ajtbd-b2b-segments

B2B market segmentation using AJTBD focuses on core jobs, Big Job motivations, and contextual criteria instead of demographic traits. This method captures the actual tasks and purchase motivations driving B2B customer decisions, ensuring segment selection aligns with real business value.

Demographic-based B2B segmentation fails because it relies on irrelevant filters and misses the actual jobs, motivations, and contexts that drive purchase decisions. Job-based segmentation using the AJTBD methodology avoids this bias by directly targeting customer purchase motivations and business value.

Yes, Jobs To Be Done frameworks like AJTBD include market size estimation by providing TAM/SAM/SOM calculations alongside profitability and scalability assessments for each generated segment. This directly supports data-driven segment prioritization for product strategy.

The best way to define B2B customer segments for an MVP is to generate job-based segment definitions with clear market size and purchase motivation data. Using AJTBD, you can prioritize segments by core jobs and business value to guide MVP development effectively.

B2B segmentation based on Jobs To Be Done works for scaling existing products by identifying high-potential segments through core jobs and contextual criteria. It delivers context-aware, job-based segmentation that aligns expansion efforts with actual customer purchase motivations and business value.