What is a good conversion rate? There is no openly accessible, methodologically transparent survey for German e-commerce – but there is solid framing data: 70% of people aged 16 to 74 in Germany ordered online in the past three months (Federal Statistical Office). Experience shows that a large share of purchase intent is only lost in the cart and at checkout. For online shop operators that means: your own trend and the drop-off points measured in your own shop are a more reliable compass than someone else’s average.
What Is a Good Conversion Rate?
Plenty of figures circulate for conversion rates by industry, yet none of them comes from an open, verifiable survey of the German market. The framing data, by contrast, is solid: 86% of people aged 16 to 74 have shopped online at least once, 70% did so in the past three months (Federal Statistical Office). To put your own rate in context you therefore need a different reference point than someone else’s average.
The most useful benchmark is your own trend: the same measurement, the same counting method, the same period last year. Only then can you say whether a measure worked. Professional consulting helps you set up that measurement cleanly and rule out apparent progress.
What matters is not the absolute value, but continuous improvement relative to your own starting point. Two shops with the same rate can perform very differently if assortment, price level and customer base diverge.
Why Someone Else’s Industry Figures Rarely Hold
A comparison figure is only as good as its origin. The following figures are publicly verifiable – each with survey, date and source:
| Figure | Value | Survey and date |
|---|---|---|
| Have ever shopped online | 86% | Federal Statistical Office, ICT survey 2025 |
| Ordered online in the past three months | 70% | Federal Statistical Office, ICT survey 2025 |
| Online payment services as a share of online payments | 50% | Deutsche Bundesbank, payment behavior in Germany 2025 |
| Direct debits and credit transfers as a share of online payments | 30% | Deutsche Bundesbank, payment behavior in Germany 2025 |
| Credit cards as a share of online payments | 15% | Deutsche Bundesbank, payment behavior in Germany 2025 |
| Direct debits and credit transfers as a share of e-commerce revenue | 45% | Deutsche Bundesbank, payment behavior in Germany 2025 |
What is missing from this table is missing on purpose: conversion rates by industry, device or channel are not available for Germany in any openly accessible survey. Those who quote such values usually analyze their own customer base. For e-commerce strategies they serve as rough orientation, not as a target.
Setting Up Your Own Measurement Properly
Before any comparison makes sense, your own figure has to be right. Three definitions decide whether two measurements are comparable: what counts as a conversion, what counts as a session and which period is considered. All three should be written down before the first analysis:
What counts as a conversion
Order, enquiry or registration: count each target separately and record the step at which it counts as reached
What counts as a session
Document bot filters, internal traffic and consent – otherwise the denominator shifts without any change in visitor behavior
Which period applies
Compare the same period last year so that seasons, holidays and promotions do not distort the rate
Only once these definitions are documented can a change be attributed to a measure. Without them, an adjusted bot filter alone shifts the rate by tenths of a percentage point – and the cause stays hidden. Mobile-first optimization and fast load times are levers whose effect you can only prove with a stable measurement.
In the B2B sector an order often does not end in the shop: approval workflows, quote requests and framework agreements lead to deals that never trigger a shop order. A conversion rate that only counts completed carts then understates the business. For B2B shops every enquiry therefore belongs in the measurement as a target of its own.
Payment Methods in German E-Commerce
Which payment methods customers in Germany actually use online is surveyed regularly by the Deutsche Bundesbank using a payment diary. Online payment services lead with 50% of payment transactions, followed by direct debits and credit transfers at 30% and credit cards at 15% (Deutsche Bundesbank).
Within online payment services the distribution is narrower than the number of providers suggests: around 86% market share goes to the market leader, with the next largest provider following at 7% by transactions (Deutsche Bundesbank). Debit cards still play a small role in e-commerce (4%).
By revenue the picture shifts: direct debits and credit transfers account for 45% of e-commerce revenue (Deutsche Bundesbank). Anyone looking only at the number of transactions underestimates how much weight the classic methods carry for large baskets. Adding payment interfaces should follow the basket sizes that actually occur in your shop.
A method can carry many small payments and still tie up little revenue – or the other way round. The Bundesbank reports both views separately: by revenue, online payment services lose 7 percentage points against their share of transactions (Deutsche Bundesbank). Ranking payment methods by revenue produces a different order than ranking them by transactions.
Cart Abandonment: Where Revenue Is Lost
A large share of abandonment typically happens between cart and completed order. Not every abandoned cart is a lost sale: some visitors use the cart as a wish list or to compare prices and are not ready to buy yet. Your own data shows how high the abandonment rate is in your shop. The other reasons – those beyond a lack of purchase intent – are the ones you can do something about.
Common abandonment reasons show where checkout optimization should focus:
- Forced account creation instead of guest checkout
- Checkout too long or too complicated plus errors and crashes
- Extra costs for shipping, taxes or fees that come on top of the item price
- Total cost not visible up front and too few payment methods
- Delivery too slow or an unclear delivery date
- Distrust over credit card details when the shop does not come across as trustworthy
How much a reworked checkout delivers in your own shop cannot be read from someone else’s figure. Only a before-and-after comparison using the same measurement holds up: it shows whether a change has actually reduced abandonment.
Load Time and Checkout as Levers
Two levers can be documented without detouring through someone else’s comparison figures and measured in your own shop: load time and the length of the checkout.
Load time: Google names fixed targets for the Core Web Vitals – LCP within 2.5 seconds, INP under 200 milliseconds and CLS under 0.1 (Google Search Central). These values are among the signals Google uses for page experience and, unlike external conversion comparisons, can be measured yourself at any time. For shop operators that means: PageSpeed optimization and high-performance hosting act on a quantity you control.
In practice, many checkouts ask for more than order, delivery and invoicing require – a salutation, a phone number without a purpose or a mandatory account. Your own order processing shows which fields are actually needed. Every field removed is one less place where a purchase breaks off.
Payment methods: The documented order in German e-commerce – online payment services, direct debit and credit transfer, credit card – should be reflected in the shop (Deutsche Bundesbank). If the method someone is used to is missing, abandonment is often all that is left – too few payment methods are among the typical reasons for abandoning a purchase.
Load time, checkout length and payment methods share one property: they are measurable and changeable in your own shop. That makes them superior to comparison figures that cannot be recalculated. An improvement you measured yourself before and after is documented – one that relies on someone else’s average is not.
This article draws on: Deutsche Bundesbank (payment behavior in Germany 2025), the Federal Statistical Office (ICT survey of private households) and Google Search Central (Core Web Vitals). Every figure quoted is backed by survey, date and source.
Frequently Asked Questions
There is no openly accessible, verifiable survey of conversion rates by industry for German e-commerce. What holds up is the comparison with your own period last year using the same counting method. As framing data: 70% of people aged 16 to 74 ordered online in the past three months (Federal Statistical Office).
There is no openly accessible, methodologically transparent average for German e-commerce. Experience shows that a large share of abandonment happens at checkout, and not every abandoned cart is a lost sale: some visitors only use the cart as a wish list. Your own funnel analysis from cart to order confirmation shows how high the rate is in your shop.
As short as order, delivery and invoicing allow: every additional field is one more place where a purchase can break off. Guest checkout and a delivery address preset as the billing address shorten the process. Whether a cut works is shown by a before-and-after comparison in your own shop.
Online payment services carry 50% of online payment transactions, direct debits and credit transfers 30%, credit cards 15% (Deutsche Bundesbank). Within online payment services the market leader holds around 86% market share (Deutsche Bundesbank).
Google names as targets an LCP within 2.5 seconds, an INP under 200 milliseconds and a CLS under 0.1 (Google Search Central). These values can be measured in your own shop at any time, which makes them a more usable target than external conversion comparisons.
That depends on the starting point of the individual shop; there is no transferable figure. What holds up is a before-and-after comparison using the same measurement: only that shows how much a change in your own checkout actually delivers.