Tech Insights

How SteerFox connects product range management with E-commerce customer acquisition

Successful e-commerce customer acquisition is no longer just about advertising budgets. It also depends on managing the right product range. SteerFox helps retailers improve sales by connecting product margins, catalogue data and stock availability with the needs of each advertising channel. Here's how the platform uses product data to support business growth.
How SteerFox connects product range management with  E-commerce customer acquisition
Xavier Lernould
Xavier Lernould
CEO Novity
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I spent around ten years as a CTO for software companies specialising in retail and audience analytics. This gave me first-hand experience of the challenges of retail data. Managing data flows, analysing competitors and improving product visibility are ongoing technical challenges for retailers. I recently discussed these issues with Christopher Caussin, CEO of SteerFox.
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SteerFox works with e-commerce businesses generating between €5 million and €250 million in annual revenue. Its platform helps brands decide what to sell, where to sell it and when.
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To achieve this, SteerFox combines the services of a search engine advertising (SEA) agency with its own software platform. It uses product catalogue data to automate advertising campaigns. This approach is particularly useful for retailers with large product catalogues. When thousands of products are involved, making decisions manually becomes difficult.
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The goal is not simply to display more adverts. It is to improve product information and help retailers choose which products to promote.

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Manage your product catalogue before investing in advertising

Successful e-commerce advertising starts with choosing the right products to promote. A large catalogue usually contains products with very different profit margins.

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Align advertising campaigns with logistics

Christopher Caussin shared the example of Sono Vente, an established audio equipment retailer. By analysing its data, SteerFox found an interesting pattern. Some cables shipped quickly on Thursdays were often returned the following Monday.
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Returns are a direct cost for e-commerce businesses. They affect the actual profit made on each sale. By including return rates in product analysis, retailers can avoid spending advertising budgets on products that generate little profit. This helps protect overall margins.

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Use marketing budgets where they add value

The approach is similar to managing supermarket shelves. Popular products are placed at eye level, while lower-priced products are displayed further down. Online, the same principle applies to advertising. For example, paying to promote a product worth just €0.10 may not make financial sense. The cost of acquiring a customer could exceed the profit from the sale.
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SteerFox analyses product catalogues to focus advertising budgets on products that create value. The same logic applies to technical brands such as Cimalp, one of SteerFox's clients. A pair of socks should not be promoted through the same channels as a specialist mountaineering jacket. Each product has a different role in the range. Advertising decisions should reflect that difference.

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Managing multiple E-commerce advertising channels

Today, e-commerce brands need to reach customers across several platforms. SteerFox integrates with more than eight advertising channels to support different buying behaviours.

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Adapt to different customer buying journeys

The digital advertising market is changing quickly. Meta now generates more advertising revenue than Google in some segments. TikTok attracts specific audiences, while Amazon plays a major role in product searches.
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For retailers, managing these channels involves more than improving advert performance. They also need to understand customer behaviour. A low-cost everyday product may be purchased on impulse after someone sees it on social media.
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A hiking product or technical device usually involves more research and a longer buying journey. SteerFox uses data to understand customer intent based on the channel they use. Brands can then adjust their messages, explain their expertise and choose the most relevant sales channels.

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Keep up with advertising platform requirements

Advertising platforms are introducing increasingly detailed requirements for product data. For example, Google may require gender attributes for certain product categories to improve targeting.
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Conversational AI systems from companies such as OpenAI also rely on structured product information to make relevant recommendations. Retailers must therefore keep improving the quality and detail of their product catalogues.
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SteerFox's teams receive ongoing training to understand these changes. This helps them guide clients through new technical requirements and make better decisions about their product data.

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Why data infrastructure matters for E-commerce performance

Automated advertising depends on reliable data. If the information entering a system is inaccurate, automation can repeat those mistakes across thousands of products.

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Structure product data to improve results

Before launching a campaign, SteerFox brings together several types of product information. These include actual profit margins, stock replenishment capacity and the impact of seasonal discounts on sales volumes.
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The data comes from e-commerce websites, marketplaces and physical shops. It is then organised into database tables that support the platform's decision-making systems.
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Building this data foundation is essential. In our software engineering work, we regularly design complex web architectures for retail businesses. A well-structured database is always a starting point for building reliable software that performs well in production.

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How automation is changing engineering and marketing roles

Advertising automation is changing how teams work. Manual campaign tasks are becoming less common. Instead, teams spend more time managing data, analysing performance and defining campaign rules.
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Technical and marketing specialists now need to understand how advertising algorithms work. These systems change frequently, so continuous training is important. SteerFox faces this challenge, as do many other software companies.
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Automation does not remove the need for expertise. It changes the skills businesses need. Professionals must understand new technologies and use that knowledge to guide retailers' decisions. To maintain this expertise without slowing product development, many technology leaders work with external engineering partners.
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They may build dedicated external engineering teams or bring in product and data specialists for specific technologies. This helps B2B software companies maintain reliable development cycles while staying focused on their core business.
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Ultimately, e-commerce advertising and product range management depend on the same foundation: data. By bringing together stock availability, margins and catalogue information, retailers can make better advertising decisions and gain more control over their profitability.

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Company spotlight

→ Company: SteerFox
→ Leadership: Christopher Caussin, CEO.
→ Industry: Software / SaaS / Retail Media / Data Marketing / E-commerce
→ Why SteerFox stands out : SteerFox connects product range management with advertising investment. Rather than treating advertising as a separate activity, the company helps retailers organise their product data before launching campaigns. This means advertising budgets can be directed towards products that support overall profitability.

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Frequently asked questions

How does product catalogue data quality affect E-commerce customer acquisition?

Advertising algorithms rely on the data they receive. If a product catalogue contains outdated stock information or ignores return rates, advertising tools may spend money promoting products with low profit margins. Reliable data pipelines help prevent these problems. At Novity, our Data and AI team helps clients improve data quality and build structured, reliable data flows across their software systems.

What are the main technical challenges of connecting multiple advertising platforms?

Each advertising platform, including Google, Meta, TikTok and Amazon, has its own APIs and data requirements. A modern software architecture should use a modular design, with separate connectors for each platform. This allows developers to update one integration without affecting the core application. It is an important principle when building reliable SaaS products.

Why has product catalogue enrichment become a technical challenge?

Advertising platforms regularly update their targeting requirements. They may need more detailed product attributes or technical specifications, especially for conversational AI systems. For retailers with thousands of products, updating this information manually takes too much time. Automated scripts and graph databases can help organise and enrich product information before it is shared with advertising platforms.

How is AI changing technical and marketing skills?

Advertising automation is changing the responsibilities of retail, distribution and AdTech teams. Manual tasks are decreasing. Data analysis and campaign rule management are becoming more important. Professionals need to understand how algorithms work so they can make informed decisions. Continuous training is essential as advertising platforms and AI tools evolve.

How can analytics platforms remain reliable when managing large data volumes?

Combining data from e-commerce websites, marketplaces and physical shops requires databases that can handle complex queries without slowing down. Choosing the right data model and improving query performance are important technical challenges. Novity regularly supports technology, product and data teams with these types of infrastructure projects.

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