Focus: Growth & CAC Reduction
Primary KPI: Lower CAC / Higher ROAS
Who It's For: Growth teams, media buyers, performance marketers drowning in "learning phase" spend

Your ad platforms are matching machines, not mind readers. When you feed them generic creative ("Introducing Our New Product!"), they burn budget testing thousands of people until they stumble onto someone who cares.

The old playbook: Target "Homeowners 35–50" and let the algorithm figure it out for 14 days.
The hidden cost: 30–50% of budget wasted on the algorithm's education.

We ingest your ad comments, customer reviews, and sales transcripts to identify Linguistic Triggers—the specific phrases that correlate with high-intent buyers.

Example Discovery:
A furniture brand found customers repeatedly mentioned "hardwood floor scratches" in reviews—a concern never addressed in ads. When baked into the first 3 seconds of video creative, CAC dropped 42%.

The Signal-Dense Brief:
A technical roadmap for creative teams showing:

The Hook Library:
25+ data-backed headlines and opening lines extracted from actual customer language, not copywriter guesswork.

Learning Tax Audit:
Monthly report identifying which ads force expensive learning phases and exactly how to fix them.

Focus: Brand Strategy & Message Resonance
Primary KPI: Brand Trust / Conversion Lift
Who It's For: CMOs, brand strategists, content teams struggling with "sameness"

Your messaging doesn't land because it's built on assumptions, not evidence.

This is Narrative Friction—the gap between what you say and what customers actually hear.

We perform a Cross-Channel Narrative Audit, analyzing:

Example Discovery:
A legacy brand discovered through Reddit analysis that customers were using their product for a use-case never mentioned in 5 years of marketing. After realigning messaging, social engagement increased 200%.

The Narrative Blueprint:
A comprehensive brand-voice guide showing:

Competitor Messaging Map:
Intelligence on your competitors' "Dark Data"—what their customers complain about, where they're vulnerable, and how to position against them.

Market Sentiment Radar:
Quarterly deep-dive into industry "Vibe Shifts"—emerging trends, changing priorities, and new objections before they hit mainstream.

Focus: Retention & LTV Growth
Primary KPI: Lower Churn / Higher LTV
Who It's For: Retention teams, customer success, email/lifecycle marketers

You're playing defense with lagging indicators.

By the time traditional metrics alert you, the customer has already mentally checked out. Sentiment precedes behavior by 60+ days.

We connect directly to your Help Desk (Zendesk, Intercom, Gorgias) and CRM (HubSpot, Salesforce) to analyze support conversations, chat transcripts, and email exchanges.

Example Discovery:
A SaaS company found that customers weren't "angry"—they were "indifferent." Support tone shifted 60 days before canceling. By appending "Sentiment Decay" tags to Salesforce, they reduced churn by 22%.

CRM Intent Append:
Integration of 5–10 custom Behavioral Tags into your customer profiles:

Predictive Churn Alerts:
Weekly lists of at-risk customers whose unstructured signals indicate 80%+ likelihood to churn, delivered before traditional metrics catch it.

Personalization Matrix:
Automated logic for email/SMS flows based on conversation topics, not just order history. Stop sending the same drip sequence to everyone.

Setup: Starting at $5,000 (Data integration + tagging architecture)
Optimization: $2,500/month (Predictive modeling + ongoing enrichment)

Insights don't exist in isolation. They compound.

Focus: Product Development & Innovation
Primary KPI: Product-Market Fit / Feature Adoption / New Revenue Streams
Who It's For: Product teams, innovation leads, founders planning roadmaps

You're building what you think customers want instead of what they're actually asking for.

The hidden cost: Building the wrong thing doesn't just waste engineering time—it creates opportunity cost. While you're perfecting Feature A, customers are begging for Feature B in support tickets you're not analyzing.

We mine your Dark Data specifically for product signals—unmet needs, feature requests, use-case discoveries, and competitive gaps buried in:

Example Discovery:
An outdoor gear brand discovered through Reddit/Discord analysis that 67% of customer conversations were about urban lifestyle use—not camping. They launched an "Urban Explorer" product line that hit $1.4M in first-quarter revenue with zero ad spend, because they marketed to a use-case that already existed.

The Unmet Needs Report:
Ranked list of product opportunities extracted from customer language:

Hidden Use-Case Map:
Discovery of how customers are actually using your product vs. how you think they use it:

Competitive Gap Analysis:
Intelligence mined from competitor Dark Data:

Feature Prioritization Matrix:
Data-driven roadmap recommendations:

Customer Language Guide for Product Marketing:
The exact words customers use to describe their needs:

Your competitors are either already mining their unstructured data or about to start. Every quarter you wait, the gap widens.

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.