The customer account often decides whether a full shopping cart in your online store becomes a purchase or not. On average, 70.22% of all carts are abandoned (Baymard), and 19% of shoppers abandon their purchase because the store forces them to create an account (Baymard). At the same time, registered customers are far more valuable: existing customers typically spend 67% more than new ones (eDesk). The art lies in designing registration so it converts rather than deters: guest checkout as the default, passkeys and social login as low-friction options, and progressive profiling to build customer data over time. This guide shows how to optimize customer accounts and checkout so that more first purchases succeed and more first-time buyers become repeat customers.
Why Forced Account Creation Costs Conversion
Mandatory account creation is one of the most expensive friction points in e-commerce. According to the Baymard Institute, the average documented cart abandonment rate is 70.22%, averaged across 50 independent studies (Baymard). Of the shoppers who drop out during checkout, 19% cite that the store wanted to force them to create an account (Baymard). On top of that, 18% abandon because of a checkout process that is too long or complicated (Baymard) - a problem significantly worsened by mandatory registration forms.
The mechanism behind this is psychologically understandable: someone who wants to buy wants to pay, not manage an account. Forced registration interrupts purchase intent, demands extra decisions (inventing a password, confirming an email), and raises privacy concerns. The average checkout contains 14.88 form fields - roughly twice as many as needed, since a checkout can be reduced to 7 to 8 fields (Baymard). Every additional required field measurably lowers the completion rate.
19% of abandoning shoppers leave because an account is mandatory (Baymard). After unexpected extra costs, this is one of the most common avoidable abandonment reasons. The solution is not to abolish the account but to decouple it: guest checkout as a visible default, account creation as an optional step after the purchase. Purchase intent stays undisturbed, and the account rate still rises - because the incentive is then concrete.
For store operators this means: the first purchase must not fail at an account hurdle. Anyone positioning registration as a prerequisite rather than an offer gives away revenue exactly where purchase readiness is highest. Thoughtful conversion optimization therefore cleanly separates what is needed for the purchase from what strengthens later customer retention.
Guest Checkout as the Default, Not a Workaround
Guest checkout is the single most effective measure against registration-driven abandonment. Instead of forcing account creation, it enables purchase with minimal data entry - usually email, delivery address, and payment details. Removing the account requirement can typically recover a substantial share of otherwise lost carts because it eliminates the biggest friction point in the ordering process.
Visibility is decisive: guest checkout must appear as an equal, prominent option - not a hidden link beneath the login form. In practice, many stores place the login block on top and the guest path below, unnecessarily confusing first-time buyers. A clear fork right after the cart works better: "Order as guest" with equal standing next to "Sign in." A well-designed checkout architecture reduces form fields to the essentials and uses autocomplete for address and city - a core element of any conversion-oriented store development.
| Aspect | Forced account | Guest checkout (recommended) |
|---|---|---|
| Entry barrier | High (password, confirmation) | Low (purchase data only) |
| Abandonment risk | 19% from forced account (Baymard) | Significantly reduced |
| Form fields | 14.88 on average (Baymard) | 7-8 possible (Baymard) |
| Account creation | Forced before purchase | Optional after purchase |
| Best fit | Pure repeat-customer stores | New and returning buyers |
A common objection is that guest orders provide fewer customer data. That is only seemingly true: since every guest order captures an email and an address anyway, the store already holds the core data. From these, an account can be created with one click on the order confirmation page ("Set a password and order faster next time"). The store thus gains both conversion and account rate at once - an approach our e-commerce consulting also recommends.
Passkeys and Social Login: Reduce Login Friction
When an account is created, access should be as low-friction as possible. Classic passwords are the weakest link here: they get forgotten, lead to password-reset loops, and lower the login success rate. Passkeys - passwordless authentication via biometrics or device PIN - change this fundamentally. According to the FIDO Alliance, passkeys boost the conversion success rate by 30% over passwords (FIDO Alliance), and the average sign-in time drops from 27.5 seconds to 13.6 seconds (FIDO Alliance).
Adoption is already high: 69% of users now have at least one passkey (FIDO Alliance), and 26% of all sign-ins already run through passkeys (FIDO Alliance). For store operators, this is a clear signal to offer passwordless authentication as a login option. Social login additionally lowers the barrier: 77% of internet users consider social login a good registration solution (LoginRadius), and providing it can increase the registration rate by up to 50% (LoginRadius).
Passkeys
Biometrics instead of a password. +30% conversion and 13.6s instead of 27.5s sign-in time (FIDO Alliance). Phishing-resistant and without password resets.
Social Login
One-click sign-in via existing accounts. Up to +50% registration rate (LoginRadius). GDPR-compliant implementation with clear consent.
Freedom of Choice
Offer several options in parallel. Combining classic and social sign-in typically increases sign-ups by 8.5% (LoginRadius).
Legally sound implementation matters: social login may only happen with clear consent and transparent data sharing, and passkeys must be combined with a fallback (e.g. an email magic link) in case a device is unavailable. These options do not replace guest checkout but complement it for customers who deliberately want to commit.
Progressive Profiling Instead of a Data Flood Upfront
Progressive profiling means capturing customer data step by step across multiple interactions rather than asking for everything in the first form. The core idea: every additional required field costs conversion. An analysis by HubSpot shows that the conversion rate drops by an average of 7% per additional required field (HubSpot Research). So by asking only for the essentials at registration and adding further data later, you keep the entry barrier low.
In practice it looks like this: the first purchase captures only email and delivery data. On the second visit, the store optionally asks for a birthday (for a birthday voucher) or preferred categories. Later come preferences for newsletter topics or sizes. Over time, a rich profile emerges without burdening the first purchase. Studies document that progressive profiling can increase the conversion rate by up to 20% (Aritic).
- First purchase: Purchase data only (email, address, payment) - maximum conversion
- Account creation: One click on the order confirmation (set a password or passkey)
- Second visit: Optional preferences (categories, sizes, birthday for a voucher)
- Return visit: Behavior-based profiling (purchased products, wishlist) without active prompts
- Retention phase: Newsletter topics and channel preferences for relevant outreach
Progressive profiling feeds directly into personalization: the more a store knows about preferences, the more relevant recommendations and outreach become. It is important to always tie data collection to a benefit (voucher, faster ordering, fitting recommendations) and to design it GDPR-compliant with clear purpose limitation. Data without a recognizable return feels intrusive and lowers trust.
Build Trust: Trust Signals Around the Account
A customer account is a matter of trust: the customer hands over personal data and expects security in return. Registration in particular determines whether that trust forms. Visible trust signals - SSL indication, transparent privacy information, familiar payment logos, and clear benefits - lower the perceived barrier of entering data. Those who get this right benefit: a thoughtful combination of trust signals in the online store and a low-friction account flow strengthens purchase readiness.
Concretely, for the account area this means: when creating an account, it should be clear which data is used for what and what benefit the customer receives. Passkeys pay off twice here - they are not only faster but also more secure because they are phishing-resistant. This can be actively used as a trust argument: "Sign in with your fingerprint - no password that can be stolen."
Transparency about data usage is not a tiresome obligatory text but an active trust signal. When creating an account, communicate clearly: which data is captured, what it is used for, and how the customer controls it. Combined with phishing-resistant passkeys and visible security cues, the account turns from an obstacle into a trust anchor - implemented in line with current GDPR requirements.
Error communication is part of this too: vague error messages ("Invalid input") frustrate and lead to abandonment. Precise, helpful hints ("Password needs at least 8 characters") keep users in the process. These details add up - every smooth step increases the likelihood that a visitor becomes a registered customer.
Account Benefits That Drive Repeat Purchases
The real value of a customer account shows after the first purchase. Registered customers buy again, and repeat buyers are far more valuable: returning customers convert at 3.5 to 4.5% versus 2.5% for new customers (Shopify), and existing customers overall spend 67% more than new ones (eDesk). Even a 5% higher retention rate can increase profits by 25 to 95% (Bain & Company). The account is the lever that makes these repeat purchases possible in the first place.
The likelihood of repeat purchases rises with every order: after the first purchase the return probability is around 27%, after the second 45%, and after the third 54% (RJMetrics). An account that eases the next purchase - saved addresses, order history, quick reordering - accelerates exactly this effect. This directly impacts customer lifetime value: even a 5% higher retention rate can increase profits by 25 to 95% (Bain & Company).
Faster Reordering
Saved addresses and payment methods drastically shorten the next checkout. Repeat buyers convert at 3.5-4.5% instead of 2.5% (Shopify).
Higher Customer Value
Existing customers spend 67% more than new ones (eDesk). Order history and recommendations raise the average cart.
Loyalty and Retention
Accounts enable loyalty programs and targeted retargeting via first-party data instead of third-party cookies.
Better Data Foundation
Order and preference data improve personalization and assortment planning - the basis for relevant outreach across the entire customer journey.
For benefits to work, they must be communicated. Instead of "Create account," name the value concretely: "Track orders, reorder faster, receive exclusive offers." The more tangible the benefit, the higher the willingness to register after the purchase. The account thus turns from an end in itself into a genuine customer promise.
First-Party Data and the Customer Journey
In a world without third-party cookies, customer accounts are the most important source of first-party data. Every account provides consent-based information that may be used for personalization, email marketing, and retargeting - unlike third-party cookies, which are increasingly disappearing. Those building account data systematically today create the foundation for retargeting without third-party cookies and data-driven outreach.
The account connects individual touchpoints into a continuous view. Instead of isolated sessions, a consistent customer picture emerges across devices and visits. This linkage is the prerequisite for effective customer journey mapping: only when anonymous visitors become identified customers can touchpoints be meaningfully attributed and optimized. Social login accelerates this identification because it bundles sign-in and data capture in one step.
In a post-cookie world, the logged-in customer account is the most reliable data source. It delivers consent-based first-party data across devices and turns anonymous visitors into identified customers. Combine low-friction registration (guest checkout, passkeys, social login) with progressive profiling to build this data foundation step by step and GDPR-compliant - without burdening the first purchase.
The strategic gain is twofold: short-term higher conversion through low-friction registration, long-term more valuable customer relationships through a growing, consent-based data foundation. Together, both make the customer account one of the most effective levers in modern e-commerce - provided it is designed as an offer and not as a hurdle.
Treating Registration as a Growth Lever
The data is clear: forced accounts cost conversion (19% abandonment per Baymard), while low-friction options increase it - passkeys by 30% (FIDO Alliance), social login the registration rate by up to 50% (LoginRadius). At the same time, registered customers are more valuable: they spend 67% more than new ones (eDesk), and even a 5% higher retention rate can increase profits by 25 to 95% (Bain & Company), with rising repeat-purchase probability of 45% and 54% after the second and third purchase (RJMetrics).
The strategy that combines both is clear: guest checkout as a visible default for the frictionless first purchase, passkeys and social login as convenient access methods, progressive profiling for step-by-step data building, and clearly communicated account benefits to turn first-time buyers into regulars. Each of these building blocks works on its own; together they unfold a cumulative effect on conversion and customer value - an approach our e-commerce consulting accompanies holistically.
Those who rethink customer accounts today - away from obligation, toward an offer - win on two fronts: more completed first purchases and more returning customers with higher lifetime value. As an e-commerce agency with a conversion focus, we help you design registration, checkout, and account benefits so they measurably generate more revenue - from the technical implementation to data-driven optimization.
This article is based on data from: Baymard Institute (cart abandonment, forced accounts, form fields), FIDO Alliance (passkey conversion, sign-in time, adoption), LoginRadius (social login adoption and registration rate), HubSpot Research (form fields and conversion), Aritic (progressive profiling), Shopify (returning-customer conversion rates), RJMetrics (repeat-purchase probability), eDesk (existing-customer spending), Bain & Company (retention and profit effect). The figures cited may vary depending on industry, assortment, and implementation.
Frequently Asked Questions on Customer Accounts and Registration
Typically yes. 19% of purchase abandonments stem from forced account creation (Baymard). A prominently placed guest checkout lowers this barrier and can recover a substantial share of otherwise lost carts. Account creation can then be offered optionally on the order confirmation without burdening the purchase.
In our experience yes, especially for repeat customers. According to the FIDO Alliance, passkeys boost the conversion success rate by 30% and shorten sign-in time from 27.5 to 13.6 seconds (FIDO Alliance). Since 69% of users already own at least one passkey (FIDO Alliance), acceptance is high. A fallback such as an email magic link is important. Read more in our article on passwordless authentication.
Progressive profiling means capturing customer data step by step across several visits instead of all at once in the first form. Since the conversion rate drops by an average of 7% per additional required field (HubSpot Research), this approach keeps the entry barrier low and can increase the conversion rate by up to 20% (Aritic). Each data collection should be tied to a concrete benefit.
As few as possible. The average checkout contains 14.88 fields but can be reduced to 7 to 8 fields (Baymard). For the first purchase, email, delivery address, and payment details suffice. Further data can be added later via progressive profiling. Autocomplete for city and region reduces input even more.
Because they buy more often and spend more. Returning customers convert at 3.5-4.5% versus 2.5% for new customers (Shopify), existing customers spend around 67% more than new ones (eDesk), and repeat-purchase probability rises to 45% and 54% after the second and third purchase (RJMetrics). Even a 5% higher retention rate can increase profits by 25 to 95% (Bain & Company). The account eases the next purchase and thereby drives customer lifetime value.
Yes, with the right implementation. Social login requires clear consent and transparent information about which data is transmitted. Done correctly, 77% of users consider social login a good solution (LoginRadius), and the registration rate can rise by up to 50% (LoginRadius). It should always be offered as an option alongside classic sign-in and guest checkout, not as the only path.