Align your advertising investment with your business strategy

The automatic bidding strategies offered by the different advertising platforms have become one of our best allies regarding campaign optimisation. Specifically, those known as Value Based Bidding allow us to align our advertising investment with our business objectives in an automated way.

If you are using Value Based Bidding, configure your pixels to collect the conversions you want to optimise. Then, indicate the objectives you want to achieve through your campaigns (whether it is maximising the value of the conversions or optimising the return on our investment). From there, algorithms learn everything necessary to find and bid for users to achieve your goals.

The main issues with Value-Based Bidding

Conversions, in this case, act as signals that tell the algorithm whether or not users are valuable for our campaign. But, sometimes, you may not have enough conversion volume for VBB to work. And sometimes, web conversions do not fully reflect the reality of our business.

Furthermore, it is estimated that the Google and Meta algorithms only consider signals for the first seven days since the user entered through a paid campaign. For user acquisition data, the most recent signals are the ones that the algorithms give the most importance to. What happens when a lead’s final conversion occurs beyond that 7-day window?

How Gauss Smart Advertising can help you

To cover this gap between what the algorithm can see and your business’s fundamental objectives and KPIs, Making Science developed Gauss Smart Advertising. This proprietary technology allows you to anticipate the future value of a user and improve signals throughout the entire sales funnel. With Gauss, we can predict a lead’s propensity to buy, the expected purchase value, and even the long-term value of the lead (customer lifetime value). Then, we translate it into signals that give the algorithm a more realistic vision of your business. Furthermore, what makes the difference is that we not only create predictive models but can activate them in real-time to anticipate and communicate those signals without losing the benefits of the cross-device nor the freshness that Smart Bidding algorithms require. Additionally, we develop agnostic models that can be activated on any of your marketing platforms.

How it works

Advertising platforms have the ability to collect web browsing data for campaign optimisation. Gauss Smart Advertising collects browsing data from other data sources to issue a more accurate assessment of the user that it then sends as a signal to the platforms.

In essence, based on previously trained machine learning models, it predicts and issues a score/value for each of the users that enter the website and communicates it to the platforms in real-time:

A methodology for automation and activation

Our solution is optimised to cover all the critical phases of its implementation, from the collection and evaluation of the quality of the data that feeds our models to the activation and monitoring of campaigns and models:

With Gauss Smart Advertising, we have increased our clients’ conversions by 20% and reduced their CPL/CPA by up to 50%.

Gauss Smart Advertising can be used to

  • Communicate to the algorithms that someone has made a purchase when the lead is more than seven days old (for example, longer tail conversions like university enrollments, vehicle purchases in the automobile industry, insurance or mortgage purchases in the banking sector, etc.)
  • Adjust conversion values ​​when refunds and cancellations represent an essential part of the business, and these occur outside the scope of action of the algorithms (for example: in the hotel industry where cancellations tend to take place closer to check-in than to reservation)
  • Amplify and provide a greater volume of signals to the algorithms to improve their performance in industries or advertising channels (for example, display) where few conversions are collected
  • Adjust the signals captured by the algorithms to the KPIs and business objectives (for example, increase customer lifetime value for e-commerce businesses)

Do you want to know more about Gauss Smart Advertising? Write to us! Our team of experts will be happy to help you.


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