Companies Attentive

Attentive

Sydney, New South Wales, AUS

1,000 Total Employees

Year Founded: 2016

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Attentive Company Stability & Growth

Updated on February 06, 2026

This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.

What's the stability & growth outlook for Attentive?

Strengths in revenue scale, market standing, and product innovation are accompanied by past restructuring that introduced workforce volatility. Together, these dynamics suggest robust growth and competitive resilience, with prior resets remaining a consideration for long-term stability.

Positive Themes About Attentive

Strong Revenue Growth: Feedback suggests revenue scale and momentum are strong, with the company reporting it surpassed $500M ARR in 2024 and setting record peak-season results in 2025. Additional indicators like rising customer revenue influenced and higher message volumes point to continued topline expansion.
Strong Market Position & Advantage: Feedback suggests the company is widely regarded as a leader in AI-powered SMS/email marketing and conversational commerce, reinforced by repeated Cloud 100 placements and other accolades. A large brand roster and validated Two‑Tap patents further strengthen competitive positioning.
Innovation-Driven Growth: Feedback suggests product innovation is a core growth driver, with expansion from SMS into email, push, and RCS and the launch of AI solutions like AI Journeys and AI Pro. Collaborations such as with Google on RCS and patented list‑growth technology indicate ongoing innovation velocity.

Considerations About Attentive

Workforce Instability: Feedback suggests the organization experienced layoffs and reorganization in 2023 to recalibrate, indicating some workforce volatility during that period. While later growth resumed, these actions reflect a period of staffing instability.

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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.

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