The article introduces STAN, a multi‑task recommendation framework that leverages user lifecycle segmentation to jointly optimize CTR, stay‑time, and CVR, detailing the business context, key challenges, solution architecture, offline and online evaluations, and future research directions.
This article introduces STAN, a user‑lifecycle‑aware multi‑task recommendation model proposed by Shopee that refines CTR, CVR, and stay‑time predictions by identifying and tracking user states, demonstrates offline gains on Shopee and public datasets, and reports online improvements in click‑through, dwell‑time, and order metrics.
This comprehensive guide explains user lifecycle concepts, including definitions of lifetime and LTV, segmentation methods, stage-specific operational tactics, system architecture, and key performance indicators to help product teams optimize acquisition, growth, retention, and revenue across the entire user journey.
This article details how a six‑person SaaS team built a multi‑million‑revenue C‑end membership program from scratch, covering product definition, user journey, lifecycle modeling, automated marketing, and data‑driven growth experiments that drove over 50% year‑over‑year renewal improvements.
This article explains the origins and definition of paid‑membership models, outlines their value for e‑commerce, and details a full‑link service design framework that guides product, operation, and design teams through pre‑payment, payment, post‑payment, and renewal phases to increase ARPU, LTV and user retention.
