What Businesses Should Follow When Using AI for Marketing
Don’s and don’ts outlined for businesses to optimize their use of artificial intelligence in marketing strategy.
Leveraging the power of AI, businesses can now gain valuable insights regarding campaigns, streamline processes, and provide customers with the best-personalized experiences — all at a fraction of the cost compared to before.
But, as with any new technology, professionals need to follow a set of dos and don’ts to get the most out of their efforts while avoiding common pitfalls.
In this article by Explain Nerd, we’ll explore the best practices businesses should follow when using AI in marketing.
The Dos of AI in Marketing
First, let’s explore some key areas where businesses should consider using AI in marketing:
Conducting Data Analysis
One of the core strengths of AI is its power to analyze vast amounts of data and provide insights that can be directly used in the decision-making process.
By using AI in data analysis, businesses can gain valuable insights into customer behavior, identify areas of inefficiencies in current processes and use this data to streamline operations and increase employee productivity.
Personalizing Customer Experiences
According to research by McKinsey & CO., up to 71% of customers expect personalized experiences from brands they choose to interact with, and 76% are frustrated when brands fail to do so.
Generative AI tools, whether they are text, image, or video-based, can be used to create personalized content for customers and provide them with a better, engaging shopping experience than competitors.
For example, AI ecommerce chatbots can help deliver instant responses to common customer queries and proactively engage them.
These chatbots can analyze customer data to anticipate needs, recommend products, and provide tailored assistance.
You can go through this post from Attrock to see some of the best chatbots you can use for your business.
Automating Repetitive Tasks
AI tools not only help to improve employee efficiency and accuracy, but they also enable marketers to deliver consistent messaging across multiple channels and touchpoints.
Rather than making employees dedicate their time and effort towards repetitive marketing tasks, AI can complete them faster and empower employees to make informed decisions and perform better.
Predictive Analytics
AI algorithms can forecast trends, buying patterns, and customer lifetime value.
This insight aids in making data-driven decisions, optimizing inventory, and creating targeted marketing strategies.
Content Creation and Curation
AI tools can generate and curate content, including writing articles, creating videos, or designing graphics.
They assist in automating content workflows, ensuring consistency, and optimizing content for better engagement.
Ad Targeting and Optimization
AI-driven advertising platforms utilize data to target specific audiences more accurately.
These platforms optimize ad placements, bidding strategies, and creative elements for improved ROI.
Voice Search Optimization
With the rise of voice assistants, AI assists in optimizing content for voice search queries, ensuring businesses remain visible in this growing search space.
The Don’ts of AI in Marketing
Here are a few drawbacks to be mindful of when using AI in marketing:
Protect Sensitive Information
The laws regarding data protection while using AI technologies are still growing, and current policies do not provide convincing protections for sensitive business data.
Hence, even though you can use AI tools for everyday marketing projects, be mindful of the information you are feeding into the tools and avoid sharing any confidential or protected information.
AI Needs Data
If a business lacks sufficient data or has poor data quality, AI might not be as effective.
AI heavily relies on data for accurate insights and predictions. Without quality data, the AI algorithms may produce inaccurate or biased results.
Not Ideal for a Small Target Audience
For businesses catering to a very niche or small target audience, AI might not be as effective due to the lack of sufficient data to train algorithms and generate meaningful insights.
Don’t Rely 100% on AI
Even though AI is much smarter and more powerful compared to software tools of the past, it is still not a replacement for human creativity and ingenuity.
When implementing AI in your business, do not use it as a one-size-fits-all solution.
You’ll still require the skills, experience, and decision-making abilities of your staff to create successful marketing campaigns.
Use Customer Data Platforms (CDPs)
A customer data platform is a software that consolidates customer data from various sources across the organization into a centralized database.
This enables businesses to create comprehensive customer profiles, having information on every touchpoint they’ve had with the business.
These large datasets can be analyzed using AI to improve a business’ understanding of its customers and make data-driven marketing decisions.
As reported by Exploding Topics, around 328 million terabytes of data are generated daily across the world.
Using CDPs and AI is the need of the hour for all businesses to keep up with the latest trends in technology and outperform competitors in their respective niches.
Here is one of the best options to consider when it comes to solutions related to a customer data platform for your business.
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