The realization of dynamic budgetary adjustments requires the establishment of a closed loop of "monitoring-analysis-adjustment":
- Core monitoring indicators::
- Sub-channel CAC (Customer Acquisition Cost)
- ROAS (Return on Advertising Spend)
- LTV (Life Cycle Value) of Sold Customers
- Intelligent Early Warning System: Dashboard triggers a red alert when a channel's CAC exceeds a preset threshold (e.g., 120% for industry average)
- Budget adjustment strategy::
- Reallocate budgets based on AI-generated 'channel value matrix'
- Setting "budget protection rules" for high LTV customer source channels
Practice Case: After using Source, a manufacturing company reduced its Google Ads budget from 50% to 30% in 3 months, and increased its LinkedIn budget from 20% to 45%, which reduced the overall cost of customer acquisition by 28%. The key is to continuously monitor the "change in the quality of new customers after budget adjustment" indicator. The key is to continuously monitor the "change in quality of new customers after budget adjustments" metric.
This answer comes from the articleSource:AI marketing analytics tool that helps B2B companies identify customer sourcesThe
May not be reproduced without permission:AI productivity tools " How can marketing teams achieve dynamic optimization of ad budgets with Source? What are the key metrics to focus on?
