Using AI for More Than Content Creation: Harsh Kedia

Authored by Harsh Kedia CEO and Co-founder, Auburn Digital Solutions

Without a strong strategy, planning, and marketing in place, a firm cannot succeed. For a brand to succeed, its target consumer must see and hear it. Print media have traditionally dominated in this area. In the twenty-first century, marketing techniques have undergone a significant change due to new technology and more client connection channels.

What precisely is AI? How effective is AI-based marketing for brands? Answers to these queries are available from Auburn Digital Solutions, who will also walk you through what they do for their clients.

Beyond just content creation and writing, AI is drastically altering the digital advertising landscape. With the help of AI, marketers can target audiences more accurately and segment their customer bases more effectively. Additionally, it can aid in personalisation by enabling advertisers to modify their creative and content in accordance with a user's preferences and interests. AI can be used to automate manual processes including campaign organization, delivery optimisation, and ad spends management. AI also aids in performance tracking and analysis, fraud detection, and protection against bad actors. Deeper user engagement insights can be provided by AI-driven analytics, assisting marketers in making fact-based decisions. Chatbots with AI can be used to improve consumer engagement and interaction.

Personalisation: By personalising ads based on customer data, AI-powered consumer segmentation enables marketers to create advertisements for specific customers. Customers will enjoy the advertisement experience more as a result, increasing the likelihood that they will become paying clients. Techniques like SEO optimisation, SEM, keyword analysis, and even relevant hashtags are useful for enhancing marketing personalisation and boosting sales. Monitoring current customers' internet activity and gathering data on potential new ones is made simple by AI. Predictive analytics can be carried out by the use of algorithms, digital learning, and activities. It aids in crisis management and, in the end, enhances consumer satisfaction to foster brand loyalty.

Dynamic Creative Optimisation: Dynamic Creative Optimisation, a type of automated advertising technology, aids in enhancing the efficiency of digital advertisements. DCO can proactively modify display advertisements, mobile ads, or video ads in response to shifts in user behaviour, search terms, and other user data by utilising artificial intelligence. It tracks each advertisement's outcomes and adaptively modifies the visual components in response to viewer involvement, enabling businesses to increase conversion rates and return on investment. Additionally, DCO provides comprehensive reporting capabilities that let marketers quickly track, analyse, and evaluate their campaigns so they can decide on ad budgets and targeting with confidence.

The target audience is more likely to be interested in suggestions of products and services if they are based on consumer searches. Artificial intelligence helps you identify the precise good or service that the customer was searching for and promotes your brand as something they would be interested in or looking for.

Conclusion

AI is evolving and improving with time to better connect with your audience. It will continue to entangle itself with marketing strategies and brand building. AI has made it possible to connect with the consumers deeply through marketing, personalised recommendations, automation and a sense of data security.