Decision queue prioritisation and impact forecasting
Recommendations are now ranked by expected revenue impact rather than spend volume, and every card shows the forecast range behind the number.
Until now the decision queue ordered recommendations mostly by how much money was moving through a campaign. That over-weighted large, stable line items and buried small changes with outsized effects. DecisionCore™ now scores each recommendation on expected business impact, confidence, and how quickly the effect can be observed.
Every recommendation card carries a forecast range instead of a single number, so you can see the downside case before you approve an action. The reasoning trail lists the inputs that moved the estimate and links back to the underlying metric.
Detailed changes
- Impact forecasting on every recommendation, with a low/expected/high range.
- Decision queue re-ranking based on expected impact, confidence, and time-to-signal.
- Snooze and dismiss with a reason, which feeds back into future prioritisation.
- Reasoning trail now links each cited metric back to its source view.
- Confidence scores are recalculated hourly instead of once per day.
- Fixed duplicate recommendations appearing when a campaign was renamed mid-period.
Related features
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