Thryv launches AI-native growth platform for small businesses
Thryv launches an AI-native growth platform for local service businesses, aiming to boost visibility and revenue. Internal data shows a 40% revenue lift and 1.5x lead conversion for users of AI Lead Insights. The platform integrates with FSM tools like Jobber and offers a free trial.

*this image is generated using AI for illustrative purposes only.
Thryv (NASDAQ: THRY) launched its new AI-native growth platform on August 4, 2026, marking a strategic pivot from directory services to an AI-driven SaaS model for more than 100,000 small businesses globally. The platform aims to solve critical growth challenges for local service providers by improving online discoverability, identifying high-value leads, and providing clear ROI metrics on marketing investments. This shift positions Thryv to compete directly with broader digital marketing tools by offering specialized, AI-powered solutions tailored to the operational workflows of service-based businesses.
The platform combines proprietary AI software with optional expert marketing assistance from Thryv. Key features include a Digital Marketing Score to elevate brand visibility across search engines, maps, and social media, as well as AI-powered websites and social posts. Additionally, the platform introduces 'Boosts' campaigns managed by experts and AI to target customers likely to buy, and AI Lead Insights™ which provide intent scoring, conversation summaries, and recommended actions. Thryv also announced new integrations with leading field service management (FSM) platforms, including Jobber, to ensure a consistent flow of AI-driven leads into existing business workflows.
Early results from internal analysis highlight the platform's potential impact on customer revenue. Data from approximately 6,000 potential customers active in the Thryv Marketing Center and Thryv Business Center systems between January 1 and April 22, 2026, shows significant performance gains. Businesses utilizing AI Lead Insights generated 40 percent more revenue per client compared to those not using the feature. Furthermore, these businesses converted leads at 1.5 times the rate of non-scored leads within the same dataset. A free 30-day trial is available for new users.
Case Study: Mr. Mini Split
Mordechai Phelps, owner of Mr. Mini Split in Hudson Valley, New York, reported substantial growth after adopting the platform. From March 1, 2026, to June 1, 2026, his business generated $600,000 in gross revenue, representing a 400 percent increase over the same period last year. Phelps noted that job volume increased from three or four jobs per month to five or six jobs per week within three weeks of signing up. Additionally, his customer reviews doubled from 30 to 60 while maintaining a 5-star rating, and he reported saving at least an hour and a half daily through automated assistance.
| Metric | Performance | Source Period |
|---|---|---|
| Revenue per client | 40% higher | Jan 1 – Apr 22, 2026 |
| Lead conversion rate | 1.5x higher | Jan 1 – Apr 22, 2026 |
| Gross revenue (Case Study) | $600,000 | Mar 1 – Jun 1, 2026 |
| YoY Revenue Growth (Case Study) | 400% | Mar 1 – Jun 1, 2026 vs prior year |
Strategic Implications
Grant Freeman, president of Thryv, emphasized that small businesses seek measurable results rather than just marketing tools. "We redesigned our platform to combine AI revenue insights, expert marketing support and CRM integrations all in one connected platform," Freeman said. The launch reflects Thryv’s mission to democratize access to AI-powered marketing tools previously reserved for larger brands. By integrating AI insights with expert support, Thryv seeks to improve the efficiency of marketing spend for local service businesses, potentially increasing customer lifetime value and reducing churn through demonstrable ROI.
How might Thryv's integration with field service management platforms like Jobber influence competitive dynamics among existing SaaS providers in the local services sector?
What are the potential risks to customer retention if the 40% revenue uplift observed in early trials does not scale consistently across the broader user base?
Could the shift to an AI-native model expose Thryv to new regulatory or data privacy challenges regarding lead scoring and customer intent analysis?

























