How to spot a tracking problem before changing your offer

You publish a sales post, watch the clicks, and see almost no purchases. The easy conclusion is that the offer is wrong. But before rewriting the product page, changing the price or building a new product, check whether the numbers are describing the same journey. A missing event, a broken link or a mismatched date range can make a healthy offer look weak.

Start with the journey, not the conclusion

Write down the route a buyer should take: see your post, tap the link, land on your storefront, open the product, start checkout and complete payment. Each stage creates a different piece of evidence. A view is not a click. A click is not a product-page visit. A checkout is not a completed order. If you combine them into one vague idea of “interest”, you cannot tell where the problem sits.

The last row is the closest thing to ground truth for sales. Your storefront analytics can help you understand behaviour, but a reported conversion is only useful if you know what event it represents. On store.fan, you can review the selling and payment path through your storefront and connect the result to your own Stripe records. The payments feature is useful here because it keeps the question focused on completed transactions rather than clicks alone.

Check the link people actually receive

Copy the link from the original post, email or profile rather than assuming it is correct. Open it in a private browser window and on your phone. Follow it as a buyer would. Look for an old product, an unpublished page, a login wall, a redirect that loses its parameters or a link that points to your homepage instead of the offer.

1. 1Open the source post or message and copy the live link.
2. 2Confirm that it reaches the intended store.fan storefront or product page.
3. 3Tap the product and begin checkout without using an administrator shortcut.
4. 4Check that the price, currency, delivery promise and payment options match the message.
5. 5Complete a small test purchase only when you understand the refund and payment implications.

A link can appear to work for you while failing for buyers. You may be logged in, have a cached page or be using a device that handles the redirect differently. Test the path in the same broad conditions as your audience, especially if most traffic arrives from a social app. The analytics feature can help you compare visits and actions, but it cannot repair a destination that is wrong.

Reconcile events with payment records

Choose a fixed period, such as one day or one launch window, and write down four numbers: link clicks, product-page visits, checkout starts and successful payments. Do not try to make them equal. They measure different stages. Instead, look for a break that is too large to explain by normal drop-off or by people repeating an action.

• If clicks are present but product-page visits are zero, inspect the destination, redirect and event setup.
• If product-page visits are present but checkout starts are zero, inspect the product page, button and checkout flow.
• If checkout starts are present but successful payments are missing, check payment errors, abandoned checkouts and the date of the transaction.
• If payments exist but analytics shows none, check whether the success event fires after payment and whether the report includes the right storefront or product.

Make the dates and definitions agree

Many apparent discrepancies are calendar problems. Your social platform may report clicks in your local time, your storefront may use another time zone, and your payment record may show the time a transaction settled or was created. A post published late at night can therefore place clicks on one date and purchases on the next.

• Use the same start and end dates in each report.
• Record the time zone before comparing a launch day with payment records.
• Define a conversion as a successful payment, not a checkout start or button click.
• Exclude refunds, test orders and duplicate records when calculating net sales.
• Compare totals for the same product, not the whole shop against one campaign.

Then calculate the rates plainly. Click-to-purchase rate is successful payments divided by link clicks, multiplied by 100. Page-to-purchase rate is successful payments divided by product-page visits, multiplied by 100. If you change the denominator between reports, the percentage changes even when buyer behaviour has not.

Decide whether the offer is actually the problem

Only after the path is working should you interpret the offer. If people reach the correct page, read it, start checkout and repeatedly stop before payment, the product page, price, promise or checkout friction deserves attention. If people buy but your dashboard reports no conversions, fix measurement rather than changing the offer. If there are very few visits, you may not have enough evidence to judge the offer at all.

Keep a short diagnosis note for each campaign: source, link, date range, product, clicks, visits, checkouts, payments and anything that changed. Store.fan can be the storefront at store.fan/yourname, while your own Stripe account holds the payment record. That separation gives you a practical cross-check: the storefront explains the path, and Stripe confirms the transaction.