Similarweb Ltd. (Similarweb) provides digital data and analytics that power critical business decisions.
The company uncovers what is happening online and seeks to provide businesses with the most comprehensive, actionable, and trusted digital data to build strategy, optimize customer acquisition, and enhance monetization. While the company is well known for its productized software solutions, as well as for its application programming interface (API), and its freemium offerings estimating webs...
Similarweb Ltd. (Similarweb) provides digital data and analytics that power critical business decisions.
The company uncovers what is happening online and seeks to provide businesses with the most comprehensive, actionable, and trusted digital data to build strategy, optimize customer acquisition, and enhance monetization. While the company is well known for its productized software solutions, as well as for its application programming interface (API), and its freemium offerings estimating website and app usage, at its core, the company is a data business. Similarweb Digital Data is the company's estimate of all the actions and transactions in the digital world across websites and apps worldwide.
The company’s customers use Similarweb Digital Data to power critical decisions for running their businesses and optimizing their activities in the digital world. The company is becoming recognized as the standard for powering data-driven decisions for businesses across all channels within the digital world.
To create the company’s proprietary data asset, it collects billions of raw web and mobile data points on activity related to companies and products. The company’s data scientists and engineers transform the unrefined data on interactions and transactions into Similarweb Digital Data using proprietary algorithms that leverage machine learning and artificial intelligence.
The company delivers its Digital Data in three distinct and impactful ways:
The company’s robust software platform with products, including Similarweb Web Intelligence, Similarweb App Intelligence, Similarweb Shopper Intelligence, Similarweb Sales Intelligence and Similarweb Stock Intelligence, empowers business teams and leaders to drive better strategic and operational decisions to grow and win their markets.
The company enables customers to seamlessly integrate its Digital Data through APIs into enterprise workflows, processes and systems to facilitate data powered decisions at scale.
As the demand for differentiated digital data increases, more and more of the company’s customers are amplifying the value of their own offerings by embedding its data into their products and services.
Businesses utilize the company’s productized SaaS solutions to enhance the capabilities of their professionals at all levels of the organization- from business leaders, strategy teams, analysts, marketers, and category managers to salespeople - to quickly and efficiently discover their best growth opportunities, identify potential competitive threats and make critical decisions to acquire customers and grow revenue.
The company’s Data as a Service (DaaS) solution provides strategic accounts, enterprises and SMBs with data feed APIs and exports, allowing them to integrate Similarweb Digital Data into their own dashboards and internal applications. The company also provides advisory services, typically to businesses at the enterprise and strategic account level who require assistance with business challenges for which it has not yet productized a solution or who need extensively customized data and analytics to accomplish their objectives using Similarweb Digital Data.
The company provides bespoke data integrations and data feeds to customers who has their own teams of data scientists and their own data integration and analytics infrastructure. Integrations are useful for clients who want to combine its data with their own business intelligence systems. For clients who require customized and streamlined data delivery at scale, the company provides bespoke datasets that enhance their data models.
The company sells to companies with commercial activities in the digital world across a wide range of industries such as retail, consumer packaged goods, luxury & premium consumer brands, consumer finance, consultancies, marketing and advertising agencies, media and publishers, business-to-business software, payment processors, travel, and institutional investors. As of December 31, 2024, the company had 5,534 paying customers.
Digital Data
To power business decisions that build corporate strategy, accelerate customer acquisition, and maximize monetization, the company has created a comprehensive view of the digital landscape, Similarweb Digital Data. To create this proprietary data, the company collects real-time digital signals of interactions and transactions on millions of websites and mobile apps, and analyzes billions of search terms, digital ads, eCommerce product stock-keeping units, or SKUs, articles, and content pages across digital platforms, channels, industries, and geographies. Through synthesis, modeling, and analysis, the company transforms these digital data points into Similarweb Digital Data, which it delivers to its customers through SaaS, DaaS, or Integrations. Since its inception, the company has invested substantial resources to establish its data sets, methodology, and leading technology. The company's unique, multi-dimensional approach to analyzing the digital world leverages the experience of a team of PhDs and data scientists to cleanse and model vast amounts of data collected into reliable and actionable insights, which consists of Similarweb Digital Data.
First-party direct measurement data and analytics that millions of websites and mobile app owners share with Similarweb directly, giving the company visibility into specific websites and mobile apps:
Millions of website and app owners share their aggregated first-party analytics directly with the company. These direct measurement tools feed the company's machine learning algorithms and enrich its data and analytics solutions. In addition, many of these companies that share their first-party analytics data regarding their website traffic also choose to have the company publicly share that data on its platform, and they do so given the company's high brand awareness, popular free offering, and because these companies monetize traffic. As part of the process in which most website and app owners register as Similarweb users, they indicate whether they are willing to share their first-party direct measurement data, such as data provided by Google Analytics, with the company; the data in this category comes from those that opt to allow such access.
Contributory network of a collection of consumer products that aggregate de-identified or anonymous device behavioral data:
The company aggregates de-identified or anonymous traffic data from a collection of proprietary and third-party consumer-oriented desktop products and mobile apps. These consumer products and apps are generally provided in exchange for the ability to gather de-identified or anonymous users' digital activity. The data collected is used to understand website and app usage and traffic sources. This data is sourced from diverse audiences to maintain an accurate and consistent view of the digital world over time. The data in this category is collected pursuant to the terms of use of the respective apps or products, which enable the use of de-identified or anonymous data subject to the terms of their privacy policies.
Public data capture where the company uses advanced algorithmic and proprietary technology that captures and indexes public data from hundreds of millions of websites and apps:
The company’s public data sources represent an aggregation of online information available to the public. The company employs algorithmic and proprietary automated techniques to capture and index publicly available data from billions of web pages and apps every month. These data sources help the company to further refines its predictive models.
Partnerships with a global network of companies that collect digital signals:
The company partners with a global network of companies that capture digital data points and provide it with additional data from three data types: first-party direct measurement data, contributory network data, and public data, to supplement its own direct data collection, and to provide it with additional types of data to help understand behavior across the digital world. These partners include consumer apps, internet operators, measurement companies, and demand-side platforms that aggregate behavioral data across websites and apps. The company partners with these companies pursuant to data license or similar agreements. As part of the process of contracting with such companies, the company conducts due diligence on their data collection processes and privacy practices and requires representations and warranties with respect to those matters in the agreements that it enters with them.
Data Synthesis
In addition to creating robust data collection methodologies, the company has built sophisticated machine learning algorithms that synthesize data inputs collected for further modeling.
Cleaning the inputs to remove abnormal data points, behavior anomalies and to confirm the de-identification or anonymization of any personal data.
Matching the data points in a sequential order to identify meaningful behavioral sequences or transactional streams of events.
Pre-Processing the billions of data points for estimation with the company’s proprietary URL classification system to measure website traffic by acquisition channel.
Blending of multiple sources and historical digital signals to attain a comprehensive learning set of digital signals.
This process aggregates these mixed data sources and types into a single data set at the website or mobile app level, removing irregularities.
Data Modeling
After data has been normalized and synthesized it is then run through the company’s specialized machine learning training to generate predictive models that provide a consistent view of the digital world over time. This process includes:
Training machine learning models continuously refining for irregularities and estimation of biases in the digital signals.
Blending models for refined accuracy and consistency of the company’s industry-leading estimations.
Reporting key insights across countries, industries, user groups and devices for a comprehensive view of the digital world.
Data Delivery
After the company's data transformation engine generates powerful, ready-to-use insights in the form of Similarweb Digital Data, it then delivers them through its SaaS, DaaS, or Integrations to help companies make critical decisions about business strategy, customer acquisition, and monetization. The company's delivery models include:
Software-as-a-Service. The company's SaaS solutions help businesses accelerate their growth, empowering its users to discover and capture the best business opportunities, and proactively respond to emerging threats to the business. These solutions are powered by the company's proprietary technology that analyzes billions of digital interactions and transactions every day, from millions of websites, marketplaces, and apps, and turns these digital signals into actionable insights. The company's digital data and analytics solutions address the needs of users across entire organizations, from entry-level employees to the C-suite. The solutions are easy to use and integrated into users’ workflows for seamless adoption and maximum business impact. They provide a unified view of the digital world to power data-driven decision-making. The company's SaaS solutions include:
Web Intelligence
Allows senior leaders, strategy and business intelligence teams to benchmark performance against competitors, analyze trends in the market, conduct deeper research into specific companies and analyze audience behavior. The company also allows marketing leaders, search engine optimization, or SEO, and content managers, to understand their competitors’ digital acquisition strategies across marketing channels, and optimize their own strategies in response.This solution is used to build strategy and enhance customer acquisition.
Examples of business objectives and questions that can be addressed by the company’s Web Intelligence solution include:
Strategy Formation
‘What is the size and growth rate of the online banking industry in the US?’ and ‘Which online marketplace is gaining the most market share?’.
Revenue maximization
‘What is a good conversion rate in the apparel industry?’ and ‘What news topics are drawing the highest engagement with audiences?’.
Risk mitigation
‘In which geographies and marketing channels are my competitors outpacing my online growth?’ and ‘To which competitors and topics am I losing audience engagement?’.
Marketing spends planning
‘Are my competitors generating more efficient acquisition gains from paid or organic channels?’ and ‘From which marketing channel do travel businesses get the most traffic?’.
User acquisition optimization
‘Which keywords drive the most traffic share for shoe companies?’ and ‘Which digital ad types perform the best for luxury brands?’.
Traffic loss mitigation
‘From which of my top keywords are competitors stealing traffic share?’ and ‘Which of my affiliate partners are shifting traffic to competitors?’.
App Intelligence
Allows senior leaders, strategy and growth teams and market leaders to identify trends and monitor usage and retention, user reviews, audience behavior, and overall sentiment. The company also enables businesses to benchmark their performance against competitors across the funnel from app store downloads to usage and stickiness. This solution is used to build strategy, improve monetization and enhance customer acquisition. Combined with Web intelligence, these two solutions provide a holistic view of the digital landscape.
Examples of business objectives and questions that can be addressed by the company’s App Intelligence solution include:
Essential App metrics
‘How do I track downloads worldwide across platforms?’; ‘How do I track my ranking worldwide across platforms?’ and ‘What is my MAU (monthly active users) and DAU (Daily active users) worldwide across platforms?’.
Growth rate optimization
‘How can I spot more growth opportunities in my market and with my audience?’ and ‘How can I keep up with market trends that are happening constantly?’.
Relationship building & Retention maximization
‘How can I know session length and sessions per user metrics?’ and ‘How can I view my overall retention rate and historical retention metrics?’.
Sales Intelligence
Allows sales management and operations, sales representatives and account management teams to access relevant buying signals and digital insights of their customers to generate more leads more quickly, enrich leads automatically and collaboratively engage with prospects and customers. This solution is used primarily to enhance customer acquisition.
Examples of business objectives and questions that can be addressed by the company’s Sales Intelligence solution include:
Pipeline generation
‘How can I identify the fastest growing eCommerce companies, so that I can target them?’ and ‘Which companies outside my CRM fit my ideal customer profile?’.
Win rate optimization
‘How can I create the most powerful pitch to win my prospect's business?’ and ‘What is the most important factor for my prospect’s buying decision?’.
Relationship building & Retention maximization
‘When should I engage my customers to ensure the best conversion?’ and ‘In what additional offerings would my customer be interested?’.
Shopper Intelligence
Allows digital commerce leadership and category and product managers to analyze a complete view of their customers’ digital journeys, monitor consumer demand, increase brand visibility in the search process and optimize category and product level conversion in the purchase process. This solution is used primarily to maximize monetization.
Examples of business objectives and questions that can be addressed by the company’s Shopper Intelligence solution include:
Strategy formation
‘How can I get more visibility in online marketplaces like Amazon, Walmart, or Target?’ and ‘On which marketplaces or first-party websites do personal care products convert better?’.
Revenue maximization
‘How much money are consumers willing to spend on my products?’ and ‘What is the average purchase frequency in my category?’.
Risk mitigation
‘Which of my customers are cross-shopping? Which brands are they evaluating?’; ‘Which of my competitor’s products are selling the most on Amazon? and ‘What other marketplaces is my competitor using to sell their product?’.
Stock Intelligence
Allows portfolio managers, investment professionals, data scientists and research analysts to access an end-to-end view of market, sector or company performance to ideate and monitor investment opportunities, forecast market performance and perform due diligence. This solution is used primarily to maximize monetization.
Examples of business objectives and questions that can be addressed by the company’s Investor Intelligence solution include:
Investment ideation
‘Within the food and grocery sector, which company offers the best opportunity?’ and ‘Is the apparel re-sale sector on track to grow this year?’.
Investment monitoring & Risk mitigation
‘In which geographies is this company experiencing the fastest growth?’ and ‘How can I improve my portfolio company’s brand health and traffic?’.
Hypothesis validation
‘What does daily digital traffic suggest about company performance against market expectations?’ and ‘What does travel website activity predict for hotel occupancy rates next summer?’.
Data-as-a-Service
The company equips businesses with the ability to create their own perspective of the digital world at scale by providing large, configurable, structured, granular datasets of Similarweb Digital Data that are delivered to their data lake. These datasets provide a holistic view of the digital world by combining the company's datasets, which are mapped to its company data. The company provides self-operated access to its data via its batch API, REST API, and integrations through Snowflake, AWS, Databricks, Google Cloud, and more. The company also provides Similarweb-administered access through data feeds and custom delivery methods. Direct access to Similarweb Digital Data enables its customers to configure their own models that support their critical business decisions.
Integrations
The company provides bespoke data sets that can be integrated into the business intelligence solutions and data products of sophisticated customers that has built their own data capabilities including data analyst teams, data infrastructure and proprietary models. Some of these customers use Similarweb Digital Data to enrich and improve the forecasting accuracy of their models Examples of this use case include quant investors that integrate the company’s data into their algorithmic trading models, LLMs that use its data for training their chatbots and most recently S&P that plans to integrate the company’s data into some of its credit risk products. Bloomberg Terminals has signed a contract to include a subset of its data into its terminal.
Advisory Services
When businesses request assistance with problems for which the company has not yet productized a solution, they often partner with its Advisory Services team to unlock premium analyses from Similarweb Digital Data. The Advisory Services team provides custom embedded consulting engagements that are tailored to meet specific business needs. The company's industry experts, along with their team of consultants and data scientists, work directly with customers to frame and solve their core business challenges, such as mapping the consumer path to purchase, profiling a specific audience, or measuring digital brand performance. The company works alongside its customers' teams to help them make critical business decisions. From these engagements, the majority of which provide an additional source of recurring revenue, the company regularly utilizes the work done to create scalable productized solutions to further expand into its Total Addressable Market (TAM).
Growth Strategy
The company's strategies are to acquire new customers; expand spend from existing customers; continue innovation and technology leadership; the AI revolution presents multiple opportunities; further democratize access; collect more digital data points; and pursue M&A opportunities.
Customers
The company serves a broad range of customers of all sizes across a variety of industries, including agencies & consulting, consumer goods, financial services, media, pharmaceuticals, retail, technology and travel, among others. As of December 31, 2024, the company had 5,534 customers globally.
For the year ended December 31,2024, approximately 52% of the company’s revenue was generated from customers outside of the United States.
Sales and Marketing Operations
The company deploys a highly efficient approach to sales and marketing to grow its business. The company’s sales and marketing teams collaborate to create brand awareness and demand, build a robust sales pipeline, and ensure customer success, driving revenue growth. The company's sales and marketing model provides it with a competitive advantage because it attracts and engages new businesses efficiently and at scale, and it has established a successful upsell motion to grow existing customer accounts.
The company has a highly efficient sales organization, which includes a global sales force, technical and data experts, and support staff, operating through both an inbound and outbound sales motion. The inbound sales motion accounts for approximately half of the company's new sales opportunities, where prospective customers display initial interest in Similarweb Digital Data by visiting or contacting the company through its website. These cost-effective leads are efficiently converted to pipeline opportunities for the company's sales teams to pursue. The company complements this inbound motion with an outbound motion focused on developing sales opportunities with larger targeted accounts, where its sales representatives engage organizations based on a geographic coverage model. In general, large enterprises are covered by the company's field sales team, and smaller organizations by its inside sales team. The company has a team of account managers focused on expanding and retaining its existing customer relationships by helping its customers optimize the value they derive through their usage of the platform, solutions, and Similarweb Digital Data.
The company continually engages with its customers post-purchase through support services and proactive account management team check-ins. As part of this engagement, the company also seeks to identify additional opportunities to upsell customers to new services based upon the value and experience they are deriving from Similarweb Digital Data.
To drive sales, the company leverages free offerings that attract and engage prospects’ interest and feature its platform capabilities. Through its website, and through a popular browser extension, the company provides free access to a wide range of basic services that offer users a subset of its robust insights and analytics, as well as the opportunity to explore the value they could achieve from its paid offerings. The company's free offerings deliver ranking and ratings of websites and apps as of a recent date and act as an entry point for many users who often upgrade to paid subscriptions. In 2024, the company attracted over 120 million users with these free offerings, resulting in hundreds of thousands of sales leads. While functional and relevant to a broad swath of businesses, the company's free offerings offer significantly less functionality than its paid solutions, which address specific use cases with robust insights and time series data, along with granular details around web traffic, behavior, and user journey that can drive business decisions and success.
The company’s marketing efforts focus on establishing its brand, generating awareness, positioning its products in the market, creating demand, and nurturing the Similarweb community. The company’s emphasizes promoting its free products, which are integral parts of its customer acquisition process, as well as its paid solutions and the functionality they offer. The company's marketing team consists primarily of product marketing, demand generation, field and event marketing, communications, and solution campaign management.
Marketing leverages both online and offline marketing activities, such as events and trade shows, seminars and webinars, paid digital advertising, content marketing, search engine optimization, and email marketing. The company's content marketing efforts include the publication of educational content, white papers, case studies, and blogs. The marketing team also creates and publishes digital research, backed by insights derived from Similarweb Digital Data, that effectively captures media attention through its public relations efforts.
As Similarweb is increasingly recognized by media and analysts as the best source of comprehensive data on activity within the digital world, the company’s earned media coverage has risen significantly. In 2024, Similarweb Digital Data was featured in over 50,000 print and digital articles, including dozens of features in leading publications, such as the New York Times, Wall Street Journal, and Financial Times, driving significant brand awareness in its target markets.
Intellectual Property
As of December 31, 2024, the company owned five registered patents: it acquired one patent in the United States and one foreign patent from a third party in 2015; and in 2021, it acquired from another third party an additional patent portfolio, which, as of December 31, 2024, consisted of three patents in the United States. As of December 31, 2024, the company owned four registered trademarks in the United States, and it owned thirty trademark applications and registered trademarks in various additional jurisdictions.
Trademarks
‘Similarweb’, the Similarweb logo and the company’s other registered and common law trade names, trademarks and service marks are the property of the company. or its subsidiaries.
Research and development
The company’s research and development expenses were $55.6 million for the year ended December 31, 2024.
History
Similarweb Ltd. was founded in 2009. The company was incorporated in 2009 under the Israel Companies Law, 5759-1999, or the Companies Law, of the state of Israel.
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