If you're already running another campaign with tCPI or tCPA, what should you use as starting bid?

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Multiple Choice

If you're already running another campaign with tCPI or tCPA, what should you use as starting bid?

Explanation:
When you’re using a target CPA or target CPI bidding setup, start with the bid you’re already using in your existing campaigns. This gives the new campaign a solid, evidence-based baseline because these strategies optimize toward a specific cost per action or install. Using your proven bid helps the learning process get off to a good start, keeps initial costs in line with what you’ve already achieved, and lets the algorithm refine from a realistic starting point. A random bid, a maximum budget, or an industry-average bid don’t reflect your actual app’s performance or the value of your conversions. A random bid can waste spend, a maximum budget is a spend cap rather than a bidding baseline, and an industry average may not match your app’s conversion rate, audience, or competitive landscape. Starting from your established tCPA/tCPI bid ensures alignment with your goals and data, improving the chances of stable, efficient performance as the system optimizes.

When you’re using a target CPA or target CPI bidding setup, start with the bid you’re already using in your existing campaigns. This gives the new campaign a solid, evidence-based baseline because these strategies optimize toward a specific cost per action or install. Using your proven bid helps the learning process get off to a good start, keeps initial costs in line with what you’ve already achieved, and lets the algorithm refine from a realistic starting point.

A random bid, a maximum budget, or an industry-average bid don’t reflect your actual app’s performance or the value of your conversions. A random bid can waste spend, a maximum budget is a spend cap rather than a bidding baseline, and an industry average may not match your app’s conversion rate, audience, or competitive landscape. Starting from your established tCPA/tCPI bid ensures alignment with your goals and data, improving the chances of stable, efficient performance as the system optimizes.

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