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How-to · 9 min read

Checkout OptimisationThe last hundred metres

Diagrams
02
Tools
03
Sections
09

The short answer

Checkout optimisation is the work of making the steps between 'add to cart' and 'order confirmed' as clear, fast and reassuring as possible. The biggest gains usually come from showing total costs early, allowing guest checkout, offering the payment methods customers trust, simplifying address and delivery entry, and removing surprises. Every step should be measured as its own funnel.

Checkout is where intent is highest and patience lowest

A shopper who reaches checkout has done most of the work. They have chosen a product, accepted the price and decided to buy. Yet checkout is where many online sales are lost, often for reasons that have nothing to do with the product: an unexpected delivery charge, a forced account creation, a missing payment option, a form that rejects their address.

Because intent is so high, checkout fixes tend to be among the most commercially valuable work in conversion rate optimisation. They are also among the most technical, touching payments, logistics, tax and fraud. That is why checkout deserves its own owner and its own measurement.

At checkout, every surprise is a reason to leave and every question is a reason to wait.

Measure checkout as its own funnel

Treat each checkout step as a stage and measure progression between them, segmented by device, payment method, new versus returning customers and traffic source. The pattern of drop-off points to the cause far better than an overall abandonment rate.

Fig. 01 · Funnel

A typical checkout funnel

  1. 01 · Cart viewed

    Are costs, delivery and returns clear here?

  2. 02 · Checkout started

    Is account creation forced? Is guest checkout obvious?

  3. 03 · Details and delivery

    Address entry, serviceability, delivery options and dates

  4. 04 · Payment

    Preferred methods available? Failures and retries?

  5. 05 · Order confirmed

    Clear confirmation, next steps and communications

Instrument each step; large drops between steps show where to investigate first.

Calculator

What checkout leakage is worth

Illustration: enter your own figures to see completion rate and the value of recovering a share of abandoned checkouts.

Checkout completion rate

60%

Orders divided by checkouts started

= orders / started

Abandoned checkouts

1,600

Started but not completed

= started - orders

Monthly value of the recovered share

₹1,44,000

Illustrative, at the same order value

= (started - orders) * (recover / 100) * aov

Defaults are illustrations. Use your own numbers. Nothing you enter leaves this page.

Some abandonment is natural. Shoppers use carts to check totals, compare delivery dates or save items for later. The aim is not zero abandonment but removing the avoidable kind. Exit surveys at checkout and session recordings help separate the two.

Show the full cost before checkout begins

Unexpected costs are a classic cause of abandonment. Delivery charges, taxes, cash-on-delivery fees and handling charges that appear late feel like a bait-and-switch, even when they are legitimate. Show estimated totals in the cart, or on the product page, with delivery cost and any free-delivery threshold explained plainly.

The same applies to delivery dates and returns. 'Arrives by Thursday' and 'Free returns within the stated period' answer questions that would otherwise send the shopper away to search. Put this information where the decision happens, not only in a policy page.

Do not force account creation

Fig. 02 · Comparison

Guest checkout versus forced account creation

Guest checkout offeredAccount required
First-time buyer experienceBuy now, decide about an account laterExtra form, password rules, verification before buying
Data capturedEmail and phone still captured for the orderSame data, plus a password
Repeat purchaseOffer account creation on the confirmation pageFaster for those who complete sign-up
RiskFewer accounts created overallLost first orders from impatient buyers
Offer the account after the purchase, when it is a convenience rather than a barrier.

Make guest checkout the obvious path, offer quick sign-in for returning customers, and invite account creation after the order is placed, when the value of tracking orders and faster reorders is clear. Phone-number sign-in with a one-time code is familiar to many shoppers, particularly in India.

Offer the payment methods customers trust

Payment preference varies by market, audience and order value. In India, UPI, cards, net banking, wallets, buy-now-pay-later and cash on delivery each serve different customers; elsewhere, local wallets and bank transfers may matter. Missing a preferred method sends the shopper elsewhere, and a long list of options can slow down everyone else.

  • Show the most-used methods first, based on your own data, with others available on demand.
  • Display recognisable payment logos to signal safety; see trust signals.
  • Monitor payment failure rates by method and gateway; failed payments look like abandonment in analytics but have a different cause.
  • Make retrying a failed payment easy, without re-entering all details.
  • For cash on delivery, consider verification steps or incentives to prepay; high return-to-origin rates are a major cost. See reducing RTO.

Make address and delivery effortless

Address entry is where many mobile checkouts stall. Support browser autofill with standard field names. Use postcode or PIN-code lookup to fill city and state. Check serviceability early, before the shopper has filled every field. Accept addresses in the forms people actually write them, including landmarks where that is local practice.

Offer delivery options with clear dates and costs, defaulting to the most popular. If you collect a phone number for delivery updates, say so, which also improves data quality. Apply the wider principles of form optimisation to every field.

Delivery promises must be honest. An optimistic date that is regularly missed may lift conversion today and raise cancellations, support contacts and refused deliveries tomorrow. Base estimates on real fulfilment data by region, and update them when conditions change, such as during festive peaks.

Remove distractions, keep reassurance

Checkout pages should feel focused: minimal header, no promotional banners, no links that lead back into browsing. But do not remove reassurance. A clear order summary, visible returns policy, secure-payment cues and a way to get help, such as a phone number or chat, keep shoppers confident.

Be cautious with discount-code fields. A prominent empty code box can send shoppers off to search for codes, sometimes never to return. A collapsed 'Have a code?' link is a common compromise.

The confirmation is part of checkout

Checkout does not end at the payment step. The confirmation page and messages that follow decide whether the customer feels certain the order went through, which reduces duplicate orders, anxious support contacts and cancellations. Show the order number, what was bought, the delivery date and how updates will arrive, whether by email, SMS or WhatsApp.

This is also the right moment to offer account creation, invite the customer to save details for next time, or suggest a genuinely relevant add-on. Keep it to one clear invitation. A confirmation page cluttered with offers undermines the reassurance it exists to provide.

Design for mobile first

Most checkout friction is amplified on phones: smaller keyboards, interrupted sessions, slower connections. Use large tap targets, the correct keyboard for each field, a persistent order total and a single clear action per screen. Save progress so that an interrupted shopper can return without starting over. Test the full flow on mid-range devices over mobile networks.

Myth vs reality

Checkout myths

For shoppers who leave anyway, a well-timed sequence of abandoned cart emails, WhatsApp or SMS messages, where consent allows, can recover a share of sales. Treat it as a complement to fixing checkout, not a substitute.

Checklist

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Checkout optimisation checklist

Key takeaways

  1. 01Checkout fixes are among the most valuable CRO work because intent is at its highest.
  2. 02Measure each checkout step as a funnel, segmented by device, payment method and customer type.
  3. 03Show full costs, delivery dates and returns before checkout to remove surprises.
  4. 04Make guest checkout the default and offer the payment methods your customers actually use.
  5. 05Simplify address entry, track payment failures and test on real mid-range phones.

Frequently asked

What is checkout optimisation?
Checkout optimisation is the process of improving the steps between adding items to a cart and completing an order so that more shoppers finish their purchase. It covers cost transparency, account requirements, payment methods, address and delivery entry, trust cues, mobile usability, error handling and measurement of each step.
Why do customers abandon checkout?
Common reasons include unexpected costs such as delivery charges, being forced to create an account, missing preferred payment methods, long or confusing forms, payment failures, concerns about security, unclear delivery dates or returns, and simply browsing without firm intent. Exit surveys and recordings reveal which apply to your store.
Is a one-page checkout better than a multi-step checkout?
Neither is better in every case. One-page checkouts reduce perceived steps; multi-step checkouts can feel lighter and make progress clear. Field count, clarity, error handling and payment experience usually matter more than the number of pages. Test both with your own customers if traffic allows.
Should I offer cash on delivery?
In markets where many shoppers expect it, such as India, cash on delivery can increase orders, especially from new customers. It also tends to bring higher return-to-origin and handling costs. Many stores offer it with verification, limits or incentives to prepay, and track its profitability separately.
How do I measure checkout performance?
Track progression between each checkout step, segmented by device, payment method, new versus returning customers and traffic source. Monitor payment failure rates by gateway, average order value and order completion time. Combine with exit surveys and session recordings to understand the causes behind the numbers.

Published by Fabulous.Media, a network of specialist marketing agencies. Updated 9 October 2026. Platform features change often; check current official documentation before acting on platform-specific detail.

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