Predictive Metrics Drive Advertising ROI Transformation

B2C service companies struggled to accurately measure advertising effectiveness due to their business model involving long lead times: online application → store visit → contract signing.
ROAS evaluation wouldn't be finalized until mid-next month, and advertising performance fluctuated during that period, preventing real-time budget allocation and media allocation adjustments.
This evaluation lag caused missed opportunities and hindered differentiation from competitors.

Our company has developed a predictive advertising effectiveness evaluation system, enabling real-time investment decisions.
First, we analyzed patterns of visit rates, conversion rates, and average transaction values from historical data to develop proprietary leading indicators: "Projected Revenue" and "Projected ROAS," which forecast future sales at the point of application.
We introduced these predictive metrics as a common evaluation standard for all advertising agencies and built a dashboard enabling daily effectiveness measurement and rapid budget optimization.

The introduction of predictive metrics accelerated advertising investment decisions. Combined with other marketing reform effects, this resulted in a 1.5x improvement in ROI.
The accuracy of projected sales metrics reached 95% within three months of implementation, significantly reducing missed opportunities through real-time budget allocation optimization.
Collaboration with advertising agencies was also strengthened, improving responsiveness to market changes.
As a result, strategic advertising investment based on forecasts became possible, contributing to the establishment of competitive advantage.