Let's imagine that we don't deal with advertising or bidding

[sumaiyakhatun27]

Bbut we work in a restaurant and bake apple pies. To make the pie, we need fresh apples, and we send a buyer to the market every day with the task of buying as many apples as possible within the available budget. So, by giving him the task of buying a lot of apples, we hope to find the cheapest options, perhaps on discounts or charity events, to save money.

Now let’s apply this example to the advertising space. It’s important to understand that your competitors, who have been using advertising for a long time, are already aggressively competing for conversions. They use different strategies such as CPI and ROAS, and Google determines how likely each user is to convert. When Google evaluates a user as a potential buyer, the competition for that user increases, leading to high bids.

So if you choose a “maximize clicks” strategy, you risk missing out on valuable conversion greece rcs data opportunities. The “maximize clicks” strategy aims to get the cheapest clicks, but it can mean you miss out on users who aren’t ready to convert now but could be valuable in the future.

It's important to understand that your competitors are already competing for users who have high conversion potential, so the use of a "maximize clicks" strategy may be limited.

Therefore, I recommend avoiding the “maximum clicks” strategy, especially if your goal is to get conversions. Instead, work with “cost per click” manually. This will allow you to analyze the market, understand which products are worth buying and how they pay for themselves.