Case Studies

Case Studies
Case Study 1
The furniture brand that cut CAC 42% by listening to what customers feared
D2C · Furniture · $12M Revenue
The Situation
High CAC ($180) and stagnant ROAS despite creative that tested well internally. Media buyers running broad targeting, burning through algorithm learning phases.
What the Dark Data Revealed
Analysis of 3,247 ad comments and product reviews surfaced a pattern the brand had completely missed — "hardwood floor scratches" appeared in 11.4% of all customer interactions but never once in their advertising. Customers who mentioned this concern had 2.3x higher AOV and significantly lower return rates. High-intent signal, hiding in plain sight.
What Changed
A Signal-Dense Creative Brief showing how to address this in the first 3 seconds of video. Hook: "Worried about floor scratches? Here's why our furniture is different." Protective pads shown on hardwood. Social proof: "no scratches after 2 years."
Results
CAC: $180 → $104 (42% reduction)
Algorithm learning phase: 14 days → 6 days
$127,000 saved in Learning Tax in Q1
15% lift in brand resonance scores
"We were promoting style and comfort. Our customers wanted floor protection. Jeenyus found what we couldn't see in our own data." — Marketing Director
Case Study 2
The legacy brand that reversed a 23% revenue decline by discovering customers it didn't know it had
Legacy Brand · Outdoor · $23M Revenue
The Situation
23% YoY revenue decline. Engagement collapsing. DTC competitors gaining ground. Brand feeling increasingly irrelevant.
What the Dark Data Revealed
Reddit and Discord analysis showed 67% of organic social conversations about the brand's products centered on urban and lifestyle applications — daily commuting, coffee runs, dog walking, festivals — use cases the brand had never once addressed in five years of marketing. DTC competitors had captured this positioning entirely.
What Changed
Complete Narrative Calibration. Website copy rewritten around everyday versatility. Positioning shifted from "extreme performance" to "built for real life." "Urban Explorer" product line launched using the exact language from community conversations.
Results
Social engagement: +200%
Organic search volume for brand terms: +89%
Brand awareness (25–40 demographic): +43%
Urban Explorer line: $1.4M in Q1 revenue with zero performance marketing spend
Revenue trend reversed: +11% YoY growth in Q4
"We were solving problems customers didn't have anymore. Jeenyus showed us who our customers actually were, not who we thought they should be." — CMO
Case Study 3
The SaaS company that saved $1.2M ARR by detecting churn 60 days before it happened
B2B SaaS · Fintech · $8M ARR
The Situation
28% annual churn with no early warning from NPS. By the time a score dropped, the customer had already mentally checked out.
What the Dark Data Revealed
Analysis of 6,800 support conversations surfaced a pattern NPS completely missed. Churned customers weren't angry — they were indifferent. Language shifted from detailed and enthusiastic (days 1–30) to one-word answers (days 60–90) to cancellation. The tone shift was visible in dark data 60+ days before any metric flagged a problem.
What Changed
"Sentiment Decay" behavioral tags appended to Salesforce. Proactive outreach triggered at Day 45. Re-engagement personalized to actual conversation topics, not generic drip sequences.
Results
Annual churn: 28% → 21.8%
$1.2M in saved ARR
34% increase in expansion revenue from retained accounts
18-day average intervention lead time (vs. 0 days with NPS)
"We were waiting for NPS scores to drop. By then, it was too late. Jeenyus showed us the early warning signals we'd been ignoring." — VP of Customer Success