Women's boutique apparel demo
See how Abando reads shopper behavior
and turns it into recovered orders.
This demo uses a women's boutique apparel store as an example. In production, Abando watches what shoppers view, search, and leave in their cart, then turns those sessions into a few clear shopper patterns instead of treating everyone who abandoned the same way.
1 · Why segments instead of "everyone who abandoned"?
Some shoppers are almost ready. Others are still browsing.
Not every abandoned cart is the same. Some shoppers are checking outfits on their phone at work. Others park items while they wait for payday. Treating them all the same leads to noisy discounts and trained bargain hunters. Abando keeps your strategy simple and targeted instead of shouting at everyone.
2 · Three high-impact patterns in this boutique demo
Today's key patterns in this boutique demo
Names are just for clarity, not jargon. Each pattern is a different kind of hesitation Abando knows how to respond to.
Pattern 1 · Cart parkers
They park pieces "to think about it"
Shopper likes the item but isn't sure about fit, occasion, or total spend. They're mentally trying on outfits and need reassurance more than a bigger coupon.
How Abando responds
Sends a delayed nudge like "Still love this look? Here's how other customers styled it" instead of a generic 10%-off blast.
Pattern 2 · Size checkers
They bounce between sizes & size charts
Fear of ordering the wrong size—especially on dresses, denim, and fitted tops. They pause until they feel confident they won't have to deal with returns.
How Abando responds
Plays that lead with sizing confidence and fit proof (reviews, photos, try-at-home messaging) instead of pure discounts.
Pattern 3 · Drop watchers
They wait for new arrivals or a better deal
Shopper is engaged but waits for a signal—new drop, low-stock alert, or limited-time offer—before committing.
How Abando responds
Gentle urgency plays tied to low-stock sizes, bundle suggestions, or "last chance for this collection" instead of constant promos.
3 · What this means over a week
7-day recovered orders snapshot
This example boutique recovers a handful of extra outfits per day—small lifts that add up. In a live account, this view is driven by your real Shopify data and lets you compare patterns like cart parkers vs. drop watchers.
Across the full week, this demo recovers just over $5,000 in orders that would have been lost — all from small, pattern-driven plays instead of blanket discounts.
Weekly impact
40+ extra orders and just over $5,000 in recovered revenue in 7 days.
That's like adding an extra day of sales every week — without buying more traffic or blasting bigger coupons. In a live account, this roll-up ties directly to your real recovered orders.
Highlight of the day
Sat 8 orders: 8 recovered orders ($920 demo revenue)
Shopper pattern
Drop watchers
Shoppers were waiting on low-stock and restock cues before checking out.
What's really going on
Shoppers were waiting on low-stock and restock cues before checking out.
How Abando gets them back
Urgency plays tied to low-stock sizes and “last chance for this weekend” messaging.
4 · How Abando turns raw signal into guided plays
What the raw signal looks like
Under the hood, Abando is watching anonymous event streams such as views, size-guide checks, add-to-cart, and checkout steps. Those noisy events roll up into a small number of patterns your team can act on.
[
{
"session_id": "s_1432",
"events": [
"view/dresses/midi-wrap",
"view/size-guide/dresses",
"add_to_cart:SKU-DF-102",
"view/returns-policy",
"abandon_checkout"
]
},
{
"session_id": "b3c__",
"events": [
"view/tops/cropped-knit",
"add_to_cart:SKU-CK-204",
"abandon_checkout"
]
}
]Abando sees raw events like this across hundreds of sessions, then groups them into patterns your team can actually act on.
Raw shopper events
Clicks, searches, size-guide views, add-to-cart, and checkout steps Abando receives from Shopify.
Behavior patterns
Abando clusters sessions into hesitation types like Cart Parkers, Size Checkers, and Drop Watchers instead of one big "abandoned" bucket.
Guided plays
Each pattern maps to a small set of proven plays so your team chooses tone and channels—not targeting logic.