Case study · Sportswear e-commerce
Reallocating budget across products and campaigns: +68% ROAS.
A leading women's sportswear e-commerce brand advertised across Amazon, Meta and Google Ads, but static budget allocation was not producing the required return across products and channels. AD cube's AI-driven budget optimization contributed to a 68% ROAS increase within three months.
Project overview
Sector
Women's sportswear e-commerce.
Channels
Amazon, Meta, Google Ads.
AD cube capabilities
Forecasting, Strategic Insights, Budget Optimization.
Timeframe
Three months.
The decision challenge
Deciding how to allocate budget across products and campaigns.
The brand needed to grow revenue and improve advertising efficiency across Amazon, Meta and Google Ads, in a market where competition and demand shift quickly. Static budget allocation, planned in advance and adjusted only periodically, was not producing the required return across products and campaigns.
The method
Continuously reallocating budget across products and campaigns.
AD cube used historical campaign data to model seasonal demand patterns, combining that with real-time signals on market dynamics, user behavior and competition to determine how budget was allocated across products and campaigns on Amazon, Meta and Google Ads. That allocation was adjusted continuously as conditions changed.
Seasonality modelling
Historical campaign data used to account for seasonal demand patterns.
Real-time signals
Market dynamics, user behavior and competition tracked on an ongoing basis.
Budget allocation
AI-driven allocation across products and campaigns on Amazon, Meta and Google Ads, adjusted continuously.
Results
+68%
ROAS increase
Increase in return on ad spend recorded over the three-month engagement.
+45%
Revenue growth
Revenue increase recorded over the same three-month period.
The business impact
Continuous allocation across products and campaigns allowed the brand to respond to seasonal demand and changing market conditions, rather than adjusting spend only periodically against a fixed plan. This gave the brand a more adaptive way to balance revenue growth with advertising efficiency across Amazon, Meta and Google Ads over the three-month engagement.