Consumer Goods (Beauty)

Econometrics & Data Foundations to Scale

Econometrics & Data Foundations to Scale

Econometrics & Data Foundations to Scale

We chose D1D over the others because I didn't want to get locked into yet another platform that wouldn't give me a custom solution & I wanted a better way to measure attribution than GA4. We love working with Day1!

Jamie Freed

Vieve Beauty, Chief Customer Experience Officer

Overview
Research
Research

VIEVE is a high-growth British beauty brand blending artistry with functionality to deliver premium health and wellness products. Founded by Influencer, Jamie Genevieve, VIEVE has quickly become a standout in the D2C and retail beauty space across the UK and US.

The Challenge
Design
Design

VIEVE’s data setup made it difficult to understand channel-level ROI, particularly across brand campaigns, and to make confident budget decisions while aiming to increase marketing spend and double revenue. Reliable revenue forecasting was a challenge, impacting both investor communications and internal planning. Manual reporting processes were time-consuming and error-prone, and their existing analytics platform lacked the customisation and scalability required to keep pace with the brand’s growth.

The Solution
Design
Design

Day1Data delivered a two-part engagement to help VIEVE boost marketing efficiency and data-driven decision-making. Phase 1: A UK-focused Marketing Mix Model quantified the impact of digital and offline spend across Meta, Google, TikTok, influencers, and brand campaigns. It identified high-performing channels, revealed diminishing returns, and unlocked £250,000+ in incremental revenue. The model is now refreshed quarterly to support agile planning. Phase 2: A custom data stack was built with a central warehouse, automated pipelines, and tailored dashboards across teams. This replaced Suite Analytics, eliminated 50+ hours of manual reporting weekly, and gave VIEVE full control and visibility over its data.

The Results
Design
Design

The engagement delivered over £250,000 in incremental revenue through improved media allocation and saved more than 50 hours per week by automating marketing and commercial reporting.

Move beyond last-click attribution & measure the true impact of marketing spend.

Move beyond last-click attribution & measure the true impact of marketing spend.

Move beyond last-click attribution & measure the true impact of marketing spend.