New research guide: The Confidence Economy, how AI is changing fashion commerce.

Read it →

Read it →

/

/

Launch new arrivals

[ 04 ] · Use case

Drops that get seen on day one. 

Drops that get seen on day one. 

Drops that get seen on day one. 

A “New in” collection is a door. Most shoppers never open it.

No credit card · Live in under an hour

A new-season coat proposed by Elara as the layer for a dress a shopper is already viewingNew this week · proposed in context

[ 01 ]

the situation

What does this look like today?

You spend the season’s budget shooting and launching the drop, and then it waits in a collection for shoppers to find it. The ones who do are the ones who already follow you. Everyone else lands on a product page from an ad or a search and never sees the new coat that goes with the dress they are looking at.

[ 02 ]

the shopper’s side

What does the shopper experience?

01

The sync

The drop lands; within the hour every piece is placed in the Style Graph.

02

The context

A shopper on last season’s dress is offered this season’s coat as the layer.

03

The reason

“New this week — the collar sits well with the neckline.”

04

The bag

The new piece sells on its first day, to someone who did not search for it.

[ 04 ]

the number

What does it do to the numbers?

+0%
Engagement, AI-assisted sessions
0.0×
Items per session
Industry standards for AI-assisted shopping sessions. Your holdout report shows your own.

Our research on why shoppers leave without buying found that a majority want help choosing but will not ask for it. A “New in” collection asks them to go looking. Proposing the new piece inside the look they are already building meets them where they are — which is how a drop reaches the shoppers who would never have clicked through to find it.

[ 05 ]

what it replaces

What are brands doing instead?

Elara“New in” collectionsLaunch emails
Reaches shoppers who didn’t click “New in”
Proposed in context of what they’re viewing
Live within an hour of sync
No sales history needed
Measured against a holdout

[ 06 ]

who it is for

Which brands get the most from it?

Brands that drop weekly or monthly; DTC brands whose paid traffic lands on single product pages.

WEEKLY / MONTHLY DROPS

PAID TRAFFIC → PDP

NEW-IN CTR < 5%

[ 07 ]

proof in 30 days

How would I test it?

01

Day 1 — install, sync, write the opener.

Four lines or the Shopify app. The catalog syncs within the hour; the opener is set in Widget Studio.

02

Days 2–30 — run it against a holdout.

10–20% of sessions never see Elara. Nothing else on the store changes.

03

Day 30 — read the report.

The number to watch: first-week sell-through on new SKUs.

[ ? ]

questions

Questions a Head of Ecommerce asks first. 

Questions a Head of Ecommerce asks first. 

Questions a Head of Ecommerce asks first. 

Anything else, book twenty minutes and ask the founder directly.

On the next hourly sync; products without an image are synced but not styled until one exists.

Yes, per product or collection, with a date range, in the dashboard.

No. New pieces are proposed only where they fit the look and the brief, boosted, not forced.

Yes — a per-page launch opener in Widget Studio, with rollback.

Pre-order items are placed in looks and labelled as pre-order if your store exposes that status.

The holdout report plus the dashboard’s per-SKU view for the launch window.

Give your store a stylist that actually sells. 

Give your store a stylist that actually sells. 

Give your store a stylist that actually sells. 

Thirty days free. Live in under an hour. Measured against a holdout from day one.

Slide to start your trial

No credit card · Cancel any time