it: Average Order Value × Average number of purchases per year × Average customer lifespan in years = Customer Lifetime Value

A customer who spends $50 per order, buys 3 times per year, and stays for 2 years has an LTV of $300.

What to do with this number: If your LTV is high but your first-order profitability is low, you can justify higher acquisition costs — as long as you have systems to bring customers back (email marketing, loyalty programs, great product experience).

If your LTV is only slightly higher than your first order value, customers aren't coming back. That's a retention problem to solve before you can scale aggressively.


5. Returning Customer Rate

Where to find it: Shopify Analytics → Overview → Returning customer rate

What it means: The percentage of your orders that come from customers who have bought from you before.

Why it matters: Returning customers cost almost nothing to acquire — they're already in your ecosystem. They convert at a higher rate than new visitors. They spend more per order. They're more likely to leave reviews and refer friends.

A high returning customer rate is a sign of a healthy, sustainable business. A low one means you're constantly on a treadmill of expensive new customer acquisition.

What the numbers mean: Below 15% → Almost all revenue from new customers. Expensive and fragile.

15% - 25% → Average. Room to improve retention significantly.

25% - 40% → Good. Healthy mix of new and returning customers.

Above 40% → Excellent. Strong brand loyalty. Sustainable growth.

What to do with this number: If your returning customer rate is low, the most impactful things to improve it are post-purchase email flows, a loyalty program, product quality (obvious but worth saying), and proactive customer service that makes people feel taken care of.


6. Traffic Sources

Where to find it: Shopify Analytics → Reports → Sessions by traffic source

What it means: Where your visitors are coming from — direct, organic search, paid social, email, referral, etc.

Why it matters: Not all traffic is equal. Traffic from organic Google search converts differently than traffic from paid Instagram ads, which converts differently from email traffic. Understanding where your traffic comes from and how each source converts helps you allocate your time and budget.

What to look at:

For each traffic source, note:

  • How many sessions it brings
  • What the conversion rate is for that source
  • What the average order value is from that source

You might find that organic search brings 20% of your traffic but 40% of your revenue — because people who find you through Google search are further along in their decision-making. Or you might find that your email list brings 10% of traffic but 30% of revenue.

These insights tell you where to invest more.


7. Cart Abandonment Rate

Where to find it: Shopify Analytics → Reports → Checkout funnel

What it means: The percentage of customers who add something to their cart but don't complete a purchase.

Industry average: 70% of carts are abandoned across e-commerce. Yes, 70%.

Why it matters: Every abandoned cart is a customer who was interested enough to add your product. They didn't leave because they didn't want it — something stopped them. Understanding what stopped them is valuable.

What to do with this number:

If your abandonment rate is above 80%, something specific is causing drop-off. Common causes:

  • Unexpected shipping costs appearing at checkout
  • Required account creation
  • Checkout process too long or confusing
  • Payment options missing
  • Site feels untrustworthy at checkout

Set up abandoned cart email flows if you haven't already. A well-timed email sequence recovers 5 to 15% of abandoned carts automatically.


How to Build a Simple Weekly Review

You don't need to look at analytics every day. You need to look at the right things at the right intervals.

Weekly — 10 minutes: □ Total revenue vs last week □ Conversion rate vs last week □ Traffic volume vs last week

If conversion rate dropped but traffic is the same → store problem If traffic dropped but conversion is same → marketing/channel problem

Monthly — 30 minutes: □ AOV trend — is it going up or down? □ Returning customer rate — improving? □ CAC by channel — where is budget working? □ Top products — what's selling, what isn't? □ Checkout funnel — where are people dropping?

Quarterly — 1-2 hours: □ LTV calculation — are customers worth more over time as retention improves? □ Channel performance review — reallocate budget from low-performing to high-performing □ Product performance — discontinue what isn't selling, invest in what is □ Set targets for the next quarter based on what the data shows is possible


The Free Tools to Add to Your Analytics Stack

Shopify's built-in analytics covers most of what you need. But two free tools fill important gaps:

Google Analytics 4 — Connect it to your Shopify store for deeper traffic analysis, audience insights, and attribution modeling. Particularly useful for understanding the full customer journey across multiple touchpoints.

Microsoft Clarity — Records real visitor sessions and generates heatmaps showing where people click, scroll, and drop off. This is qualitative data that explains the quantitative numbers. When your conversion rate drops, Clarity shows you why by letting you watch what customers actually do on your store.

Both are free. Both provide insights that Shopify's native analytics don't.


The One Thing to Take Away

Most store owners make decisions based on how last week's sales felt compared to the week before. That's not data — that's intuition dressed up as analysis.

Pick three metrics from this guide. Track them weekly for the next 90 days. Make at least one business decision based on what they tell you each month.

After 90 days, your understanding of your own store will be dramatically deeper than it was before — and your decisions will be better because of it.


If you're looking at your analytics and not sure what they're actually telling you about your store's specific situation, I'm happy to look at your numbers with you and help you figure out where to focus.

Tags:ShopifyAnalyticsDataBusiness DecisionsE-commerce Metrics
Jillur Rahman — author

Jillur Rahman

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Front-End Developer & Shopify Theme Specialist — building fast, conversion-focused web experiences for agencies and brands worldwide.

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