{"id":14007,"date":"2023-02-03T08:55:26","date_gmt":"2023-02-03T08:55:26","guid":{"rendered":"https:\/\/brightbid.com\/using-artificial-intelligence-and-machine-learning-for-google-bid-optimisation\/"},"modified":"2023-07-27T08:27:23","modified_gmt":"2023-07-27T08:27:23","slug":"using-artificial-intelligence-and-machine-learning-for-google-bid-optimisation","status":"publish","type":"post","link":"https:\/\/brightbid.com\/sv\/nyheter\/using-artificial-intelligence-and-machine-learning-for-google-bid-optimisation\/","title":{"rendered":"Using Artificial Intelligence and Machine Learning for Google Bid Optimisation"},"content":{"rendered":"

Using Artificial Intelligence and Machine Learning in Digital Marketing: BrightBid\u2019s AI & ML models explained for Google Bid Optimisation <\/b><\/h1>\n

Did you know that there are<\/span>63,000 search queries a second<\/span><\/a>? And of the 97% of the global population who search for information on the internet, 61% use Google every day. Google is a vital marketing tool for any company trying to get in front of \u2018high intent\u2019 potential customers when they\u2019re looking for the products or services it sells. It is therefore not surprising that Google is the largest advertising platform in the world generating over $178 billion from search (and youtube) in 2021. <\/span><\/p>\n

However, it is a time consuming and specialist task for many marketing teams to get to grips with Google paid search (PPC) as it can be complex with thousands, sometimes millions of different keywords, audiences and ad creatives to track. It is also a highly competitive space with many advertisers competing for the same searchers and inflating the price. Google operates an auction model for clicks to set the price (Cost per Click). Demand from advertisers has been higher than the available supply for Google searchers over the last 2 years, which has led to very high levels of CPC inflation at 38% 2021 on 2020 and 15% 2022 on 2021 (Source<\/a>). <\/span><\/p>\n

How is Google using AI in Marketing?<\/h2>\n

Google PPC is exactly the type of task that machines do brilliantly and Google has been using AI within its Search product as an alternative option for advertisers manually optimising their paid search campaigns. The challenge for many marketing teams is that this can be the blackest black box they work with: no <\/span>breakdown by price, by ad format, media channel or even what creative elements work. <\/span><\/p>\n

This matters less when Google\u2019s AI is delivering brilliantly but when results are worse than expectations, the advertiser finds they\u2019ve given up control of their marketing investment. Google\u2019s response is often \u2018spend more money\u2019 to improve performance which results in an even worse inflationary spiral. <\/span><\/p>\n

Our aim at BrightBid is to give our customers access to more controllable AI and automation solutions for Google search to enable them to take advantage of this technology to improve their advertising performance without giving up control or having to invest to develop their own AI solution in house. <\/span><\/p>\n

Our technology team has automated the thought processes and workflow of a PPC expert to ensure that<\/span> our solution works for all types of customers. Finding the best solution that\u2019s most applicable to our customers in performance terms was the hardest part. It required, and still requires, constant learning and testing and continual improvement as the marketing and ad space quickly changes. <\/span><\/p>\n

Turning <\/b>raw data into useful insights for clients or customers: practical deployment<\/b><\/h2>\n

Our AI engine enables customers to test thousands of different combinations of ad copy, audiences, devices, locations, countries and products to find which mix performs best for the goals they have set. We delivered over 50m optimisations in Google Search on our customers\u2019 behalf in 2022: far exceeding the ability of a PPC expert to manually optimise.<\/span><\/p>\n

We\u2019ve built our own bidding platform on top of Google\u2019s own bid-automation platform so that customers can use all the data triggers collected by Google and then reap the benefits of our AI on top to guide the performance of their spend based on their exact goals.<\/span><\/p>\n

The parameters within our AI Engine for Google Search<\/b><\/h2>\n

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We\u2019ve built a number of our own AI and ML models for the complex process of handling Google Search. Diving deeper into one element – our bid optimisation model – is an unsupervised machine learning model built, and then tailored for each customer using their own past historical data gathered from Google and their own datasets, to set more precise and accurate pricing of the different keywords that exist in a given Google ad group, campaign and account. For this purpose, we look at different variables such as device, time of day, day of the week, audience, age range, income range and gender to price the bids.<\/span><\/p>\n

The purpose of bid optimisation is to automatically identify high-quality traffic so as to increase the bids on impressions that lead to more conversions (or clicks) and reduce money spent (costs) on impressions that do not lead to conversions for our customers.<\/span><\/p>\n

For our bid optimisation model, we optimise for 3 goals. <\/span><\/p>\n