For Ecommerce Brands
Grow Revenue Without Hiring More People
Shopify and DTC brands use Copac AI to get the strategic guidance of a growth team — at a fraction of the cost — and act on it every day.
The insight of a growth team — without the headcount
Hiring a senior growth manager or analytics consultant costs thousands a month. Copac AI gives you daily, data-backed direction on what to do next, so you can make faster decisions without expanding the team.
- Daily analysis across Shopify, Meta, Google, and GA4
- Recommendations prioritized by impact and confidence
- Plain-language AI chat to dig into any question
Find hidden growth across channels
Opportunities rarely sit in one dashboard. Copac connects acquisition, store, and product data to surface the moves that actually move revenue — reallocating budget, scaling what's working, and doubling down on high-LTV products.
Improve profitability, not just revenue
Product-level margin analysis flags low-margin SKUs eating your ad budget and high-margin heroes that deserve more. You grow the bottom line, not just the top line.
Reduce risk before it gets expensive
Campaign fatigue, checkout conversion drops, and stock-out risk are detected early — while there's still time to act, not in next month's report.
Sample analysis
Your AI Might Tell You…
Every recommendation reads your data, explains what changed and why, then tells you exactly what to do — with the projected impact, a confidence score, and how hard it is to ship. Illustrative examples.
Over the last 14 days your Meta prospecting ROAS fell from 2.4x to 1.5x (−38%) while frequency climbed from 2.1 to 3.4 (+62%) and CPA rose 29% to $41. The pattern — falling returns with rising frequency on a flat audience — is creative fatigue, not a budget problem. Pushing more spend here will keep raising CPA.
Recommended action
Pause the +20% budget increase on the Prospecting – Broad campaign. Launch 3 new creative variants against the same audience, then re-scale only the variant that holds ROAS above 2.0x for 3 consecutive days.
Google Shopping spend rose 22% this month and revenue tracked up with it, but blended profit dropped 9%. 71% of the added impressions went to 3 SKUs with sub-15% margins, while your 40%+ margin hero products lost impression share. You're scaling the wrong end of the catalog.
Recommended action
Split Shopping into margin-tiered campaigns and cap bids on the 3 low-margin SKUs. Shift the freed budget to the 40%+ margin products that already convert above account average.
Checkout conversion dropped from 64% to 52% (−18%) in the 6 days after your free-shipping threshold moved from $50 to $75. Sessions and add-to-carts are unchanged, so demand is fine — customers are abandoning when the new shipping cost appears at checkout. At current traffic that's ~120 lost orders/month.
Recommended action
A/B test a $60 threshold against the current $75, and surface the 'spend $X more for free shipping' nudge on the cart page before checkout. Roll out the winner after 2 weeks.
Customers who buy Product X repurchase at 41% within 60 days vs. a 31% catalog average (+32% relative), and their 90-day LTV is $128 vs. $94. It only receives 4% of ad budget today, so a strong retention engine is starved of acquisition spend.
Recommended action
Build a dedicated prospecting campaign around Product X as the entry offer and add it to your post-purchase cross-sell flow. Start at 10% of paid budget and scale on repeat-rate, not first-order ROAS.
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