Growth
How to audit your own store in a day
A timeboxed one-day audit for an online store: seven passes, what to look at in each, and how to turn the findings into a list ranked by revenue at stake.
By CartKernel · Published
A useful store audit is not a two-hundred-point checklist. It is seven passes through the business in a single working day, each with a time limit, each producing findings written in the same format, ending with one ranked list. The time limit is what makes it work: without it, the first pass expands to fill the day and the checkout never gets looked at.
Book the day. Turn off notifications. Have the store, analytics, Search Console, the ad accounts and a phone in front of you. Write every finding in this shape and nothing longer:
What you observed. Where. Roughly what it is worth. What you would do.
The value estimate is a rough order of magnitude, not a forecast. Its only job is to sort the list at the end.
Pass one, 60 minutes: the numbers
Establish where the business actually is before forming opinions about it.
Pull the last twelve months and the last ninety days: revenue, orders, sessions, conversion rate, average order value, new versus returning customer revenue, and total marketing spend. Chart them monthly. Note where the lines diverge from each other, because that is where the story is: traffic up and revenue flat, orders up and value down, spend up and orders unchanged.
Then break the four levers apart. Revenue is traffic multiplied by conversion rate multiplied by order value multiplied by purchase frequency, and only one of those is usually the constraint. Work out which one is holding the store back before spending the rest of the day looking at everything. The revenue lever calculator will show what a realistic move on each lever is worth at your current numbers, which is what keeps the ranking honest later.
Finish this pass with one sentence: the store’s biggest constraint is X. Everything after this is either evidence for that sentence or a correction to it.
Pass two, 45 minutes: the store as a first-time shopper
On a phone, on mobile data, not on office wifi and not logged in.
Search for your own brand, click the result, and go from there as though you had never seen the site. Home, a category, a filter, a product, add to cart, checkout, to the payment step. Then repeat from a product page reached by search rather than from the homepage, since that is how most people actually arrive.
Note everything that made you pause, everything you had to scroll to find, everything that loaded late, and every question you would have asked a shop assistant. Do not fix anything yet. Do not open the code.
Then do the same on desktop and compare. If the two experiences feel like different businesses, that is a finding, and why is mobile conversion rate lower than desktop covers the usual causes.
Pass three, 45 minutes: the product page
Take the three products with the most revenue and the three with the most sessions and the fewest orders. The second group is where the money is hiding.
For each, check:
- Does the first screen say what it is, what it costs, whether it is available and when it arrives.
- Do the images answer the questions the category raises: scale, colour, texture, what is included.
- Is the top objection for this product answered above the fold or buried in a tab.
- Are shipping cost and delivery timing visible before the cart.
- Are reviews present, specific and filterable, or a star average with no substance.
- Is the size, fit or compatibility information specific to this product rather than generic.
- Is the add to cart button reachable without hunting on a phone.
The gap between the two groups is usually one or two recurring faults rather than six unique ones. Note the pattern, not every instance. Product page CRO is the follow-on work, and add to cart rate is the number these changes move first.
Pass four, 45 minutes: cart and checkout
Complete a real order, with your own money, on a phone. Then start a second order and abandon it at each step in turn to see what happens.
Look for: forced account creation, a discount field that invites people to leave and search for a code, shipping cost revealed only at the final step, a form that fights an address autofill, a payment step with too many options and no default, and any place where an error message does not say what to correct.
Then check the numbers behind it. Where does the drop happen between cart view, checkout start, shipping, payment and purchase. One step usually accounts for most of the loss, and that step is the finding. The full method is in checkout abandonment audit.
Pass five, 60 minutes: acquisition
Split this into three twenty-minute blocks and stop when the timer says so.
Organic. In Search Console, look at the last six months of clicks and impressions by page group. Which page types earn: products, collections, guides. Which queries bring clicks and which bring impressions without clicks. Check the index coverage report for pages excluded that should not be, and for the volume of indexed URLs against the number of pages you meant to have. A large gap is index bloat and it usually comes from filters or tags.
Paid. For each account: spend by campaign against orders from the store, not from the platform’s own conversion column. Look for campaigns spending on terms you would not have chosen, budget capped on the campaigns that work, and disapprovals sitting unnoticed. If you run shopping surfaces, open the account diagnostics and count the disapproved and warned products. That count is a revenue number, and Merchant Center diagnostics is the work to clear it.
Email and retention. Which flows exist, when each last sent, and revenue per recipient by flow. A missing or broken flow is the fastest revenue in any audit, because the audience already exists.
Pass six, 30 minutes: technical health
Not a full technical audit. Four checks, chosen because they are the ones that quietly cost money.
- Speed on the templates that carry traffic. Run a product page and a collection page through a field data tool on mobile. The homepage score is the least useful number available. Core Web Vitals at the template level is what to record.
- Indexation of product pages. Take twenty product URLs and check they are indexed. If a share are not, product pages not indexed is the diagnosis.
- Site search. Search your own store for a product by a name a customer would use, by a partial word, and with a typo. Broken internal search is invisible in most reporting and expensive on stores with a large catalogue.
- Purchase tracking. Confirm one recent order appears once in analytics and in each ad platform, with the correct value. Duplicates and gaps both distort every decision the store makes.
Pass seven, 45 minutes: rank and decide
Now assemble the list. For each finding, estimate three things quickly:
| Column | How to fill it |
|---|---|
| Revenue at stake | Rough annual value if fixed, using the store’s own numbers |
| Effort | Hours or days, and who has to do it |
| Confidence | High, medium or low that the fix produces the effect |
Sort by revenue at stake divided by effort, then apply judgement to the top ten. Pick five for the next thirty days and be explicit that everything else is deferred. An audit that produces forty actions produces none.
Two rules that make the list survive contact with the week ahead. Every item needs one named owner, not a team. And every item needs a way to tell whether it worked, chosen before the work starts, because the next audit is much easier when you can see what the last one changed. Which reports should an ecommerce store check weekly covers the numbers to keep watching in between.
What a day cannot cover
Be honest about the limits so nobody treats the output as complete. One day does not give you a proper keyword and competitive landscape review, a full technical crawl of a large catalogue, statistically sound conversion testing, a margin analysis at product level, or an accessibility audit. It gives you a ranked view of the obvious, which is usually where the largest and cheapest improvements sit.
Run it quarterly. The second time takes half as long, because the format is familiar and the previous list tells you what to check first. If you would rather have the same review done from outside, that is what the free growth analysis is: the ranked list, ordered by revenue at stake, using your store’s own numbers.