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

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Repeat purchases

[ 06 ] · Use case

A stylist that remembers. 

A stylist that remembers. 

A stylist that remembers. 

Your best customer gets the same store as a stranger. Every visit starts at zero.

No credit card · Live in under an hour

Elara greeting a returning shopper with a look built from her remembered size, palette and saved outfitsWelcome back · size 8 · neutrals

[ 01 ]

the situation

What does this look like today?

Acquisition costs more every quarter, and the second purchase is where a customer becomes profitable. But your store forgets her the moment she leaves: her size, her budget, the colours she never picks, the three looks she saved. Email knows what she bought. Nothing knows why — or what she passed on.

[ 02 ]

the shopper’s side

What does the shopper experience?

01

The return

She is back, six weeks later, on a different product.

02

The memory

Size 8, neutrals, nothing above the knee, the saved look from May.

03

The look

Built from what she kept and what she skipped, in her size, first time.

04

The bag

A second order that took one conversation, not four.

[ 04 ]

the number

What does it do to the numbers?

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

Online fashion conversion rates typically sit in the 1–3% range, according to the industry benchmarks in our stats post — and that baseline applies to the second visit as much as the first when the store forgets who she is. A returning shopper who is met with her size, her palette and her saved looks starts the visit halfway to a decision, which is where repeat conversion is won.

[ 05 ]

what it replaces

What are brands doing instead?

ElaraLoyalty pointsAbandoned-cart email
Remembers taste, not just purchases
Works without a login
Learns from skips
No discount required
Measured against a holdout

[ 06 ]

who it is for

Which brands get the most from it?

Brands with a real returning customer base — basics, denim, contemporary, beauty-adjacent fashion — and anyone whose retention plan is a points programme.

REPEAT RATE < 25%

CAC RISING

EMAIL IS THE ONLY MEMORY

[ 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: 60-day repeat-purchase rate.

[ ? ]

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.

Anonymously, on your store, through the same session identity Shopify uses; no login needed. Logged-in customers carry their profile across devices.

No. Each store’s graph and each shopper’s weights stay with that store.

Size, budget, silhouettes, colours, occasions, saved looks and what she skipped — never personal data.

Yes, from the widget, any time.

Yes — taste and occasion signals can flow to Klaviyo and Ometria as properties for your own flows.

Repeat-purchase rate for the Elara group against the holdout, in the report.

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.

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