A digital marketing manager for a large retailer manages a fully flexible budget for their campaigns. Which best practice should they follow in order to maximize results from their flexible budget?
- Cap budgets at the average daily spend to eliminate unnecessary budget usage during seasonal periods.
- Use shared budgets and portfolio bid strategies to maximize campaign flexiblity and allow AI to do its work.
- Create a separate budget for campaign experiments and unforeseen market changes.
- Adjust performance targets monthly or quarterly to optimize AI-driven solutions.
Explanation:
The correct answer option is ‘Use shared budgets and portfolio bid strategies to maximize campaign flexibility and allow AI to do its work.’ For a digital marketing manager overseeing campaigns with a fully flexible budget, employing shared budgets and portfolio bid strategies is a best practice to optimize results effectively. Shared budgets allow for dynamic allocation of budget across multiple campaigns based on performance, ensuring that resources are allocated to where they can generate the most value. This flexibility enables the manager to adapt to changing market conditions, seize opportunities, and mitigate risks effectively. Additionally, portfolio bid strategies leverage machine learning algorithms to optimize bids across a group of campaigns, maximizing performance while maintaining efficiency. By allowing AI to optimize bidding decisions based on real-time data and performance signals, portfolio bid strategies help achieve better results within the flexible budget framework. This approach ensures that the budget is utilized efficiently, driving maximum return on investment and achieving campaign objectives more effectively. Therefore, leveraging shared budgets and portfolio bid strategies is a key best practice for digital marketing managers aiming to maximize results from their flexible budgets in large retail campaigns.