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Updated: 13 hours ago
perfectwhitetee: Email Marketing Case Study
How an established apparel brand deepened its lifecycle programme, doubled flow efficiency and grew tracked owned-channel revenue.
Repair the foundations before adding volume
perfectwhitetee is an established apparel brand. When Thrivelia began working with the team in February 2024, the priority was to make the customer journey more dependable. Deliverability problems, bot activity in the loyalty programme, short automations and a complex stack made it harder to build a useful relationship after the first purchase.
The work began with list hygiene, authentication, engagement segments and a clearer technology setup. Capture and welcome journeys were tested around product education and confidence before purchase. Post-purchase communication helped customers discover complementary products and understand how to use and enjoy what they had already bought.
Develop the journeys, then simplify them
The account grew to roughly 55 live flows before being consolidated to about 45. These covered welcome, cart and checkout recovery, browse and site abandonment, back in stock, post-purchase, cross-sell, winback, VIP, birthday, review, sunset and transactional communication.
Campaigns supported launches, restocks, styling, materials, product education, customer reviews and founder stories. The aim was to connect timely messages with the reasons people buy again, while reducing unnecessary delivery volume.
What the reported results show
Across June 2024 to August 2026, Hiro tracked $28.08 million in attributed owned-channel revenue, rounded to $28.1 million in the case study. In the comparable second-half periods, tracked owned-channel revenue rose from $4.18 million in 2024 to $8.11 million in 2025, a 94% year-on-year increase. Flow revenue rose from $2.02 million to $4.37 million, a 117% increase.
From the second half of 2025 to the first half of 2026, flow revenue per delivery rose from $1.05 to $2.13 while flow deliveries fell by 46%. These figures describe the account's reported attribution and efficiency. They do not establish how much revenue would have happened without the programme, and they should be read alongside store growth.
Read retention figures in their customer context
The case reports a 36.3% blended repeat-purchase rate and a 61.5% rate among customers with at least 12 months of tenure. Those are different customer populations, so the comparison is not a before-and-after lift caused by the agency.
Second-purchase timing, category expansion, lifetime value and contribution margin offer a fuller view of customer development. The full presentation above includes the creative examples, channel detail and measurement qualifications behind these findings.
Questions about the work
How do you measure repeat purchasing fairly in a growing brand?
The perfectwhitetee analysis compared customers on a fair tenure clock. The blended second-purchase figure was 36.3%, versus 61.5% among customers with at least twelve months of tenure. Those are different populations, not a before-and-after improvement caused by email. Compare acquisition cohorts at the same age, then investigate first products, time to order two and later customer value.
What should a retention programme measure beyond email revenue?
Track second-purchase rate at a consistent customer age, time to the next order, product progression and customer lifetime value. Separate new and mature cohorts so a change in acquisition volume does not distort the diagnosis. These are evaluation principles for the next stage of work, not additional results claimed for this project.
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