You have the traffic but not the orders?
We will find where your e-shop is losing money

A website analysis is a key first step in the process of optimising an e-shop, because it provides valuable information about how visitors behave on your site, where they spend the most time and at which points they leave the site without making a purchase. This data allows you to identify the areas that need improvement, whether that is page loading speed, navigation, content quality or the efficiency of the conversion process. The analysis will also help you to understand which products are the most popular and which marketing strategies are the most effective, which will allow you to allocate your resources and advertising investment better.

Improving the user-friendliness of your e-shop can considerably increase your conversion rates and overall profitability. This includes simplifying navigation so that customers can easily find what they are looking for, optimising page loading speed and ensuring that your e-shop is fully responsive and easy to use on all devices, including mobile phones and tablets. It is also important to improve the visual aspects of your e-shop, including high-quality product photographs and a clear design for product pages. Providing clear, persuasive product descriptions together with customer reviews can also increase trust and support purchasing decisions.

Making effective use of SEO (search engine optimisation) is essential for increasing the organic traffic to your e-shop, which can significantly increase your profitability without having to raise your advertising spend. This involves optimising the titles, descriptions and content of your product pages with keywords that are relevant to your products and that your target group is likely to use when searching in internet search engines. It is also important to build quality backlinks from trustworthy sources and to create quality, relevant content that attracts visitors and encourages sharing.

Various marketing strategies have proved effective for increasing sales in an e-shop, including e-mail marketing, PPC advertising, content marketing and social media marketing. E-mail marketing is particularly effective for repeat sales and for maintaining relationships with existing customers through personalised offers and newsletters. PPC advertising allows you to target specific groups of customers with the advertisements that are most relevant to them, while content marketing helps to build your brand’s authority and attract visitors through useful, informative content. Social media marketing is key to increasing brand awareness and community engagement.

Increasing the average order value (AOV) is an effective strategy for increasing profitability without having to attract more visitors. This can be achieved through cross-selling and recommending complementary products that supplement the customer’s original purchase, or through upselling by offering more premium versions of products. Another strategy is to offer discounts on orders above a certain value or to create product bundles at a favourable price. These techniques not only increase the average order value, they also improve the customer experience by offering customers value.

Data analysis plays a key role in understanding your customers’ behaviour and optimising your marketing and sales strategies. By tracking and analysing data such as conversion rates, traffic sources, customer behaviour on the site and the effectiveness of advertising campaigns, you can identify what works and what needs improvement. This data allows you to adapt your marketing strategies and product offerings so that they better suit the needs and preferences of your customers, which leads to a higher conversion rate and increased profitability. Regular testing and optimisation based on data analysis are essential for maintaining competitiveness and growth in the dynamic e-commerce environment.

The differences between techniques for increasing the profitability of e-shops targeting end customers (B2C) and those aimed at business clients (B2B) are considerable and reflect the different needs, expectations and purchasing processes of these two groups.

In the case of B2C e-shops, the emphasis is on using advanced algorithms for product recommendations and personalised marketing communication that seeks to reach individual customers and increase the average order value. These methods are effective for increasing interest and stimulating impulse purchases. The B2C sector also often relies on emotional appeal and trend-driven marketing campaigns that are spread mainly through social media, influencer marketing and PPC advertising. Easy navigation, attractive visual presentation of products, a fast purchasing process and excellent customer support are also important, and are key to maintaining customer interest and satisfaction.

B2B e-shops, on the other hand, concentrate on building long-term relationships with business partners, which includes offering personalised contractual terms, volume discounts and individually customised products or services. Customers in the B2B segment require detailed technical specifications and information about product performance, so e-shops in this sector must provide extensive, detailed information. In addition, B2B e-shops must be designed to facilitate more complex purchasing processes that may include approval procedures and purchasing on account.

Although the technologies and strategies may overlap in both areas, such as the use of SEO and data analysis, the main difference lies in the approach and the focus on the specific needs of the target group. B2B focuses on value, long-term partnership and efficiency, whereas B2C prioritises instant gratification, emotional appeal and the customer experience.

As long as most people leave the e-shop because of the way it works, advertising is the most expensive route to revenue. First we calculate how many customers you are losing on the product page, at delivery and in the basket. Once we know the figures, we can compare the benefit of a fix with the benefit of another crown spent on campaigns – and decide accordingly, not on a hunch.

Yes, and it is one of the best uses. The model works with your catalogue and a template, turns parameters into readable text and can handle a volume there would otherwise be no time for. The prerequisites are good input data and checking a sample – for parameters where mistakes are not acceptable, such as dimensions or composition, we check everything.

Yes, provided measurement of the whole purchasing process, including mobile, is set up correctly. You can then see how many people move from the product page to the basket, how many to delivery and how many to payment. Most often the loss shows up at the delivery price, compulsory registration or a long form. Without figures it is only guesswork.