Five Questions to Assess AI Marketing Tools
MarTech outlines questions on problem-solving, expertise, case studies and data ownership to evaluate AI vendors in marketing.
MarTech reports that AI vendors have increased alongside marketing use cases for the technology. The publication recommends five questions to determine whether tools merit deployment.
Problem the Tool Addresses
According to MarTech, the first question focuses on the specific problem a tool solves and whether it maps to business outcomes. Vendors unable to identify team challenges or explain feature benefits should be viewed cautiously. MarTech states that tools demonstrating at least one existing problem and improved outcomes warrant further discussion.
Vendor Expertise in the Space
MarTech advises asking about expertise in the area where the tool operates. The source notes that technical ability alone is insufficient without understanding how practitioners spend their time. MarTech indicates that a founding story tied to an identifiable problem provides a stronger basis for the tool.
Case Studies and Results
According to MarTech, case studies are required in a fast-developing field. The publication distinguishes between established vendors, which should supply specific results from similar advertisers, and early-stage vendors, which should state clearly if a buyer would be among the first clients.
Data Ownership and Model Training
MarTech cautions that buyers must determine data ownership and usage for model training. The source identifies any suggestion of shared-model training without explicit consent as a concern, along with vague responses on the topic.
MarTech presents these questions as repeated points raised during vendor outreach to separate tools built for real problems from those lacking clear purpose.
