Are you wondering how Upp’s machine learning solution for Google Shopping, differs from Bidnamic?

Well, Bidnamic wondered the same, so we thought it’d be a good idea to compare what our similarities and differences are.

For retailers new to Google Shopping, it can be hard to know where to begin, and hard even for the more experienced to know how to improve results too. Standard Shopping, Smart Shopping, or now Performance Max, what budget should I allocate, what’s a good ROAS target, how do I cost-effectively acquire new customers? 

For experienced retailers, they have a perceived loss of control and transparency with moving to Performance Max, they don’t know why ROAS achievement isn’t consistent or where it should be and why CPC costs are increasing and budget not fully utilised.

Retailers told us these were their challenges time and time again. So, just like Bidnamic, we both agreed that Google Shopping can be challenging to maximise ROI, and wanted to solve this problem.

Using automation technology, we both help clients automatically manage and optimise the performance of their Shopping accounts. 

But, this is where the similarities end.

Upp can give you insights into your competitor’s ad performance

Book a consultation today and see how your Google Shopping performance compares to your competition.

How Upp is different to Bidnamic:

Unlike Upp, Bidnamic isn’t a fan of Google’s technology, Smart Shopping and Performance Max. They pitch themselves as “better than Smart Shopping”… essentially they’ve chosen to compete with the $1.6 trillion company, whose other products they rely on. Fair play.

Bidnamic’s machine learning solution automates the bidding strategy behind Standard Shopping to save customers’ time managing this and improve account performance. Effectively they offer the simplicity of Performance Max for Google Shopping, but with the transparency of Standard Shopping. 

However, having audited 100s of retailers’ Google accounts, we’ve seen that Smart Shopping has become the defacto for 90%+ of retailers. These retailers will auto-switch to Performance Max by end of September 2022. Our audit data has also shown that Smart Shopping consistently outperforms Standard Shopping and Performance Max outperforms Smart Shopping i.e. if you go against Google, you’re going to pay the price. 

To maximise performance, you need to ensure that you utilise all of the data within your ecosystem such as orders, competitor performance, return volumes, promotions & price points, customer data and more. This will ensure that Google’s Smart Shopping and Performance Max not only truly understand how to best advertise products, based on business and product performance and your targets but also automatically apply the improvements and optimisations.

Let’s not forget that this is not a one time change, but a moving problem. Only by using technology can you keep pace with today’s ever-changing marketing environment.

That’s why Upp has developed an AI neural network that is capable of identifying pattern opportunities within your data, automatically maximising performance for both Standard, Smart Shopping and Performance Max, whilst still providing full data transparency through a dashboard and performance reports with insights that matter to your business.

In summary, Bidnamic is an alternative to Google’s latest Performance Max, whilst Upp has been designed to leverage Google’s latest technology and enhance both Google’s Standard Shopping and Performance Max, without losing granular control or transparency.

If you’re now curious how Upp’s machine learning solution can maximise your Google (Smart) Shopping performance automatically, then please get in touch today.