Glossary · Marketing Strategy
Jobs-to-be-Done
also: JTBD
Definition
Jobs-to-be-Done is a segmentation framework that groups customers by the underlying 'job' they hire a product to do, rather than by demographic or firmographic attributes. Modern implementations use NLP on customer interviews and reviews to derive job spaces at scale.
Ulwick and Christensen's JTBD framework argues people don't buy products; they hire them to make progress in a specific situation. Traditional JTBD was qualitative and interview-heavy. NLP-driven JTBD extracts job statements from unstructured customer language (reviews, support tickets, interviews) using embeddings and topic modeling, producing quantifiable job-market sizing.
Essays on this concept
- Marketing Strategy
Jobs-to-Be-Done Segmentation Using NLP: Mining Customer Reviews to Discover Unmet Needs at Scale
Christensen said customers 'hire' products for jobs. Traditionally, discovering those jobs required expensive qualitative research. NLP applied to millions of customer reviews can surface the same jobs — plus ones that interviews miss because customers can't articulate them.
- Marketing Strategy
Category Entry Points: A Quantitative Approach to Byron Sharp's Mental Availability Theory
Brands don't compete for preference. They compete for mental availability — being thought of in the buying situation. Category Entry Points are the specific occasions, needs, and contexts that trigger category thoughts. Most brands measure the wrong ones.
- E-commerce ML
LLM-Powered Catalog Enrichment: Automated Attribute Extraction, Taxonomy Mapping, and SEO Generation
The average e-commerce catalog has 40% missing attributes, inconsistent taxonomy, and product descriptions written by suppliers who don't speak the customer's language. LLMs can fix all three — if you build the right quality assurance pipeline around them.
Related concepts
Authoritative references