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How to optimise your ad campaigns with the latest AI tools

Discover how AI can transform your ad campaigns with tips on targeting, personalisation, creative optimisation, and programmatic advertising. Boost your ROI now! We all know that it is crucial to stay ahead of the competition when in comes to the world of digital marketing. One of the game-changing tools we have today is artificial intelligence....

Last updated: 22 May 2024 - 6 mins read

Lilli Digital Marketing Intern

CONTENTS

Discover how AI can transform your ad campaigns with tips on targeting, personalisation, creative optimisation, and programmatic advertising. Boost your ROI now!


We all know that it is crucial to stay ahead of the competition when in comes to the world of digital marketing. One of the game-changing tools we have today is artificial intelligence. By harnessing the full potential of artificial intelligence, marketers can supercharge their ad campaigns, drive impressive results, and achieve a higher return on investment (ROI). This guide will delve into how artificial intelligence can transform your advertising strategies and provide practical tips for effectively implementing these cutting-edge technologies.

Understanding the role of AI in advertising

Artificial intelligence brings together various technologies like machine learning, natural language processing, and predictive analytics. In the realm of advertising, it can sift through massive amounts of data, spot patterns, and make real-time adjustments to optimise campaigns. This means by leveraging it’s power you can craft more personalised and targeted ads, boosting engagement and conversion rates!

Benefits of using artificial intelligence in advertising

  1. Enhanced targeting: Automated intelligence algorithms can analyse user behaviour, demographics, and interests to create detailed customer profiles. This enables marketers to deliver highly targeted ads to the right audience at the perfect moment.
  2. Automated ad creation: Artificial intelligence tools can generate ad copy, design visuals, and even produce videos, slashing the time and effort needed to create compelling ad content.
  3. Optimised bidding strategies: AI-driven bidding algorithms can adjust bids in real-time based on factors like user intent, competition, and budget constraints, ensuring maximum ROI.
  4. Improved performance tracking: Artificial intelligence can monitor ad performance across multiple channels, providing insights into which ads are hitting the mark and which need tweaking.
  5. Predictive analytics: Artificial intelligence can forecast future trends and customer behaviour, helping marketers stay ahead of the curve and refine their strategies.

Practical applications of AI in ad campaigns

Let’s break down how specific techniques and benefits of artificial intelligence with the key areas where it can add value, providing clear actionable insights for marketers.

Audience segmentation

Effective audience segmentation is highly important for any successful ad campaign. Artificial intelligence can analyse large datasets to pinpoint distinct audience segments based on demographics, interests, and online behaviour. This detailed segmentation allows marketers to tailor their messages to specific groups, boosting engagement and conversions.

Personalisation at scale

Personalisation is key to capturing today’s consumers. Automated intelligence enables marketers to create personalised ad experiences at scale by analysing individual user data and delivering customised content. For instance, artificial intelligence can dynamically generate personalised product recommendations or tailor ad copy based on a user’s browsing history.

Dynamic creative optimisation

Artificial intelligence can optimise ad creatives in real-time by testing different variations and selecting the best-performing ones. This process, known as dynamic creative optimisation (DCO), allows marketers to continuously improve ad performance by automatically adjusting elements such as headlines, images, and calls to action based on user response.

Pragmatic advertising

Programmatic advertising uses artificial intelligence to automate the buying and selling of ad inventory in real-time. Machine learning algorithms analyse user data to determine the most effective placements for ads, ensuring they reach the right audience at the right time, maximising each campaign’s effectiveness.

Real-life example: Google Ads

One of the most relevant examples of artificial intelligence in advertising is Google Ads. Google leverages artificial intelligence and machine learning to help advertisers optimise their campaigns. Learn about some ways that Google Ads employs this technology and how you can make the most of these features:

Smart bidding

Google’s Smart Bidding uses machine learning to optimise bids for conversions or conversion value across your campaigns. It adjusts bids in real-time based on signals such as device, location, time of day, language, and operating system. Here’s how to use it effectively:

1. Set clear goals: Decide whether your main objective is to maximise conversions, conversion value, or return on ad spend (ROAS).

2. Choose the right strategy: Google offers several Smart Bidding strategies, including Target CPA, Target ROAS, Maximise Conversions, and Enhanced CPC. Select the one that matches your campaign goals.

3. Monitor and adjust: Regularly review your campaign performance and adjust your targets as needed. Google’s AI will learn and improve over time, but it’s essential to provide it with clear direction and goals.

Responsive search ads

Google’s Responsive Search Ads (RSAs) use artificial intelligence to automatically test different combinations of headlines and descriptions. This allows Google to show the best-performing combinations to users, improving ad relevance and performance. To make the most of RSAs:

1. Provide diverse headlines and descriptions: Offer a variety of headlines and descriptions that highlight different aspects of your product or service. Google recommends providing at least 8-10 headlines and 4 descriptions.

2. Use keyword variations: Incorporate relevant keywords in your headlines and descriptions to increase the likelihood of matching user search queries.

3. Review performance: Use Google’s reporting tools to analyse which combinations perform best and refine your inputs accordingly.

Custom intent audiences

Custom Intent Audiences let you target users based on their recent behaviour and purchase intent. Google uses artificial intelligence to analyse users’ search history and online activity to determine their likelihood of converting. Here’s how to create and use Custom Intent Audiences:

1. Identify relevant keywords and URLs: Think about the keywords your target audience might search for and the websites they might visit.

2. Create custom intent audiences: In your Google Ads account, navigate to the audience manager and create a new custom intent audience by adding your selected keywords and URLs.

3. Apply audiences to campaigns: Assign these audiences to your display or YouTube campaigns to reach potential customers with high purchase intent.

To sum up

Artificial intelligence is revolutionising the way businesses approach advertising, offering unprecedented opportunities for optimisation and personalisation. By understanding the role of artificial intelligence, leveraging its benefits, and implementing it effectively, you can significantly enhance your ad campaigns and achieve higher ROI. Embrace artificial intelligence as a powerful tool in your marketing kit, and watch your campaigns reach new heights. If you want to learn more about digital marketing check out our blog about the HubSpot Spotlight for Spring 2024.


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