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Powered by multilingual NLP across 120+ languages

Brand Narrative Meets Data Science

Three intelligence layers turn unstructured conversation data into predictive intelligence. See market shifts forming, capture buyer intent before leads exist, and act on your brand narrative in real-time, weeks ahead of the market.
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Three Detection Layers.
One Intelligence System

Stackable engines that detect what's forming before it peaks.
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Layer 1

Detect Market Shifts 6-12 Weeks Early

AI system that detects emerging market and audience signals before they trend

Signal velocity scoring

Predictive trend mapping

Category shift detection

Explore Market Intelligence
Layer 2

Track Buyer Intent Before Leads Form

Understand what buyers discuss, search, and react to then optimize how you activate them

Intent stage classification

Account-level signal aggregation

Real-time performance optimization

Explore consumer Intelligence
Layer 3

Manage Your Brand Story. Defend Threats

Map how your brand story evolves and detect reputation threats weeks before crisis

Narrative drift scoring

Story arc trajectory

Coordinated attack detection

Explore Narrative Intelligence
HEADING

Signal to Intelligence in Four Stages

Step 1: Multi-Source Ingestion

20+ platforms | 120+ languages | Private + public sources | Permission-based access

Step 2: Semantic Processing

Native multilingual NLP | Context extraction | Hybrid dialect understanding

Step 3: Predictive Analysis

Velocity scoring | Pattern recognition | Confidence intervals | Inflection point detection

Step 4: Actionable Intelligence

Prioritized alerts | Dashboard insights | API integration | Workflow automation

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DeepDive vs. Traditional Social Listening

Stackable engines that detect what's forming before it peaks.
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Legacy Social Tools

DeepDive Intelligence™

SPECIALIZED MODULE

Campaign Intelligence Lab

What It Does: Pre-campaign baseline → Real-time tracking → Post-campaign attributionMulti-Source Ingestion

The Value: Measure awareness lift, message resonance, competitive context without $50K brand studies

Who Needs This: Growth Marketing, Demand Gen, Performance Marketing

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SPECIALIZED MODULE

Brand Defense Command Center

What It Does: Crisis detection + Fraud monitoring + Automated threat removal with 20-min refresh cycles

The Value: Detect coordinated attacks, fake reviews, impersonation campaigns before they spread

Who Needs This: Trust & Safety, Brand Protection, Security Teams, Crisis Management

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What Becomes Possible with Early Signals

Different teams use DeepDive to answer different questions.
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Olay
Bkash
Praava Health
BAT
UCBD
Pepsico
Manchester City
marketing

Micro-Influencer Signal Detection for Brand Advocacy

"DeepDive’s narrative signal engine mapped 65B+ Instagram and TikTok UGCs to surface the micro-influencer clusters driving real brand advocacy. We shifted budget to those creators and our campaign became materially more efficient."
21%
campaign budget saved
65B+
UGCs analyzed
communications

Real-time Seeded Attack Neutralization

“A coordinated smear was forming; our team didn’t see the network until DeepDive did. DeepDive pinpointed the profiles amplifying it, neutralized them and helped comms respond before it spiked.”
3x
faster response
2,300
seeded profiles identified
demand generation

Intent intelligence for demand signal discovery

“DeepDive’s intent signal engine surfaced an emerging demand pattern we weren’t tracking. We repositioned our brand and re-prioritized our roadmap and the unit economics told the story immediately.”
306%
ROI optimized
+243%
Net revenue retention
sales

Price-hike impact foresight from consumer signals

“The market jolted after the mid-fiscal price hike. DeepDive’s predictive read showed sentiment and intent drifting within days, so we focused retention where risk was forming, before it showed up in quarterly reports.”
7,000+
conversations analyzed over 5 months
digital marketing

Consumer perception analysis for better market fit

“DeepDive revealed what prospective students actually cared about: by program, by region, by pain point. We tuned our narrative and the engagement lift followed.”
41%
increase in student engagement
300K+
conversations analyzed
strategy

Boycott narrative redirection at scale

“Negative sentiment began clustering around boycott chatter. DeepDive’s narrative signals made the pivot clear. We launched Sting to redirect attention and the conversation mix swung back in our favor.”
57%
reduction in negative sentiment
community

Fan engagement amplification through semantic drift analysis

“We stopped guessing what fans felt and started matching it. With real-time semantic processing, we adjusted content in-flight and engagement surged.”
115%
lift in fan engagement