Background & Opportunity
The Netherlands already had an established online vehicle-selling market when the founding team entered it. Several platforms offered broadly similar processes: an individual owner submitted vehicle information, the platform contacted potential buyers, and the parties tried to complete a sale. Looping.com’s opportunity did not come from creating an entirely new category. It came from interpreting the weaknesses of the existing transaction experience differently. According to a startup retrospective published on March 8, 2024, Sefa Sarioglu and Jonathan Koole had worked for an online automotive trading platform. They left because they disagreed with what they saw as the former platform’s increasingly “opaque” direction. After conducting market research, they created a new platform. The team believed that anonymous or nontransparent bidding, attempts to reduce the agreed price during vehicle handover, the lack of a consistent contact person, and unhealthy cooperation between platforms and dealers could all undermine a seller’s trust in the transaction. For a new entrant, the challenge involved more than product functionality. Vehicle matching is a two-sided market. On one side, the platform must persuade individual owners to submit accurate and sufficiently complete vehicle information. On the other, it must build a dealer network capable of making offers and completing purchases. A new brand has limited recognition: if it cannot attract enough vehicle supply, dealers have less reason to participate; if dealer coverage and matching quality are weak, owners are less likely to receive attractive offers. Looping.com therefore had to address customer acquisition, matching, trust, and platform governance simultaneously rather than merely launch an automated valuation page or anonymous bidding tool. The team made “personal attention, transparency, and end-to-end service” its core positioning. After a seller submitted the initial details, the platform assigned a dedicated sales specialist to complete the vehicle description. This prevented the customer from being passed among different contacts at different stages. Based on the vehicle’s characteristics, the specialist approached suitable dealers and assisted with negotiation on the seller’s behalf, turning human service into part of the platform product. Looping.com also emphasized visibility into the buyer and the offer and required buyers to be businesses recognized by RDW. When a transaction was completed, the buyer was expected to pay immediately and arrange release of the seller’s vehicle liability, reducing uncertainty during handover. At the same time, Looping.com did not buy the vehicles itself and did not become a party to the vehicle sale contract. The owner and dealer signed the contract directly, while the platform organized information, conducted matching, facilitated communication, and supported the transaction. Current public terms state that sellers use the service free of charge and that the purchasing dealer pays the platform after a completed transaction. Specific rates have not been disclosed. Some website language has conflicted with the formal terms regarding fees, so the actual arrangement remains subject to the relevant contract. This structure allowed the company to avoid directly holding vehicle inventory, although service quality still depended on the capabilities of its sales specialists, the breadth of its dealer network, and consistent enforcement of transaction rules. The platform later expanded beyond cars into motorcycles, motorhomes, caravans, trucks, boats, and other vehicle types while strengthening its brand-building and marketing organization. Public company information identifies the operating entity as wij verkopen wel (.com) B.V., registered under the Looping trade name and based in Enschede. Overall, the opportunity Looping.com pursued was not the invention of new demand for vehicle transactions. It was the redesign of how sellers were supported, how offers were presented, and how dealers were selected and managed within a mature market.
Original Problem / Model
Existing online vehicle-selling models followed similar processes. The founders particularly questioned anonymous bidding, limited information transparency, price reductions during handover, and the absence of a dedicated contact person. A new brand also had to attract owners and dealers at the same time; without sufficient participation on both sides, the marketplace could not generate effective matches.
Turning Point
The turning point came after the two founders left their former platform and completed market validation. Instead of copying a basic automated valuation service or anonymous auction, they combined human sales specialists, transparent offers, and a screened dealer network into the core service.
Core Decision
The central decision was to use an asset-light matching model. The platform would not purchase vehicles, hold inventory, or become a party to the sales contract. Sellers would use the service free of charge, while purchasing dealers would pay the platform after completed transactions.
Execution / Model / Acquisition Changes
Each seller received a dedicated sales specialist who completed the vehicle information, identified appropriate dealers, and assisted with negotiation. Buyers had to be businesses recognized by RDW and were expected to pay and complete the release of vehicle liability at closing. The platform subsequently expanded into additional vehicle categories and strengthened its branding and marketing teams.
Measurable Results
In March 2024, the company reported approximately 15 employees and hundreds of completed matches. In June of the same year, it disclosed 40 sales specialists and annual sales of about 14,000 vehicles. Its website, captured in September 2026, displayed approximately 74.97万 registered vehicles, about 10.2万 sold, and a customer score of 9.4.
Lessons
These figures support the conclusion that the platform reached transaction volume at scale. However, the starting date, deduplication methodology, and audit status of the cumulative metrics were not disclosed. The case therefore cannot be used to calculate revenue or profit, or to attribute all growth strictly to any single decision.