Search Engine Optimization

The last quarter of the year is one of the most lucrative and competitive times of the year for businesses. With the Diwali and Dussehra celebrations, Christmas, New Year, end of year sales and other promotions during this period, customers are easier to reach, but so are other competing businesses.

Understanding the application of various concepts in the unique ecosystem of digital marketing is even more important due to the rapid changes in user behavior, platform innovation, marketing technologies, AI and automation software, and analytics tools. A student may have studied content marketing, social media marketing, search engine optimization, and automation, but only practical experience can provide the understanding of how to connect such concepts to the specific business goals.

Technology has completely changed how businesses attract customers, how they communicate with and analyze the impact of their communication on their target audience, and how businesses measure their marketing performance. Technology has been driven primarily by marketing. AI has disrupted this yet again by enabling marketing teams to analyze data, automate repetitive tasks, personalize communication, and create content.

Automated AI HR systems help growing businesses organize hiring information, creating structured workflows that can automate tasks like scheduling interviews, sending candidate status updates, etc. These systems help hiring managers create shortlists and assist in other time consuming tasks.

Individuals adapt their search methods. With their abilities to speak questions, smart devices like phones and some cars receive spoken requests for information. Spoken requests evolve beyond single terms. They may cross multiple terms and include questions. Examples may be something like, “What is the best digital marketing agency near me?” or “Which hospital is open today?”

In the age of artificial intelligence, business generation, automation, and intelligent automation, the business intelligence field has turned large assets of data into smaller actionable assets. Rather than relying upon assumptions or the (often) incomplete reporting, intelligent systems have the ability to provide performance data, identify trends, and provide the business with the ability to make decisions that will benefit the company long term.