How teams applied Next Move Theory and Advanced Jobs to Be Done to move real business metrics.
A mid-sized agency in a crowded metro market dropped age-and-income targeting for two jobs-based segments — and moved every number that mattered.
A B2B SaaS couldn't rank its roadmap. Advanced JTBD surfaced a high-willingness-to-pay, low-competition segment — and the company reorganized around it.
An international luxury property firm kept selling "investment returns" — until jobs-based segmentation revealed most buyers wanted something else entirely.
A residential agency couldn't analyze 150 calls a day by hand, so it taught an AI pipeline to do the jobs-based scoring in three minutes per call.
A personal-brand agency was spread thin across low-margin clients until jobs-based research pointed to one segment willing to pay three times as much.
A dental clinic was copying competitors without knowing why — until jobs-based research surfaced its highest-value patient and a focus worth building around.
A booking app for solo beauty professionals stalled at a 10% paid conversion — until interviews revealed the two moments that made users commit.
A B2B lead-finding platform leaned on hand-held presales to close deals — until an AI-driven onboarding flow took self-serve activations from 2% to 15%.
An AI nutrition bot was built for one customer and quietly attracting another; once it spoke to the segment it actually had, conversion grew 2.5× — without cutting price.
An online exam-prep school's free product let students register and forget. Rebuilt around their pre-purchase jobs, registrations grew 2.5× and paid students doubled.
A late-entrant procurement marketplace beat four incumbents by aiming one level up: the job wasn't "post a tender," it was "actually get the purchase done."
A mobile checklist-and-inspection app stopped guessing at its market, found the one segment competitors ignored, and grew to roughly a third of retail.
A leading parts distributor couldn't out-improve itself on price or service — so it built for the jobs surrounding the sale and lifted revenue per customer.
A pay-as-you-go cooking-fuel service was losing wallet share because buyers couldn't predict their cost. A fixed-price daily package fixed that and lifted spend per customer.
After six years of losses, a LegalTech company found the job large clients would actually pay for and grew monthly revenue 13× in under three months.
When users are happy and competitors all copy each other, a self-custody crypto wallet used Advanced JTBD to uncover non-obvious channels and lift monthly new users by 50%.
A free cross-platform mobile dev technology stopped "building everything for everyone," focused on two developer jobs, and climbed into the top three in its category.
A consumer lending marketplace stopped making shallow tweaks, found the job behind the signup, and grew registration conversion from 46% to 85%.
After three failed ventures, a coffee-roasting consultancy used Advanced JTBD to find a real segment, write its landing page in customer language, and scope an assistant product — all before launch.
A team almost launched a drone-services marketplace. Three months of jobs-based interviews proved it would flop — and surfaced a sharper, profitable business hiding inside the same market.
A management-consulting product had stable demand and 80%+ retention but no idea what drove purchases. Reframing the product around customer jobs doubled annual revenue and won back a third of lapsed clients.
A video-production studio for major brands had no durable edge — clients chose on price and connections. Twenty-plus jobs-based interviews gave it client segments, MVP hypotheses, and a positioning built on customer value.
After a relocation wiped out a decade of editorial credentials, a self-taught product manager won a US startup offer by running a live AJTBD interview instead of pitching a CV.
A procurement team drowning in manual data entry discovered the job was never "submit more bids" — it was killing the aggregation grind, and that reframing spun out a subscription product.
After a decade in a creative field she'd outgrown, a researcher learned job-based interviewing, landed work with major brands, and multiplied her monthly income sixfold in five months.
A clinic-software startup was stuck until it realized customers had to solve an earlier job before its analytics mattered — refocusing on it took conversion from single digits to 21%.