5 Ways to Leverage White Label Artificial Intelligence in Your Marketing Strategy
Brands of all sizes are using AI in their marketing initiatives to boost revenue and ROI. Artificial intelligence, machine learning, and other terms are being used interchangeably. What is white label artificial intelligence? It's a form of branded AI in which the vendor sells an algorithm as a service to other companies. These organizations don't handle complex computer code; rather, they see simple API endpoints that they can plug into their existing systems without understanding how data is manipulated behind the scenes.
Whether you call it artificial intelligence, machine learning, or some other acronym, AI is reshaping the marketing landscape. Brands of all sizes are incorporating AI into their marketing programs to drive performance and increase ROI. But what exactly is white label artificial intelligence? White label AI is a type of branded AI where the vendor sells an algorithm as a service to other companies. These businesses don’t deal with complex computer code; instead, they see simple API endpoints that can be plugged into their existing systems without any knowledge of how the data is being manipulated behind the scenes.
What is White Label Artificial Intelligence?
White label AI is a form of branded AI where a vendor sells an algorithm as a service to other companies. White label AI is often used to describe companies that use AI technology that has been repackaged for the specific needs of other companies or industries. White label AI is often used to describe companies that use AI technology that has been repackaged for the specific needs of other companies or industries. An example would be a company that provides customer service chatbots that use machine learning to respond to customers. That company will then take the AI technology and repackage it as a service for other companies, allowing those companies to plug the chatbots into their own websites. Other companies might use AI to help with customer service, marketing, or sales.
How Does White Label AI Work?
White label AI works by ingesting data, manipulating that data, and outputting results based on parameters determined by the client company. The process of ingesting and outputting data is called an “endpoint” in the industry. These endpoints are, for the most part, based on standard protocols such as HTTP, HTTPS, and web hooks. One of the most common use cases for white label AI is personalization. Companies with large customer bases often have trouble keeping up with customer service, marketing, and sales efforts. White label AI can ingest customer data, such as purchase history, product interests, and email addresses. Once the data is ingested, it will be processed by the algorithm and turned into customer segments. These segments can then be plugged into an email marketing campaign, a landing page, or a product recommendation engine.
3 Ways to Leverage White Label AI in Your Marketing Strategy
- Personalization - Personalization is a critical component to any marketing strategy. It’s human nature to want to feel like you’re being treated as an individual; you don’t want to feel like you’re just a number on a spreadsheet. With white label AI, you can ingest customer data and segment customers based on their purchase behaviour, interests, or other information. You can then use those segments to personalize marketing campaigns, product recommendations, and customer service interactions. - Recommendations - One of the most effective ways to drive repeat purchase or increase sales is through product recommendations. You can use white label AI to ingest data about customers’ purchase history and then use that data to make product recommendations based on those purchases. This can be particularly helpful for customers who have purchased something but not added it to the cart. - Predictions - Another way to use white label AI is to predict future customer behaviour. You can ingest data related to purchase history, customer service interactions, and other interactions. Then, you can use that data to make predictions about future behaviour. Some predictions could be as simple as predicting when a customer will be likely to make a purchase or as complex as predicting which customers are likely to churn from the platform.
2 Strategies to Increase ROI with White Label AI
While the strategy to increase ROI may seem obvious, it’s important to understand the value that AI can bring to your business. - Automated Marketing - AI-powered marketing tools can automate many of the tasks that are taking up your team’s time and energy. This allows your marketing team to spend more time on strategy and less time on the more mundane tasks. AI can also allow your marketing team to scale while maintaining consistent messaging and content across channels. - Data-Driven Marketing - One of the biggest challenges marketers face is the inability to make data-driven decisions. White label AI can be used to ingest customer data and provide your team with insights into customer behaviour and needs. This allows your team to make data-driven decisions when it comes to marketing strategy and messaging.
1 Strategy to Build Brand Awareness with AI
With white label AI, you can create branded content that can be repurposed across different channels. You can ingest data from your customers, such as interests and hobbies, and then use that data to create content that resonates with your customers. Once the content is created, you can repurpose it for multiple channels, such as a blog, social media, or paid advertising. This strategy can be especially helpful for companies looking to expand their brand awareness. You can create highly targeted content that resonates with your core customers while also appealing to potential customers who are outside of your core demographic.
1 Strategy to Drive Purchasing Behaviour with AI
As you gather data from customers, you can use white label AI to create purchase propensity models. This can be particularly helpful if your business sells a variety of products in different industries. This type of model can be used to drive purchasing behaviour by identifying customers who are likely to make a purchase and then targeting them with specific offers. This strategy can be especially helpful for B2B companies, where purchase decisions can be more complex.
The marketing landscape is changing quickly. Traditional marketing methods, such as email marketing and search engine optimization, are becoming less effective. In the face of this new reality, marketers need to turn to new technologies, such as white label artificial intelligence. These new technologies are more effective than older ones, but they’re also more challenging to implement. White label artificial intelligence is a great option for any business that needs more efficient customer service, better marketing campaigns, or increased sales.