In recent years, Artificial Intelligence paved its way deep into digital marketing, helping companies to enhance their customer experience. From advertising to in-depth research of their customer base, AI is able to leverage previously unavailable insights and deliver effective marketing campaigns, by catering to customers at an individual level.
COMPUTER VISION - Image Classification
Personalized Advertising is quickly becoming the cornerstone of an effective marketing strategy. Marketers need to have contextual awareness while displaying ads to their target audiences across different platforms. AI assists marketers to place contextually relevant ads that are most likely to resonate with their target audience. A Computer Vision solution can analyze the content that is being interacted with by the user, such as images and videos, and deliver personalized ads based on the content, in real-time. In a similar manner, Marketers can also place different versions of the same ad campaign, catered to the individual’s taste. AI is able to make contextual understanding much more accessible to marketers, and deliver their ad campaigns around this.
NATURAL LANGUAGE PROCESSING - Personalization and Recommendation
Influencer marketing is one of the most effective ways for brands to drive online interactions. Finding an influencer whose persona matches with a brand can be a challenging and tedious process. AI provides a means to automate this process and can be used to efficiently analyze influencers’ content. One solution is to use NLP and semantic analysis to quickly process text content created by the influencers, like post captions, blog submissions, marketing video transcripts to analyze an influencer’s personality, and how well they fit with a brand. The onboarding process becomes less resource-intensive, less time-consuming, and gives an accurate assessment of the influencer’s persona.
NATURAL LANGUAGE PROCESSING - Sentiment Analysis
The internet provides a large platform for consumers to provide their opinions of a brand, its products, and services. It is vital for companies to pay attention to what is being said about their brands and what the sentiment of their user base is. AI can be used to analyze brand mentions on social media, review forums, surveys, and feedback on the company’s platform. Using NLP and sentiment analysis, companies can quickly assess the sentiments of their audience, take cues for improvements or affirmative action, and reach out to users to resolve cases of negative feedback. Sentiment analysis can also help companies find people who want to engage with their brands and take action to interact with them.
Try out these ML models
Social Media Photo Categorization
Categorizing social media photos by food, people, and locations
Advertisement Sentiment Analysis
Understanding ads sentiment and topics
AI-assisted watermark detection from images using computer vision
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