Bounce Commerce generates 10.3 million euros in sales in 2022

Bounce Commerce, one of the leading providers of AI-based Bounce Management and product recommendations, draws a positive balance for the 2022 financial year.

Through the further development of AI technology and strong new customer business in Germany, Austria, Switzerland, France, England, Italy and the Netherlands, Bounce Commerce was able to generate a total of 10.3 million euros in sales for its advertisers in 2022.

A total of 156,300 sales were generated, as well as 5.72 million visitors. The mobile share of sales averaged 66%.

A total of 1.4 billion page impressions were processed with 390 million user sessions. In addition, 175 million bounces were processed, resulting in 39 million visitor redirects. For the AI, 4.8 million products were processed in the database and 342 million product attributes served as the basis for the AI product suggestions.

The Bounce Commerce team also grew to 15 employees, consisting of an international team in account management, technology, design and sales.

In addition, further customers were acquired in 2022, including s.Oliver, Kidsroom, Westfalia, Nici, Ulla Popken, Hertha BSC and other well-known advertisers.

Bounce Commerce also won the Performixx Award for the first time in 2022 in the "Best Technology" category, as well as the Awin Award in the "Best Innovation" category together with advertiser Mediashop and agency xpose360.

Factsheets for the 2022 financial year:

• 180 active advertisers
• 7 countries
• 15 employees
• 10.3 million euros in generated sales
• 156,300 generated sales
• 5.72 million referred visitors
• Average mobile share: 66%
• 1.4 billion processed page impressions
• 390 million processed user sessions
• 175 million processed bounces
• Average bounce rate: 45%
• 39 million redirects performed
• 4.8 million products in the AI database
• 342 million product attributes as the basis for AI product suggestions
• 14 supported advertising networks

Founder and Managing Director Torsten Zühlsdorff of Bounce Commerce: "The past year has shown that with our AI technology, we were able to generate a large share of revenue for our customers that would otherwise have gone to competitors. Our continuous growth shows that AI product recommendations have become an important tool in e-commerce and that we can help our advertisers suggest product recommendations to their customers and thereby offer them a smart shopping experience. For 2023, we are therefore planning further product innovations and extensions."

Co-Founder Markus Kellermann: "We are very proud that, as a 100% remote company with a powerful team of great colleagues, we had such a successful year. From a technological perspective, Bounce Commerce will further expand its leading role as AI technology for product recommendations in 2023 and offer many more e-commerce companies solutions that turn visitors into customers through intelligent buying incentives and create an individual shopping experience for the right target group."

Artificial intelligence will be one of the central topics of digitalization in 2023. No industry, department or decision-maker can avoid the possibilities of AI and machine learning. AI is also becoming increasingly established in e-commerce, because online marketing is no longer just an attempt to sell a product to a mass of people. In the future, it will be much more about building a deep understanding of people's needs through data and then reaching the customer at the right moment through individual customer engagement. The challenge is to understand and anticipate each individual customer's purchase process well enough to determine that moment.

Bounce Commerce has specialized precisely in this with its AI-based technology and now offers 180 companies such as EMP, Palmers, Quelle, Baur, momox, Babywalz, Herrenausstatter.de, Mediashop, Kfzteile24, s.Oliver and many more individual solutions for personalized customer engagement.

According to a DPD study, a total of 62% of customers have abandoned the purchase process sometimes (39%), often (16%) or very often (7%). Initial case studies show that with Bounce Commerce, up to 30% of visitors who would leave an online shop because they did not find the right product can be re-engaged with AI-based product recommendations, increasing conversions by up to 10%. In individual online shops such as for you eHealth, the share of new customers was even more than 49.5%.

This is made possible by AI technology, which uses machine learning based on CF-based recommendations, matrix factorization, nearest neighbor methods and association rules to continuously understand users better and recommend suitable products based on user behavior and neural networks.

Fittkau & Maaß Consulting recently surveyed 120,000 internet users about their attitude toward personal product recommendations. 60.2% of respondents said they were neutral toward the topic and 15.4% were positive. For this reason, personalized product offers based on artificial intelligence should be represented everywhere in e-commerce in the future, because they are one of the most important e-commerce trends of the future. It is especially important to pay attention to the right applications, because outdated and unsuitable products are not well received by customers. Used correctly, however, product recommendations can lead to a personalized customer journey and thus contribute to an improved customer experience.

Management team photo Torsten Zühlsdorff (Founder) and Markus Kellermann (Co-Founder) of Bounce Commerce GmbH

About Bounce Commerce GmbH

Bounce Commerce GmbH is a technology provider for AI-based Bounce Management, product recommendations and customer retention. The founders' goal is to offer a smart solution that enables shop operators to turn visitors into customers with intelligent buying incentives. To advise customers as effectively as possible, AI-based recommendation technology presents products according to search behavior and product preferences. The AI operates based on CF-based recommendations, matrix factorization, nearest neighbor methods and association rules. Through machine learning, the AI continuously learns to understand users better and recommends suitable products based on user behavior and neural networks.

More than 180 well-known retailers and manufacturers such as EMP, s.Oliver, Westfalia, Palmers, Quelle, Baur, momox, Babywalz, Herrenausstatter.de, Ulla Popken, Westfalia, Kfzteile24 and many more already trust Bounce Commerce's AI technology.

Photo by Anna Nekrashevich