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Getblue
58% decrease in cost per view in online advertising
Offerings →
Advanced Analytics & Data Science
GetBlue, a global digital marketing company, specialised in retargeting, partnered with Halfspace to develop an AI-powered CTR model and bidding engine that reduced cost per view by 58%.

In Brief →

Challenge

GetBlue could not predict the probability of when a consumer would click a banner and as such had no clear way of differentiating their bid prices.

Solution

Halspace built a CTR model using machine learning. Based on this model we created an algorithm to minimise and set the desired CPC.

Artificial Intelligence

AI made it possible to predict the clicks for banner ads in campaigns and minimise CPC.

Outcomes →

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Decrease in cost per thousands views

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Decrease in cost per click

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Increase in win rate

Client

→ Getblue

✨

Jonas Frederiksen

CEO → Getblue

To work with a company like Halfspace has been incredible. The speed, agility, knowledge and expert hands-on development of well scoped machine learning models has been a true eye opener on what is achievable to our organisation
To work with a company like Halfspace has been incredible. The speed, agility, knowledge and expert hands-on development of well scoped machine learning models has been a true eye opener on what is achievable to our organisation

The deep dive →

Using AI to stay competitive

In order to stay competitive, advertisers need to keep up with the latest developments in ad performance and advertising trends. The performance of an online advertisement network is complex and difficult to measure. There are many factors that affect the performance of your ads, including the sise of your ad budget and the amount of traffic you can generate.

GetBlue is a company that's helping businesses get the most out of their ad spend. We have built a customised CTR and bidding engine for GetBlue that can change the bid price of the ads depending on what auctions they participate in. This means that we are able to bid more aggressively when we see a lot of demand for our ads, but reduce our bids when we’re not getting many impressions or conversions.

With the help of Halfspace, GetBlue can now look at their data and make decisions on what is and isn't working for them. They have the ability to optimise for performance instead of just budget. This makes them more efficient in their spend and allows them to focus on what matters most: return on investment.

A path towards AI transformation

Good to keep in mind →

Leverage machine learning

By using machine learning algorithms to build a customised CTR model and bidding engine, companies can dynamically adjust their ad bids to optimise for maximum revenue while maintaining a high win rate and low CPC. This allows them to stay competitive and get the most out of their ad spend.

Data-driven decision making

Access to data and the ability to analyse it can empower companies to make informed decisions about what is and isn't working in their marketing campaigns. Partnering with the right expertise can help unlock these data-driven insights.

Adaptability to market changes

The online advertising landscape is constantly evolving, so maintaining adaptability and keeping up with the latest developments is crucial. Flexible solutions that can programmatically adjust strategies based on real-time data can help companies stay ahead of the curve.

Get started

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