AI in Marketing

AI in Marketing: 10 Data-Driven Tools for Increasing Efficiency

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AI in Marketing

Today artificial intelligence (or AI) is more than just a buzzword. Each industry seeks to integrate it into its business activity and increase efficiency. As experienced CTOs say, buying some technologies is insufficient, but the main task is using them properly. And this is what’s happening now. Some companies tend to automate routine functions with technologies. Others are willing to solve more complicated tasks like data analysis and predictions. Healthcare uses AI-powered tools for diagnostics and treatment correction. This list can go on indefinitely. So what about AI in marketing?

Regarding all the above-mentioned, it’s natural that marketers can not stay aside and must actively use the latest solutions to evolve. AI-powered and data-driven tools can benefit marketers by leveraging advanced technologies and analytics to enhance marketing strategies and campaigns. Here are some ways AI and data-driven tools can help marketers:

  • Customer segmentation and targeting
  • Predictive analytics
  • Personalization and recommendation engines
  • Content creation and optimization
  • Social media monitoring
  • Marketing automation
  • Customer experience optimization
  • Ad targeting and optimization
  • Competitive analysis and market insights
  • ROI measurement and attribution

AI in marketing provides enhanced targeting capabilities, improved customer experiences, and increased efficiency, leading to more effective and successful marketing efforts. Let’s explore what tools are now available and how marketing professionals can benefit from them.

Customer Segmentation and Targeting

AI in marketing can analyze vast amounts of customer data, such as demographics, behavior, preferences, and purchase history, to create more accurate and refined customer segments. Marketers can then target specific segments with personalized messages and offers, increasing the effectiveness of marketing campaigns.

Adobe Audience Manager

AI in Marketing: Adobe Audience Manager

The solution simplifies gathering and organizing audience data, allowing you to collect commercially relevant information about site visitors, create marketable segments, and deliver targeted advertising and content to the right audience. It offers easy tag deployment and robust data collection, ensuring data control and protection.

The functions of a Data Management Platform (DMP) can be summarized into three key categories: Data In, Audience Creation, and Data Out.

Data In:

Audience Manager collects first-party data from various channels and devices, including web analytics, CRM, device data, and e-commerce.

Audience Creation:

It consolidates data into audience profiles, providing a comprehensive view of customers across devices and channels. You can create look-alike models, build audience segments and groups, and enrich the profiles with second and third-party data.

Data Out:

Audience segments are activated by distributing them to demand-side platforms (DSPs), campaign management systems, and other marketing platforms.

Predictive Analytics

AI algorithms can analyze historical data to identify patterns and trends, enabling marketers to accurately predict customer behavior, market trends, and campaign outcomes. This information helps marketers optimize strategies, allocate resources effectively, and make data-driven decisions.

SAS Advanced Analytics

sas advanced analytics interfaceOne of the main features of SAS Advanced Analytics is its ability to perform predictive modeling and forecasting. Users can build sophisticated statistical models to predict future outcomes based on historical data. This allows organizations to anticipate trends, identify potential risks, and make informed decisions. The tool also offers various statistical techniques, such as regression analysis, decision trees, neural networks, and time series analysis, enabling users to choose the most appropriate method for their specific needs.

Another key feature of SAS Advanced Analytics is its data mining and machine learning capability. The tool provides a comprehensive suite of algorithms and methodologies for uncovering patterns and relationships within large and complex datasets. This enables businesses to discover important data, segment their customer base, optimize marketing campaigns, and enhance overall operational efficiency. SAS Advanced Analytics also supports machine learning workflows, allowing users to develop and deploy predictive models and algorithms to automate decision-making processes.

Personalization and Recommendation

By understanding individual preferences and behaviors, marketers can tailor content, product suggestions, and offers to each customer, increasing engagement and conversions.

Dynamic Yield

dymanic yield interfaceIt is an AI-powered tool that leverages real-time data analysis and machine learning algorithms to provide personalized customer experiences. It utilizes customer data to determine buyer intent and delivers tailored content and product recommendations across various channels such as web, mobile, and mobile apps. Dynamic Yield ensures that customers receive specific and relevant information by considering factors like past behavior, preferences, and purchase history.

One notable feature of Dynamic Yield is ReccomendML, which employs a deep-learning model to quickly analyze large datasets and offer optimal product recommendations to users. This enhances the level of personalization provided by the tool.

Dynamic Yield prides itself on being platform-agnostic regarding integrations, allowing easy integration with existing tech stacks. Its open API facilitates seamless connections with popular tools like Google Ads, Klaviyo, Magento, and Mailchimp.

Content Creation and Optimization

AI marketing tools can assist in generating and optimizing content. Natural Language Processing (NLP) algorithms can analyze vast amounts of data to identify popular topics, optimize keywords, and generate relevant content. Artificial intelligence can also help with content distribution by analyzing audience behavior and suggesting the best channels and timings for maximum impact.

Jasper is an advanced AI-powered platform for content creation. Whether writing articles, creating social media posts, crafting product descriptions, or generating creative ideas, provides users with a powerful toolset to streamline their content creation process. From generating engaging headlines to fine-tuning the tone and style of the content, offers a comprehensive solution for individuals and businesses seeking to optimize their content strategy and produce captivating, tailored content at scale.

Jasper offers a standout feature that enables users to precisely define the type of content, tone, and style, empowering them to tailor their creations to suit their specific requirements perfectly.

Social Media Monitoring

In marketing, AI can monitor social media platforms to track brand mentions, customer sentiments, and engagement levels. Marketers can gain valuable insights into their brand reputation, identify emerging trends, and address customer concerns promptly.


brandwatch interface

Brandwatch is a social listening and analytics platform that empowers businesses to gain actionable insights from social media. With the ability to monitor brand mentions across 100 million+ sources, including major social networks like Facebook, Instagram, Twitter, and LinkedIn, Brandwatch enables businesses to listen to their consumers and benchmark against competitors. The platform offers a wealth of historical data, providing 12 months of consumer data and seven years of competitive channel analytics.

Marketing Automation

Another way to implement AI in marketing is by automating repetitive tasks like email campaigns, social media posting, and lead nurturing. By automating these processes, marketers can save time, reduce human errors, and focus on higher-value activities like strategy development and analysis.


gong interface

gong interface

Gong offers a solution that maximizes the value derived from customer communications while minimizing manual efforts. By automating the capture and analysis of sales conversations, Gong equips sales and marketing teams with information to enhance the sales process.

Gong is a revenue intelligence platform leveraging communication data from various sources, such as phone calls, emails, and CRM information, to generate actionable insights. This comprehensive visibility into the sales process enables targeted messaging and promotes seamless collaboration between sales and marketing teams.

Customer Experience Optimization

AI tools can analyze customer interactions across multiple channels and touchpoints to identify pain points, optimize customer journeys, and improve overall customer experience. By leveraging AI-powered chatbots in marketing, businesses can provide instant customer support and gather valuable feedback.

Zendesk Explore

zendesk explore interfaceIt is a reporting and analytics tool that empowers businesses to analyze, comprehend, and disseminate critical business information. With Zendesk Explore, users gain access to a robust selection of prebuilt reports that offer insights into your customers, support resources, and other key metrics. Intuitive tools allow the creation of tailored reports effortlessly.

The reports can be shared with others within one organization on a one-time or recurring basis, ensuring seamless communication and alignment. Furthermore, Explore allows sharing reports with individuals outside of a support team. By harnessing the power of Zendesk Explore, businesses can effectively analyze data and foster collaboration across teams.

Ad Targeting and Optimization

AI in marketing can optimize ad targeting by analyzing user data, behavior, and preferences. Marketers can use AI-powered advertising platforms to create highly targeted and personalized ads, improving ad relevancy and increasing conversion rates.

Google Ads AI-Powered Targeting

Google AdsAI-powered targeting in Google Ads allows advertisers to reach the right audience with precision. It helps identify relevant keywords, demographics, interests, and browsing patterns to display ads to users who are most likely interested in the products or services being promoted. The AI algorithms continuously learn and adapt based on user interactions and campaign performance, refining targeting strategies over time.

This technology enables advertisers to maximize their advertising budgets by focusing on the most promising opportunities for conversions and engagement. It also allows for dynamic ad delivery, optimizing ad formats, placements, and bids to deliver personalized and relevant ads to individual users.

Competitive Analysis and Market Insights

AI marketing tools can gather and analyze vast amounts of data from various sources, providing marketers in-depth travel into market trends, competitor strategies, and consumer preferences. This information helps marketers stay ahead of the competition and make informed decisions.


similarwebIt is a digital market intelligence platform that provides data on website traffic, online engagement, and marketing strategies. It offers businesses and marketers a comprehensive view of their website performance and that of their competitors. SimilarWeb gathers data from various sources, including web browsing data, mobile app usage, and internet service providers, to provide comprehensive analytics and competitive intelligence.

AI is used in SimilarWeb to enhance data collection and analysis accuracy and efficiency. It helps in tasks such as estimating website traffic, identifying patterns in user behavior, predicting trends, and providing personalized recommendations. AI algorithms can assist in categorizing websites, identifying similarities between them, and generating insights based on user behavior and engagement metrics.

ROI Measurement and Attribution

AI-powered analytics tools can track and measure the effectiveness of marketing campaigns, attributing conversions and revenue to specific marketing efforts. Marketers can identify which channels and tactics are driving results, optimize their marketing spend, and demonstrate the ROI of their activities.

Adobe Marketo Measure (former Bizible)

bizibleBizible is a marketing attribution and revenue planning software solution acquired by Marketo (owned by Adobe), a leading marketing automation platform. The tools help marketers track and analyze the impact of their marketing efforts on revenue generation and customer acquisition.

With this solution, marketers can gain deeper insights into the customer journey and understand the channels, campaigns, and touchpoints contributing to conversions and revenue. It offers advanced attribution models, allowing marketers to allocate credit accurately to various marketing activities. This helps optimize marketing spend, improve ROI, and make data-driven decisions.


The latest technological advancements offer numerous opportunities for marketers aiming to make their brands stand out in today’s fiercely competitive landscape. However, we have doubts about AI replacing marketing specialists entirely. Professional marketers are likely to reap the benefits instead.

AI in marketing presents us with intelligent solutions that can aid us in winning the battle for customers. As an innovative marketing company specializing in startups, we leverage the power of AI to elevate our clients’ marketing outcomes. Our suite of AI marketing tools simplifies automation, enabling you to concentrate on what truly matters – growing your business. Reach out to us today and discover how we can enhance your marketing success with the latest AI technology!

AboutOleh Puhach
Head of Growth Marketing