Changelog
Follow up on the latest improvements and updates.
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Details:
- The Sign up event is now included in the Facebook destination, supporting both Server-side (CAPI) and Browser-side (Pixel) tracking.
- This complements existing events such as Page Viewed, Product Viewed, Added to Cart, Checkout Started, Payment Submitted, and Checkout Completed.
- With this update, user registration actions can be captured and attributed more accurately, providing a complete view of the user journey.
Impact:
- Improved visibility into new user registration events.
- Enhanced tracking for full-funnel conversion analysis.
- Enables better attribution and campaign performance measurement across channels.
Details:
Traffic that qualifies for both Google Ads and Impact/ ShareASale will now be attributed to the affiliate channel rather than Ads.
This ensures that visits driven by affiliates using Impact or ShareASale links are correctly classified, reflecting the true source of payment. In other words, attribution now respects that the advertiser is paying the affiliate, not the ad platform.
The priority order is now: Influencer > ShareASale/Impact > Paid Ads > Other Channels.
Impact:
- More accurate affiliate attribution.
- Reduces misclassification of affiliate-driven paid traffic.
- Improves reporting and commission calculations for affiliate campaigns.
AllyClaw Email Agent is currently in early testing. We believe that generating 1:1 recovery emails based on shopper buying intent is the future. Please contact us to join the waitlist; we will provide qualified merchants with one month of free testing. Learn more
You can now view New Customer Revenue and Returning Customer Revenue in Attribution-All.
- New Customer Revenue shows revenue from a customer’s first order.
- Returning Customer Revenue shows revenue from repeat orders from the same customer.
These metrics are optional and hidden by default. You can turn them on from the “Edit columns" selector.
The API documentation has also been updated accordingly.
AllyClaw now works across Claude, ChatGPT, and the Attribuly interface, so teams can analyze Shopify and ad account performance in the workflow that fits them best.
Connect your Shopify and ad accounts, add Attribuly API, install skills, and ask anything in your preferred workflow.
- Use AllyClaw where you work：Access AllyClaw in Claude, ChatGPT, or directly in Attribuly.
- Natural-language analysis：Ask questions in plain language and get answers based on connected Shopify and ad account data.
- Attribuly attribution as the source of truth：Compare platform-reported results with Attribuly attribution for more reliable performance analysis.
Try AllyClaw in Attribuly：https://app.attribuly.com/cherry/#/ally-claw
See how to connect Claude/ChatGPT to Shopify, Google Ads, and Meta：https://attribuly.com/how-to-connect-claude-to-shopify-google-meta/
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.
After selecting the Full Impact model, you can see which touchpoints in the customer journey are predicted by AI.
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