Start with where the visitors come from
Most stores with traffic and no sales are paying for that traffic. Look at the orders you do get and where each one came from, using Shopify's Total sales by referrer report, not the ad platform's report. If most of your sessions come from paid social and almost none of your orders do, the ads are sending people who click and do not buy. That is a traffic problem, and no amount of work on the product page fixes it.
Read your own orders by channel
Every platform reports on itself, and every one of them reports a win. Shopify's own reports are the referee. One store was paying $1,700 a month for Facebook ads and an ad vendor, and in its slowest 30 days the whole store sold $5,110. For August 17 to September 15, 2026, the same store's email platform credited itself with 23 orders, while Shopify traced 10 orders to an email click. Until you read the orders yourself, you do not know what is selling.
Check the store is not turning buyers away
If the right people are arriving and still not buying, the store is stopping them: price, shipping cost, shipping time, missing trust signals, or a broken page. Look at checkout starts against completed orders. On one store, 33 of the 41 people who started checkout finished in the 30 days to August 20, 2026, about 80 percent, which meant checkout was not the problem and the effort belonged somewhere else.
Check the tools that should be selling for free
Most established stores already have the tools that bring in orders without an ad bill, and some of them are switched off without anyone knowing. Confirm your best products are published to the Google and YouTube channel so they can appear in free Google listings. On one store the highest-value products had never been published to it. Confirm your email flows are actually sending: one store's weekly email sequence showed as live for six weeks and reached 13 people. And check how many visitors the store can identify at all. On that store it was about 0.8 percent, which capped every email flow.
If the store is brand new
A new store with almost no traffic has a different problem. Before conversion, it needs to be found: products listed on Google, pages that can rank, and a reason for someone to come back. The checks above still apply, they just come after getting found.
What fixing it looked like on one store
On a direct to consumer beef brand already doing real revenue, turning on and checking those tools took sales from $5,110 in its slowest 30 days before the work to $35,812 in its best 30 days after. Google and email went from 24% of sales to 59%. The ads kept running. They just stopped carrying everything.
The proof, from one store
Straight from the case study, with the source and what it does not prove. See all five results.
Result 1 · SalesTotal sales: $5,110 to $35,812 in 30 days
Mar 20 to Apr 18, 2026$5,110
→Aug 17 to Sep 15, 2026$35,812
7x- Baseline: the worst case before the work
- $5,110 in sales from 27 orders, March 20 to April 18, 2026: the slowest 30 days the store had before the work began on June 4, 2026. Google and email brought in 24% of it.
- What we changed
- Rewrote product names, titles, descriptions and search snippets around what buyers search, with real weights (August 7 to 30). Built six city landing pages (August 1 and 2). Published the highest-value products to Google (August 24). Put welcome, abandoned cart and browse abandonment emails live (July 28) and replaced a weekly email that was not sending (September 4). Moved the Facebook budget to warm audiences (August 26).
- Result: the best case after
- $35,812 in sales from 75 orders, August 17 to September 15, 2026, 7 times the baseline. Google and email brought in 59% of it.
- Evidence source
- Shopify Analytics, Total sales over time and Total sales by referrer, pulled September 16, 2026. Beef shares count at full price on the day the deposit is paid, and the balance invoice that follows is left out, so no sale counts twice.
- What this does not prove
- This is the slowest 30 days before against the best 30 days after, not an average, which is why every month is in the table below. Beef shares are seasonal, and one September order for two whole shares was $9,480 of the result. The Facebook ads ran in both periods.
- Test it on your store
- In Shopify, go to Analytics, then Reports, and open Total sales over time. Find your slowest 30 days of the past year and compare them with your last 30. If you take deposits, count the full price on the day of the deposit.
If this sounds like your store
This is what Shopify store audit fixes. See it on one store, with the before and after, in
the case study.