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  4. Similarweb Ltd. (SMWB) Q3 2025 Earnings Call Transcript

Similarweb Ltd. (SMWB) Q3 2025 Earnings Call Transcript

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SMWB
Similarweb Ltd
6.36 USD
+1.60%

Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

Overview

The earnings call provided mixed signals. Financial performance and guidance are stable, with positive free cash flow and disciplined cost management. However, the lack of a revenue beat and raise, unclear management responses, and a wider than usual Q4 guidance range introduce uncertainty. The Q&A reveals some execution challenges and vague responses, but also highlights potential growth in LLM data deals. Overall, the sentiment is balanced, with neither strong positive nor negative factors dominating, leading to a neutral prediction for stock price movement.

Key Financial Performance

Revenue Revenue increased by 11% year-over-year to $72 million. The growth was driven by a 15% increase in the customer base and increased revenues from new products launched in 2025, including App Intelligence and Gen AI Intelligence.

Customer Base Customer base grew 15% year-over-year to more than 6,000 ARR customers at quarter end. This growth contributed to the overall revenue increase.

Free Cash Flow Reported an eighth consecutive quarter of positive free cash flow, generating $3 million in Q3 with a 4% free cash flow margin. Over the past 8 quarters, $43 million of free cash flow was generated. This reflects efficient operations and a focus on profitable growth.

ARR from Gen AI Intelligence ARR from Gen AI Intelligence product grew rapidly to more than $1 million since its launch in April. This growth highlights strong customer interest in Gen AI data and solutions.

ARR from App Intelligence ARR from App Intelligence increased rapidly to above $10 million by the end of Q3. This growth is attributed to the strong adoption of the Similarweb App Intelligence launched in March.

Multiyear Contracts 58% of ARR is contracted under multiyear contracts, up from 45% last year. This demonstrates the durability of revenues and the importance of the company's data to its customers.

Remaining Performance Obligations (RPO) RPO totaled $268 million at the end of Q3, up 26% year-over-year. 68% of total RPO is expected to be recognized as revenue over the next 12 months.

Net Revenue Retention (NRR) Overall NRR was 98% across all customers and 105% for customers with over $100,000 of ARR. The decline in NRR reflects strong expansion activity in 2024, particularly from large contracts booked during the second and third quarters of last year.

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Operating Highlights

Gen AI Intelligence: Launched Web Intelligence 4.0 in October, integrating Gen AI capabilities. ARR from this product has grown to over $1 million since its launch in April.

Data Selling for LLMs: Supplying unique digital data to companies building LLMs and generative AI applications.

AI Agent: Rolled out AI agents to automate workflows and extract insights. 27% of Sales Intelligence customers use AI meeting prep and AI outreach agents.

Similarweb MCP Server: Launched in September to deliver digital market intelligence data into AI agents and workflows, supporting tools like Claude, Copilot, and OpenAI Agent Builder.

Similarweb App Intelligence: Launched in March, now used by over 580 customers with ARR exceeding $10 million. Covers over 4 million iOS and Android apps across 58 countries.

Customer Base Growth: Customer base grew by 15% year-over-year to over 6,000 ARR customers.

Multiyear Contracts: 58% of ARR is under multiyear contracts, up from 45% last year, indicating revenue durability.

Free Cash Flow: Reported eighth consecutive quarter of positive free cash flow, generating $43 million over the past 8 quarters.

Sales Team Expansion: Increased sales team by 30% compared to Q3 last year, leading to improved yield.

Profit Guidance: Raised non-GAAP operating profit guidance for 2025 to $8.5 million-$9.5 million, reflecting disciplined execution.

New CFO Appointment: Ran Vered to join as CFO in December, bringing over 20 years of finance experience and a track record in growth and strategic transformation.

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Risk or Challenges

Revenue growth dependency: Revenue growth is heavily reliant on new product launches and customer acquisition, which may not sustain long-term growth if market conditions or customer interest change.

Customer retention: Net Revenue Retention (NRR) has declined to 98% overall, indicating challenges in retaining customers, especially smaller ones, which could impact recurring revenue.

Competitive pressures: The company faces competitive pressures in the AI and digital intelligence markets, which could affect its ability to maintain or grow market share.

Economic uncertainties: Economic uncertainties could impact customer budgets and spending on digital intelligence solutions, potentially affecting revenue growth.

Operational execution: The company’s ability to scale its go-to-market investments and maintain operational efficiency is critical, and any missteps could impact profitability and growth.

Dependence on key personnel: The transition to a new CFO introduces risks related to leadership continuity and strategic execution.

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Guidance & Outlook

Revenue Guidance for FY 2025: The company is reiterating its revenue guidance for the full year 2025, expecting total revenue in the range of $285 million to $288 million, representing 15% year-over-year growth at the midpoint of the range.

Non-GAAP Operating Profit Guidance for FY 2025: The company is raising its non-GAAP operating profit guidance to between $8.5 million and $9.5 million, an increase from previous expectations and significantly higher than the guidance provided at the beginning of the year.

Free Cash Flow: The company plans to continue generating positive free cash flow on a quarterly basis going forward.

Remaining Performance Obligations (RPO): RPO totaled $268 million at the end of Q3, up 26% year-over-year. The company expects to recognize 68% of total RPO as revenue over the next 12 months.

Customer Growth and ARR: ARR from Gen AI Intelligence product has grown rapidly to more than $1 million since its launch in April. ARR from App Intelligence has increased to above $10 million. The company has also seen a 15% year-over-year growth in its customer base, reaching over 6,000 ARR customers.

Product Launches and Market Trends: The company launched Web Intelligence 4.0 in October, integrating Gen AI capabilities. It also introduced the Similarweb MCP server in September to deliver digital market intelligence data directly into AI agents and workflows. These initiatives are expected to drive future growth.

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Shareholder Return Plan

The selected topic was not discussed during the call.

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Key Q&A

Q:Can you discuss your gross revenue retention and the challenges in the upsell process?
A:The NRR reported is the average of the last 4 quarters of the past 12 months. Much of the expansion in the past 12 months came from engagement on data for LLMs, which often starts as one-time tests and later converts into ARR deals. This trend is expected to improve as more big deals in the pipeline convert into ARR deals.
Q:How is the pipeline for training data partnerships for LLMs evolving?
A:The process of selling training data for LLMs is long, involving tests and evaluations of historical data to improve model accuracy. Many engagements are expected to convert into ARR deals, as some have already done so with long-term commitments.
Q:Where are the customers for App Intelligence coming from? Are they cross-sell or net new?
A:The majority of customers are cross-sell. With over 6,000 customers already buying digital data, App Intelligence is an easy sell for them, as they often have both websites and apps. The product has been very successful and is expected to grow further with increased coverage and metrics.
Q:Why was the sequential add this quarter lower than historically seen?
A:Execution was good, but some contracts were booked earlier than expected in Q2, leading to non-linear phasing. If those revenues had been booked in Q3, the sequential improvement would have been more gradual.
Q:Why did ARPU decline slightly despite a focus on upmarket customers?
A:ARPU was impacted by the addition of customers, particularly larger ones with onetime contracts. While revenues increased, many new customers came in below the average ARPU. The focus remains on increasing customer count and upselling them over time.
Q:Is there any impact on demand for web intelligence due to SEO traffic decline?
A:No negative impact was observed. Companies experiencing less SEO traffic are turning to Similarweb to understand market positioning and drive traffic from other channels. The demand for Similarweb's solutions has increased due to these market changes.
Q:How is the sales rep ramp added a few quarters ago performing?
A:There has been quarter-over-quarter improvement in go-to-market execution, with a record high number of salespeople closing deals. The company continues to optimize for stronger performance.
Q:Why was there no beat and raise on revenue guidance this quarter?
A:The focus has been on optimizing EBITDA margin rather than revenue. Deal timing and linearity also played a role, along with a disciplined execution strategy.
Q:What is driving the incremental raise in margins?
A:Cost savings were achieved through disciplined execution, AI-driven productivity improvements, and optimizing the go-to-market strategy by retaining high-performing salespeople and letting go of underperformers.
Q:What customer conversations have you had around Gen AI products?
A:Customers are interested in understanding how Gen AI impacts their business and how to optimize their presence in this new channel. Similarweb is helping them gain visibility and insights into consumer sentiment and brand perception.
Q:Are you seeing any mix shift between enterprise and mid-market customers?
A:No change in the mix between SMB and enterprise customers was observed.
Q:Have you seen an uptick in competition, especially with new product launches?
A:While there is interest and demand for Gen AI products, Similarweb remains confident in its unique data sets and strong client relationships. The focus is on market growth and education rather than competition.
Q:Why is the implied revenue guidance for Q4 wider than usual?
A:The wider range is due to a strong pipeline of large deals, and the company wants to account for the timing of these deals materializing.
Q:What is driving the strong RPO metric and contract duration?
A:Success with multiyear commitments has driven the RPO metric. Currently, 58% of revenue comes from multiyear contracts, reflecting the value customers see in Similarweb's data.
Q:Why did sales and marketing expenses come in lower than expected?
A:The company overhired in Q1 to scale the go-to-market organization and later optimized by retaining high-performing salespeople. This process improved sales and marketing efficiency.
Q:What kind of big deals are in the pipeline?
A:The big deals involve selling data for LLM companies, which use Similarweb's digital data to train and develop their models. These engagements are long-term and critical for building LLMs.
Q:Review of Unclear Management Responses
A:Management avoided providing specific guidance for next year, stating that it would be given in the next quarter. Additionally, some responses, such as those about the implied revenue guidance for Q4 and the lack of a beat and raise on revenue, were somewhat vague and lacked detailed explanations.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI Intelligence
AI agent
AI meeting
AI outreach
AI solution
ARR Gen
ARR app
Agent Builder
Android apps
App Intelligence
Builder MCP
CFO Ran
CFO company
Claude Copilot
Copilot OpenAI
Gen AI
Instructions event
Intelligence ARR
Intelligence Gen
Intelligence end
Intelligence product
Intelligence suite
LLMs automation
MCP milestone
Offer Chief
Officer Yesterday
OpenAI Agent
Ran CFO
Ran year
SaaS enterprise
Utilization AI
adoption App
revenue
service
tool
workflow

SMWB Transcript

Similarweb Ltd. (SMWB) Q1 2026 Earnings Call Transcript
Positive5-13

The earnings call shows positive financial performance with a 10% revenue increase, improved gross margin, reduced net loss, and positive free cash flow. Despite forward-looking risks, the overall financial health appears strong. The absence of strategic and operational updates limits the overall positivity, but the financial metrics suggest a positive stock movement.

Similarweb Ltd. (SMWB) Q4 2025 Earnings Call Transcript
Positive2-18

The earnings call summary and Q&A indicate positive financial performance, with raised guidance for operating profit and continued positive free cash flow. Product development is strong, with new launches and AI integration. The market strategy is focused on expansion and customer growth. Despite some revenue misses due to delayed deals, guidance remains optimistic. Shareholder returns are not explicitly mentioned, but overall financial health and strategic positioning suggest a positive outlook. The lack of market cap information limits precise prediction, but the sentiment leans towards a positive stock price movement.

Similarweb Ltd. (SMWB) Q3 2025 Earnings Call Transcript
Unknown11-12

The earnings call provided mixed signals. Financial performance and guidance are stable, with positive free cash flow and disciplined cost management. However, the lack of a revenue beat and raise, unclear management responses, and a wider than usual Q4 guidance range introduce uncertainty. The Q&A reveals some execution challenges and vague responses, but also highlights potential growth in LLM data deals. Overall, the sentiment is balanced, with neither strong positive nor negative factors dominating, leading to a neutral prediction for stock price movement.

Similarweb Ltd. (SMWB) Q2 2025 Earnings Call Transcript
Positive8-13

The earnings call summary and Q&A reveal strong revenue growth, increased customer base, and improved operating margins. The introduction of new products, especially in AI, and a significant increase in multiyear contracts enhance revenue durability. While there were some unclear management responses, the overall sentiment from analysts was positive, particularly due to the robust pipeline and profitability improvements. The full-year guidance and strong free cash flow further support a positive outlook, likely leading to a stock price increase in the short term.

SMWB Report

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Frequently Asked Questions

Where does this earnings call transcript come from?

All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.

How soon is the transcript available after the earnings call ends?

Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.

Is the transcript edited or altered in any way?

No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.

Why do some answers appear as “Unclear” or “Inaudible”?

When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.

Who creates the AI Summary and Key Q&A highlights shown above the transcript?

They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.

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