Case study

Swiss Marketplace Group

Company

Industry

Digital Marketplaces

Use Cases

Onboarding

Account Takeover Prevention

Activity Monitoring

About SMG Swiss Marketplace Group 

SMG Swiss Marketplace Group is a pioneering network of online marketplaces and cutting edge digital companies that simplifies people’s lives with innovative products. SMG Swiss Marketplace Group provides its customers with the ideal tools for their life choices. The portfolio includes Real Estate (ImmoScout24, Homegate, Flatfox, Immostreet.ch, alle-immobilien.ch, home.ch, Publimmo, Acheter-Louer.ch, CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (anibis.ch, tutti.ch, Ricardo), and Finance and Insurance (FinanceScout24, moneyland.ch).

Overview

Over a few years, Swiss Marketplace Group transformed trust and safety operations across its entire portfolio – from manual, reactive processes into an automated, risk-based strategy that scales very well.

SMG deals with fraud challenges including fake listings, fraudulent registrations, and account takeovers. In the very early stages, multiple tools were used to collect intelligence, and some work was manual –  reviewing logs, applying rules, and correlating signals across multiple systems. The strategy was clear, to automate to be able to scale.

And to scale efficiently and independently from product development, SMG adopted SEON. Today, SEON is a component of SMG’s adaptive, risk-based fraud detection and prevention strategy.

  • A self-developed tool was used in fraud detection & prevention
  • Limited user, client, device, and network intelligence
  • The approach was more reactive than proactive
  • Efficient and effective threat hunting
  • Centralized data enrichment and intelligence in one platform
  • 900+ real-time data signals including device and network insights
  • Automated decisioning for routine cases

The Challenge

Before SEON, manual reviews and basic rules were more common, and there was a lack of enriched signals of client, network, etc., as well as device context. Analysts had to:

  • Search multiple systems for indicators
  • Correlate fragmented logs
  • Use multiple tools for client and network intelligence
  • Rebuild case histories

As per the strategy, SMG needed automation and richer data to be able to scale, and without exploding operational costs.

The Strategy

SMG built a risk-based approach that emphasizes:

  • Data enrichment: Adding deeper signals such as device and network data
  • Risk scoring: Moving beyond yes/no decisions into graded risk
  • Automation: Letting the system make routine decisions and alert only when human review is needed
  • Sustainable operations: Ensuring analysts spend time on high-impact work, not repetitive tasks

“Efficient security is sustainable security.”

Mostafa Hassanin, Group CISO/CSO

SEON became central to this strategy by enriching event data, generating risk scores to be used in the risk engine and enabling automated decisioning, all while keeping workflows transparent for analysts.

Solution

SMG didn’t replace a single existing tool; SEON augmented multiple solutions and internal techniques. SMG leverages SEON’s Device Intelligence and Digital Footprinting alongside its Risk Scoring Engine to enrich each event with 900+ data signals, enabling automated decisions without manual intervention.

Key benefits included:

  • Richer enrichment data, including device and network insights
  • Clear risk scores that enabled nuanced decisioning
  • Centralized visibility for analysts
  • API-driven automation to integrate fraud controls into workflows

Scaling with Automation

As SMG’s footprint expanded across brands, automation became essential. SEON’s enriched data and scoring:

  • Reduces manual reviews
  • Lets analysts focus on complex investigations
  • Frees customer care from handling routine fraud cases
  • Enables consistent fraud evaluation across the portfolio

Automation transformed trust and safety operations from reactive to proactive, stopping suspicious activity early and supporting business growth while being efficient.

Operational Impact

Before SEON, analysts would need to gather intelligence from different tools, some internal or integrated, others external. But with SEON:

  • Enrichment and scoring are available in one platform
  • Investigations’ time is significantly less
  • Less time is spent stitching data together
  • Less dependency between trust & safety operations and product

Conclusion

What started as a replacement of an in-house tool has evolved into a scalable, risk-based fraud program protecting nearly 20 brands across Swiss Marketplace Group.

By combining data enrichment, risk scoring and automation, SMG now delivers consistent protection across the entire portfolio efficiently while enabling growth.

SEON plays a role in that foundation, not as a standalone fix, but as a core component of a broader security strategy built for sustainability.

For SMG, fraud prevention is not about adding more people or more rules. It’s about trust and making smarter decisions as early as possible. And about giving teams the tools they need to protect customers while the business continues to scale.

“I don’t want my experts doing repetitive work. I want them to make the judgment calls, and I want the AI to give them the information to do that.”

Mostafa Hassanin, Group CISO/CSO


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