Artificial Intelligence in Marketing

What is AI in marketing? AI in marketing involves the application of machine learning, natural language generation, and predictive modelling to automate content creation, optimise media spend, and personalise customer engagement. The scope of these technologies covers automated copywriting, predictive lead scoring, real-time bid optimization, sentiment analysis, and conversational audience segmentation. Key deliverables include dynamic ad creative pipelines, customer lifetime value models, and automated campaign performance reports. Marketing agencies and corporate departments adopt these solutions to scale campaign production, improve attribution accuracy, and ensure consumer data protection under guidelines from the ASA and ICO. Brainpool helps mid-sized marketing agencies and professional services firms leverage automated intelligence through our proprietary Cortex platform. Supported by our network of five hundred specialists, we build custom generative and predictive tools that drive higher ROI without sacrificing brand voice.

Modern marketing relies on an in-depth understanding of customer needs and preferences, and then the ability to act on that knowledge quickly and effectively. The ability to make real-time, data-driven decisions has brought AI to the forefront for marketing stakeholders.

AI brings an opportunity for a dynamic and hyper-personalized marketing strategy, reducing the amount of unpleasant and pushy adverts and delivering customer-centric, quality brand experience, increased campaign performance and greater efficiency of your marketing operations.

Marketing

Applications of AI in the Marketing Industry

AI-driven dynamic advertising
AI-driven dynamic advertising

Programmatic advertising powered by machine learning presents an opportunity to dynamically change your adverts and website content according to the type of customer seeing it.

Benefits:

Higher advert accuracy

Increased CTR and Conversions

Content Creation
Content Creation

Natural-language generation holds tremendous potential in making the work of content creators more efficient.

Benefits:

More quality content

Higher relevancy to your target audience groups

Precision Targeting
Precision Targeting

On going campaign analysis with machine learning enables you to continuously learn about your customer, making target audience groups narrower and messaging more accurate over time.

Benefits:

Higher targeting accuracy

Increased efficiency of your marketing budget

AI-powered customer insights
AI-powered customer insights

Thanks to advanced tracking methods we now have information on customer online behaviour, demographics, hobbies, food and music preferences, wealth, location and more. Data overload makes it impossible for humans to accurately find behavioral patterns, which is easily achievable for a machine learning system.

Benefits:

Better understanding of your target audiences

Informed marketing strategy

Machine learning provides an opportunity for a personalised experience for your customers.

Energetic Achievers
Target audience in 2021
Stefan, 21
Target audience in 2025

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