Automated systems can make bidding and delivery decisions quickly. They cannot independently decide what a healthy customer or a worthwhile commercial outcome means for your business.
A customer sees an ad, searches for your brand and buys. The advertising report records a conversion. What it cannot establish from that journey alone is whether the customer would have bought anyway.
People who recently visited your product page often look more promising than people who have never heard of you. That does not mean the first audience deserves every available rupee.
Version A has a green button. Version B has a blue one. You might learn something about that execution. You have learned much less about why a customer would choose the product.
Sales are slow. Someone suggests increasing the advertising budget. It feels like action, which is reassuring. It may also make the wrong problem more expensive.
Five audiences, four offers and six creatives look like a thorough testing plan. With a small budget, they may create a collection of inconclusive fragments.
The ad is clear. The click is relevant. The customer lands on a page with a different offer and a form nobody checks until tomorrow. The advertising has handed over to a problem.
A form submission is easy to count. A good customer is harder to identify. Choosing the convenient measure can quietly change what your campaign is trying to achieve.
