Shopify Ad Attributionv1.0.0

An online store using Meta and Google ads wants to know which channel truly drives profit. By exporting Shopify order UTM data and ad spend, the agent calculates last-click, linear, and time-decay ROAS, revealing that Meta drives discovery but Google captures conversions, leading to budget reallocation.

A marketing team suspects last-click overcredits Google. The agent compares multi-touch models, showing that Meta and TikTok have higher assisted conversion value, justifying increased upper-funnel spend.

A CFO needs true profitability per channel. The agent computes net profit ROAS after COGS and fees, identifying that Google Ads barely breaks even while Email has high profit ROAS, prompting a shift in strategy.

A subscription box service uses LTV-adjusted ROAS to factor repeat purchases. The agent multiplies first-order ROAS by repeat purchase multiplier, showing that TikTok acquires high-LTV customers despite lower initial ROAS.

Spike in direct traffic with no organic explanation. The agent flags UTM tag breakage in a recent email campaign, allowing the team to fix tracking and recover attributed revenue.

Brands selling directly via Shopify with multiple ad channels. The agent helps optimize ad spend by attributing revenue accurately, improving ROAS and profit margins.

Marketing agencies managing ad accounts for multiple Shopify stores. The agent generates audit reports per client, proving channel performance and justifying budget recommendations.

Stores selling expensive items (e.g., furniture). The agent's time-decay model captures longer purchase journeys, revealing that Meta and email nurture leads while Google closes sales.