A marketing executive wants to forecast the minimum budget for the company's app installs goal for the next campaign. What should be used?

To forecast the minimum budget for the company's app installs goal for the next campaign, the marketing executive should use a combination of historical data analysis, market research, and predictive analytics. Here are the steps:

1. Historical Data Analysis: Look at the past campaigns, specifically focusing on the cost per install (CPI). This will give an idea of how much, on average, each app install costs.

2. Market Research: Research the current market rates for app installs in the industry. This can be done by looking at industry reports or by speaking with media buying agencies.

3. Predictive Analytics: Use predictive analytics tools to forecast future trends. This can help anticipate changes in the CPI, allowing for more accurate budgeting.

4. Set Goals: Determine the number of app installs the company aims to achieve with the next campaign.

5. Calculate Budget: Multiply the anticipated CPI by the desired number of installs. This will give a rough estimate of the minimum budget required for the campaign.

Remember, this is a forecast and actual results may vary. It's always a good idea to allocate additional budget for unforeseen changes or opportunities.