Fashion Technology
Hey Savi is a UK-based fashion-tech startup at the forefront of redefining how Gen Z and Millennial consumers discover, interact with, and purchase fashion. With an AI-powered search and styling platform, Hey Savi enables users to browse curated clothing recommendations and connect seamlessly to retailers based on individual style, sizing, and real-time stock availability. Built for a mobile-first audience, the app also includes an integration with WhatsApp to enhance social shopping and customer service.
Hey Savi came to Day1Data with a clear challenge: build a complete, scalable data foundation ahead of their app launch. As a pre-revenue, pre-launch startup, they had no internal data yet - but high expectations. The team needed to validate product launch success with clear metrics for investors and founders, unify customer data across their mobile app and WhatsApp to track engagement accurately, and build future-ready marketing attribution for a hybrid growth model spanning organic, influencer, and paid channels. Crucially, they wanted to avoid makeshift tools and instead build a modern, scalable data stack from day one.
Day1Data led a full-spectrum engagement, starting with a one-day strategy workshop to align on vision, challenge assumptions, and define how data would power product, marketing, and ops. Phase 1: Strategy Workshop Together with the Hey Savi team, Day1Data clarified business goals, mapped all key data sources (app, WhatsApp, marketing platforms), defined MVP KPIs, and prioritised must-have metrics. Phase 2: Data Strategy & Infrastructure Blueprint Following the workshop, Day1Data delivered a detailed blueprint for a scalable modern data stack. This included tool recommendations (Amplitude, Segment, BigQuery), SCV modelling, CDP planning, and guidance on GDPR-compliant data collection. The strategy enabled use cases like marketing attribution, engagement tracking, and campaign analysis. Solutions Provided Recommendations included Amplitude for product analytics, a CDP to unify app and WhatsApp data, tailored attribution models for social-led growth, and a full stack blueprint using Segment, BigQuery, dbt, and Looker/Tableau.
Confident Launch Tracking Clear KPIs, events, and cohort tracking were built into product and marketing plans from the start. Engineering Efficiency A best-in-class infrastructure roadmap saved months of dev time by avoiding over-engineering and unnecessary tools.
