Website owners who invest sub­stan­tial resources into search engine op­ti­miza­tion – both in terms of time and money – typically don’t have to wait too long to see the fruits of their labor: as their site inches further up the search engine result page (SERP) they also begin to notice an increased number of visitors. But what should be done when, despite all these efforts, turnover simply fails to ma­te­ri­al­ize? Racking up large visitor counts doesn’t nec­es­sar­i­ly mean that orders, downloads, or requests will rise as well. Only when visitors also become active and register for the newslet­ter on offer, put items in the shopping cart, or fill out a contact form, does the web project bring in the desired profits or leads. These are known as con­ver­sions, whose op­ti­miza­tion and analysis ranks among the most important tasks for many online marketers.

The main objective is to measure the re­la­tion­ship between traffic and con­ver­sions – expressed as a value in the con­ver­sion rate – long term using web analysis tools such as Google Analytics and to con­tin­u­ous­ly improve it by carrying out targeted im­prove­ments on usability, content, layout, and so on. What exactly are the different steps and methods of con­ver­sion rate op­ti­miza­tion?

De­f­i­n­i­tion: Con­ver­sion rate op­ti­miza­tion (CRO)

Con­ver­sion rate op­ti­miza­tion (CRO) is one of the most important sub-dis­ci­plines of online marketing. It is primarily concerned with observing, analyzing, and improving the con­ver­sion rate, which serves as one of many KPIs (Key Per­for­mance In­di­ca­tors) for measuring the success of web projects - es­pe­cial­ly in e-commerce. The aim of con­ver­sion rate op­ti­miza­tion is to increase sales by adapting a wide variety of com­po­nents such as usability, layout, or content.

This is why con­ver­sion rate op­ti­miza­tion is so important for online success

Ad­ver­tis­ing on the world wide web is a lucrative and valued source of income, but for many website operators it is only a secondary source of income. Today, a large number of websites are linked to business interests, which put the sale of products and services or sub­scrip­tions first. Even getting users to sign up for newslet­ters is often more important than selling ad­ver­tis­ing space.

Note

The con­ver­sion rate is given as a per­cent­age and is cal­cu­lat­ed as follows:

Con­ver­sion rate (%) = number of con­ver­sions x 100 / number of website visitors

Re­gard­less of which con­ver­sion target you are pursuing with the re­spec­tive project, it is of course important to know how many users you reach on average. An online store with 100,000 visitors per month naturally promises greater sales success than a web store that is visited by only 10,000 potential customers in the same period. However, if the latter store manages to motivate users to make a purchase, the supposed advantage of the traffic-intensive online business (which is in­evitably linked to a higher resource re­quire­ment) doesn’t exist. The same applies to elab­o­rate­ly conceived newslet­ter campaigns, high-quality whitepa­pers and the like – the desired success can only be achieved with a healthy con­ver­sion rate.

The potential of con­ver­sion rate op­ti­miza­tion becomes clear when you have a concrete example in front of you. For example, the basic data for an exemplary online store before and after op­ti­miz­ing the rate by 1% looks like this:

In this example, op­ti­miz­ing the con­ver­sion rate by just one percent leads to a profit increase of $20,000 per month or $240,000 per year.
Before con­ver­sion rate op­ti­miza­tion After con­ver­sion rate op­ti­miza­tion
Unique visitors per month 100,000 100
Con­ver­sion rate 2% 3%
Orders 2,000 3,000
Shopping cart value per order $ 100 $ 100
Sales $ 200,000 $ 300,000
Margin 20% 20%
Profit $ 40,000 $ 60,000

The basic foun­da­tions of con­ver­sion rate op­ti­miza­tion

Since web projects differ greatly in their structure and ap­pear­ance, it is not possible to formulate a uni­ver­sal­ly valid solution for con­ver­sion rate op­ti­miza­tion. While one website may require op­ti­miza­tion when it comes to the nav­i­ga­tion, another may lack concrete in­struc­tions (call-to-actions) that convert users into buyers, sub­scribers, and so on. With a third web presence, the first com­po­nents are solved, but the buttons for the con­ver­sion target are not well placed. It is therefore important to decide in­di­vid­u­al­ly which parts of the web project need to be optimized in order to actually improve the con­ver­sion rate. If this is not the case, the worst-case scenario is that well-func­tion­ing elements are reworked and more problems therefore occur.

In order to achieve sat­is­fac­to­ry results for your own project, it makes sense to base the con­ver­sion rate op­ti­miza­tion process on the following five basic com­po­nents:

1. Analysis of the status quo

  • What is the business objective of con­ver­sion rate op­ti­miza­tion?
  • Which website elements are relevant for the desired con­ver­sion(s)?
  • What are the visitors’ ex­pec­ta­tions and motives?
  • What is the users’ bounce rate and when do they leave the site?

2. Hy­poth­e­sis and planning of con­ver­sion rate op­ti­miza­tion

  • Where are there weak­ness­es in the con­ver­sion process?
  • What effects do the weak­ness­es have on visitor pur­chas­ing mo­ti­va­tion?
  • How can user in­ter­ac­tion be improved?
  • Design a plan for con­ver­sion rate op­ti­miza­tion

3. Designing and creating al­ter­na­tives

  • Im­ple­men­ta­tion of al­ter­na­tive pages, in­ter­ac­tive elements, designs, or contents
  • Simple adap­ta­tions and complete redesigns are possible
  • Live version remains unchanged in the meantime (op­ti­miza­tions have to be im­ple­ment­ed sep­a­rate­ly).

4. Testing the optimized com­po­nents

  • In which period of time should the test be carried out? (the longer, the more accurate the data is)
  • Im­ple­men­ta­tion of the desired test com­po­nents according to different pro­ce­dures such as A/B testing or mul­ti­vari­ate testing
  • Observing the ongoing tests using specific software or analysis tools such as Google Analytics or Matomo
  • In­ter­pret­ing the test data and selecting the most promising variant(s) for con­ver­sion rate op­ti­miza­tion 

5. Rolling out

  • Trans­fer­ring optimized com­po­nents to the live version.
  • Observing the per­for­mance of new variants in order to return to the original version if necessary (in case of technical problems or the con­ver­sion rate decreases)
  • Doc­u­ment­ing the acquired knowledge  
  • Using the acquired data via the func­tion­al­i­ty of your own web project for future con­ver­sion rate op­ti­miza­tion.

Which con­ver­sion rate op­ti­miza­tion methods are available?

Depending on the type of web project, there are different aspects that help con­ver­sion success or hinder it. Func­tion­al prop­er­ties can also have an influence on user actions as well as content: visual or struc­tur­al. We have compiled the most important methods for op­ti­miz­ing the con­ver­sion rate, which can be used either on their own or in a network to achieve the desired progress.

Shopping cart op­ti­miza­tion

Shopping cart op­ti­miza­tion is used ex­clu­sive­ly in e-commerce. The aim is for a purchase to be completed, but the decisive factor is when a user moves an item to the shopping cart. If only a few users make use of the shopping cart option, this is just as much a reason for op­ti­miza­tion as a high bounce rate among users who had already selected goods to buy, but then clicked off the site. This may be due to the ordering process being too com­pli­cat­ed, missing payment options, or a lack of trust. Possible measures include the following, for example:

  • In­stalling trust elements (e.g. Trusted Shops)
  • Offer ad­di­tion­al payment options (PayPal, credit card, direct debit etc.)
  • Sim­pli­fy­ing the ordering process e.g. by allowing visitors to order without needing to register
  • Pop-up reminders if items have been in the shopping cart for a long time and haven’t been purchased  

Usability op­ti­miza­tion

User-friend­li­ness, also known as usability, is not only one of the most important criteria for the search engine ranking, but is also in­valu­able for the con­ver­sion rate. It doesn’t matter if the web project is an online store, a news portal, or a company website. In short, usability is about how in­tu­itive­ly a visitor can navigate through the website and collect in­for­ma­tion. The page structure, the website hierarchy, and the in­ter­ac­tive elements used should therefore be checked for weak areas in the con­ver­sion rate op­ti­miza­tion.

The more har­mo­nious the in­di­vid­ual com­po­nents of a website are co­or­di­nat­ed with each other, the more likely it is for the desired con­ver­sions to be achieved. Core com­po­nents that should be checked during the usability analysis, for example, are:

  • The nav­i­ga­tion menu, which presents the different subject areas of the website to visitors and links them together.
  • In­ter­ac­tive elements such as buttons, forms etc., which the visitor must click on or fill out in the con­ver­sion process
  • The leg­i­bil­i­ty of the embedded texts and text elements (emphasis, contrast, style, etc.)
  • The internal search function

Content op­ti­miza­tion

A page’s content also has op­ti­miza­tion potential. This starts with the content design of the snippets (meta tags): of course, it is easy to lure the user to your website with keywords such as 'free' or 'bargain' via Google results. However, this creates ex­pec­ta­tions that must be fulfilled. Otherwise, the user is quickly gone again and a con­ver­sion is further out of reach.

The quality of a website’s content is very important. High-quality content that meets the visitors’ ex­pec­ta­tions promises the greatest prospects for con­ver­sions. It makes sense to use different types of content (text, images, videos, etc.) in order to offer visitors the optimum degree of variety. A special role is also played by the pre­vi­ous­ly mentioned call-to-actions, whose for­mu­la­tion and skillful placement are also among the most important tasks in con­ver­sion rate op­ti­miza­tion. Examples of promising content op­ti­miza­tion measures are:

  • Im­ple­ment­ing per­son­al­ized content linked to user behavior e.g. product or article sug­ges­tions
  • Focus on well-balanced keyword density, es­pe­cial­ly in para­graphs that are of high relevance for the desired con­ver­sion
  • Including tutorial videos to help visitors explore the website and explain, for example, the ordering process or the internal search function
  • Using design elements such as headings, bold font, or lists to loosen up the text

Layout and design op­ti­miza­tion

A website‘s ap­pear­ance is just as important as its content and user-friend­li­ness. Layout and design have a proven influence on the behavior of users and should not be over­looked when it comes to con­ver­sion rate op­ti­miza­tion. In this context, so-called neu­ro­mar­ket­ing, which deals with the decision-making process and pur­chas­ing decisions in the human brain, has become in­creas­ing­ly important in recent years. Whether it’s about dis­tri­b­u­tion and placement or coloring certain elements, optical ad­just­ments can help optimize the amount of con­ver­sions.

Overview of the possible op­ti­miza­tion steps for layout and design:

  • Test different color samples
  • Provide several se­lec­table designs for the web project
  • Change design depending on season i.e. Christmas time

Mobile op­ti­miza­tion

Since a large part of today’s internet traffic orig­i­nates from mobile devices, con­ver­sion rate op­ti­miza­tion is the same as for search engine op­ti­miza­tion: how the website is displayed on the mobile device should receive as much attention as the desktop coun­ter­part. Mobile op­ti­miza­tion combines all methods presented so far, from shopping cart op­ti­miza­tion to usability, content, and layout/design op­ti­miza­tion.

Basically, there is no need to dis­tin­guish between desktop and mobile versions, but this is often rec­om­mend­ed. Par­tic­u­lar­ly when it comes to using in­ter­ac­tive and mul­ti­me­dia elements, you shouldn’t forget that mobile device users often access websites when they’re on the go and therefore have a limited bandwidth. A short, quickly-loadable website code is therefore much more important for mobile versions than desktop versions. The following measures for op­ti­miza­tion are therefore possible:

  • Com­pro­mis­ing images including adapting to smaller displays
  • Limiting the amount of mul­ti­me­dia elements
  • Out­sourc­ing CSS and JavaScript code (com­pressed) into separate files
  • De­vel­op­ing mobile apps that display the web service precisely to the re­spec­tive mobile devices
  • Using Ac­ce­larat­ed Mobile Pages (AMP), provided that they are suitable for the web project.

Con­ver­sion rate op­ti­miza­tion in the SEA sector

Con­ver­sion rate op­ti­miza­tion also plays an important role in search engine ad­ver­tis­ing (SEA) because if you place an ad on Google or other search engines, you obviously want people to click on it. Op­ti­miz­ing these ad­ver­tis­ing banners def­i­nite­ly pays off since you can win visitors over to your own web project, who will then hopefully provide desired con­ver­sions later on. On the one hand, the aim is to make the ad as in­ter­est­ing and emotional as possible without false ex­pec­ta­tions. On the other hand, it is important to find suitable place­ments in the display network and choose them as desired ad­ver­tis­ing locations for your own campaign. Here are some possible steps for op­ti­miza­tion:

  • Redesign of the used ad­ver­tis­ing texts
  • Mod­i­fi­ca­tion of the active bidding strategy (re­dis­tri­b­u­tion of the available campaign budget)
  • In­di­vid­ual selection of ad­ver­tis­ing place­ments instead of the automatic dis­tri­b­u­tion by the re­spec­tive search engine
  • Optimize SEA ads es­pe­cial­ly for the main con­ver­sion(s), such as high-selling products
Note

The con­ver­sion rate op­ti­miza­tion should be seen as a con­tin­u­ous im­prove­ment process that ends only when the project is no longer online. On the one hand, in­di­vid­ual op­ti­miza­tions lose their effect over time, on the other hand there are elements that can have a positive effect on the con­ver­sion rate if they are reworked. These do not nec­es­sar­i­ly have to be website com­po­nents: factors such as print and TV ad­ver­tis­ing, the quality of products and services offered, image, and other marketing measures such as social media work also con­tribute to con­ver­sions and con­ver­sion rate op­ti­miza­tion.

Go to Main Menu