{"id":103774,"date":"2024-07-05T08:45:42","date_gmt":"2024-07-05T14:45:42","guid":{"rendered":"https:\/\/www.vendasta.com\/blog\/?p=103774"},"modified":"2026-01-08T02:42:31","modified_gmt":"2026-01-08T02:42:31","slug":"ai-skills","status":"publish","type":"post","link":"https:\/\/www.vendasta.com\/blog\/ai-skills\/","title":{"rendered":"AI Skills You Need to Propel Your Digital Marketing Agency to the Future"},"content":{"rendered":"

Chances are, you used AI today in your everyday life or workflows. <\/span>AI<\/span><\/a> has become ingrained in common tasks. If you checked social media, ordered something off Amazon, or watched Netflix, you were involved in a process with built-in AI.<\/span><\/p>\n

With such technology becoming a part of day-to-day living and work, AI skills<\/strong> are becoming more important for <\/span>digital marketing<\/span><\/a> agencies.\u00a0<\/span><\/p>\n

The right AI skills let you position your agency as a leader and innovator, helping clients manage marketing in a world that is tech-heavy. Discover eight AI skills that can help your agency grow in the future below.\u00a0<\/span><\/p>\n[et_pb_section global_module=\"113334 \"][\/et_pb_section]\n

1. Prompt Engineering<\/span><\/h2>\n

What Is It?<\/span><\/h3>\n

Prompts are the inputs fed to AI models that generate outputs. For example, if you ask ChatGPT<\/a> a question, that\u2019s a prompt that it then answers.\u00a0<\/span><\/p>\n

\"Prompt<\/p>\n

Prompt engineering involves designing and refining the input to get a more desired output. For instance, if you want AI to generate viable product descriptions for a client, you must work to create specific prompts with the right information to ensure that the outputs are accurate and adhere to client style requirements. <\/span><\/p>\n

The goal is typically not to get publish-ready content from AI but to minimize the time you have to spend <\/span>humanizing AI content<\/span><\/a> to make the output ready.\u00a0<\/span><\/p>\n

Why Is It Important?<\/span><\/h3>\n

The compound annual growth rate (CAGR) for the prompt engineering market is expected to grow at the astounding rate of 32.8 percent from 2024 to 2030 (<\/span>Grand View Research<\/span><\/a>), making this one of the top growing skills for AI processes. It\u2019s important because perfecting prompts is currently the best way to ensure optimal outputs from AI models.\u00a0<\/span><\/p>\n

2. Understanding of LLMs (Large Language Models)<\/span><\/h2>\n

What Is It?<\/span><\/h3>\n

Large Language Models are complex AI systems that can understand human language and generate responses to inputs as a human would. They work by analyzing enormous amounts of existing text data and using that information to mimic the nuances of human language.\u00a0<\/span><\/p>\n

Why Is It Important?<\/span><\/h3>\n

The CAGR for the LLM market is even more impressive than the CAGR for prompt engineering. Estimates put growth at 79.80 percent through 2030 (<\/span>Springs<\/span><\/a>). LLMs can be useful in conducting research and generating content drafts for email, blog posts, <\/span>social marketing campaigns<\/span><\/a>, and PPC ads.<\/span><\/p>\n

For digital agencies, LLMs are positioned to drive content scale, as they help human teams create more content in less time.<\/span><\/p>\n

3. Understanding of NLP (Natural Language Processing)<\/span><\/h2>\n

What Is It?<\/span><\/h3>\n

Natural Language Processing is a branch of AI that focuses on creating artificial human language responses. This is the technology that helps drive LLM functionality, but it\u2019s also critical to a variety of other AI processes.<\/span><\/p>\n

For instance, NLP tools can ingest large amounts of text and transform that data into summaries or actionable insights for marketing teams.\u00a0<\/span><\/p>\n

Why Is It Important?<\/span><\/h3>\n

For marketing professionals, NLP technology can be a game changer in growth and the ability to serve many clients without adding human resources. It can help you extract actionable data from customer emails, social media posts, online reviews, and other sources.<\/span><\/p>\n

Teams leverage this technology to improve customer experiences, optimize marketing campaigns, and make business decisions about services or products.\u00a0<\/span><\/p>\n

Natural Language Processing is of growing importance to businesses in all sectors. Some sectors holding the highest market share in NLP include business and legal services, media and entertainment, energy, healthcare, finance, security, transportation, and retail (<\/span>Market.us Scoop<\/span><\/a>).<\/span><\/p>\n

4. Software Integration Skills<\/span><\/h2>\n

What Is It?<\/span><\/h3>\n

Whether you\u2019re <\/span>starting an agency with no experience<\/span><\/a> or working as an established expert with new clients, chances are that you\u2019ll face processes that involve multiple apps or software. <\/span>Software integration skills help you ensure disparate tools work well together, reducing errors or duplicate work.<\/span><\/p>\n

For marketing agencies, the ability to integrate CRM digital marketing<\/a>, customer relationship management tools, marketing automation workflows, and content management systems is critical.\u00a0<\/span><\/p>\n

Why Is It Important?<\/span><\/h3>\n

More than 80 percent of businesses say integrations are important to customers or clients (<\/span>Partner Fleet<\/span><\/a>), making this more than a critical artificial intelligence skill. It\u2019s a tech skill you need in your agency, especially if you\u2019re branding yourself as a vendor with <\/span>white label software<\/span><\/a> or as a specialist in <\/span>marketing integration<\/span><\/a>.\u00a0<\/span><\/p>\n

Marketing is a tech-heavy industry today, and your clients may be looking for help streamlining these AI and technology processes as much as they are looking for assistance with compelling copy or ad campaigns that perform. While you don\u2019t necessarily need in-house coding and dev skills, it\u2019s critical that your team understands the big picture of AI integration and how various systems work together to create a functional marketing ecosystem.\u00a0<\/span><\/p>\n