March 2026

Meet AllyClaw, an AI marketing operator for DTC brands powered by OpenClaw and built-in skills.

AllyClaw connects with your attribution data and helps analyze performance across channels, creatives, funnels, and customer behavior. It can surface profit-focused insights, identify wasted spend, and recommend next actions based on your marketing goals.

With AllyClaw, you can:

• analyze channel and creative performance
• monitor funnel and customer metrics
• detect issues and opportunities faster
• get AI-supported recommendations while staying in control

AllyClaw is built for modern e-commerce teams and works with attribution data from your existing stack.

You can now see how different channels contribute across the full customer journey, not just the final conversion step. Touchpoints Analysis breaks each conversion path into three stages:

• Early Touchpoints: the first 25% of interactions, where customers discover your brand
• Mid Touchpoints: the middle 50%, where customers continue engaging and considering
• Late Touchpoints: the last 25%, where conversions happen This helps you understand which channels introduce demand, which ones nurture it, and which ones close it. The report is available in Attribution > Conversion Path, with a visual breakdown at the top of the page. Hover over each stage to view total value, active channels, top contributors, and calculation logic. You can also switch the analysis between Channel and Campaign using the Dimension filter.

You can now identify traffic from AI assistants and AI search platforms such as ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok, Kimi, and more. When shoppers discover your brand, compare products, or get recommendations inside AI tools and then click through to your store, Attribuly can classify that visit as Agentic Shopping. This helps you separate AI-driven traffic from organic search, paid ads, social, email, and other channels. How it works: Attribuly detects Agentic Shopping mainly through:

• supported AI referrers
• utm_source
• utm_platform For the most reliable reporting, we recommend using full UTM parameters, such as: utm_source=chatgpt&utm_medium=agentic_shopping&utm_campaign=spring-launch&utm_platform=chatgpt Once set up, you can validate it in real-time events or reporting and confirm the visit is classified as Agentic Shopping.

You can switch to Chinese or English by clicking on the language tab.