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How Jobber achieved better signal coverage and more consistent decisions with Sardine

Logos for Jobber and Sardine connected by a plus sign, under "CASE STUDY".
"One of the standout aspects of Sardine has been the depth of signal coverage and the quality of the analytics layer on top of it. The platform surfaces granular device and session attributes that go well beyond what Jobber had access to previously. These markers are incredibly useful for distinguishing legitimate users from bad actors, identifying emulators or spoofing attempts, and linking related sessions across accounts."
Barnard Steyn, Head of Risk and Fintech Operations
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Built for home and commercial service pros, Jobber's platform streamlines and automates operations so businesses can work more efficiently, increase profitability, and scale with confidence. More than 100,000 businesses and 400,000 service pros across more than 50 industries, including landscaping, plumbing, cleaning, and contracting, rely on Jobber every day to quote jobs, schedule crews, track jobs, collect payments, and more. As Jobber expanded its fintech offerings, the surface area for fraud and financial risk grew alongside it.

The challenge

Before Sardine, Jobber's fraud and risk operations relied on a legacy vendor that provided baseline coverage across core risk areas like account takeover and transaction fraud. The setup served Jobber well in their earlier stages, but as they grew, the team started to feel limitations in flexibility, signal depth, and the ability to adapt quickly. Their workflows leaned more manual than ideal, and the team was spending meaningful time on tasks that were better suited to automation.

The central challenge was maintaining accurate risk decisions without adding friction for legitimate customers. Higher volumes and more sophisticated activity required a more adaptable approach to decisioning and review. Consistent, repeatable decisions across a broader set of scenarios were harder to achieve as both the product and the risk surface continued to evolve. Signals, decisions, and workflows weren't unified in a way that allowed the team to operate efficiently, which slowed investigations and made it harder to spot patterns across cases. More flexibility on the rule and iteration side was needed so the team could respond to new patterns faster.

Why Sardine

Jobber's most important criteria were coverage, flexibility, and alignment with their future roadmap. Because they are constantly innovating on the product side and expanding into new areas within their fintech arm, the team needed a vendor that could move quickly and adapt alongside them.

Beyond roadmap fit, they needed a partner that could deliver real-time decisioning, strong signal coverage, and meaningful automation across their workflows. Ease of integration, explainability for analysts, speed of iteration, and the ability to consolidate vendors over time were equally important. Taken together, these criteria pointed toward a partner that could serve as a long-term foundation rather than a point solution, which was central to the decision.

The results

Sardine has helped Jobber close several meaningful gaps. They now have richer device and behavioural signals informing their decisions, faster iteration on rules in response to new fraud patterns, and the flexibility to adapt as their product and risk surface continue to grow.

“One of the standout aspects of Sardine has been the depth of signal coverage and the quality of the analytics layer on top of it. The platform surfaces granular device and session attributes that go well beyond what Jobber had access to previously. These markers are incredibly useful for distinguishing legitimate users from bad actors, identifying emulators or spoofing attempts, and linking related sessions across accounts.”

Barnard Steyn, Head of Risk and Fintech Operations

The analytics dashboard removes the need to create and maintain one internally, giving the team a robust, real-time view into rule performance and signal trends. That makes it much easier to spot emerging patterns and validate the impact of rule changes. Together, the richness of the underlying signals and the visibility provided by the dashboard have meaningfully raised the ceiling on what the team can detect and act on.

Today, Jobber's risk operations are centred on a unified case management workflow, with Sardine providing the signal layer that informs decisions across various lifecycles of their customers. Analysts have richer context behind each decision, and the team can iterate on rules and controls much faster than before. Overall, the operation feels more cohesive and better positioned to keep pace as Jobber continues to grow.

Sardine is a flexible risk decisioning platform that helps a growing fintech bring together fraud and behavioural signals. The value is better signal coverage, more consistent decisions, fewer disconnected workflows, and a platform that can scale alongside new products and emerging risk types. That combination of breadth, flexibility, and automation is what makes it a true platform rather than a point tool.

Moving forward

As Jobber continues to grow and expand their fintech offerings, the partnership with Sardine is expected to evolve alongside them. The platform's flexibility means they can layer in new use cases as they emerge, whether that's deeper automation, expanded coverage across new product areas, or leveraging more of the platform's capabilities as their risk surface broadens.