Unlocking Financial Data Value: Modern Pricing Models and Smart Internal Data Use

For financial services firms, data is king—or at least, it should be.

Yet many of these firms, including hedge funds and mutual funds, are failing to capitalize on the full potential of the datasets they purchase. Instead of using data to gain a competitive advantage, they often get stuck in outdated practices and expectations that limit the value of their investments.

Why are financial services still not getting the most out of their data? The problem isn’t just how data is used but also how it’s priced and delivered by vendors.

This article explores two key use cases—optimizing data utilization for financial services and modernizing pricing strategies for data vendors. By addressing these challenges, Similarweb’s Data-as-a-Service solutions empower companies to benefit from the true potential of digital insights, improving data management, enrichment, and visualization at scale.

Optimizing data utilization in financial services

Unlocking the potential of data requires more than just purchasing datasets—it demands a strategic shift in how financial services firms approach data integration and usage. From building internal expertise to leveraging APIs, the focus is on transforming data into actionable insights that drive ROI.

Why financial services firms struggle to maximize data investments

For years, financial services firms have relied heavily on data vendors to spoon-feed them with insights. This approach, where vendors provide a pre-packaged set of insights, limits firms from proactively extracting unique value. It keeps them at the mercy of external data providers and prevents them from becoming truly data-driven organizations.

Many firms lack the expertise, resources, or dedicated personnel to make the most of their data. With few Chief Data Officers (CDOs) and a poorly structured data infrastructure, these firms struggle to integrate various data sources into a cohesive stack.

The result? Valuable data ends up underutilized, while decision-making lags behind.

Leveraging Similarweb’s unique data to power growth

To move beyond spoon-fed data, financial services firms must change their approach to data utilization. Similarweb’s Data-as-a-Service (DaaS) is uniquely positioned to help firms become more proactive and agile and make data-driven decisions.

Here’s how:

• Build an internal data team: Start by hiring or partnering with experts who can develop an internal data competency. Building an internal team ensures that the firm can understand and act on the data independently
• Integrate data feeds into a cohesive tech stack: Use Similarweb’s API and Data Feeds to bring data directly into your existing data warehouse or analytics tools like Power BI, Google Looker Studio, or Tableau. With everything working together, analyzing your data becomes faster and easier. Create accurate and visually engaging reports with the Google Looker Studio integration
• Implement real-time, actionable insights: Similarweb’s API gives firms access to real-time insights and the ability to integrate data into their workflows and tools to make informed decisions faster. Discover more API use cases

⚡ Before and after: Imagine a hedge fund that previously relied on a third-party vendor for pre-processed insights – now, with an internal data team and direct integration with Similarweb, they have autonomy. Decision-making becomes faster and more accurate, driving a significant ROI on data investments.

Modernizing pricing for data vendors: The subscription shift

As the data industry evolves, traditional pricing models fall short of meeting modern demands. Subscription-based pricing offers flexibility and scalability for vendors and buyers alike, fostering better customer relationships and predictable revenue streams.

Rethinking pricing strategies

Data vendors often struggle to align their pricing models with the expectations of their customers – particularly in financial services. Many buyers still expect traditional equity research pricing models like broker votes and soft dollars, but these outdated models don’t align with the subscription or consumption-based pricing structures that modern data providers need to adopt to scale efficiently.

Thomas Del Vecchio, in a recent discussion, highlighted four levels of subscription models that data vendors should consider.

These include:

• No subscription: Allowing customers to purchase one-off reports or data assets
• Low-level subscription: Providing basic access to specific data through a credential-based portal
• All-in subscription: Full access to all data and support from customer success teams
• Open API subscription: Providing access to an open API for firms needing real-time data for automated processes

Setting up the right solution: Similarweb’s flexible pricing model

With Similarweb’s DaaS, data vendors can access flexible pricing models that align with clients’ needs and expectations. Here’s how to implement a subscription strategy effectively:

• Start with entry-level offerings: Similarweb’s ready-made reports are a great way to provide tangible value without requiring a significant upfront commitment. This approach is helpful for smaller firms that may be hesitant to commit to a long-term subscription
• Scale to higher-tier subscriptions: As clients see value in the initial offerings, they’ll move to higher-tier subscriptions that include more comprehensive access, such as Similarweb’s Data Feeds or API. This ensures long-term engagement while allowing clients to scale at their own pace

⚡ Before and after: Picture a data vendor struggling with inconsistent revenue due to one-off sales. By implementing a subscription model, they transform their business with predictable monthly revenue and stronger client relationships, ultimately leading to easier scaling and better customer retention.

Transforming your data strategies with Similarweb

With Similarweb’s comprehensive suite of tools—from Data Feeds to API access—your business can gain instant access to billions of data points to elevate your strategy. It’s time to move away from outdated practices and embrace a proactive, scalable approach to digital insights.

Ready to unlock the full power of your data? Schedule a custom consultation with Similarweb to learn how our DaaS can service your business today.

by Omri Shtayer

VP of Data and DaaS Products

Omri Shtayer is the VP of Data and DaaS Products. He is known for leading innovation initiatives across the company and scaling the data business of Similarweb. Omri was the CEO and Co-founder of Lagoon, launched in May 2020 which helped investors make better decisions with instant access to high-quality data.