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Similarweb helps businesses and investors understand online markets by estimating website and app traffic, engagement and audience characteristics. It combines data shared by site and app owners, anonymous or de-identified activity from consumer products, public information and licensed partner data, then uses predictive models to turn those inputs into estimates. Customers pay for access through products such as Web, App and Stock Intelligence, or for data delivered into their own systems and products. It also sells customized analysis and advisory services.
Subscriptions are the main revenue engine, and larger accounts supply most of its recurring business. Revenue depends on customers renewing and expanding their subscriptions, while the value of those subscriptions depends on reliable, continuously refreshed data. Privacy laws restrict how Similarweb may collect and process information, and browser, app-store and platform rules can further limit access to the data its estimates require.
The risk section is the longest, dullest part of the filing. This keeps only what can really hurt you: where it hits, how hard, when it plays out.
Every company claims an edge. Each one is checked against hard numbers like margins and returns: which hold, and which line gives way first.
Similarweb’s results hinge on demand for digital intelligence and competition with SEMrush in digital marketing and Sensor Tower in mobile app data, neither of which appears here.
comScore, Inc. competes with Similarweb for advertisers, agencies, publishers and technology companies buying intelligence on digital audiences and consumer activity. Watch Comscore’s audience measurement and advertising-effectiveness services for signs of competition facing Similarweb’s web and app intelligence.
Aurora Mobile competes with Similarweb in turning mobile behavior data into market intelligence that corporations and investment firms pay for. Aurora’s insights draw on anonymous device data collected through services embedded in apps, making its market-intelligence offering the part to watch alongside Similarweb’s app data.
Alarum Technologies Ltd. competes with Similarweb for businesses buying web data for search optimization, financial analysis and AI, and explicitly names Similarweb as a competitor. Alarum sells tools to collect public web data and ready-made datasets, so demand for those products offers a comparison with Similarweb’s data feeds and AI-related data work.
Sprout Social, Inc and Similarweb both depend on businesses spending on digital marketing analytics: Sprout sells software to manage, monitor and analyze social media, while Similarweb sells web and app intelligence to guide marketing decisions.
comScore, Inc. earningsSCOR
comScore’s report will show how advertisers, agencies and publishers are buying digital-audience measurement and ad-effectiveness services, a budget area they share with Similarweb’s web and app intelligence.
Look for demand and revenue signals in comScore’s audience-measurement and ad-effectiveness services. Stronger demand would show that shared buyers are still paying for digital-audience insight, supporting the budget backdrop for Similarweb. Weaker demand would suggest those buyers may be tightening related spending, putting more pressure on Similarweb’s web and app intelligence to win the same budgets. This is evidence about the shared market, not proof of Similarweb’s own sales.
Aurora Mobile Limited earningsJG
Aurora Mobile’s report will show whether businesses and investment firms are buying mobile-behavior intelligence built from anonymous device data, a market it shares with Similarweb’s App Intelligence.
Look for demand and revenue signals in Aurora Mobile’s market-intelligence offering. Strength would show that businesses and investment firms are still paying for mobile-behavior data, a supportive demand backdrop for Similarweb’s App Intelligence. Weakness would suggest those buyers are reducing related purchases or questioning the value of such data products. Aurora uses anonymous device data collected through services embedded in apps; its results do not establish Similarweb’s own data sources or sales.
Similarweb Ltd. earningsThis company
Similarweb’s report will show whether subscription revenue from its web, app and other digital-intelligence products can keep growing while covering the cost of collecting and serving the data.
Read subscription revenue growth alongside gross margin. Continued subscription growth with a steady margin would show customers are renewing or expanding use without data-collection and delivery costs consuming the added revenue. Slower subscription growth or a falling margin would point to tighter customer spending or higher data and service costs. Operating expenses and cash from operations then show whether recurring growth is supporting investment, rather than one-off large data projects doing the work.
Alarum Technologies Ltd. earningsALAR
Alarum’s report will show whether businesses are buying web-data collection tools and ready-made datasets, a market it shares with Similarweb’s data feeds, exports and AI-related data work.
Look for demand and revenue signals in Alarum’s web-data products for search optimization, financial analysis and AI. Strength would show businesses are still buying web data, a supportive backdrop for Similarweb’s feeds, exports and AI-related projects. Weakness would suggest buyers may be tightening this spending, leaving Similarweb to contend with more cautious budgets. The products are not identical, so Alarum’s results cannot establish a change in Similarweb’s subscriptions or project revenue.
