Turtl launches Hatch AI to boost B2B marketing efficiency & ROI

Turtl has announced the launch of Hatch AI, a new content agent developed to assist B2B marketers in accelerating content creation, refining assets, and connecting content outcomes to pipeline and revenue objectives.

B2B marketing teams are currently experiencing heightened demands to increase results rapidly, often with limited resources. Economic uncertainty, increased buyer fatigue, and budget reductions continue to challenge marketers, leaving many struggling to reach performance goals. Turtl references research indicating that over half (52%) of marketers report minimal progress towards pipeline targets.

Content production remains a central factor in driving business growth for marketers, but increasing costs, slower turnaround times, and challenges in scaling have impacted operational efficiency. Traditional content platforms, according to Turtl, contribute to inefficiencies due to complex workflows and insufficient insight generation. As scrutiny on marketing budgets intensifies, with over four in five CMOs reporting heightened review of expenses, there is increased demand for efficient tools capable of delivering measurable returns on content investment.

Features of Hatch AI

Addressing these industry challenges, Turtl has developed Hatch AI, an integrated feature within its Revenue Content Platform. Hatch AI aims to reduce the gap between expenditure on content and the resulting revenue by providing tools for faster and more informed content creation and analysis. The agent offers several capabilities, including converting prompts, PDFs, or pasted text into publication-ready assets in a short time frame. It also provides editing enhancements such as AI-powered translations, custom media generation, and content refinement.

Hatch AI also delivers analytics that aim to bring clarity to content performance. By transforming complex engagement and performance metrics into actionable insights and recommendations, marketing teams can target underperforming content, scale effective strategies, and track progress confidently. The solution combines behavioural data, real-time intent signals, and revenue metrics to provide detailed analysis that connects content efforts directly to commercial outcomes.

Industry pressures

With increased pressure on marketers to deliver quantifiable results quickly and efficiently, platforms that streamline both production and measurement are becoming increasingly vital. This is especially relevant as teams are expected to maintain or increase output levels despite reductions in headcount or resources. Marketers require systems that give direct feedback and actionable steps to optimise campaigns without requiring extensive manual analysis.

"Marketers are being asked to drive more growth with fewer resources and less time. We built Hatch AI to help them do exactly that. Hatch is a practical partner for teams who need to move fast, stay sharp, and prove content's pipeline and revenue impact every step of the way."

These comments from Nick Mason, CEO and Founder of Turtl, reinforce the company's focus on creating solutions tailored to the realities faced by modern marketing teams. Mason describes Hatch AI as both a tool and partner for teams navigating increased demands on performance and accountability.

Accessible analytics

Hatch AI aims to reduce reliance on multiple disconnected analytics dashboards and data sources that can sometimes provide overwhelming or irrelevant information. By delivering insights in plain language and offering next-steps based on real behaviour and outcomes, Hatch AI supports both day-to-day action and longer-term strategy. According to Turtl, this approach frees marketing teams from spending excessive time on manual analysis, allowing more time for strategic planning and creative work.

As marketing leaders allocate tighter budgets and anticipate greater performance expectations, tools such as Hatch AI are positioned as responses to these demands for efficiency, clarity, and demonstrable impact. The introduction of these systems is part of a broader trend towards using automation and artificial intelligence to improve both operational speed and effectiveness in marketing functions.