Evaluating AI technology is more difficult than it sounds. Given the complexities and unforeseeable nature of any emerging technology, it is not always easy to determine whether a system is really worth your investment. This article lists 12 criteria, which if carefully evaluated and satisfied, could help you pick the right brand for your algorithmic marketing needs data and analytics.
12 Criteria for Evaluating AI Marketing Analytics
AI marketing analytics is a tool that helps you make sense of the large amounts of data generated by your marketing efforts.
To evaluate AI marketing analytics, look for:
Flexibility.
The AI marketing analytics tool should be flexible enough to accommodate your unique business needs. If it can’t, then it may not be the right tool for the job. Flexibility is a key characteristic of AI marketing analytics software. This means that it can be customized to suit your business needs and requirements.
Scalability.
You’ll want to know if the AI marketing analytics tool is scalable and can grow with your business. In other words, you can add new features as your company grows that can integrate more data sources and more complex algorithms into the software as needed. Scalability is the ability of a system to handle a growing amount of work or its potential to be enlarged. In the context of marketing, scalability refers to the ability of an organization’s marketing operation to manage a growing number of leads and customer use cases.
The need for scalable marketing operations is driven by the increasing complexity of digital marketing. As more marketers embrace digital channels and technologies, they’re generating more data from their efforts that can be used to improve their performance. However, most companies struggle with using this data effectively because they lack the infrastructure needed to make decisions based on it data point.
Ease of Use.
The most important metric for evaluating AI marketing analytics is ease of use. If a tool is difficult to use, it won’t be used effectively by your team. The more intuitive and user-friendly the software is, the easier it will be for employees to use it efficiently.
Cost.
The cost of AI marketing analytics varies depending on the features available and the size of your company. Smaller businesses can find affordable options with limited features, while larger organizations may need more advanced systems that include more options and customizations at higher prices points. Evaluating companies based on price alone isn’t always ideal, however; sometimes quality costs more than quantity! So make sure you’re comparing apples to apples when looking at costs between different vendors.
