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Using AI in Your Marketing Strategy

In the exact same way, AI tools have the power to democratize creativity once more, putting powerful tools in the hands of a broader population and diversifying our workforce. When it comes to AI marketing tools or simply using AI in marketing efforts, the possibilities endless. Here just a few:

Conceptualize a YouTube Commercial

Describe your idea to a text-to-image AI like Midjourney, DALL-E, or Ideogram and develop a compelling storyboard in seconds.

Outline an Engaging Podcast Commercial Script
Sh it off the top of your head with a large language model (LLM) like ChatGPT or Claude, and immediately produce your rough draft in script format.

Maximize Your Ad Spend ROI
AI tools can analyze ad performance in real time and automatically adjust bids, budgets, and targeting parameters.

Segment and Personalize Your Email Marketing Campaign
AI can determine the best time to send emails to returning, new, and potential customers, personalize content and subject lines, and A/B test different versions to see which performs best. Use these valuable insights to fine tune your marketing efforts.

Analyze Customer Sentiment and Use Predictive Analytics

The phone number list is convenient special database in several ways. Using it we can contact business organization and our product is phone number list which is very good. Advantages It can protect databases for specific regions and regions.

AI tools can follow the customer journey, analyzing customer feedback, social media comments, and reviews to gauge audience sentiment about your brand. This, along with AI tools that predict future trends and customer behavior, allows you to proactively manage your brand’s reputation.

Manage Your Social Media Content and Platforms
AI tools can schedule social media posts, analyze engagement metrics, and generate content concepts, making social media marketing more efficient and effective.

Create Content for a Blog Post or Article

Give an AI your rough draft ideas, notes, or list of concepts as well as your target audience or goal and ask it to help you form an outline, instantly organizing your ideas into a format you can easily edit.

Of course, that said, not all AI-generated content is created equal. Ask us how we know.

How We Know: “In Today’s Fast-Paced World of Digital Landscapes, Tapestries, and Beacons”
See that headline? That’s a bad headline. That’s a headline ChatGPT thinks is excellent.

LLMs like ChatGPT and Claude tend to overuse certain phrases or words in their outputs due to biases in their training data, where specific patterns and word frequencies more prevalent. This trains the LLM models to replicate these patterns in the text they generate. Thus, AI-generated content full of landscapes, tapestries, and fast-paced worlds. LLMs also prone to hallucinations, which refers to instances where an AI system generates incorrect or nonsensical information that appears plausible or coherent.

Special databases

The tactful and successful use of AI requires

prompt engineering, which is the process of designing and refining input prompts to optimize the performance and accuracy of AI-generated output. AI output also requires cful editing. For example, text-to-image AIs like Midjourney and DALL-E notorious for producing photorealistic images of people with a not-so-realistic number of fingers, eyes that don’t look in the same direction, and smiles revealing a questionable number of oddly shaped teeth.

AI Requires a Human Touch

This technology is powerful, but like any tool, it requires skill to use (and human involvement). Going back to the Photoshop example from before, anybody can install the program. Anybody can access its undeniably exhaustive suite of tools (which include generative AI auto-fill and text-to-visual tools now, too).

But what happens after that depends on the skill of the user.

An actual ad made by the City of Los Angeles

AI’s potential to enhance creativity and productivity is undeniable, and harnessing its full capabilities requires practice. This shift toward sophisticated prompt engineering and thoughtful editing not only improves AI outputs but also sets the stage for the next transformative wave across all industries, particularly those in creative sectors like digital marketing.

But the point is that these technologies demolishing barriers, empowering a new generation of creators, and potentially promoting much-needed diversity in every field.

AI Tools: Promoting Diversity and the Next

Generation of Creative Empowerment
It might not surprise you to learn that at Zen Media, we believe fostering an environment of diversity is genuinely the right thing to do (also, living and working in a hall of mirrors sounds terrifying). But on top of that, there’s a business case. McKinsey has reported a 39% increased likelihood of overperformance for businesses led by diverse executive teams—a figure that has been consistent over time. The same report revealed that companies with women in leadership exceeding 30% significantly more likely to financially outperform those with fewer, and McKinsey has reported more engagement, innovation, and revenue earned from diverse teams.

So, why do businesses with diverse leadership and team members do so much better than their homogenous counterparts?

When we all view things through the same lens, we suffer from the same blind spots. When we come from similar backgrounds, we tend to see things the same way. That means you have teams of people approaching problems from the same angle and steering toward the same solutions.

Diverse teams benefit from coworkers who can see things the person sitting right next to them can’t. They can make connections their neighbor couldn’t think of. They truly have each other’s backs—because they have enough viewpoints to see in 360 degrees. This is a wealth of knowledge and experience potential employers looking to 2025 and beyond should not overlook. But with a professional world full of hiring biases, what organizations to do?

AI in Hiring
The job market has always been plagued by biases and limitations that have prevented talented individuals from diverse backgrounds from securing positions they’re qualified for. For example, research published this year shows white job applicants still receive up to 24% more callbacks than Black applicants, and 15% of applicants believe their accent prevents employers from choosing to move forward with them.

This is where AI comes into play. In fact, 68% of recruiters believe using AI in the recruitment process will remove unintentional bias—provided safeguards put into place to ensure AI doesn’t learn, reproduce, or exaggerate said bias. AI can help companies identify and recruit talent from a wider pool of candidates, reducing the reliance on traditional hiring methods that often perpetuate biases. By analyzing job descriptions and candidate profiles, AI can match individuals with opportunities based on their skills and potential rather than subjective criteria.

And for those who live with a disability or who didn’t have access to the type of education that may have taught them how to write a cover letter or perfectly format a resume—to be clear, these individuals otherwise qualified but face a barrier to entry they usp-what-it-is-and-how-it-helps-when-getting-your-ad-up-and-running wouldn’t likely have to deal with once on the job—AI-powered tools like LLMs already facilitating access to job opportunities by assisting with resume optimization and cover letter-writing.

We didn’t all learn the same things, and we didn’t all learn things we use

One of the most exciting things about AI is how accessible it is. Though it takes time to perfect, it’s very easy to get started. Many tools free or available at a low cost, enabling people from all walks of life to compete in ways that were not possible before. Similar to the way Amazon’s self-publishing platform transformed the publishing industry, AI has the power to level alb directory the playing field for job-seekers. And by providing guidance on how to effectively showcase their skills and experiences, AI empowers individuals who may have previously been overlooked due to factors such as socioeconomic background, education, or lack of professional networks.

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