Platform: Enolytics DTC

Summary:

What it is: Suggested Expected Revenue shows the probability-weighted revenue forecast for each recommendation, calculated by multiplying product price, expected bottles sold, and a conversion likelihood factor to give you a realistic revenue projection rather than just theoretical potential.

How to use it:
• Prioritize recommendations by focusing on those with the highest expected revenue to maximize your campaign's actual revenue impact
• Forecast campaign performance by summing expected revenue across all recommendations to set realistic revenue targets and measure success

Tip: This metric accounts for conversion probability, so a $200 wine with low conversion likelihood might show lower expected revenue than a $50 wine with high conversion probability - use this to balance reach and revenue goals.

Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below — it opens a quick chat so you can let us know.

Quick Stats:

The probability-weighted revenue forecast for this recommendation, calculated by multiplying the product price, expected bottles, and revenue factor. This represents a realistic revenue projection that accounts for conversion likelihood rather than just potential value. For example, a $100 wine with 3 expected bottles and a 22% revenue factor yields $66 in expected revenue. Use this metric to prioritize recommendations by their actual revenue impact and to forecast campaign performance.

Suggested Next Purchase

Type: float

Format: $ #,##0