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Leveraging AI for Enhanced Digital Marketing Campaigns | Case Study

Leveraging AI for Enhanced Digital Marketing Campaigns


Key Takeaways

  • Are you using AI content generation yet?
  • The benefits of AI content generation far outweigh its potential challenges.
  • Read our latest case study to witness the power of AI content generation by 5 big brands!


Digital marketing in 2024 is turning heads and stopping the doomsday scrolling!

All because of AI-powered digital marketing campaigns and marketing strategy.

Digital marketing, back in the no-AI era, was struggling to garner results. But with AI, the competitive edge, user personalization and boosted ROI are made possible seamlessly.

In this case study, we will help you with real-world examples of 5 top brands across different industries as well as free AI tools for marketing that will power your AI content generation!

If you are a business owner, an AI expert, a digital marketer, or a marketing enthusiast, this case study will leave you rooting for AI content generation.

Business Overview

The 5 big businesses we are covering in this case study are:

Amazon

  • They are the biggest e-commerce platform of 2024!
  • Net worth (2024) is USD 2.09 trillion.
  • Market share (2024) is 37.6%.
  • App downloads: 19 million (iOS) and 27 million (Android).

Spotify

  • The most hyped music listening platform of 2024!
  • Net worth (2024) is USD 78.55 billion.
  • Market share (2024) is 37%.
  • App downloads: 7 million (iOS) and 21 million (Android).

Starbucks

  • The Coffee Maestros of 2024!
  • Net worth (2024) is USD 108.91 billion.
  • Market share (2024) is 24.8%.
  • App downloads: 2 million (iOS) and 700,000 (Android).

Airbnb

  • The home away from home experts of 2024!
  • Net worth (2024) is USD 89.09 billion.
  • Market share (2024) is 30.19%.
  • App downloads: 3 million (iOS) and 3 million (Android).

Uber

  • The Cab experts of 2024!
  • Net worth (2024) is USD 156.48 billion.
  • Market share (2024) is more than 76%.
  • App downloads: 7 million (iOS) and 9 million (Android).

Now that you know the key facts about these brands, let us get to understand how they achieved them via AI content generation.

Problem Statement

Every company has unique problems and thus requires unique solutions.

The brands in question also had unique issues of their own.

Amazon

They used to follow item-to-item collaborative filtering, which meant that they would only show those items as suggestions that were similar to the ones browsed or shopped by a user.

This meant that a lot of other products will not get visibility!

Spotify

They wanted to create personalized playlists for their users!

This was a never-been-done-before task and thus will become their USP or unique selling point.

Starbucks

They had global coverage and thus needed a way to connect deeply with their customers to boost customer loyalty and sales.

Airbnb

They needed dynamic pricing so that the pricing as well as availability of residential spaces could change on a real-time basis.

Uber

They wanted to optimize driver allocation and decrease waiting times so that the driver earnings could increase.

As you can see, the goals of all five businesses were somewhat related to real-time changes while covering a wide array of users across the globe.

Solutions

They all had to use AI content generation one way or another to ensure successful completion of their colossal tasks.

Amazon

Amazon used Amazon Personalize which is a machine learning or ML-based service run on AWS (Amazon Web Services).

It allowed the creation of custom engines for recommendations to cater real-time personalized recommendations to its users.

It uses,

  • User purchase history,
  • Browsing history,
  • Ratings & reviews,
  • Time spent per page, and
  • Contents of Shopping Carts to make these recommendations.

Spotify

They used revolutionary AI algorithms that crafted personalized playlists for users by learning from their data.

It uses,

  • Data Collection & Processing (user history, skips, likes, playlists, and interactions),
  • Feature Extraction (genre, mood, tempo, day of the week, and time of the day),
  • Collaborative Filtering (artists and songs based upon similar user preferences),
  • Content Filtering (rhythm, instruments, and melody),
  • Machine Learning (logistic regression, neural networks, and gradient boosting),
  • Playlist Generation (familiar favourites, new discoveries, and related tracks),
  • Real-time Updates (user interactions, preferences, and feedback), and
  • Evaluation & Feedback Loop (playlist retention, user engagement, and skip rates) to ensure their personalized playlists stay relevant to the users.

Starbucks

They used AI-powered customer engagement software that used ML to analyze the recommendations, targeted offers, and customer data.

It was integrated with the digital channels, loyalty programs, and mobile apps of Starbucks.

Its vital features are as follows:

  • Personalized Offers (uses ML to deliver custom and personalized offers)
  • Predictive Analytics (used to anticipate customer needs)
  • Dynamic Pricing (pricing varies on a real-time basis)
  • Recommendation Engine (delivering personalized menus to users)
  • Real-Time Engagement (Personalized notifications via SMS, email, and mobile app)

Airbnb

They needed to ascertain pricing depending upon demands, special events, and seasonality.

Thus, they brought in dynamic pricing software that uses ML to analyze the market and set the rental rates accordingly.

It also takes into account past bookings, competitor pricing, and other factors to have dynamic pricing!

It helps in ensuring maximum pricing for the hosts.

Uber

They wanted to optimize their operations and thus utilized an AI-powered predictive analytics system that used past rides data, weather conditions, traffic patterns, events, and other factors to facilitate the best possible allocation of cabs.

Its key features are:

  • Data Collection (detailed user ride data)
  • Machine Learning Models (regression analysis, time-series prediction, and neural networks)
  • Demand Forecasting (using time of the day, weather conditions, and day of the week)
  • Driver Allocation (predicted demand, driver availability, and redistribution of drivers)
  • Real-Time Updates (real-time inputs like ride requests, traffic conditions, SOS requests, driver locations, and weather conditions)

All the above solutions use ML & AI to learn about their consumers and markets on a real-time basis.

Then, AI content generation was leveraged to cater better user experiences.

Results

We are sure that you must be waiting to know the results of all the AI content generation upgrades these five businesses undertook.

So, without any further ado,

  • Amazon significant sales (35%) happen because of their personalized recommendations.
  • Personalized playlists became the USP of Spotify and are the reason behind 40% of their regular userbase.
  • Starbucks was able to boost customer loyalty, have a larger order value (average), improve sales, and enhance the customer experience.
  • Airbnb witnessed higher booking rates and host earnings, and thus hosts who leverage their dynamic pricing earn 40% more than the hosts that don’t.
  • Uber was able to reduce waiting time, boost driver earnings, enhance reliability, and improve operational efficiency.

In short, AI content generation is helping big brands stay on top of their industries.

Can you imagine what it can do for your business?

AI Tools for Marketing: Bonus

As promised, we are sharing the list of top marketing tools powered by AI, some of which will be free AI tools for marketing, whereas others might be paid!

AI Content Generation

You can use the following AI tools for content creation:

  • CoSchedule is one of the AI tools for content creation that helps in content ideation as well as planning.
  • Jasper artificial intelligence and Copy.ai help with AI content generation.
  • Grammarly and ProWritingAid are top marketing tools that help in content editing as well as proofreading to assist marketing in AI content generation.
  • Lumen5 is one of the free AI tools for marketing that helps with visual content creation via AI!
  • DeepL and Google Translate help in AI-driven marketing localizing the content.

AI Tools for SEO or Search Engine Optimization

Here are some AI tools for search engine optimization:

  • Semrush and Ahrefs are the top marketing tools that help in keyword research as well as analysis using ai driven marketing
  • SurferSEO and MarketMuse are AI tools for content creation and help in optimizing the content for SEO.
  • Botify and DeepCrawl help in achieving Technical SEO.
  • Google Analytics and Moz Pro are free tools for marketing major used for tracking the SEO performance.
  • Jasper artificial intelligence is the future of digital marketing and can help with automating the routine SEO tasks!

AI Tools for CRM or Customer Relationship Management

Here are the AI tools that can help you with customer relationship management:

AI Tools for Ads and PPC or Pay-Per-Click

Here are the AI tools for PPC and Ads:

AI Tools for SMM or Social Media Marketing

Here are the AI tools for social media marketing:

AI Tools for Email Marketing

Here are the AI tools for email marketing:

  • Mailchimp helps in automatic personalization as well as segmentation of emails.
  • SendGrid helps in optimizing frequency and send times of emails.
  • ClickUp helps in avoiding the spam filters.

AI Tools for Marketing Analytics

Here are the AI tools for marketing analytics:

Now you are well equipped for AI usage in your digital marketing campaigns!

Conclusion

AI usage is inevitable in our century!

So instead of waiting for it to become an industry standard, your brands should be experimenting with AI content generation right now.

Because currently there is time to make mistakes and learn the right mix of AI tools needed to reign on top of your industries.

Thus, use AI content generation tools to be the leading voice of the future of digital marketing!

Wildnet Technologies is a leading Digital Transformation Company in India that has been helping its clients in the domestic market via AI-powered digital marketing services.

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