How It Works
Case Studies
Behavioral Intelligence in Action
See how mid-market brands transformed marketing by unlocking unstructured data.
Case Study 1: The Ghost Objection (D2C Furniture)
Company: Mid-market furniture brand, $12M annual revenue
Challenge: High CAC ($180) and stagnant ROAS despite "winning" creative
Engagement: 30-day Performance Engine pilot
The Discovery:
Our AI processed 3,247 ad comments and product reviews. Human analysts noticed a recurring pattern the brand had missed: "hardwood floor scratches" appeared in 11.4% of all interactions—but never in the brand's creative.
Cross-referencing with performance data showed customers who mentioned this concern had 2.3x higher AOV and lower return rates. This was high-intent signal hiding in plain sight.
The Fix:
We delivered a Signal-Dense Brief showing how to address this objection in the first 3 seconds of video ads:
  • Hook: "Worried about floor scratches? Here's why our furniture is different..."
  • Visual: Product with protective pads, shown on hardwood
  • Social proof: "No scratches after 2 years" testimonial
The Outcome:
  • 42% reduction in CAC (from $180 to $104)
  • 15% lift in brand resonance scores (measured via brand lift study)
  • 6-day algorithm learning phase (down from 14 days)
  • $127,000 saved in Learning Tax in first quarter
Client Quote:
"We were promoting style and comfort. Our customers wanted floor protection. Jeenyus found what we couldn't see in our own data." — Marketing Director
Conclusion: The insights existed in the data all along. Traditional analytics tools just couldn't see them.
Case Study 2: The Indifference Threshold (B2B SaaS)
Company: Fintech SaaS platform, $8M ARR
Challenge: High churn (28% annually) and low feature adoption
Engagement: Lifecycle Enricher + Narrative Intelligence
The Discovery:
Analysis of 6,800 support conversations revealed a counterintuitive pattern: Churned customers weren't angry—they were indifferent.
The tone shift:
  • Day 1–30: Enthusiastic, detailed questions
  • Day 30–60: Shorter responses, generic language
  • Day 60–90: One-word answers, delayed reply times
  • Day 90+: Cancellation
Traditional NPS surveys missed this. Customers would rate the product 7/10 (neutral) while already mentally checked out.
The Fix:
  1. Appended "Sentiment Decay" tags to Salesforce for customers showing indifference signals
  1. Triggered high-touch human outreach at day 45 (before traditional metrics showed problems)
  1. Personalized re-engagement based on specific conversation topics, not generic campaigns
The Outcome:
  • 22% decrease in annual churn (from 28% to 21.8%)
  • $1.2M in saved ARR
  • 34% increase in expansion revenue (from saved accounts)
  • 18-day average intervention lead time (catching customers 60+ days before they would have churned)
Client Quote:
"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
Conclusion: The fixes weren't complex. They were specific, actionable, and immediately implementable.
Case Study 3: The Narrative Shift (Market Repositioning)
Company: Legacy outdoor brand, losing market share to DTC competitors
Challenge: Stale messaging, declining engagement, 23% YoY revenue drop
Engagement: Full Narrative Intelligence audit + ongoing Strategic Sync
The Discovery:
External Reddit and Discord analysis revealed a massive blind spot: The brand was marketing their product for traditional camping use-cases, but 67% of social conversations were about urban/lifestyle applications the brand hadn't mentioned in 5 years.
Customers were using the gear for:
  • Coffee runs and errands
  • Dog walking in bad weather
  • Music festivals and tailgating
  • Daily commuting
Competitor analysis showed DTC brands had captured this positioning, leaving the legacy brand as "your dad's camping gear."
The Fix:
Complete Narrative Calibration:
  1. Rewrote website copy to emphasize everyday versatility, not just outdoor adventure
  1. Created content around actual use-cases found in social data
  1. Repositioned from "extreme performance" to "built for real life"
  1. Launched "Urban Explorer" product line based on unmet needs discovered in dark data
The Outcome:
  • 200% increase in social engagement (shares, saves, comments)
  • 89% lift in organic search volume for brand terms
  • 43% increase in brand awareness among 25–40 demographic (measured via survey)
  • Product line launched to $1.4M first-quarter revenue with no performance marketing spend
  • Revenue trend reversed: +11% YoY growth in Q4
Client Quote:
"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
Conclusion: ROI was measurable within 60–90 days, not "brand building over years."
Ready to See What's Hidden in Your Data?
Your competitors are either already mining their unstructured data or about to start. Every quarter you wait, the gap widens.
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Free Discovery Session: We'll review your "dark" data channels, provide a Dark Data Potential Score and show you one 'Ghost Objection' you didn't know existed. No cost. No obligation.
Schedule Free Discovery Call or Email: ​ambar@jeenyus.ai​ for more information.