FINALLY, A SMARTER WAY TO TURN CONTENT INTO REVENUE

Hatch helps you get from content to revenue, faster. It works across the Turtl platform to:

• Turn analytics into insight
• Turn insight into action
• Turn action into revenue growth

Unlike a chatbot, Hatch is fully integrated and fully focused. It’s designed to meet you where you are in your workflow, whether you’re creating new content, analyzing a campaign, or trying to figure out why a headline flopped.

1. Insight where it matters most

Hatch sits inside the Analytics Dashboard to make sense of what you’re seeing. It distills complex performance data into clear takeaways, compares results to benchmarks, and highlights where to focus next.

You still have access to all your filters and views, Hatch just pulls out the signal from the noise and adds context to the numbers.

Expect:

• A clearer view of what’s working
• Early warnings on what’s underperforming
• Actionable suggestions on what to do next

Dashboards are great, but knowing how to apply the information is what truly drives impact.

2. Support while you create

In the Turtl Editor, Hatch makes suggestions as you go. That includes:

Automatically translate content into any language while preserving your layouts and tone of voice. You can select a target language, apply translations to specific pages or the entire Doc, and set brand-specific rules to ensure consistent, on-brand content.

Generate on-brand media by training bespoke AI models using your pre-approved media library. By uploading 20-30 images of a consistent style, you can create a tailored AI model to generate new images perfectly aligned with your brand.

Find the perfect on-brand image by matching your content to pre-approved media in your library. You can let the AI suggest matches based on your content or provide a written prompt to describe what you need.

Use smart layouts helps you create on-brand layouts effortlessly by analyzing pre-set templates and transforming your raw text, media, and tables into designed pages. We’ll provide you with a ready-to-use on-brand template, with additional options for customizing your templates coming soon.

Use Turtl’s writing assistant as your content assistant, automatically rewriting your text with options to summarize, expand, adjust tone of voice, search and replace, and check grammar and spelling.

You still drive the creative, Hatch just makes it easier to drive with purpose.

3. Context across your content

Hatch gives you a clearer understanding of how your content performs and why it performs that way. It connects document-level engagement with content structure, topic, and metadata, helping you spot patterns that matter and apply them moving forward.

You’ll be able to:

• Identify which topics and chapters drive the most conversion
• See which formats and layouts hold reader attention
• Understand which segments are showing the strongest buying signals
• Feed top-performing tactics back into future content, automatically

This creates a continuous improvement loop, no spreadsheets, no guesswork, no analyst required.

Let’s address the question head-on. Some say AI will make dashboards obsolete. We don’t think that’s quite right.

Dashboards still serve an important role: they structure your data, show trends over time, and help teams build muscle memory around performance.

But what they don’t do is interpret. They don’t answer “why is this happening?” or “what should I change?”

Hatch doesn’t replace dashboards. It builds on them, making insight faster, clearer, and more accessible.

It’s not about replacing people, either. Hatch is here to support the human instinct, to sharpen good ideas, and to help you move with confidence.

• It saves time
• It surfaces things you’d miss
• It helps you prove your work is working
• It feels like a partner, not another interface
• It gives you confidence, even when the metrics don’t

And the best part? Hatch is already available to all Turtl users! No separate tool and no complex setup involved. Just better content and better outcomes, right where you’re already working.

Hatch was built for the teams feeling the pressure to deliver. The ones who don’t have time for guesswork, endless analysis, or rewriting content that didn’t land. The ones who need answers, insight, and impact, and fast.

With Hatch, you don’t just publish faster. You publish smarter.

You don’t just track performance → You learn from it.

And you don’t just create content → You build momentum.

Hatch is your always-on, insight-first revenue agent, and it’s already inside Turtl.

Let’s hatch something better.

What is revenue content?

Revenue content is B2B marketing content designed to contribute directly to pipeline and revenue, not just traffic or awareness. Rather than measuring success through clicks and pageviews, revenue content is evaluated against business outcomes: account engagement, deal progression, pipeline contribution, and closed revenue. For marketing teams accountable for growth, revenue content shifts the frame from content production to content performance — where every asset is expected to show measurable impact on the business. Turtl is the Revenue Content Platform built for this model, and Hatch is the AI agent that makes the cycle from content creation to revenue insight continuous.

What is Hatch and what does it do?

Hatch is Turtl's AI Revenue Agent, built directly into the platform to help marketing teams get from content to business results faster. Unlike a standalone AI writing tool or chatbot, Hatch works across three parts of the Turtl workflow: it analyzes performance data in the Analytics Dashboard to surface clear, actionable takeaways; it supports content creation in the Turtl Editor through translation, AI-generated media, layout suggestions, and writing assistance; and it connects document-level engagement data to content structure and topics to identify what drives conversion. 

How does AI help marketing teams prove content's impact on pipeline?

AI closes the gap between data and decision. Hatch analyzes content engagement data alongside performance benchmarks to identify which assets, topics, and formats are contributing to account movement and pipeline. It surfaces what is working, flags what is underperforming, and recommends next actions, so marketing teams can make a credible case for content's revenue contribution rather than reporting on pageviews and downloads. For teams running ABM programs, this means contact-level engagement data gets interpreted in the context of account stage, buying group activity, and deal progression, not just content analytics in isolation.

What is the difference between an AI marketing agent and a chatbot?

A chatbot responds to prompts in isolation, with no connection to your data or workflows. An AI marketing agent is integrated into your existing platform and acts on your actual performance data. Hatch is built into Turtl, which means it has access to your content analytics, engagement data, and performance benchmarks. It surfaces insights based on what is actually happening in your content program, not generic outputs from training data. The practical difference: a chatbot produces text on request; an AI agent produces recommendations grounded in your specific results and applies them where the work happens.

Does AI replace marketing dashboards and analytics tools?

No, and Hatch is not designed to. Dashboards serve a real purpose: they structure data, show trends over time, and help teams build shared understanding of performance. What dashboards do not do is interpret. They show what happened but not why, and they do not recommend what to change. Hatch builds on top of the Analytics Dashboard rather than replacing it. It adds the interpretive layer that turns numbers into direction, so marketing teams move from data to action faster without losing the structure and visibility dashboards provide.

How does AI improve content personalization for global and ABM campaigns?

Hatch supports personalization at scale through several creation capabilities in the Turtl Editor. Automatic translation converts content into any language while preserving layouts and brand voice, with brand-specific rules to maintain consistency across markets. AI-generated media is produced by training bespoke models on your approved image library, so generated assets align with your visual identity. Media matching suggests on-brand images based on content context or a written prompt. For marketing teams running global campaigns or ABM programs across multiple industries and verticals, these capabilities reduce the production time needed to create audience-specific content versions without manual design work on each one.