Background & Opportunity
Sortter’s development illustrates a central challenge in financial-platform growth: a company must make a digital service easy to use while also making it safe enough to trust. Sortter was founded in Finland in 2018 as a newcomer to loan and finance comparison. Its platform did not lend money directly. Instead, it collected financing applications, matched customers with several banks and financial institutions, and helped compare personalised offers. The model covered consumer loans, unsecured loans, and business finance, with revenue generated through arrangement or service fees related to financing institutions. That role created both an opportunity and a communication problem. Comparison can reduce search effort for a customer, but the customer must first be willing to share sensitive financial information with an unfamiliar intermediary. A new entrant therefore cannot treat growth as a simple traffic-purchasing exercise. It must communicate what the service does, why the comparison is useful, and how the platform differs from a lender. If recognition is weak, even efficient advertising may generate visits without enough completed applications. If trust is weak, a customer may abandon the journey before the platform can create value. Sortter’s response was to make long-term brand building part of the acquisition system. The company worked with Sanoma on domestic multichannel marketing in Finland. The partner case describes a combination of long-term brand building, trusted media environments, tactical marketing, and data-driven decision-making. This combination matters because the objectives were different but connected. Brand activity could build familiarity and legitimacy over time. Tactical activity could encourage nearer-term action. Data could help the company decide whether the resulting demand was commercially useful rather than merely visible. The choice represented a change in mindset. Sortter did not rely exclusively on short-term performance advertising, where success might be defined by clicks or immediate applications. Nor did it treat brand advertising as unmeasurable. Instead, it used a portfolio of activities and continued to test how audiences and channels responded. Management referred to low-threshold pilots and ongoing efforts to try new channels. For a growing platform, this approach reduces the risk of committing all resources to an assumption that has not been tested. It also creates a practical way to learn without waiting for a perfect measurement system. The market context made this discipline important. Sortter reports cooperation with approximately 20 Finnish banks and financial institutions. It compares personalised loan offers and orders them using price indicators such as the annual percentage rate. That institutional breadth can improve customer usefulness, but it also creates a two-sided platform challenge. Consumers need enough relevant offers to see value in the service. Financing institutions need access to suitable customer demand and a platform that can support an efficient process. Brand recognition can help attract customers, while reliable matching and clear comparison can help sustain the value delivered to the institutional side. The company’s public statistics added another layer to the operating model. Sortter has provided data beginning in early 2020 on loan applications, approval rates, average loan amounts, loan terms, and quoted interest rates. The statistics page is updated monthly. These measures do not provide a complete financial attribution model, and they cannot independently prove that a particular media channel caused a specific outcome. They do provide a richer basis for management discussion. Application volume indicates demand, but approval rate gives information about the fit between customers and credit decisions. Average loan amount and term help describe the type of demand. Quoted rates provide additional context for the offers being compared. This distinction between volume and quality is essential. A campaign that produces many applications might appear successful while creating limited value if approval rates are weak or if the resulting financing demand is poorly matched to participating institutions. Conversely, a smaller channel might be important if it reaches consumers who receive useful offers and complete the process. Sortter’s stated use of such metrics suggests that media decisions could be connected to the broader economics of the platform. The available sources do not disclose the precise rules, thresholds, or attribution calculations used, so the lesson should be framed as a measurement direction rather than a proven formula. Sanoma’s case presents the marketing system as an important factor in Sortter’s growth. That is a meaningful business relationship, but it should be interpreted carefully. The public record does not provide an independent before-and-after control group, channel-level lift estimate, or incremental revenue calculation for the marketing work. Other forces could have influenced performance, including the usefulness of the comparison service, the number and behaviour of financing partners, consumer demand, competitive conditions, interest rates, operational execution, and the broader development of the brand. The strongest conclusion is that long-term multichannel marketing plausibly contributed to growth alongside these other factors. The reported financial outcome is nevertheless substantial. Multitude’s acquisition announcement states that Sortter generated €17.2 million in revenue and €1.6 million in net profit in 2025. These figures are stronger evidence for business scale and profitability than promotional reach metrics alone. Sortter also states that it has helped Finnish consumers look for fairer loan terms more than one million times. That figure uses Sortter’s cumulative assistance measure. It is not presented as a count of approved loans, disbursed loans, or unique customers, and the public page does not further divide it. Keeping that definition intact prevents the success story from becoming more precise than the evidence allows. The company’s relationship with Multitude also marked an important stage. Sortter received an initial 19.97% investment from Multitude in 2023. In May 2026, the parties signed an agreement for Multitude to acquire a majority stake. The transaction supported a next stage of expansion, while the case decision emphasised maintaining Sortter’s existing brand, platform, and management-team independence. This is strategically relevant because capital support does not require erasing the customer-facing identity that has been built. A comparison platform depends on consumer confidence, and a clear independent role may remain part of that confidence. The business should also resist unsupported growth claims. Sortter’s own materials describe it as a leading Finnish loan and finance comparison platform. Multitude’s materials disclose the revenue, profit, investment, and transaction information. A public FT1000 2026 page explains that companies are assessed on average revenue growth between 2021 and 2024, but it does not give Sortter’s specific rank, start revenue, end revenue, or CAGR. Those numbers cannot be reconstructed responsibly from the available facts. Similarly, the more than one million assistance occasions should not be translated into a loan approval total. The competitive implications are mixed. A larger network of approximately 20 institutions can make comparison more useful, yet lenders may retain bargaining power because they supply the underlying financing offers. Customers may have low switching costs after receiving information, although trust and familiarity can reduce the likelihood of starting with another service. Public statistics and accumulated platform interactions may support learning about customer and credit-decision patterns, but the evidence does not establish a proprietary data moat. Banks, direct lenders, and other comparison platforms remain alternatives. Regulation and changes in interest rates can affect both customer demand and lender approval behaviour. These factors point toward a cautious growth system. Sortter can continue developing consumer and SME finance comparison, but each expansion should be tested against customer usefulness, application quality, institutional participation, and profitability. More reach is not automatically better if it lowers the quality of demand. More data is not automatically a defensible advantage if it is not translated into better matching or decisions. More partners are not automatically beneficial if the comparison becomes confusing. The platform must keep explaining its role clearly and preserve the relationship of trust that makes customers willing to use it. The main lesson is not that one media partner or one channel created the outcome. It is that Sortter connected several mechanisms: a clear comparison proposition, domestic brand communication, trusted media, tactical activation, low-cost experimentation, operating data, and a business model aligned with financing institutions. This connection helped the company address the specific weakness of a newcomer: insufficient confidence. The 2025 financial result and the reported customer-assistance scale show that the company achieved a successful position, while the limitations of public attribution show why its marketing should be described as a contributor rather than the sole cause. For decision-makers, the sequence is practical. Start by identifying the trust barrier. Build familiarity in environments that fit the market and the category. Test channels without making every experiment a major commitment. Measure the path from application to approval and commercial value, not merely exposure. Preserve a clear distinction between a comparison platform and a direct lender. When outside capital arrives, use it to extend proven capabilities without automatically dismantling the brand and operating model that created customer confidence. Sortter’s case demonstrates how a platform can pursue scale and profitability while keeping those disciplines visible.
Original Problem / Model
Sortter’s initial barrier was trust. Founded in Finland in 2018, it asked consumers to submit sensitive financial information to a new comparison platform rather than to a direct lender. The service therefore had to explain its independent role, show why comparing personalised offers was useful, and create confidence before short-term acquisition could become efficient. Recognition and credibility were strategic requirements, not cosmetic brand goals. Sortter also needed to attract enough suitable applications for participating banks and financial institutions to see value in the platform. A campaign that generated visits without completed or relevant applications would not solve the underlying business problem. The starting model thus combined customer education, brand familiarity, and credible platform operation. This made trust a prerequisite for both consumer engagement and the matching process that generated revenue through financing-related arrangement or service fees.
Turning Point
The platform connected customers with approximately 20 Finnish banks and financial institutions, comparing personalised offers by indicators such as annual percentage rate. That network created value for consumers by reducing search effort, but it also created a two-sided dependency. Customers needed enough relevant offers to consider the comparison useful, while institutions needed suitable demand and an efficient matching process. Sortter’s clear independent role helped distinguish it from a direct lender. The broader network could strengthen usefulness, but it did not remove competitive pressure or guarantee approvals. A credible brand, transparent comparison, and reliable execution were therefore important to both sides. These features helped turn a newcomer’s platform proposition into a more credible service without claiming that the partner network alone caused the company’s later growth.
Core Decision
Sortter and Sanoma used domestic multichannel marketing, combining long-term brand building with tactical activity. Management also described low-threshold pilots and continued experimentation with new channels. The aim was to build familiarity in trusted media environments while preserving commercial learning and avoiding an untested, all-or-nothing media commitment. Brand communication addressed the trust barrier; tactical activity supported nearer-term action. This combination gave Sortter a structured way to learn which audiences and channels could support useful demand, rather than judging success only by exposure or immediate clicks.
Execution / Model / Acquisition Changes
Data helped connect communication with platform economics. Since early 2020, Sortter has published monthly statistics on applications, approval rates, average loan amounts, loan terms, and quoted rates. These measures cannot prove that a particular campaign or channel caused a specific outcome, but they provide more context than reach or clicks alone. Application volume indicates demand, while approval rates offer information about the fit between customers and credit decisions. Average loan amounts and terms describe the type of demand, and quoted rates add context about the offers being compared. Together, the measures can help management examine whether media activity is attracting commercially useful applications and whether demand is being matched with participating institutions. The public sources do not disclose the precise thresholds, attribution rules, or investment formulas used, so this should be treated as a measurement direction rather than a proven causal system.
Measurable Results
The financial outcome was significant but must be described precisely. Multitude reported Sortter’s 2025 revenue at €17.2 million and net profit at €1.6 million. Sortter says it has helped Finnish consumers seek fairer loan terms more than one million times; this is a cumulative assistance measure, not a disclosed count of approvals, disbursements, or unique customers. The company also reports cooperation with approximately 20 Finnish banks and financial institutions. Sanoma identifies multichannel marketing, trusted media, long-term brand building, and data-led decisions as important growth factors. However, public evidence does not isolate the campaign’s incremental revenue or profit effect through a control group, channel-level lift estimate, or comparable attribution study. The figures demonstrate reported scale and profitability, while the marketing evidence supports contribution rather than exclusive causation.
Lessons
The strategic lesson is to preserve the combined system. Sortter can continue comparing consumer and SME finance while retaining its brand, platform, and management independence. Growth decisions should consider trust, application quality, approval rates, institutional value, profitability, regulation, and interest-rate conditions rather than applications alone. Brand activity should continue in credible environments, but channel choices should remain open to testing and revision. Public platform statistics can inform decisions without being treated as proof of marketing causality. The company should also keep explaining that it compares financing offers rather than lending directly. This distinction supports customer understanding and helps protect the independent relationship that made the platform useful. Growth is defensible when reach, matching quality, customer usefulness, and financial performance improve together; exclusive claims about one campaign’s effect are not supported.