It’s hard to find an industry that hasn’t yet been affected by artificial intelligence in some way. Digital advertising and AI marketing solution platforms have moved from experimental to essential tools. Businesses now rely on AI not just to respond to changing market conditions, but to take the lead in customer acquisition and engagement.

Is marketing AI recommended for everyone? What are the capabilities of AI in digital marketing and AI in digital advertising that deliver real results? And which applications yield the greatest return on investment in terms of performance and efficiency? Let’s explore how artificial intelligence marketing can be harnessed to support real business goals.

Recent data shows that global spending on AI in marketing reached $20.44 billion in 2024 and is projected to grow to $82.23 billion by 20301.

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Artificial intelligence in action

Before choosing an artificial intelligence marketing solution for your company it’s important to understand that its effectiveness largely depends on the amount and quality of data you can provide. Companies that consistently preserve accurate, transparent data about their marketing activities will have an advantage, especially if the plan is to develop a custom solution.

This is not to say that if your company is smaller or not fully focused on digital marketing you should be discouraged from using AI. Ready-to-go, pre-trained artificial intelligence marketing platforms can be just what you need to improve your marketing performance!

We can denote three key capabilities, or actions, that artificial intelligence solutions facilitate when applied in the marketing domain: data analysis and forecasting, task automation, and scalable personalization.

 

Analyze and predict

 

Customer behavior

Artificial intelligence in digital marketing is widely used to collect and analyze customer behavior data. Whenever a customer browses your catalog, researches a product, makes a purchase, or uses a coupon, the system records the action and the journey that took the person to it. This information is enriched with gender, age, location, occupation, type of device, and other details to make up customer profiles and segment customers into groups.

AI in marketing

Source: avianaglobal.com
AI-driven analysis of customer behavior

With a searchable, constantly updated database at your fingertips, you can better predict customer lifetime value, forecast sales at audience targeting stage, and increase your ROI with an optimal product offering.

Today, modern AI marketing solution platforms go beyond static segmentation — they build dynamic profiles, calculate customer lifetime value (CLV), predict churn risk, and suggest optimal engagement timing across channels. These capabilities are especially valuable in subscription-based and e‑commerce models.

 

Campaign efficiency

Accurately measuring the efficiency of marketing campaigns has always been a tricky task with multiple variables. Thanks to AI marketing, this time-consuming process can now be optimized.

AI in marketing

AI marketing campaign management

Modern AI-powered analytics consolidate performance data across multiple channels, including search, social media, connected TV (CTV), and programmatic advertising, into unified dashboards. This enables marketers to run real-time A/B testing, adjust budgets instantly, and optimize campaigns based on predicted ROI2.

 

Online brand reputation

Online ratings and reviews play an important role in creating a positive image of your business outside of your direct marketing efforts. Customers seek out opinions of other people before buying a product or service, and that information is diffused across dozens of review platforms and social media sites.

AI-powered social listening now monitors not just text mentions but also video content, podcasts, and live streams for brand references. Advanced NLP-based sentiment analysis can detect tone shifts early, while predictive modeling anticipates emerging reputational risks before they escalate3.

How we can help

We apply machine learning-based automation, personalization, and powerful analytics to solve all kinds of marketing challenges, from audience segmentation to multi-channel marketing attribution.

Our AI marketing expertise dovetails with additional competencies like IoT and online video to help you find unconventional solutions and stay ahead of the curve.

Find more about our artificial intelligence development capabilities.

 

Automate

 

Customer interactions

One of the most striking features of artificial intelligence is how effective it is in automating complex tasks that were previously the domain of manual work or rudimentary automation only. Communication with customers is a high-stakes activity and until recently only the most repetitive parts of it were entrusted to machines.

AI-based marketing chatbots and voice-enabled platforms like Amazon Echo and Google Home have since changed the rules of the game. Instead of using if-then statements and branching logic, these solutions leverage NLP to process incoming questions (be they text or audio) and generate a response on the fly. More than that, the systems analyze the success of each interaction and learn from experience to adjust recommendations and enhance the service.

In 2024–2025, LLM-powered virtual assistants have significantly expanded capabilities — handling nuanced conversations, integrating with CRM and CDP platforms, and enabling hyper‑personalized customer journeys across email, web, and messaging apps. Adoption of AI chatbots in marketing is projected to grow at a CAGR of over 23% through 20304.

 

Brand safety

Nobody wants their carefully prepared creatives to appear alongside inappropriate or harmful content, but with the nature of digital marketing today such situations start happening more often. Artificial intelligence in digital marketing helps regain control through all-encompassing, granular monitoring that employs computer vision and NLP to detect anomalies such as fraud, bots, and content tampering. The solutions quickly flag and blacklist such instances, proactively preventing threats to brand image.

Today’s AI brand safety tools integrate advanced computer vision, contextual analysis, and real-time ad verification to evaluate ad placements before and during delivery. These systems automatically block inventory associated with unsafe content categories (hate speech, misinformation, unsafe UGC) and detect fraudulent activity like domain spoofing or bot-generated traffic.

 

Content generation

Yes, you heard it right — AI is finally catching up with humans in the business of content creation and strategy. A company’s online presence hinges on regularly updated content delivered through a variety of channels.

Text content solutions that are entering the market now are often based on natural language processing in combination with natural language generation. Both technologies are powered by AI algorithms and provide engaging, human-like writing adjusted for SEO metrics.

Generative AI now enables brands to create platform-specific ad creatives (video, banners, social media posts) at scale, from TikTok short-form clips to LinkedIn carousels. These tools automatically adapt tone, visuals, and formats to audience segments and campaign goals, while maintaining brand consistency. Adoption of generative AI in content marketing is projected to grow at a CAGR of over 25% through 20305.

 

Personalize

 

Customer approach

For many marketers, email remains the tool of choice for delivering their message directly to the customer. AI-based email marketing platforms can conduct deep analysis of each newsletter link that gets clicked and adjust future newsletters to maximize conversions.

Email marketing powered by artificial intelligence

Today, hyper‑personalization is driven by AI-powered CDPs and marketing automation platforms that integrate first‑party data, browsing behavior, purchase history, and engagement signals in real time. This allows brands to deliver tailored messages not just by segment, but by individual customer profiles, optimizing timing, channel, and offer relevance. AI in email marketing now supports predictive send‑time optimization and automated content adjustments based on customer interactions.

AI helpers are integrated into websites to guide the customer’s journey, offer attractive options depending on the customer’s profile and preferences, and unobtrusively collect feedback.The technology shows impressive results across different domains, including online retail and hotel bookings. In e‑commerce, hospitality, and OTT streaming, AI-powered personalization engines dynamically adjust page layouts, recommend content, and trigger targeted promotions based on real‑time user behavior. This drives measurable uplifts in conversion and retention metrics.

 

Advertising

The oversaturation of digital channels your customers use with hundreds of ads makes deep personalization the only viable option to catch their attention. Artificial intelligence in advertising makes this process affordable, fueling features like addressable TV that serves freshly-generated, relevant creatives to every household in the network.

AI-driven programmatic advertising platforms now use predictive bidding models, real‑time audience scoring, and contextual analysis to maximize ad ROI. Dynamic Creative Optimization (DCO) allows brands to deploy thousands of creative variations automatically, adapting headlines, visuals, and calls‑to‑action in milliseconds based on audience data. Adoption of AI in programmatic advertising and addressable TV is forecast to grow at a CAGR of 21% through 20306.

AI enables lightning-fast bidding for ad space — or programmatic advertising — giving ad buyers more control and flexibility. By integrating AI tools, advertisers can automate business-critical workflows end-to-end, from picking the suitable platform to negotiating with the publisher to personalizing creatives on the go. As a result, unique offers are served to motivated customers and every fraction of ad budget goes into boosting sales.

 

Staying competitive with AI marketing solutions

AI tech has made huge strides in digital marketing and every company, no matter how big or small, can benefit from it. The path to harnessing innovation starts with figuring out your business needs, potential restrictions, and expectations.

Do you think your marketing initiatives are missing their targets? Does your strategy suffer from inaccurate forecasting? Are you making the most of your data? Which parts of the process are you ready to automate? What is your innovation budget and how is it allocated? How do you ensure your campaigns resonate with customers? What KPIs (conversion, CPA, retention rate) could use a boost?

Today, advanced AI marketing solutions, from ready-to-deploy platforms to fully custom tools, allow companies to automate complex workflows, personalize engagement at scale, and apply predictive insights to decision‑making. The key is to align AI adoption with clear goals, available resources, and long‑term strategy.

Research best practices and talk to a marketing AI expert to figure out if your objectives can be reached with off-the-shelf solutions or a custom approach is necessary.

 
Sources
 

1. Grand View Research — Artificial Intelligence In Marketing Market Size Report, 2025–2030

 

2. Grand View Research — Call Center AI Market Size, Share & Trends Analysis Report

 

3. Grand View Research — Social Media Analytics Market Report, 2025–2030

 

4. Grand View Research — Chatbot Market Size, Share & Trends Analysis Report, 2025–2030

 

5. Grand View Research — Generative AI In Marketing Market Size, Share & Trends Analysis Report, 2025–2030

6. Mordor Intelligence — TV Advertising Market Report

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