Case studies / Womenswear on Shopify

Case study · womenswear on Shopify

Nine times the revenue on the same email flow.

A Singapore womenswear brand reached three times the shoppers on its abandoned-browse flow, and turned first-time buyers into repeat buyers with the same agent.

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Womenswear · Shopify · Singapore, SEA, US, Australia
April to August 2026
Checked in the brand's Klaviyo, Shopify and Releva

Abandoned-browse flow · matched monthemail

Klaviyo · full month1,077 emails · 16 purchases

Releva · 18 Jun to 17 Jul3,177 emails · 122 purchases

Revenue on the flow

9.4×

no added discounts

Per email delivered

3.2×

revenue

9.4×revenue on the same abandoned-browse flow, matched month

3×shoppers reached on the same trigger

2.5-3×60-day repeat rate for first-time buyers who clicked a recommendation

29%of site revenue from the 3.8% of visitors who clicked a recommendation

The client

The emails were fine. The data under them was not.

A direct-to-consumer womenswear brand from Singapore, on Shopify, selling into Southeast Asia, the US and Australia. Email ran on Klaviyo and paid acquisition almost entirely on Meta. New customers had halved year on year, so existing customers were the way to grow.

Its abandoned-browse flow sent 1,077 emails in a month and brought 16 purchases. Browser tracking missed most sessions, so most shoppers never entered the flow, and every email showed the same products.

What the agent did

Same flow, same store, more shoppers reached

Every session captured

Server-side and first-party, so the same trigger reached about three times the shoppers, including visitors who had not left an email.

A choice inside every email

Next basket, best buys or “others who viewed also bought”, picked per person and per send from their own behavior and orders.

The same agent on the site

From 23 June 2026, recommendations on product pages and the home page, decided per visitor and per page.

No added discounts. The brand confirmed it.

Email results

The same abandoned-browse flow, a matched month

Klaviyo figures from the brand's own export. Releva figures 18 June to 17 July 2026. A matched period, not a controlled test.

Same flow	Klaviyo, full month	Releva, 30 days	Change
Emails delivered	1,077	3,177	3× reach
Purchases	16	122	7.6×
Revenue on the flow, indexed	100	936	9.4×
Revenue per email delivered, indexed	100	317	3.2×
Purchases per email delivered	1.49%	3.84%	2.6×

Open rate 66.2% and click rate 7.1%, against Klaviyo's published browse-abandonment benchmarks of 38.9% and 4.9%. Unsubscribes 0.28%, no spam complaints. Two Releva flows, abandoned browse and win-back, went on to out-earn the brand's whole earlier email program, abandoned cart included. In a one-week controlled A/B test, both sent through Releva, the agent's picks earned 96% more per email than a copy of Klaviyo's logic.

On the site

The 3.8% who clicked a recommendation brought 29% of revenue

First 25 days from 23 June 2026: 378,832 recommendations shown and 8.6% clicked. Visitors who clicked bought at 0.89%, against 0.11% for those who did not.

Against the 16 days before launch, purchases per day rose from 31 to 42. That is recommendations and email together, not a controlled result.

Site · first 25 dayssite

Buyer rate, clicked

0.89%

vs 0.11% not clicked

Revenue per visitor

10×

same basket size

Repeat orders

Buyers who clicked a recommendation came back 2.5 to 3 times as often

Share of first-time buyers who reordered within 60 days, by monthly cohort, 2026.

First-time buyers	Did not click a recommendation	Clicked a recommendation
April cohort	21.7%	54.5%
May cohort	18.8%	57.8%
June cohort	14.9%	40.4%

Buyers touched by both recommendations and email were worth about twice as much as untouched buyers, 1 April to 14 August 2026. Buyers who clicked a recommendation averaged 2.1 orders each, against 1.3.

How we counted

Orders counted once. Every figure is a completed Shopify checkout joined to what the shopper did. No ad platform's attribution is used.

Matched month, not a controlled test. The email comparison sets a full Klaviyo month against 30 days on Releva, on the same flow and store, with no added discounts.

Self-selection. Buyers chose to click recommendations, so part of the repeat gap is intent. It held in every monthly cohort, so selection alone does not explain it.

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