Improve Your Smart Bidding Performance

The risk is that it is not possible to scale up to the desired level. Scaling up SEA channels can be a tedious process. You can quickly scale up with new accounts or expansion abroad, but otherwise it is iterating, testing and adjusting. The calculation The take over takeover €50,000 Investment € 7,500 Maintenance €18,000 Total: €75,500 Total (organic) traffic / 4 years 849,600 Price / organic visitor € 0.09 Conversion organic traffic 1% Paid traffic conversion 3% Maximum price per paid visitor €0.27 What works for your situation? As the e-commerce market matures, new ways to grow your online business are emerging. Where in the past organic growth through (mainly) marketing efforts seemed to be the only option, growth through acquisitions is now actually a realistic alternative.

Your Smart Bidding Performance

In this article, we’ve elaborated on the line of thought you might follow with this consideration. The case is of course not conclusive, because every entrepreneur has his own situational circumstances. After all, you can only spend a Russia B2B List marketing budget for traffic once, so make it count !Are you, as a SEA specialist, not getting the right results with smart bidding strategies in Google Ads? In this article I give 7 concrete tips on how you too can improve your SEA performance by being smart with the algorithm. “Smart bidding doesn’t work”, “Google wants to take your money” or “I don’t want to hand over all control” are common arguments why you should not use smart bidding. I recognize that Google is looking for ways to increase their ad revenue. That is their revenue model.

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Smart Bidding Performance

However, I must also admit that their machine learning and AI-driven products continue to evolve and evolve into the building blocks of many SEA strategies. Over the past few years at Reprise*, I’ve tested many bid strategies for Google’s smart bidding , on different accounts in different industries. With smart bidding, bids are automatically set to achieve your goals. The performance was very poor when smart bidding strategies came out. At least that’s what we thought. After a series of failed tests, we came to the conclusion that we hadn’t provided the algorithm with the right data to get the best results. Instead of trying to beat the algorithm, we found a way to make it work in your favor.

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