What it means: You can now manage access to specific tool pages (e.g., the full Attribution module vs. only its Billing sub-page) instead of all-or-nothing access.

- Navigate to Team Settings → select a team member → click the Access Control (shield) button to open a module tree view.

- Use "Select All Pages" for quick full access grants/revokes, or expand categories (via arrow) to toggle sub-permissions (e.g., let analysts access Attribution data but restrict them from billing settings).

- Changes take effect immediately (users may need a page refresh/logout for full UI updates).

What it means: Selecting a parent module (e.g., Retargeting) auto-selects its sub-features; deselecting a sub-feature marks the parent as "partially accessible." This prevents accidental over-granting of access.

What it means: Every team member can check their own access rights in read-only mode to avoid 403 errors or missing menu items.

We have added a critical template to address iOS 26’s privacy mode changes that remove Google’s gclid, wbraid, and gbraid parameters—plus Bing’s msclkid parameter—from ad tracking data.

Here’s what this means for you (no deep tech jargon required):

Why this matters: iOS 26’s privacy shifts risked blurring ad performance visibility for eCommerce brands. Our template ensures you keep leveraging actionable ad data without compromising compliance—so you can keep optimizing campaigns and growing revenue with confidence.

All Channel Attribution (our tool that maps which ads actually lead to orders, so you can avoid wasted spend on low-impact campaigns) now lets you select a "Compare to" filter with three new options:

In the world of DTC marketing, data discrepancies are the silent budget killers. You’re likely optimizing based on what ad platforms you happened, not what happened.

Meet —the first Profit-First Multi-Agent System built on a foundation of indisputable truth: Attribuly's Shopify-native pixel data. Ally isn't just another dashboard; it's a proactive co-pilot designed to maximize LTV and profit, not just vanity metrics.

Most optimization tools are reactive. Ally AI is proactive, leveraging a specialized multi-agent system to tackle specific inefficiencies in your marketing funnel. Here is how we stand apart:

Most tools offer reporting & automation, but they often rely on data streams that can be fragmented or biased by platform-specific attribution models.

* Ally is grounded in Attribuly’s 1st-party server-side pixel data. We see every order, every touchpoint, and every dollar of profit—even the ones ad platforms miss (or claim falsely). You aren't optimizing for "Reported ROAS"; you're optimizing for .

Ad platforms are incentivized to get you the next click. We are incentivized to get you the most valuable customer.

* Scaling ads often leads to lower quality customers who churn quickly.

* The agent doesn't just look at immediate conversion value. It identifies ad sets bringing in high-LTV customers and suggests budget increases (e.g., +20%) specifically for those cohorts, ensuring you scale sustainable growth, not just revenue.

One algorithm cannot solve everything. Ally employs a squad of specialized agents:

* Identifies ads that Facebook/Google report as "losers" but are actually driving profit based on multi-touch attribution.

* Spots retargeting ads that are claiming credit for sales that would have happened anyway (e.g., via email or organic search).

* Monitors when competitors bid on your brand terms and drive up your CPCs.

Standard AI tools often give generic answers. Ally AI possesses capabilities, allowing it to thoroughly analyze your unique data context and business specificities.

* By deeply understanding the nuance of your questions and problems, Ally moves beyond surface-level metrics to provide high-quality, actionable answers that address the root cause of your performance issues.

While the is the core of our vision, we want to be clear about its current status:

*

* You cannot yet "set and forget" the autonomous agents to manage your bids in real-time.

* The underlying —the high-quality attribution data, the LTV tracking, and the profit analytics—is fully live. You can start building the "Truth Foundation" today, so when the agents fully launch, they have the historical data needed to perform on day one.

Don't wait for the future of AI optimization—start preparing your data for it now. Join the visionary brands using Attribuly to see what’s really happening in their business.

Experience the difference of data that works for , not the ad platforms.

We’re now factoring in users’ display ad views before they click your Branded search ads. Here’s why this matters:

🔍 : Before, it was hard to tell if your search ads drove sales of earlier display campaigns. Now, our system “connects the dots” — so you’ll see if that Meta carousel ad actually led to a Google search. This helps you reallocate budget to top-performing awareness campaigns.

📉 : Misattributing sales meant you might overspend on search ads thinking they worked alone. With this update, you’ll avoid double-counting and optimize spend across channels.

💡 : A clothing brand using our tool noticed their Meta ads (awareness) drove 30% of their Google search traffic. They shifted 20% of their search budget to Meta and boosted ROI by 15%.

Ready to see where your revenue comes from? Reach out to us today!

Simply put, it’s how much revenue a customer will bring your brand over their entire relationship with you. Think of it as the “lifetime score” of each customer acquired through your ads—critical for understanding which channels deliver lasting value vs. one-time spikes.

✅ : Instead of chasing short-term ROAS (Return on Ad Spend), allocate budgets to channels that deliver high-LTV customers. For example, if Instagram Ads drive customers who spend $500 each over 2 years, while TikTok Ads bring in $100 one-time buyers, you’ll know where to invest.

✅ : The new table display formats LTV in your team’s currency and supports sorting—so you can quickly spot top performers. The summary row calculates the weighted average LTV, giving you a bird’s-eye view of overall channel profitability.

✅ : See the LTV of customers attributed to each channel side-by-side in the Attribution table. For instance, if Facebook Ads show a $300 LTV vs. Google Ads’ $250, you can adjust bids or creatives in real time.

:

🔍 Head to the “Edit columns” selector and add “LTV” to your view.

💡 Hover over the header to see the formula: Total Historical Sales / Unique customers.

#AttributionInsights

If you’ve ever spent hours manually uploading influencer data or tracking links—we’ve got news for you. Attribuly now supports for our Influencer and Link Builder modules. Here’s why this matters for your eCommerce brand:

Imagine you’re scaling a holiday campaign across 50 influencers. Instead of inputting each link, UTM tag, and spend manually…

✅ (download our template directly in the app).

✅ —the system processes data in the background.

✅ (total records, successes, and errors).

This feature is designed to expand the capabilities of the data attribution system by adding identification and parsing support for traffic originating from Amazon DSP (Demand-Side Platform).

The system parses the att_source(add att_source=amazon on every link of your Amazon Linkout ad) field in the URL query parameters to accurately classify specific Amazon traffic as Ad Channel.

Corresponding platform identifiers are attached to the classified traffic for clear distinction and tracking.

We will collaborate with the Amazon DSP team to attribute organic traffic and brand advertising traffic to Amazon display ads via our robust Full Impact view attribution model, aiming to fully explore the impact of CTV and other types of exposures on conversions.

🚀 Overview

Attribuly now officially supports integration with Awin, a leading affiliate marketing network. This update enables DTC brands to seamlessly ingest Awin performance data into Attribuly’s full-funnel attribution system, delivering a more complete view of cross-channel marketing effectiveness and true ROI.

✨ Key Features

Automated Data Sync: After authorization, Attribuly automatically pulls core Awin metrics—including campaigns, publishers (affiliates), clicks, and commission data.

Attribution Integration: Conversions from Awin are included in Attribuly’s multi-touch attribution models (e.g., first-click, last-click, linear, position), enabling accurate assessment of affiliate marketing’s role in the customer journey.

Unified Reporting: Awin performance appears alongside other channels (e.g., Meta, Google Ads) in Attribuly dashboards, enabling cross-channel comparison and data-driven budget reallocation.

Serveer-side tracking: Configure the conversion feed to post back conversion data to Awin. This allows Awin to validate commissions based on real checkout events.

We have added an overview module, so you can see the consumption of various events in the current billing cycle, as well as ROI (for Klaviyo destination and Capture)