Brennan Whitfield | Jan 24, 2024

AI in marketing and advertising has changed how companies sell their products and services in big ways. Ad campaigns are being greatly enhanced by artificial intelligence-driven platforms, with 26 percent of companies using the technology to increase metrics like customer engagement, conversion rates and EBITDA margins.


How Does AI in Marketing Work? 

AI in marketing and advertising is used to segment customers, message them at optimal times and personalize campaigns. Oftentimes, AI also works to automate these processes to save businesses time and money.

These companies below use AI to create advertising campaigns and fine-tune marketing strategies.


22 AI in Marketing Examples

AI in Marketing Examples

  • Automate lead outreach and meeting scheduling.
  • Identify prospective customers.
  • Provide chatting and customer support services.
  • Tailor product ads.
  • Track performance analytics and campaign results.


Location: Stamford, Connecticut

Spectrum’s vast suite of connectivity services, which include internet, telephone and television, make use of AI in video advertising by allowing advertising customers to create highly produced, brand-coherent AI-generated commercials with voice overs in just minutes. This feature, part of a growing trend toward AI-enablement in advertising, is delivered through partnership with AI video startup Waymark. 


Location: Denver, Colorado

AdCellerant is a digital marketing agency serving businesses with tech solutions for everything from email marketing and YouTube campaigns to web development and programmatic display advertising. The company has integrated AI capabilities into its product portfolio, which provides insights and software tools to support effective marketing campaigns across multiple countries and markets.


Location: New York, New York

Vidmob runs a platform that allows marketing and creative teams to upload their work and collaborate on projects with curated professional creators, as well as access analytics and creative scoring to optimize their content. VidMob uses AI to come up with the scoring, which is essentially a predicted assessment of how successful the video will perform on a range of platforms, with suggestions for how to improve.


Location: Palo Alto, California

Publica offers an adtech platform for connected TVs, which are televisions that can stream video from the internet, such as Smart TVs. Publica’s proprietary Elea AI uses machine learning algorithms to predict which advertiser’s content is about to run an ad program, allowing ad publishers to make strategic choices around controls like ad frequency caps, advertiser block lists and competitive separation.


Location: Boston, Massachusetts

Affectiva is helping brands gather insights from qualitative observations with its emotion AI toolkit. Relying on features like sensors and webcams, the company is able to diagnose consumers’ emotional reactions to marketing content. Teams can then learn from these analyses to rework confusing content, emphasize compelling elements and craft positive brand experiences for customers.


Location: New York, New York

Businesses rely on EliseAI’s conversational AI platform to automatically and quickly respond to customer questions and requests. The technology — which works across text, chat and email — doesn’t just reply to queries. It also executes specific tasks based on customers comments, all while maintaining a “human touch.”

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Location: Mountain View, California

Google’s responsive search ads enable marketers to enter up to 15 headlines and four description lines. With the Google Ads feature, entrepreneurs can jumpstart their businesses by tailoring their ads to geographic range, budgetary needs and other factors. This tool also pairs well with Google Cloud, which relies on AI and machine learning to deliver even more in-depth audience insights to marketers.


Location: Santa Monica, California

GumGum develops applied computer vision technology that advertisers and marketers can use to place ads more strategically. The company’s contextual intelligence platform Verity uses AI technology to scan videos and images that span multiple platforms, helping marketers provide more relevant ads, maintain a positive brand image and increase engagement and brand recall.


Location: Armonk, New York 

IBM empowers companies to fine-tune their marketing strategies with AI. The AI assistant IBM Watson locates prospective audiences, selects relevant creative content and engages target audiences in one-on-one conversations. As a result, businesses have found better ways to spend their marketing budgets while shaping ad campaigns around audiences’ interests.


Location: New York, New York

RTB House is set on improving online brands by using AI in advertising. The company uses its deep learning ad campaigns and ad-buying engine to help brands drive sales and complete pure branding and personalized retargeting. The company has worked with businesses like eBay, Steven Madden, Audi and Miinto.


Location: San Francisco, California 

Salesforce equips teams with the ability to develop personalized marketing campaigns with the company’s Marketing Cloud. Not only does this platform compile customer data, but it also collects insights when customers engage with a campaign. Teams then gain a holistic perspective of their audiences and can make adjustments on the fly, resulting in AI marketing content that meets the changing preferences of potential customers.


Location: New York, New York

Yext helps customers find answers to questions about a business with its AI-powered product suite. The company’s platform stores all relevant info in a database called a Knowledge Graph. A business can then access this data to provide answers to search queries, build SEO-friendly web pages, share listings on third-party publishers’ platforms and monitor online reviews. With Yext’s analytics feature, companies can also gather insights on their products’ performance and make adjustments accordingly.

Related23 Machine Learning in Marketing Examples


AI in Marketing. | Video: Siraj Raval


Location: Fully Remote 

To build stronger bonds between brands and customers, Ada has developed an AI-based customer service automation platform. Companies can rely on Ada’s technology to scale customer support, save time for sales agents and initiate timely interactions and connect with consumers across digital and social channels. Now businesses can provide 24/7 service and simplify repetitive tasks while refining their outbound messaging strategies.


Location: New York, New York

Albert Technologies makes artificial intelligence solutions for brands and agencies. The software operates along entire customer lifecycles across channels like Google Ads, Facebook, Instagram, Youtube and Gmail. Albert, the company’s autonomous digital marketer, executes campaigns from start to finish and delivers insights from cross-channel data to help marketers improve future campaigns.


Location: Santa Monica, California

Bliss Point Media is an agency that uses machine learning and AI in advertising to inform clients’ ad-spending decisions. The company’s technology locates affordable ads on a range of social channels and measures the results of campaigns through real-time data. Businesses can then diversify their marketing strategies while defining campaign success based on site visits, subscriptions or other metrics.

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Location: Foster City, California 

To avoid overlooking prospects within the marketing funnel, teams can cover more ground with Conversica’s conversational AI assistants. These GPT-powered assistants use natural language processing to engage humans in two-way conversations across a range of formats, including web, email and SMS. With the ability to adapt to various scenarios, Conversica’s AI technology can screen leads, set up meetings, perform outreach and complete other tasks to save marketers time.


Location: New York, New York

Dstillery connects marketing teams to the most up-to-date target audiences with its AI technology. The company analyzes each client’s first-party data to build a Custom AI Audiences model, which determines potential customers based on a brand-specific customer profile. This tool reevaluates a company’s audience every 24 hours, ensuring customer databases are current and giving businesses the best chance at converting prospects into customers.


Location: Las Vegas, Nevada

Influential is an influencer marketplace that employs AI through IBM’s Watson to suggest social media influencers to brands and companies. With Market Intelligence, the company analyzes data to identify relevant influencers for brands based on audience demographics as well as psychographic and contextual data. Influential’s platform also takes brand safety into account, making it an ideal tool for developing creative strategies, marketing campaigns and optimized paid media.

RelatedWhat Is MarTech?


Location: Santa Barbara, California

Invoca uses AI to provide call tracking, analytics and conversation intelligence services for marketers, attributing calls to specific digital campaigns. The AI platform simplifies attribution by analyzing live phone conversations and creating machine learning models to give accurate views of actionable data and conversions. Marketing teams can then spot consumer trends and make automated adjustments to their campaigns.


Location: Fully Remote

Mutiny is a no-code platform designed to help businesses convert website visitors into customers. The company creates personalized experiences for targeted audiences by implementing AI suggestions, which can influence webpage content and pinpoint audiences businesses should target. Once suggestions are displayed, companies can make necessary edits to web pages and campaigns, so the most relevant information is highlighted to viewers.


Location: San Francisco, California

Quantcast’s AI and machine learning engine Ara helps brand marketers and agencies make data-centric decisions by studying audiences’ behavior patterns and gleaning campaign insights in real time. The company’s platform also remains compliant with consumer privacy standards, so teams can build predictive models and adjust ads while respecting their audiences’ boundaries.


Location: Venice, California

Thankful designs artificial intelligence for businesses to use to level up their customer support across text-based channels like email, SMS and chat. The company’s AI-powered suite automates routes, assists, tags and resolves common customer issues. Some of the features of Thankful’s products include language translation, ticket merging, OMS integration, fraud alerts and trend analytics.

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