For Shopify brands doing $2M–$30M+ GMV. CXI reads your Shopify store and tells you exactly where revenue walks out the door. You get a ranked list of specific fixes—each tied to where money is walking out and what to change first.
Real findings from your actual funnel. A backlog ranked by revenue. Briefs your team can ship. All in one place.
Plain-language findings from your real funnel—not another dashboard. Examples read like the product.
Your PDP for Trail Runner Pro converts 34% below similar PDPs in your catalog—trust and shipping clarity drop off above the fold.
You’re losing sessions before Add to Cart: value props and proof don’t match what buyers need at decision time on collection pages.
Queries like “vegan leather care” return zero results—estimated €4.1k/mo left on the table from high-intent searches.
AOV is capped on top sellers: Cushion Max carts rarely see Trail Runner Pro despite a 67% co-buy in the last 90 days.
Unexpected shipping cost is the top drop-off signal on mobile checkout—buyers abandon after the line item appears in step 2.
Hero CTA traffic doesn’t reach your best-margin category—above-the-fold story and first click path misalign with revenue mix.
Clear leaks. Clear fixes. Numbers attached—so you decide what ships next.
Ties conversion drops to the page, message, or step where buyers hesitate—so you stop A/B testing guesses.
Diagnoses, tests you ran, and outcomes stay in one place—so you don’t pay to rediscover the same leak twice.
Every item names what to change, where to change it, and estimated monthly upside—so your roadmap sorts by revenue.
Every tile answers: what should we ship next, and what does it move in revenue?
Each row is a concrete change on your store—what’s broken, why it costs you, what to build, and the upside if you fix it. Briefs are ready to hand to dev or agency.
CoPilot reads your funnel, catalog, and history together—so “why is AOV flat?” gets a specific product pairing and PDP placement, not a blog post.
Every diagnosis, shipped test, and measured outcome stays tied to your shop. New hires and new agencies ramp on what actually moved revenue for you.
Built from your last 90 days of orders: which SKUs pull others into the cart, which pairs show up together, and which first purchases predict repeat revenue.
Title, context, action, impact—the same shape as in the product, so there’s no mystery about what you’re buying.
No vague “AI magic”—just a clear path from diagnosis to dollars, with memory so you don’t repeat dead ends.
Pin the leak: page, product, or checkout step—with session and order evidence.
Turn findings into a build-ready brief: copy, layout, policy—ranked by upside.
Your team or agency implements; CXI tracks what changed in the live store.
Before/after on conversion and revenue—fed back so the next diagnosis is smarter.
Powered by AI · Every answer grounded in your store · No generic advice
This isn’t ChatGPT with a commerce skin. CoPilot is an AI layer trained on your Shopify reality—sessions, PDPs, on-site search, orders, and what you already shipped—so every answer is specific, ranked, and tied to money you can win or stop losing.
Every reply can pull from your real funnel, catalog, co-buy patterns, and leakage points. It’s the difference between “optimize your PDP” and “this hero SKU has no cross-sell despite a 67% co-buy rate.”
You get named pages, products, modules, and copy angles that match how your customers actually move—not recycled checklists that ignore your merchandising and traffic mix.
Responses point to estimated upside, confidence where the data supports it, and what to measure after you ship—so stakeholders see numbers, not opinions.
From “why is AOV flat this quarter?” to “what should we test before BFCM?”—iterate like you would with a senior CRO lead who already read your last 90 days of orders.
CoPilot knows what the engine flagged, what’s in your opportunity backlog, and what you already fixed or tested—so you don’t get repeated noise or contradictions.
Illustrative flow—grounded in your metrics & pages
Store, funnel, PDPs, on-site search, and basket behavior — diagnosed in one place. CXI reads your stack; it doesn't replace it.
"This analysis was an absolute jackpot for us — it confirmed the feeling we had that our store has structural problems. Now we know exactly which ones to fix first."
Most experiments fail because they tweak the wrong surface. CXI names the revenue leak first, then you test the fix that actually targets it.
The longer CXI runs on your store, the sharper it gets. Memory, closed-loop learning, and benchmarks built for brands in your category.
No feature gates—every plan includes the diagnosis engine, backlog, CoPilot, and product intelligence. Price scales with GMV; Early Adopters lock 50% off for life.
$10M–$30M GMV → $749/mo Early Adopter · $30M+ → Contact us · Agency plans available
I'm personally onboarding five US DTC brands for this beta—three spots are still open. In exchange for honest feedback and a LinkedIn testimonial if CXI delivers. No pitch deck. No long sales call. Just install and see what comes back.
Request a diagnostic →Or email saineynjai@gmail.com directly
See where revenue leaks, what to fix first, and what it’s worth—then brief your team with numbers stakeholders recognize.
Install CXI from the Shopify App Store—tracking starts without a science project.
Read your first diagnosis: leaks, PDP gaps, search misses, basket patterns.
Ship from a ranked backlog with briefs and estimated upside—then measure what moved.
3 of 5 beta spots left—install on Shopify and get findings in minutes. Beta includes six months free and locked Early Adopter pricing.
Get your store diagnosis →3 of 5 spots left · 6 months free · Early Adopter pricing forever · US DTC only
