Similarweb(US:SMWB)2025-11-12 14:30Financial Data and Key Metrics Changes - Revenue increased by 11% year over year to $72 million, in line with expectations [4][10] - Customer base grew 15% year over year to over 6,000 ARR customers at quarter end [4] - Reported an eighth consecutive quarter of positive free cash flow, generating $43 million over the past eight quarters [8] - Normalized free cash flow for the quarter was $3 million, with a 4% free cash flow margin [11] - Remaining performance obligations (RPO) totaled $268 million at the end of Q3, up 26% year over year [11] - Net revenue retention (NRR) was 98% across all customers and 105% for customers with over $100,000 of ARR [11] Business Line Data and Key Metrics Changes - ARR from GenAI Intelligence products grew rapidly to over $1 million since the launch in April [5] - App Intelligence ARR increased rapidly to above $10 million, with over 580 customers using the product [6] - 58% of ARR is contracted under multi-year contracts, up from 45% last year, indicating revenue durability [10] Market Data and Key Metrics Changes - The company launched Web Intelligence 4.0, integrating GenAI capabilities into its web intelligence solution [5] - Digital app data now covers over 4 million iOS and Android apps across 58 countries, providing comprehensive data coverage [6] Company Strategy and Development Direction - The company is focused on three high-impact opportunities: GenAI intelligence, data selling for LLM, and AI agents [4][5] - The investment in go-to-market strategies is ramping as planned, with a 30% increase in sellers compared to the previous year [8] - The company aims to deliver profitable growth over time while achieving long-term profit and free cash flow targets [8] Management's Comments on Operating Environment and Future Outlook - Management reiterated guidance for 2025 revenues and raised profit guidance for the year due to disciplined execution [4][12] - There is strong customer interest in GenAI data and solutions, which are among the fastest-growing revenue streams [4] - Management expressed confidence in converting current engagements into ARR deals, particularly in the LLM space [15][16] Other Important Information - The company is preparing for the arrival of a new CFO with over 20 years of finance experience [9] - The company is seeing initial good signs of monetization from the new pricing schema for Web Intelligence [29] Q&A Session Summary Question: Can you talk about your gross revenue retention? - Management noted that NRR reflects expansion activity primarily from large contracts booked in previous quarters, which will convert into ARR deals over time [14][15] Question: Can you discuss the evolution of LLM training data partnerships? - Management confirmed that the process of converting data purchases into long-term relationships is lengthy but expressed confidence in future conversions [17][18] Question: Where are App Intelligence customers coming from? - The majority of App Intelligence customers are cross-sell from existing clients who trust the company’s digital data offerings [20][21] Question: Why did RPU decline slightly despite focusing on up-market customers? - RPU was impacted by the addition of new customers, particularly larger ones, which may not have contributed significantly to ARR yet [27][28] Question: What is the impact of declining SEO traffic on demand for web intelligence? - Management observed an increase in demand for solutions as companies seek to fill gaps from declining SEO traffic [29][30] Question: How is the ramp-up of sales representatives progressing? - The company is seeing improvements in go-to-market execution and higher participation from salespeople in generating revenues [31][32] Question: What is driving the lower costs in sales and marketing? - Cost savings are attributed to optimizing sales rep productivity and letting go of underperforming hires while retaining successful ones [36][57] Question: Can you characterize the big deals in the pipeline? - The company is seeing success in selling data for LLM companies, which are critical for building and training models [60][61]