A guest who built a cart and left without ordering almost never decided the food wasn't worth it. Far more often, something in the checkout process itself, an unexpected step, a slow page, an unclear total, quietly ended the order before it was placed.
The Usual Suspects Behind Abandonment
- An account requirement forced before checkout can even begin.
- Fees or taxes that only appear at the final step, with no earlier estimate.
- A slow-loading page, especially on mobile during a busy ordering window.
- Too many required fields for information that isn't actually necessary.
- No clear estimated time for pickup or delivery before the guest commits.
Any one of these on its own might only cost a handful of orders a week. Stacked together on the same checkout flow, though, they compound: a guest who survives a slow load only to hit a surprise fee, then an unnecessary account prompt, is far more likely to give up than one facing any single friction point alone.
What to Check First
- Test the checkout flow on an actual phone, not just a desktop browser.
- Confirm the total price is visible and accurate before the final confirmation step.
- Remove any account creation requirement that isn't strictly necessary to complete an order.
- Check page load time during a typical peak ordering hour, not just when traffic is low.
Doing this once as an actual guest, not a manager assuming the flow works, tends to surface more real friction than any amount of guessing. Placing a real test order on a phone during a genuinely busy hour shows exactly what a guest experiences, rather than the smoother version an owner might picture from memory.
Repeating this same test every few months, rather than once at launch and never again, catches friction that creeps in gradually, a slower page after a design update, a new required field added without much thought, that a single early test would never reveal.
The Specific Cost of a Surprise Fee at the Last Step
Of all the friction points on this list, an unexpected fee appearing only at the final confirmation screen tends to be the single most reliable way to lose an otherwise-committed guest. A guest who has already built a cart and started checkout has effectively decided to order; seeing the total jump unexpectedly right before confirming reads as a bait-and-switch, even when the fee itself is legitimate, and often ends the order entirely rather than just prompting a shrug and a continue.
Showing the same fee earlier in the flow, even as an estimate rather than an exact figure, largely defuses this reaction, since the guest has time to absorb the true total before becoming psychologically committed to a lower number.
This applies just as much to delivery fees and service charges as it does to tax, since a guest reacts to any unexpected addition the same way regardless of what label the line item actually carries.
How AUANI Handles This
AUANI's direct ordering widget and hosted website, included on the Monthly tier, are built around a straightforward checkout flow, and menu analytics can help identify where guests are dropping off if abandonment is happening at a specific step.
Seeing exactly where in the flow guests tend to leave, rather than guessing at the cause from the final abandonment count alone, makes it far easier to tell whether the real issue is a slow page, a surprise fee, or an unnecessary form field standing in the way.
Frequently Asked Questions
Does requiring an account always hurt conversion?
Not always, but requiring one before checkout, rather than offering it as an option afterward, tends to cost more completed orders than it gains in return visits.
How much does page load speed actually matter?
Meaningfully, since a slow page during a busy ordering window is one of the most common reasons a guest gives up before finishing.
Should delivery fees be shown earlier in the process?
Showing an estimate earlier, rather than only at final checkout, tends to reduce the surprise that leads to abandonment.
Can menu analytics show exactly where guests are dropping off?
It can surface item-level and order pattern data that helps identify likely friction points, though it works best alongside direct testing of the checkout flow itself.
What is the wider guide this fits into?
The Restaurant websites & direct ordering guide covers this alongside hosted websites and the 0% widget.
Why does a surprise fee at checkout hurt more than the same fee shown earlier?
It reads as a bait-and-switch even when legitimate, since the guest already mentally committed to a lower total, and often ends the order rather than just prompting a shrug.
For the wider picture, including why a hosted website matters and how the 0% widget works, see the Restaurant websites & direct ordering guide.