Marketing

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How to Leverage AI in Marketing

AI is transforming the marketing and advertising landscape, offering businesses a myriad of ways to improve their campaigns and achieve better results. Here are some tips on how to leverage AI in marketing and advertising:

  • Use AI to understand your customers better. AI can help you analyze vast amounts of customer data to identify patterns, trends, and correlations. This information can be used to create more accurate buyer personas, segment your audience more effectively, and develop more personalized marketing messages.
  • Use AI to automate tasks and workflows. AI can automate many repetitive and time-consuming tasks, such as social media posting, email marketing, and ad campaign management. This frees up your marketing team to focus on more strategic initiatives.
  • Use AI to personalize your marketing campaigns. AI can help you tailor your marketing messages to each individual customer's needs and interests. This can be done by analyzing their past purchase behavior, website browsing history, and other data points.
  • Use AI to optimize your advertising campaigns. AI can help you optimize your ad campaigns for performance and reach. For example, AI can be used to identify the best keywords to target, set the right bids, and choose the most effective ad placements.

Here are some specific examples of how AI is being used in marketing and advertising today:

  • Netflix: Netflix uses AI to recommend movies and TV shows to its users based on their viewing history.
  • Amazon: Amazon uses AI to personalize its product recommendations and search results.
  • Google: Google uses AI to target ads to users based on their online behavior and interests.
  • Facebook: Facebook uses AI to identify and recommend relevant social media groups and pages to its users.


If you're looking to leverage AI in your marketing and advertising campaigns, there are a number of tools and resources available to help you get started. Here are a few tips:

  • Start small. Don't try to implement AI across all of your marketing and advertising efforts at once. Start by identifying a few key areas where AI can make a big difference.
  • Do your research. There are a variety of AI marketing and advertising tools available. Take the time to research different options and choose the ones that are right for your business.
  • Get your team on board. AI is a new technology for many marketers. It's important to educate your team on how AI works and how it can be used to improve your marketing and advertising campaigns.

Meta’s AI Advertising Tools

Meta rolls out AI ad features to boost creativity and productivity for advertisers after positive tests. | Matt G. Southern - Search Engine Journal]

Meta is rolling out the following three tools to advertisers:

  • Background Generation: Allows advertisers to automatically create multiple backgrounds to complement their product images.
  • Image Expansion: Seamlessly adjusts image sizes to fit different ad formats like Facebook Feed or Instagram Reels.
  • Text Variations: Generates multiple versions of ad copy using the advertiser’s original text. The AI highlights product features and suggests text to better reach target audiences.

Lead Scoring

Lately

Your unique voice. Tailored to your unique audience. At scale.

Lately's AI learns any brand or individual voice and the exact content that will convert your target audience, delivering higher social media performance for sales and marketing teams across the globe. And by higher, we mean waaaaay higher. Lately AI is a social media post generator that uses artificial intelligence to learn any brand or individual voice and the exact content that will convert their target audience, delivering higher social media performance for sales and marketing teams across the globe1. Lately AI’s artificial intelligence studies what your social media audience wants to watch, hear or read and then builds you a custom writing model, based on what it learns. Then it uses that writing model to automatically repurpose any longform video, audio or text into dozens of pre-tested social media posts, based on what it learns.

NLP -Based Brand Awareness and Market Research

It’s difficult to develop actionable business strategies when you don’t know how customers feel about your brand. By using Sentiment Analysis and getting the most frequent context when your brand receives positive and negative comments, you can increase your strengths and reduce weaknesses based on viable market research. NLP-based software analyzes social media content, including customer reviews/comments, and converts them into insightful data. Natural Language Processing (NLP) Use Cases For Business Optimization | Ilia Iorin - MobiDev

How Does This Algorithm Work?

  1. Analyze an entire list of comments and classify them using a Sentiment Analysis model.
  2. Get the most frequent words and phrases from both positive and negative comments.
  3. Perform market research based on the data collected.

Based on this algorithm, it is possible to assign a value to the output information. This value might be considered as a positive, negative, or neutral emotion. Marketers can use this data to make more informed decisions in their marketing strategies and campaigns.

NLP-Powered Competitive Analysis

Most founders will conduct competitor analysis and research when starting a business. This task enables them to better understand their market, competitors, customers, and other important details about their industry. There are dozens of tools available to help entrepreneurs monitor their competitors. NLP-powered engines like Zirra simplify the process for automatically building a competitive landscape. When Zirra analyzes something, it gathers a list of companies and ranks them from zero to one. This rank shows how closely these companies are related to each other using a multimodal semantic field. The algorithms solutions like Zirra create the list of companies by scanning the Internet for articles and putting the data into an NLP module that closes out semantic relationships between companies. Natural Language Processing (NLP) Use Cases For Business Optimization | Ilia Iorin - MobiDev

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