Laundry Sauce is an eight-figure premium detergent brand known for luxurious, scented laundry pods. After working with Jetset for three months, the core foundations of their CRM program were in place and delivering meaningful revenue impact.
But Laundry Sauce was still running the standard CRM segmentation playbook: build 30-, 90-, 180-, and 365-day audiences off opens and clicks, then retarget those groups with campaigns. Those audience windows are arbitrarily defined and treated every engagement signal as equal, driving unnecessary send volume and diluted returns.
Jetset saw an opportunity to reframe segmentation around real purchase intent. Orita was integrated as the AI layer inside Laundry Sauce’s Klaviyo environment to validate the approach through controlled testing.
Revenue per Delivery
Higher Revenue Efficiency
Higher Click Engagement
Laundry Sauce moved from arbitrary engagement windows to segmentation based on concrete behavioral intent signals. That shift made it possible to more accurately identify subscribers who were actually closer to purchase.
That higher intent translated into a step-change in efficiency. The new intent-based segments were 4–6× more efficient, delivering up to +525% higher revenue per delivery and contributing 2.5× more total revenue than the legacy lists, even while reaching a smaller audience.
Laundry Sauce’s new “Grow” and “Highly Engaged” segments also delivered materially stronger response quality. Click engagement was 2–3× higher, and those same audiences converted 4× more efficiently than they did before the segmentation changes.
Today, Laundry Sauce has a segmentation framework built around intent—not arbitrary time windows—so the CRM program can scale revenue while cutting unnecessary send volume.
Jetset partners with fast-growth and enterprise brands to power Bespoke Growth, a wait-listed growth botique across all channels, and CxRM™ – our full-service retention and lifecycle offering that fuses enterprise CX with world-class retention marketing to drive growth, reduce churn, and wow customers.
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