SMWB

Loading…

Overview

Similarweb provides a digital intelligence platform tracking website and app traffic to help businesses benchmark performance and analyze consumer behavior. Rev

Similarweb provides a digital intelligence platform tracking website and app traffic to help businesses benchmark performance and analyze consumer behavior. Revenue comes primarily from subscriptions across retail, finance, and tech sectors. They sell to over 6,000 clients, including Google and Amazon, while increasingly licensing proprietary data to large language model developers for artificial intelligence training and integration.

What They Do (Plain English & Analogies): Similarweb provides a 'digital scoreboard' for the entire internet. While a company like Amazon knows exactly what is happening on its own site, it doesn't know what is happening on its competitors' sites—Similarweb fills that gap. Analogy: It is like a 'Nielsen for the Web' or a 'GPS for the digital economy.' It tracks where people go online, what they search for, and what they buy, then sells that data to businesses so they can see the 'entire map' of their industry rather than just their own backyard.
Very Brief History: Founded in 2009 in Tel Aviv, Israel, Similarweb began as a tool to find similar websites. It evolved into a comprehensive digital intelligence platform, acquiring companies like Embee Mobile and Admetricks to expand into app and advertising data. The company went public on the NYSE in May 2021. Recently, it has pivoted its strategy to become a primary data provider for Large Language Models (LLMs), selling its proprietary digital behavior data to AI companies to train their models.
"Street Stereotype": The company is often viewed as a 'high-quality data asset with inconsistent execution.' Investors respect the 'moat' created by their proprietary data but have been frustrated by lumpy revenue growth and a Net Retention Rate (NRR) that has dipped below 100%. It is currently perceived as a 'show-me' story regarding its ability to transition from a marketing tool into a critical AI infrastructure provider.
Subsidiaries On Linked In*: Embee Mobile, Admetricks, Ranker
Customer Sectors & Example Clients: Sectors include Retail, Consumer Packaged Goods (CPG), Travel, Financial Services, and Big Tech. Specific clients mentioned or highly likely based on partnerships include Google, Amazon, Microsoft, Adidas, P&G, Walmart, HSBC, and Bloomberg (via terminal integration).
New Customers / Segments They'Re Targeting: The company is aggressively targeting Large Language Model (LLM) developers (like OpenAI, Anthropic, and Meta) for data licensing. They are also gunning for 'AI Agent' developers (evidenced by their partnership with Manus) and the 'OEM' market, where other software companies embed Similarweb's data directly into their own products.
How Key Themes May Help/Hurt: Similarweb is a central player in the 'Data Owners' theme. They benefit from the AI build-out because LLMs require fresh, structured human behavioral data to remain relevant and accurate. However, they could be hurt if 'Search' is disrupted; if users stop visiting websites and instead stay within a single AI chatbot interface, the traditional web traffic metrics that Similarweb tracks could become less valuable to marketers.

3 Main Long-Term Bull Details

AI Data Monetization: Similarweb is successfully selling data to LLM providers, with AI-related revenue now making up 11% of sales. 2) Revenue Durability: 60% of their Annual Recurring Revenue (ARR) is now on multi-year contracts, up from 49% a year ago, providing much better visibility. 3) Product Expansion: New offerings like App Intelligence and Gen AI Intelligence are scaling rapidly, diversifying the business beyond core web analytics.

3 Main Long-Term Bear Details

Retention Concerns: Total Net Retention Rate (NRR) has stagnated at 98%, suggesting the company is struggling to grow its existing core customer base. 2) Lumpy Deal Cycles: Large AI data contracts are complex and prone to 'slippage,' as seen in the Q4 2025 miss where two major deals failed to close on time. 3) Structural Search Risk: If generative AI leads to a permanent decline in website visits, the company's core data set may face long-term commoditization or relevance issues.

Competitors And Differentiation: Primary competitors include SEMrush (marketing/SEO focus) and traditional data providers like Nielsen or Comscore. Similarweb differentiates itself through the breadth of its data (covering web, app, search, and now 'chatbot' activity) and its shift toward 'agent-ready' data via its Model Context Protocol (MCP) integrations, which allow AI systems to read their data directly.
Recent Performance & What The Market'S Focused On: In the most recent quarter (Q4 2025), the company missed revenue guidance due to the delayed closing of two large LLM data deals. However, they achieved their second consecutive year of positive operating profit and 9th straight quarter of positive free cash flow. The market is currently focused on whether the 98% NRR can recover and how quickly 'one-time' AI data evaluation deals will convert into long-term recurring revenue.
Brands And Revenue Segments: Brands include Similarweb, App Intelligence, Shopper Intelligence, and Sales Intelligence. Revenue is primarily categorized as a single subscription-based segment, though management now breaks out 'AI-related revenue' (11% of total) and tracks performance across Digital Research, Digital Marketing, and Investor Intelligence solutions.

Bull / Bear Details

As of February 19, 2026, Similarweb is transitioning from a SaaS tool to a critical data infrastructure provider for the AI era. While Q4 revenue missed guidanc

Thesis

As of February 19, 2026, Similarweb is transitioning from a SaaS tool to a critical data infrastructure provider for the AI era. While Q4 revenue missed guidance due to lumpy LLM deal timing, the bull case is supported by AI-related revenue reaching 11% of sales and a record 60% of ARR being multi-year. Despite a pressured 98% NRR, the company's proprietary data moat and new agentic partnerships like Manus position it as a primary beneficiary of the AI data-training cycle.

Bull case

Similarweb is successfully monetizing its proprietary digital behavior data as "refined oil" for LLM training. AI-related revenue now accounts for 11% of total sales, and the company is targeting massive 7-figure multi-year contracts with Big Tech players. As these lumpy evaluation deals convert into recurring ARR, the company should see a significant growth inflection and a recovery in net retention metrics as data becomes a continuous training necessity.
The launch of AI Studio and the partnership with Manus (now Meta-owned) significantly expand Similarweb's TAM by lowering technical barriers and embedding data into autonomous agent workflows. With App Intelligence scaling rapidly and the new Model Context Protocol (MCP) bringing data directly into ChatGPT, Similarweb is evolving from providing static insights to powering the next generation of agentic digital intelligence and automated strategic planning.
Management has demonstrated strong financial discipline, delivering nine consecutive quarters of positive free cash flow. The quality of the revenue base is improving, with 60% of ARR now under multi-year contracts, up from 49% a year ago. This increased visibility, combined with a new CFO focused on capital allocation and disciplined cost management, provides a stable foundation for the company to navigate market volatility while scaling its AI portfolio.

Bear case

Despite the bullish AI narrative, a 98% Net Revenue Retention rate indicates that the core business is struggling to expand within its existing base. If the large LLM contracts that slipped in Q4 continue to face elongated sales cycles or fail to convert from one-time evaluation tests to recurring revenue, the company may face a structural growth ceiling that the emerging AI revenue streams cannot yet offset.
As generative AI shifts user behavior away from traditional search, Similarweb's core web traffic metrics may lose relevance. While management views this as an opportunity, there is a significant risk that the "red ocean" of AI optimization competitors or open-source models could commoditize digital intelligence data. This could erode Similarweb's pricing power and data moat as the digital landscape moves toward chatbot-driven discovery and agentic workflows.
The recent Q4 revenue miss and "deliberately prudent" 2026 guidance highlight execution risks during a major leadership and strategy transition. The company's heavy investment in a 30% sales headcount increase has yet to yield the expected top-line acceleration. If these new cohorts fail to reach full productivity or if the lumpy nature of AI deals causes further quarterly volatility, SMWB could face continued valuation compression and investor skepticism.

Bull / Bear Case

Bear Case: The core business is showing structural weakness, evidenced by a disappointing 98% Net Revenue Retention (NRR) and a significant Q4 revenue miss. Management's FY 2026 guidance of 10% growth represents a sharp deceleration from historical levels, suggesting that emerging AI revenue streams are not yet large enough to offset stagnation in core web intelligence. The "lumpy" nature of LLM contracts introduces high quarterly volatility and execution risk, while the 30% increase in sales headcount has failed to deliver the expected top-line acceleration. Additionally, as generative AI shifts user behavior away from traditional search, Similarweb's primary metrics may become less relevant. With a "red ocean" of AI optimization competitors emerging, the company faces the risk of data commoditization and continued valuation compression if it cannot prove the sustainability of its recurring revenue model.
Bull Case: Similarweb is successfully pivoting from a marketing tool to a critical AI infrastructure provider, with AI-related revenue now 11% of total sales and growing 3x year-over-year. The company's proprietary digital behavior data serves as "refined oil" for LLM training, positioning it for massive 7-figure licensing deals with Big Tech players. The partnership with Meta-owned Manus and the launch of AI Studio significantly expand the TAM by lowering technical barriers and embedding data into autonomous agent workflows. Furthermore, financial durability is improving, with 60% of ARR now under multi-year contracts and nine consecutive quarters of positive free cash flow. As lumpy evaluation deals convert into recurring revenue, the company is poised for a significant growth inflection, supported by a unique data moat that is difficult for competitors to replicate in the agentic era.
More Compelling & Why: Bear. SMWB trades at a depressed EV/Revenue multiple of approximately 2.0x (based on FY26 guidance), but this reflects a "value trap" given the structural decline in core metrics. The strongest argument is the 98% NRR combined with a decelerating 10% growth guide, which indicates the core SaaS business is failing to expand while the "lumpy" AI deals are too unpredictable to anchor a growth valuation. The Q4 miss due to deal timing highlights a lack of visibility. I would flip to Bull only if NRR returns to 103%+ and the two delayed 7-figure LLM deals convert into recurring ARR rather than one-time fees.

Key Factors5 rows

Key Factor	Why It Matters	What To Watch	What It Signals	Where/How To Track	Free Alt Data	Paid Alt Data
AI Studio Adoption and Self-Serve Conversion	AI Studio lowers the technical barrier for data access, potentially increasing the number of users per enterprise. Successful self-serve adoption drives high-margin incremental revenue and improves product stickiness.	Management's report on the number of customers adopting AI Studio (currently 'hundreds' in self-serve) and its impact on 'consumption-based' revenue components.	Bullish: AI Studio adoption exceeding 1,000 customers by mid-2026. Bearish: Management stops breaking out specific adoption metrics for the Studio suite.	Company Earnings Webcasts; Product update blogs on Similarweb.com.	YouTube/Social Media: View counts and engagement on 'Similarweb AI Studio' demo videos.	G2: Velocity of new reviews specifically mentioning 'AI Studio' or 'Chatbot interface'.
Sales Force Yield and Operating Margin Expansion	After a 'build year' in 2025 with heavy sales hiring, 2026 must demonstrate productivity. Shifting to an 'inbound-led' enterprise expansion model should drive non-GAAP operating profit growth.	Non-GAAP operating profit (Guidance: $16M-$19M for FY26) and Sales & Marketing expense as a percentage of total revenue.	Bullish: Q1 2026 operating profit exceeding $2.5M (high end of guidance). Bearish: Operating profit below $0.5M despite revenue growth, indicating poor sales efficiency.	Quarterly Shareholder Letters (Financial Highlights section); SEC Form 6-K.	LinkedIn: Tracking 'Similarweb' employee headcount changes, specifically in Sales and Account Management roles.	Thinknum: Monitoring the duration of 'Sales Representative' job postings (shorter duration may signal successful hiring/ramp).
ChatGPT and MCP Ecosystem Integration Milestones	Integrating Similarweb data directly into ChatGPT via the Model Context Protocol (MCP) opens a massive new distribution channel. It positions SMWB as the 'financial data equivalent' for digital market intelligence within AI workflows.	The official launch date of the Similarweb MCP integration within the ChatGPT interface and any subsequent usage-based revenue commentary.	Bullish: Integration live by the end of Q1 2026 with 'meaningful' initial traffic/queries reported. Bearish: Technical delays in MCP deployment beyond H1 2026.	OpenAI/ChatGPT Plugin/GPT Store listings; Similarweb Press Room.	GitHub: Monitoring the 'Similarweb MCP Server' repository for stars, forks, and developer activity.	Similarweb: Tracking referral traffic from chat.openai.com to similarweb.com.
Closing of the Two Slipped 7-Figure LLM Contracts	These two large, complex data training contracts caused the Q4 revenue miss. Closing them is critical to validating the 'Data Owner' thesis and proving that high-value AI deals can transition from the pipeline to recognized revenue.	Management commentary in Q1 2026 regarding the 'two large LLM data training contracts' that remained active in the pipeline as of February 17, 2026.	Bullish: Closing both deals in Q1 2026, potentially leading to a revenue beat against the $72M-$74M guidance. Bearish: Continued delays or a reduction in deal size/scope.	Q1 2026 Earnings Call and Shareholder Letter (Expected May 2026); Press releases regarding 'Strategic Data Partnerships'.	Google Trends: Search volume for 'Similarweb Data Licensing' or 'Similarweb LLM'.	Thinknum: Tracking job postings for 'Data Licensing' or 'AI Partnership' roles within Similarweb.
Net Revenue Retention (NRR) Recovery Threshold	NRR at 98% is a primary bear concern, suggesting core business friction. Recovery above 100% is necessary to prove that 'one-time' AI evaluation deals are successfully converting into recurring ARR.	The 'Net Revenue Retention' metric for all clients, specifically looking for a reversal of the downward trend toward the 100%+ level.	Bullish: NRR > 100% in Q1 or Q2 2026. Bearish: NRR remains at or below 98%, indicating structural churn or failure to expand AI trials.	Quarterly Earnings Presentations (Slide: Key Metrics); SEC Form 6-K filings.	G2 Crowd: Monitoring review sentiment and 'likelihood to recommend' scores for core Web Intelligence products.	Similarweb: Using the platform itself to track traffic to Similarweb's own login/pro domains as a proxy for user engagement.

Key Reported Metrics3 rows

Metric	Why It Matters	Last Period
AI-related Revenue	AI-related revenue now accounts for 11% of total sales and is the company's fastest-growing segment. Investors are tracking this to see if Similarweb can successfully pivot from a marketing tool to a critical AI infrastructure provider, especially following the Manus partnership and AI Studio launch.	~200%
Net Revenue Retention (NRR)	Currently at 98%, NRR is a significant concern for investors. Management expects improvement as one-time AI evaluation deals transition into recurring ARR. A move back toward 100%+ is necessary to validate the enterprise expansion playbook and the long-term value of the AI data moat.	98%
Total Revenue	After missing Q4 guidance due to delayed LLM contracts, investors are hyper-focused on revenue execution. Meeting or exceeding the 9% Q1 growth target is essential to prove that the pipeline of large-scale AI data deals is converting and that the core business remains stable.	11%

Key Questions

Will Similarweb successfully close the two large, 7-figure LLM data contracts that slipped from Q4, and can they convert these into recurring ARR to drive NRR b

Will Similarweb successfully close the two large, 7-figure LLM data contracts that slipped from Q4, and can they convert these into recurring ARR to drive NRR back toward 100%?

Question 2: Can the rapid scaling of new AI-first solutions like AI Studio and the Manus partnership meaningfully expand the user base and offset the ongoing growth pressure in core web search intelligence?
Question 3: Does the wider FY 2026 guidance range provided by the new CFO signal a conservative floor for outperformance, or does it reflect structural uncertainty in the timing of lumpy, complex AI data deals?

Rerating Thresholds3 rows

Metric	What'S Needed For Rerating	Why It Matters	Earnings Date
Remaining Performance Obligations (RPO)	RPO growth needs to accelerate to 30% or higher year-over-year, with current RPO (cRPO) growth exceeding 25%. Additionally, investors look for RPO to outpace revenue growth by at least 1,000 basis points to confirm a pipeline build that supports a return to 20% organic revenue growth.	As a leading indicator, RPO growth above 30% signals strengthening enterprise demand and longer contract durations. This provides the forward visibility required for a valuation multiple expansion, shifting SMWB from a value-play to a growth-rerating candidate as it approaches the 'Rule of 40' threshold.	2026-02-17
Total Customers	Similarweb needs to accelerate Total Customer growth to a range of 18-20% YoY (up from the current ~16%) and specifically drive the $100k+ ARR customer segment to 25%+ growth. For a significant rerating, the company must demonstrate a total customer count exceeding 5,500 while maintaining a Net Retention Rate (NRR) above 110% to prove enterprise scalability.	Accelerating customer acquisition validates Similarweb's AI-driven product roadmap and competitive positioning against peers like SEMrush. High-value customer growth drives operating leverage and predictable recurring revenue, which is essential for expanding the stock's EV/Revenue multiple and proving the sustainability of recent free cash flow profitability.	2026-02-17
Total Revenue	Total Revenue growth needs to accelerate to 18-20% y/y, consistently beating the current 13-15% trend. To trigger a rerating, SMWB must exceed the high end of FY2024 guidance ($248M+) and provide FY2025/2026 outlooks that signal a return to 20%+ growth, closing the gap with peer SEMrush.	Accelerating revenue toward 20% proves SMWB can capture market share in the competitive digital intelligence space. Sustained growth combined with recent positive free cash flow moves the company toward the 'Rule of 40,' justifying a valuation multiple expansion closer to high-growth SaaS benchmarks.	2026-02-17

Earnings Transcript Summary2 rows

2026-02-17 · 2025Q4 Earnings Call

3 Things Management Is Most Focused On	Call Takeaway & Tone	Prior Quarter'S Y/Y Growth By Segment	3 Things Analysts Most Pressed On (And Mgmt Responses)	Revenue Segments
1) Scaling AI-First Solutions: Launching the AI Studio and integrating data into AI agents (e.g., Manus partnership) to move from 'insights to action' for non-technical users. 2) LLM Data Licensing: Monetizing proprietary digital data for large-scale AI model training, targeting 7-figure multi-year contracts. 3) Enterprise Durability: Increasing the mix of multi-year ARR (now 60%) and focusing on the expansion playbook for customers generating over $100,000.	Takeaway: Similarweb is in a pivotal transition, shifting from a pure SaaS tool to a critical data infrastructure provider for the AI era; however, this shift is currently creating top-line volatility due to the timing of massive, lumpy data deals. Tone: Cautious and disciplined, with management sounding defensive regarding the revenue miss while remaining bullish on their long-term 'data moat.'	Total Revenue: 11% y/y growth (Q3 2025); App Intelligence ARR: reached $10M+ in Q3 2025. Year-over-year revenue growth remained stable at 11% compared to the prior quarter.	1) Q4 Revenue Miss and LLM Deal Delays: Analysts questioned why revenue fell below guidance. Management cited the delayed closing of two large, complex LLM data contracts that remain active in the pipeline. 2) Net Revenue Retention (NRR) Pressure: Analysts pressed on the 98% NRR. Management responded that one-time AI evaluation deals are not yet reflected in recurring metrics and they are upgrading sales talent to drive better expansion. 3) 2026 Guidance Philosophy: Analysts asked about the wider-than-usual guidance range. The new CFO explained they are taking a 'deliberately prudent' approach due to the lumpiness and timing uncertainty of large AI deals.	Total Revenue: 11% y/y growth; AI-related Revenue: ~200% y/y growth (reported as 3x increase); $100,000+ Customer Segment: 12% y/y growth.

2025-11-12 · 2025Q3 Earnings Call

3 Things Management Is Most Focused On	Call Takeaway & Tone	Prior Quarter'S Y/Y Growth By Segment	3 Things Analysts Most Pressed On (And Mgmt Responses)	Revenue Segments
1) Gen AI & LLM Data Monetization: Scaling the Gen AI Intelligence suite (Web Intelligence 4.0) and selling proprietary digital data to companies building LLMs. 2) App Intelligence Scaling: Driving adoption of the new App Intelligence product, which grew to over 580 customers and $10M ARR in six months. 3) Profitable Growth: Achieving the 8th consecutive quarter of positive free cash flow and raising FY2025 operating profit guidance through disciplined execution and AI-driven R&D efficiencies.	Takeaway: Similarweb is successfully pivoting its business model to serve the AI ecosystem, evidenced by 26% RPO growth and rapid milestones in App and Gen AI products. While core NRR is temporarily weighed down by the transition of LLM deals from 'testing' to 'recurring,' the company is demonstrating significant operating leverage. Tone: Confident, disciplined, and highly focused on the 'Phase 2' AI opportunity.	Total Revenue: 13% y/y growth (Q2 2025); App Intelligence ARR: reached $7M in Q2 2025. Total revenue growth decelerated from 13% to 11% y/y.	1) NRR (Net Retention Rate) Pressure: Analysts questioned the decline in NRR to 98%. Mgmt responded that expansion is currently driven by large onetime LLM data evaluation contracts that do not yet count toward ARR, but are expected to convert to recurring deals later. 2) Revenue Guidance & Linearity: Analysts asked why revenue guidance wasn't raised despite strong RPO growth. Mgmt explained that some LLM revenue originally expected in Q3 was recognized early in Q2, and they are focused on margin over aggressive top-line beats. 3) Sales Force Productivity: Analysts asked about the ramp of the 30% increase in sales headcount. Mgmt noted that yield is improving and a record number of reps are now closing deals.	Total Revenue: 11% y/y growth; App Intelligence ARR: reached >$10M (launched March 2025); Gen AI Intelligence ARR: reached >$1M (launched April 2025).

Transcript Tidbits2 rows

2026-02-17

About Expanding Eligible Market	About Competition	About The Broader Industry	Where Things Are Headed	Updates On Theme	Broader Themes Emerging	Bullish-Leaning Quotes (Short)	Bearish-Leaning Quotes (Short)	Hiring
AI-related revenue reached 11% of sales in Q4 2025, up from 8% in Q2. The company is expanding its Total Addressable Market (TAM) through a partnership with Manus (recently acquired by Meta), which provides access to millions of users beyond the core subscriber base. Additionally, the launch of 'AI Studio' lowers the technical barrier for data access, while the new Model Context Protocol (MCP) integration will soon bring Similarweb data directly into ChatGPT and other AI-native workflows.	Management acknowledges that the Generative Engine Optimization (GEO) and AI Engine Optimization (AEO) markets are becoming a 'red ocean' with many small players. However, they argue Similarweb is uniquely positioned as the only provider offering a 360-degree view across web, app, search, e-commerce, and advertising. They emphasize that their decade-long investment in a proprietary data moat makes their assets 'hard to replace' for competitors.	The industry is seeing a structural shift as traditional search traffic declines and brands migrate toward paid channels and AI chatbots to recover lost visibility. There is a growing industry standard emerging around the Model Context Protocol (MCP) for AI systems to access structured data. Management notes that AI models are only as strong as the data behind them, positioning digital market data as a strategic asset similar to financial data.	2026 is defined as a 'transformation year' where the company moves from building to scaling AI-first solutions. A dedicated go-to-market team has been formed to target LLM companies and large Big Tech players. The strategic goal is to move from providing 'insights' to 'agentic action,' where autonomous AI agents execute marketing and competitive assessments using Similarweb data.	Data	The emergence of 'Agentic Workflows' where autonomous AI agents perform complex strategic planning; the transition from human-centric dashboards to 'agent-first' data models; and the rise of 'Gen AI Visibility' as a critical new metric for brand sentiment within chatbots.	"AI-related revenue reached 11% of sales in the fourth quarter"; "60% of ARR is now multiyear, up from 49% a year ago"; "Manus... provides access to a much broader set of potential end users... expanding our TAM by empowering millions of users."	"Revenue... was below our guidance, mostly due to the timing of 2 large LLM data training contracts that did not close yet"; "NRR stabilized at 98%, and we are not satisfied with that level"; "We were not very happy with the performance and the investment we did [in sales]."

2025-11-12

About Expanding Eligible Market	About Competition	About The Broader Industry	Where Things Are Headed	Updates On Theme	Broader Themes Emerging	Bullish-Leaning Quotes (Short)	Bearish-Leaning Quotes (Short)	Hiring
Gen AI data and solution are expanding as a core growth driver; Gen AI Intelligence revenues are growing rapidly (ARR > $1 million since April); new products like Web Intelligence 4.0 and the MCP server deliver data-driven AI capabilities directly into AI agents and workflows; App Intelligence adoption is strong (580+ customers using it, ARR above $10 million); Similarweb covers over 4 million apps across 58 countries, underscoring broad data coverage; go-to-market investments are ramping (30% more sellers YoY) and the company remains focused on profitable growth.	Competitive dynamics include strong demand for Gen AI products and a belief that Similarweb can be a dominant player due to its unique data assets and client relationships; the model is a broad, horizontal play across brands, agencies, publishers, etc., with focus on Gen AI visibility; management notes not being overly concerned about competition and emphasizes market growth and education as the primary battleground.	The industry trend centers on leveraging proprietary, high-quality data to train and improve AI models and to embed AI into core workflows; clients want visibility into Gen AI performance and brand sentiment, and demand is broad across large enterprises seeking data-driven ROI from AI initiatives; leaders are keen to understand how Gen AI is impacting business and how data providers can support model development.	Management signals continued expansion of Gen AI data offerings and LLM data monetization, with the majority of big engagements expected to convert to ARR; reaffirmation of 2025 revenue guidance and higher profit guidance, plus ongoing positive free cash flow generation; pipeline remains strong with multiyear contracts, and the company plans to continue investing in GTM efficiency while scaling solutions like Gen AI Intelligence, data for LLMs, and AI agents.	Data	Data moats and embedding AI into existing workflows are becoming mainstream as demand for proprietary data grows; cross-sell across SMB and enterprise, multiyear contracts, and monetization of data-driven AI features are expanding beyond core products; market education and breadth of data assets are critical to capturing AI-driven growth.	"Revenue increased by 11% year-over-year to $72 million"; "Customer interest in our Gen AI data and solution is amazing"; "ARR from Gen AI Intelligence product is growing rapidly"; "The MCP is an exciting milestone in our deployment of data-driven AI products and services."	"ARPU declined slightly" (ARPU declined slightly even with the focus on upmarket customers); "the sequential add this quarter was kind of more on the lower side of what we've seen historically"

Earnings Results3 rows

RPO growth decelerated from 26% to 22%, failing the 30% acceleration trigger. The deceleration was driven by the delayed closing of two 7-figure LLM data contra

Metric	Prior Quarter	Rerating Trigger	Actual Reported	Hit Target?	Notes
Remaining Performance Obligations (RPO)	26%	RPO growth needs to accelerate to 30% or higher year-over-year, with current RPO (cRPO) growth exceeding 25%. Additionally, investors look for RPO to outpace revenue growth by at least 1,000 basis points to confirm a pipeline build that supports a return to 20% organic revenue growth.	$218.4 million (22% y/y growth)	No	RPO growth decelerated from 26% to 22%, failing the 30% acceleration trigger. The deceleration was driven by the delayed closing of two 7-figure LLM data contracts. However, management noted that multi-year ARR now represents 60% of total ARR (up from 49% last year), which provides a foundation for future RPO recovery once lumpy AI deals convert.
Total Customers	15%	Similarweb needs to accelerate Total Customer growth to a range of 18-20% YoY (up from the current ~16%) and specifically drive the $100k+ ARR customer segment to 25%+ growth. For a significant rerating, the company must demonstrate a total customer count exceeding 5,500 while maintaining a Net Retention Rate (NRR) above 110% to prove enterprise scalability.	6,150 total customers (12% y/y growth in $100k+ segment; 98% NRR)	No	While the total customer count exceeded the 5,500 threshold, the company missed all other components of the trigger. Growth in the critical $100k+ segment was only 12% (vs. 25% target), and NRR remained pressured at 98% (vs. 110% target). Management cited 'commercial execution shortfalls' and is restructuring the sales team to improve expansion yields.
Total Revenue	11%	Total Revenue growth needs to accelerate to 18-20% y/y, consistently beating the current 13-15% trend. To trigger a rerating, SMWB must exceed the high end of FY2024 guidance ($248M+) and provide FY2025/2026 outlooks that signal a return to 20%+ growth, closing the gap with peer SEMrush.	$72.8 million (11% y/y growth)	No	Revenue growth remained stagnant at 11%, missing the 18-20% acceleration target. The result was below management's own guidance due to the timing of complex AI data contracts. Furthermore, the initial FY2026 revenue guidance of 10% growth at the midpoint suggests the company does not anticipate reaching the rerating threshold in the coming year.

NotesTable

Date	Comment	Comment Type	Comment Sentiment	Link	IS CHANGE	Price Reaction
2026-02-17	Similarweb's Q4 results triggered a sharp 35% sell-off as revenue missed guidance due to delayed LLM data contracts. While AI-related revenue hit 11% of sales, stagnant 98% net retention and conservative 10% growth guidance for 2026 fueled skepticism. The market is penalizing the "lumpy" nature of AI deals and the lack of core business acceleration, contradicting management's "AI-driven powerhouse" narrative.	Earnings Transcript	Bearish	https://ir.similarweb.com/	False	-34.62% (vs SPY: -35.12%)