Ecommerce
Shopify analytics: the 9 numbers that actually decide whether your store grows
Shopify shows you dozens of numbers. Nine of them explain almost every good or bad month. Here is what each one tells you and what to do when it moves.
By the ARIQ Editorial Team 5 min read
Open the Shopify admin on a slow Monday and you will find more numbers than you can act on. Sessions, online store conversion, returning customer rate, top products, sales by channel, sales by device. Most store owners scan the total sales figure, feel good or bad about it, and close the tab.
That is a waste of good data. Total sales is the result. The numbers underneath it are the causes, and they are the only ones you can change. This guide walks through the nine we look at first when a store owner asks why a month went the way it did.
Start with the equation, not the dashboard
Every Shopify store runs on the same simple equation: sales = sessions × conversion rate × average order value. Add returns and repeat purchases and you have nearly the whole story. When revenue drops, one of those parts dropped. Your job is to find which one before you spend a rupee or a dollar fixing the wrong thing.
Say sales fell 20% last month. If sessions held steady and conversion rate fell, your traffic was fine and something on the site or in the offer put people off. If sessions fell and conversion held, the store is fine and you have a traffic problem, usually ads or search. Those two months need completely different fixes.
The 9 Shopify metrics worth checking every week
1. Sessions, split by source
Total sessions on its own tells you little. Split it by referrer: organic search, paid social, paid search, email, direct. A store that gets 70% of its visits from one paid channel is one bad week of ad costs away from a cash problem. If organic search is growing, the work you put into product pages and collections is paying off; our guide on finding keywords that are close to page one shows where to push next.
2. Online store conversion rate
The share of sessions that end in an order. Watch the trend rather than the number, because conversion rate depends heavily on what you sell and where the traffic comes from. A cold audience from a new ad campaign will always convert worse than your email list. Compare the same channel against itself, month on month.
3. The funnel steps behind conversion
Shopify breaks conversion into sessions with an add to cart, sessions that reached checkout, and sessions that completed checkout. This is where the real diagnosis happens:
- Low add-to-cart rate: the product page is the problem. Price, photos, unclear sizing, missing reviews, slow loading on mobile.
- Good add-to-cart, poor checkout reach: something in the cart scares people. Shipping costs revealed late is the usual cause.
- People reach checkout and leave: payment options, forced account creation, or delivery dates that are too far out.
4. Average order value (AOV)
AOV is the cheapest lever you have, because raising it does not need a single extra visitor. Bundles, a free-shipping threshold set a little above your current average, and sensible add-ons on the cart page all move it. Check AOV next to conversion rate though. A discount that lifts conversion while dragging AOV down can leave you with more orders and less money.
5. Returning customer rate
The share of customers who have ordered before. For consumables, beauty and food, this number decides whether the business is sustainable. If it is falling while new customer orders rise, you are buying growth with ad spend and not keeping it.
6. Sales by channel
Online store, Shop app, social channels, marketplaces, POS. This is the honest record of where orders were placed. It will not match what your ad platforms claim, and that gap is worth understanding. We cover it in detail in why Meta and Shopify never agree on sales.
7. Top products by units and by revenue
Sort both ways. The product that sells the most units is often not the one making the most money. Look for products with lots of views and few sales; they are usually a pricing or photography fix away from becoming a best seller.
8. Returns and refunds
Gross sales flatter you. Net sales, after returns, are what you keep. A rising return rate on one product is a quality or description problem, and it usually shows up in reviews a few weeks later.
9. Sales by device
Most stores now get the majority of sessions on phones. If mobile conversion is far below desktop, test your own store on a mid-range phone over mobile data. Slow images and pop-ups that cover the buy button are the common culprits.
Four numbers you can stop checking daily
- Live visitors. Interesting, never actionable.
- Total sessions without a source. It hides the one thing you need to know: where people came from.
- Daily sales. Day-to-day noise from paydays, weekends and one big order. Read weekly and monthly trends instead.
- Social follower counts. Track sessions and orders from social, not followers.
Read Shopify next to your ads and search data
Shopify tells you what happened in the store. It cannot tell you why the traffic changed. For that you need Google Analytics, Search Console and your ad accounts in the same view. If you are new to GA4, start with the eight GA4 reports worth opening.
This is exactly the job ARIQ was built for. It connects Shopify with Meta ads, Google Ads, GA4 and Search Console, puts them in one report, and ARIQ AI points out which part of the equation moved and why. You can see the format in our sample report, or start a free trial and connect your store in a few minutes.
Key takeaways
- Sales = sessions × conversion rate × AOV. Find which part moved before fixing anything.
- Split sessions by source and read conversion rate per channel, not as one number.
- The add-to-cart and checkout steps tell you where the store is losing people.
- Returning customer rate shows whether growth is bought or earned.
- Check weekly trends, not daily noise.
Frequently asked questions
What is a good conversion rate for a Shopify store?
It depends on what you sell, your prices and where the traffic comes from, so a single benchmark is misleading. Compare each channel with itself over time. A steady or rising rate on the same traffic source is a better sign than hitting any industry average.
Why do Shopify sessions differ from Google Analytics?
The two tools count visits differently, handle bots and ad blockers differently and apply their own session timeouts. Expect them to be close but not identical, and compare trends within one tool rather than mixing them.
How often should I check my Shopify analytics?
A short weekly review of sessions by source, conversion rate, average order value and returning customer rate is enough for most stores. Look at the full picture monthly.