About us

We are creating a system that sets bids based on the probability of a transaction by combining every keyword with every demographic available – giving our customers the best possible return on their ad spend.

Abstract

Every decision we make is essentially based on probabilities, whether consciously or unconsciously calculated. When pursuing a goal, we choose what we believe has the most probability to help us achieve that goal. Often there are more variables than the human brain can take into consideration, and therefore we do a rough analysis and pick the best option.

One of the advantages of digital marketing and digital sales is that everything is measurable. You can measure every click, every customer journey, every traffic source. You can measure the impact of changing the colour of a button, lowering the price of a product or redesigning a landing page

Our mission is to give our customers a smarter way to hone their digital marketing by utilizing information and statistics about your site and your users.

We are creating a system that sets bids based on the probability of a transaction by combining every keyword with every demographic available – giving our customers the best possible return on their ad spend.

Background

Amanda is a Swedish AI solution that was started by the company Pridac (PRID Algorithm Company). The idea for an automatic SEM solution was born out of dissatisfaction for the available digital marketing solutions and a firm belief that SEM was perfect for automation.

Our ambition is to have all of our solutions built solely on data, and made simple so that everyone can use them.

Let us demonstrate with an example:

The amount of data used in digital marketing quickly becomes overwhelming and impossible to do manually. Picture yourself running an online business with the following offering:

  • 100 products.
  • In 20 categories.
  • From 10 brands.
  • In 3 colors.
  • And 3 sizes.

You will want to buy exact, broad and phrase matches. You will also want to use bid-modifiers, adjusting bids depending based on who is searching.

That's a whopping 115441200 variables to take into account.

That is too much to handle manually.

And too much to pay someone else to handle manually.

The case for automatization

Not all of those possible variations will be changed, but many of them will. If you are selling women’s clothing, the probability of a man making a purchase is very low, therefore it is more profitable to pay little for that demographic and focus on female site traffic. If you have different types of clothing, it is the consumer’s interests that will have a higher impact on their probability to make a purchase.

Therefore, the keywords must be calibrated in a way that your store will catch their attention. That’s a lot to keep track of. Let us take care of it instead.