A plugin that reads what your customers actually wanted before they left

Most analytics tools can tell you how many carts were abandoned.

Eagle Eye tells you what was happening inside them.

Someone views a product four times and never buys.

Someone adds two items, removes one, reaches checkout, sees shipping, and leaves.

Someone always trims the cart before ordering.

Someone comes back three days later and completes the purchase without needing a coupon.

These aren't just abandoned carts.

They're patterns.

And once you start reading them, the problems become obvious.

Here's what it actually looks like

Instead of seeing "cart abandoned," you see the road the customer was on:

Views phone → Adds phone → Adds case → Adds screen protector → Removes screen protector → Sees shipping cost → Leaves

That's one cart. When Eagle Eye sees that same path repeat across 12 sessions with $4,200 in attached cart value — it stops being noise and becomes something you actually fix.

Not "48 carts abandoned this week."

But "this specific sequence keeps breaking down, here's what it looks like, and here's what might be causing it."

What it found in the first week on a test store

• One product was being removed from 100% of carts it appeared in. Not abandoned — actively cut. That's a pricing or description problem, not a recovery problem.
• A second product kept appearing as a late add in 22 journeys. Classic impulse product — probably belongs as a checkout cross-sell, not buried in a category page.
• $117,806 in abandoned cart value was tied to a single product. That deserves recovery attention before any broad store changes.
• Google brought in $276,520 in left-behind value across 469 sessions. Worth comparing against other sources before scaling ad spend.

None of this required digging through session logs or exporting CSVs. It surfaced automatically, labeled by confidence level so you know what to act on and what to watch a little longer.

What's inside

• Roads to Success — journey patterns that repeat before orders complete. Reveals natural bundles and buying paths worth making easier.
• Failure Roads — journey patterns that repeat before customers leave. Turns "abandoned" into a specific, repeatable sequence you can actually fix.
• Checkout Friction Translator — connects checkout stops to likely store-level causes: shipping, payment friction, coupon doubt, mobile drop-off.
• Merchandising Clues — shows how customers naturally pair, compare, and swap products without saying a word.
• Lifetime Craving Profile — tracks customer behavior over time. Someone who's abandoned the same product three times isn't the same as a first-timer.
• Buyer Intent — recoverable cart value, active carts still showing intent, traffic quality. Bots excluded.
• Daily Reading — one plain-language summary of what deserves attention today.
• Confidence Labels — every insight is labeled: too early, emerging, useful pattern, strong pattern. Stops you from overreacting to noise.

The part we're most proud of

Eagle Eye doesn't just show you where customers stopped. It helps explain what may have stopped them — and whether the right move is a recovery message, a store fix, or doing nothing yet.

A customer who stopped after seeing shipping probably doesn't need a coupon. They need delivery clarity.

A customer who trimmed the cart before checkout may need a softer reminder, not a discount for the full original cart.

A customer who's come back three times to the same product may just need a nudge — not a 20% off code that trains them to wait next time.

The recovery screen shows which journeys match a proven buying pattern, what the suggested recovery angle is, and when timing makes sense.

It doesn't push you to contact everyone... it helps you figure out who's actually worth reaching.