Real-World Examples by Top Companies

Prime advertising groups from the most important firms implement AI at 2.5 occasions the speed of underperformers (Salesforce), and you may comply with their lead and use their AI in advertising examples to encourage your campaigns.

The likes of Amazon, Coca-Cola, Nike, and Spotify use AI to create higher buyer experiences, and in the end, enhance income and advertising ROI.

Examples embody generative AI product suggestions and descriptions (Amazon, excellent on your ecommerce retailer), and AI augmented actuality try-ons, which Google offers to assist its purchasing prospects visualize outfits and equipment.

This text consists of 10 AI advertising examples from which you’ll be able to take concepts, plus a primer on what AI advertising is, why it issues, and tricks to optimize your efforts.

What’s AI in advertising?

AI in advertising refers to software program that processes buyer information and automates advertising duties. It consists of chatbots answering questions, algorithms deciding which advertisements to point out, and instruments that write e-mail topic strains from prompts.

Key purposes:

• E mail platforms that phase lists robotically
• Instruments that write and take a look at advert copy variations
• Programs that predict when prospects may cancel
• Software program that personalizes web site content material for every customer

Ignoring AI means competing towards companies that take a look at 50 advert variations when you take a look at three, or ship completely timed emails primarily based on phase exercise whereas yours land randomly. The instruments exist, and so they’re inexpensive — utilizing them is not non-compulsory.

Why AI in advertising issues right this moment

Stanford reviews that 71% of companies using AI for marketing and sales see income beneficial properties.

Whereas some companies take a look at AI cautiously, others automate total workflows and pull forward. The expertise improves month-to-month, prices drop quarterly, and the hole widens.

Key advantages of AI in advertising:

• Personalization at scale: Ship distinctive messages to 10,000 prospects primarily based on their buy historical past and searching conduct
• Greater marketing campaign ROI: Check 100 topic strains concurrently to seek out what converts 3x higher and enhance your email marketing ROI
• Time reclaimed: Cease manually tagging contacts or scheduling posts when software program handles it robotically
• Predictive viewers concentrating on: Discover prospects who match your greatest patrons earlier than they even go to your web site
• Content material era velocity: Create a month’s value of social posts in a day
• All the time-on optimization: Let algorithms regulate bids and budgets 24/7 primarily based on area efficiency

These advantages multiply when mixed. The examples under present how profitable companies use AI to develop income, not simply save time.

Actual-world examples of AI in advertising

This part will introduce 10 synthetic intelligence in advertising examples from profitable manufacturers, starting from AI assistants to digital try-on instruments.

Corporations utilizing AI for advertising embody massive hitters like Amazon, medium companies like Zalando, and small retailers you may not have heard of. The purpose is that AI is accessible to all, and the examples under offers you a head begin in your advertising.

1. Zalando – AI purchasing assistant

Zalando’s ChatGPT-powered vogue assistant helps prospects navigate its large catalog conversationally. Ask “What ought to I put on for a marriage in Santorini in July?” and the AI understands formal occasions + Greek island + summer time climate.

The assistant refines outcomes by way of dialog. Preliminary strategies too informal? It adjusts to cocktail apparel. Want sizes or most popular manufacturers? Simply ask. For reference, try the instance above, which exhibits our seek for outsized blazers.

What you possibly can be taught from it

Construct AI assistants that perceive context past key phrases. A marriage in Santorini requires totally different clothes than one in London, so practice your AI to acknowledge location, season, and event nuances.

2. Google Buying – AI mode and digital try-ons

Google’s digital try-on makes use of a customized vogue AI mannequin that understands how materials drape on our bodies. Add a full-length picture and the expertise maps garments onto your form, preserving how denim stretches otherwise from silk, how pleats fall, and the place hems hit.

It really works throughout billions of things from Google’s Buying Graph. The AI maintains your physique proportions and pose whereas swapping clothes. Attempt on marriage ceremony visitor attire, trip shirts, and work pants, then save appears to be like or share with mates for suggestions.

What you possibly can be taught from it

Digital try-on works greatest for classes with excessive return charges, corresponding to vogue, eyewear, jewellery, and different gadgets that prospects battle to visualise on themselves. Use try-ons while you need to enhance buyer expertise with synthetic intelligence in advertising.

3. Coca-Cola – generative AI for inventive campaigns

Coca-Cola constructed Fizzion with Adobe to deal with 200+ manufacturers throughout 200+ nations. The AI watches designers work in Photoshop, learns their selections, then generates marketing campaign variations 10x quicker.

Design parts turn out to be “good.” For instance, logos and typography know find out how to behave throughout contexts. Fizzion produces tons of of localized variations from AI advertising campaigns, with correct languages and cultural variations.

What you possibly can be taught from it

Practice AI instruments in your design course of, not simply model tips. File how your group makes inventive selections, then use that information to automate repetitive localization duties.

4. Starbucks – personalizing in-app advertising

Starbucks’ DeepBrew AI platform powers personalization. The cell app tracks your orders and makes suggestions, corresponding to chilly brew when temperatures spike. Order the identical drink every day at 7 AM, and the app pre-loads it for one-tap ordering.

The backend runs otherwise. AI schedules baristas primarily based on foot site visitors predictions, manages bean stock by analyzing gross sales velocity, and routes cell orders to steadiness kitchen workload throughout stations.

What you possibly can be taught from it

Stability AI investments between backend effectivity and frontend expertise. Stock predictions lower your expenses, and personalised suggestions enhance gross sales.

5. Amazon – advice engines for ecommerce

Amazon rewrites product descriptions on the fly primarily based on who’s purchasing. Frequent gluten-free searchers see “gluten-free” leap to the entrance of cereal titles. Battery life obsessives get wattage and hours prominently displayed.

The AI pulls from buy historical past, deserted carts, and search patterns to determine what particulars matter to every shopper.

LLMs generate these personalised descriptions, then one other LLM audits them for accuracy. As an alternative of generic suggestions like “Extra like this,” customers see “Present packing containers in time for Mom’s Day” primarily based on latest searches.

What you possibly can be taught from it

Rewrite product descriptions dynamically. As an example, in the event you promote outside gear, spotlight waterproof scores for Pacific Northwest customers and UV safety for patrons in desert areas.

6. Boohoo – AI search options

Boohoo Group applied AI-powered search throughout its vogue manufacturers, together with PrettyLittleThing and BoohooMAN. 

When prospects seek for gadgets like “summer time attire,” “outsized hoodies,” or “blue denims” (as within the picture above), the AI analyzes their previous purchases and searching historical past to rank high sellers personally for every shopper.

What you possibly can be taught from it

Add search filters that be taught from buy historical past — prospects who purchase outsized clothes ought to see relaxed-fit gadgets first when looking out any class.

7. Nike – AI-powered personalization from buyer information

Nike faucets into 170 million loyalty members’ information to customise purchasing. Its Nike By You ecommerce function lets prospects construct trainers, and it recommends customizations primarily based on earlier exercise and preferences. 

Moreover, Nike makes use of buyer information to advocate merchandise. Seek for “trainers” and outcomes range wildly. One member sees cushioned trainers on the high, one other will get minimalist racing flats. Previous purchases, app searching, and even exercise information feed the algorithm.

What you possibly can be taught from it

Mix buy information with exercise information from different touchpoints to achieve a complete view of buyer conduct. If prospects use your health app, recipe weblog, or fashion quiz, feed these insights into product suggestions.

8. Netflix – advice algorithms

Netflix’s 260 million members generate large viewing information that feeds advice fashions. The system tracks watch time, completion charges, thumbs up/down scores, machine switching, pause factors, and rewind conduct.

Members who watch Korean dramas at midnight get totally different strategies than those that watch nature documentaries on Sunday mornings. Homepage rows change primarily based on particular person patterns. Somebody who binges total seasons sees “Binge-worthy TV Reveals.”

What you possibly can be taught from it

Copy Netflix’s thumbnail testing strategy. Present totally different product pictures to numerous buyer segments primarily based on their buy historical past, after which measure which variations generate essentially the most clicks.

9. Spotify – AI-curated playlists and “Spotify Wrapped”

Spotify’s algorithm tracks skip charges, replay counts, and listening occasions to construct style profiles. Uncover Weekly finds 30 new tracks by analyzing songs you save versus skip, matching your style towards comparable listeners.

The 2024 Wrapped marketing campaign added AI-generated podcasts the place two AI hosts talk about your listening habits, explaining why sure songs dominated your 12 months.

The DJ function makes use of generative AI to introduce tracks with context, creating radio-style transitions between songs primarily based in your preferences.

What you possibly can be taught from it

Flip buyer information into shareable moments. Wrapped works as a result of individuals need to broadcast their music style, which additionally offers Spotify with free advertising by way of social posts.

10. Google Advertisements – AI good bidding automation

Google’s Good Bidding adjusts bids for each search in real-time. It analyzes indicators like machine, location, time, and previous conversions to foretell who will purchase. Set a Goal ROAS of 400% and it bids larger on searches prone to hit that aim, decrease on ones that received’t.

An out of doors retailer sees bids robotically enhance for “waterproof boots” throughout Seattle rain, whereas dropping for Phoenix summer time searches. You should use an analogous context to construct the perfect AI promoting campaigns in your trade.

What you possibly can be taught from it

Check Good Bidding on one marketing campaign first, not your total account. Google wants conversion information to be taught what works, so feed it your highest-traffic marketing campaign and develop from there.

AI in digital advertising automation

The very best synthetic intelligence in digital advertising examples aren’t restricted to Fortune 500 firms anymore. Advertising and marketing automation platforms like Omnisend embody AI tools that give your online business the identical capabilities as the most important enterprises. Right here’s a breakdown:

Superior viewers segmentation

Building segments manually takes hours and misses hidden patterns. Omnisend’s AI phase builder creates audiences from easy prompts, corresponding to “prospects doubtless to purchase once more this month” or “excessive spenders who haven’t bought not too long ago.” 

The AI can use buy historical past, searching conduct, and engagement patterns to construct segments that convert higher than handbook lists.

Omnichannel automations

Omnisend’s automations coordinate e-mail, SMS, and push notifications primarily based on buyer conduct. Cart deserted? E mail deploys first. No open after 24 hours? SMS follows with a reduction code. Nonetheless no motion? A push notification creates urgency.

It consists of 25+ pre-built templates you possibly can customise, or you possibly can construct from scratch. Add SMS to any template and layer push notifications onto current sequences. Every channel respects buyer preferences and optimum timing.

Customized product suggestions

Omnisend’s Product Recommender robotically selects the precise merchandise for every buyer. It analyzes what prospects purchased collectively, particular person buy historical past, and searching patterns. 

If somebody purchased trainers, they’ll see operating socks and water bottles — not random bestsellers. These suggestions replace hourly and work throughout emails, popups, and SMS.

Automated topic strains

Give Omnisend’s free AI subject line generator one subject and watch it spin out variations. “Winter sale” turns into “Final probability: winter offers finish tonight 🎿” or “Your winter wardrobe awaits” or “Bundle up and save 40%”. 

Every model makes use of totally different psychological triggers — urgency, personalization, and worth. You possibly can then refine and create A/B checks to find out which variations have the very best open charges.

Topic line era is likely one of the best examples of AI in advertising automation as a result of it immediately impacts your e-mail’s ROI.

Dynamic template personalization

Overlook creating 50 totally different emails for 50 buyer segments. With Liquid templating, you possibly can drop in [[contact.first_name]] and Sarah sees “Hello Sarah” whereas Mike sees “Hello Mike.” However that’s just the start for personalized emails.

Conditional statements present or conceal total sections. New prospects see welcome messages with [% if contact.tags contains ‘first_purchase’ %]. VIP patrons get unique gives when their order complete exceeds your threshold.

Watch this video for a lighthearted tackle Omnisend’s AI instruments:

The way forward for AI in advertising

Using AI in advertising is predicted to develop month-to-month. Textual content instruments will write higher copy. Picture mills will match company work. Video AI will create TikTok advertisements, and beneath all that, the instruments you utilize will turn out to be extra inexpensive due to rising competitors.

Three shifts altering the sport:

• Deep personalization: AI customizes costs, merchandise, and messages on your prospects
• Conversational AI: Voice and chat deal with advanced buyer points with out scripts or human intervention
• Predictive analytics at scale: It spots traits and buyer wants earlier than they turn out to be obvious and want motion

Challenges that might maintain AI again:

• Buyer information breaches enhance as AI methods interconnect
• AI platforms you turn out to be depending on go down
• Content material era reduces in high quality over time as a consequence of a rise in low-quality information feeding the machine

AI received’t substitute your advertising group — it’ll make them simpler at understanding what prospects need and make it easier to construct higher buyer experiences.

Key takeaways: Getting began with AI in advertising

Our in-app, try-on, and generative AI in advertising examples present blueprints for creating your personal distinctive model experiences. However earlier than diving in, comply with these pointers for achievement:

• Check AI in your most vital time drain first. In the event you spend hours writing product descriptions, strive AI copywriting. Drowning in customer support emails? Begin with a chatbot. Decide the ache level that’s consuming most of your day.
• Run AI instruments in parallel with present strategies for 30 days. Examine conversion charges, time saved, and accuracy to find out the best choice. Numbers let you know what works, not vendor guarantees.
• Join AI to your current information sources. Your CRM, stock system, and previous campaigns. Fashions skilled in your buyer conduct will outperform generic ones.
• Select platforms the place AI matches your present workflow. Omnisend integrates AI into your current e-mail advertising. Google Good Bidding optimizes advertisements with out altering your marketing campaign construction.

Do not forget that AI isn’t a substitute on your group, even when instruments provide brokers. Use instruments to enhance and increase your advertising, not deal with all of it.