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Performance was driven by a healthy market backdrop where carriers remained profitable and focused on growing policies in force across both auto and home segments.

The company achieved record carrier and agent revenue, supported by the expected return of a major carrier to the marketplace and record-high local agent demand.

The home insurance vertical grew 35% year-over-year, benefiting from strong monetization of high-quality traffic and increased budget allocations from key carriers.

Smart Campaigns AI bidding solution saw revenue growth of over 100% year-over-year, with 7 of the top 10 carriers now utilizing the platform to optimize marketing spend.

Internal AI integration has reached an inflection point, with engineering efficiency increasing by 25% and the deployment of AI agents to identify friction in consumer web experiences.

Management is pivoting toward 'agentic traffic operations,' overlaying autonomous action on top of existing machine learning models to manage larger traffic portfolios with less human intervention.

Management reaffirmed its commitment to achieving $1 billion in annual revenue within the next 15 to 27 months, driven by share gains and broader solution portfolios.

Q3 guidance assumes a step-up in operating expenses of approximately $1 million to $1.25 million to fund targeted investments in AI-first products and strategic partnerships.

The company is developing new products purpose-built for AI search and agentic commerce to capture emerging traffic from large language models (LLMs).

Strategic focus for the second half of 2026 includes building AI-native growth solutions that allow carriers and agents to benefit from AI without building internal technology.

Adjusted EBITDA margins are expected to expand by approximately 100 basis points for the full year, despite planned increases in second-half operational spending.

The company repurchased 578,000 shares for approximately $9 million in Q2, with the Board expected to review a new authorization program later this year.

Management noted that while horizontal AI solutions often fail in the regulated insurance market, EverQuote's vertical-specific AI heritage provides a competitive moat.

The company maintains a 'fortress balance sheet' with $192 million in cash and no debt, providing flexibility for potential M&A to accelerate non-auto vertical growth or data acquisition.

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Carrier combined ratios in the 80s are driving high demand for growth, with a notable increase in appetite for homeowners insurance matching auto levels.

Agentic action on top of machine learning bidding is expected to improve both the effectiveness of traffic acquisition and operational efficiency.

Management reported no direct negative effect on paid search results from AI overviews and views LLMs as an incremental opportunity for organic traffic.

Strategy involves developing content for LLM queries, pursuing paid advertising on platforms like OpenAI, and technical integrations like the ChatGPT app.

Carriers are showing a higher willingness to pay and a greater openness to try new products due to intense pressure to grow policies.

This pressure has led to increased collaboration, with carriers now willing to provide the data integrations required for Smart Campaigns that they previously resisted.

Management clarified that they do not solve for VMM percentage but rather maximize Variable Marketing Dollars (VMD).

VMM in the high 20s is viewed as the optimal output for maximizing total dollar growth, and management will not trade off growth for higher margins in the current environment.