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Social Commerce

Match creators to products based on behavioral fit, not follower counts. Sentient OS was built and proven in production across 1.2M+ real interactions in social commerce.

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The Challenge

What We Solve

The specific problem this solution addresses.

Social commerce runs on creator-brand fit - but most tools match by follower count and demographics. That misses the real signal: does this creator's audience actually want this product? Are the followers real? Will they buy?

Demographics tell you who someone is, not what they want or believe. Follower counts are easily gamed and poorly correlated with conversion. Live shopping generates billions of real-time signals - but without the right system, they remain noise. Brands pay for reach that does not convert, and miss creators whose audiences would.

How Sentient Addresses It

The Approach

How Sentient OS turns this challenge into clear, actionable outcomes.

Sentient OS was built and validated in social commerce. LikeTik - our standalone product - operates in production with 1.2M+ real articles, real creators, real products, real transactions. Every interaction sharpens the model.

Creator-brand matching is based on behavioral alignment: does this audience actually resonate with this product? The Psychographic Layer maps semantic fit, keyword overlap, and audience profile. The Integrity Layer ensures the audience is real. Strategic Guidance surfaces exactly why a match works - and what to do with it.

If it works in the demanding reality of social commerce, it works anywhere.

Capabilities

What It Does

The specific capabilities that power this solution.

Behavioral Creator Matching

Semantic alignment, keyword overlap, and audience profiling - not follower counts. The Psychographic Layer and Market Fit module produce a measurable fit score between creator and brand. Strategic Guidance explains why it works.

Live Shopping Signal Processing

Billions of real-time signals from video interactions and live events processed as they happen. The system produces recommendations and next-best actions in milliseconds - no batch delay.

Content Commerce Optimization

Product placement and content resonance based on how audiences actually behave. The Psychographic Layer identifies which creators and formats drive which outcomes for which segments.

Production-Proven Intelligence

LikeTik demonstrates the stack in production: 1.2M+ articles, real creators, real products, real transactions. The same intelligence runs in the wild - not a demo environment.

Audience Authenticity

Audience Authenticity Score and Social Reliability Index identify bot networks, fake engagement, and inorganic spikes. Budget flows to creators with real audiences and genuine conversion potential.

ROI-Based Selection

Multi-factor conversion modeling and 8-week revenue projections from Performance Forecasting drive creator selection and budget allocation - not reach metrics or vanity numbers.

From Data to Decision

How It Works

Three steps from raw signals to action.

1

Profile creator and audience

Creator content and audience interactions are analyzed. Behavioral profiles, semantic alignment, and authenticity scores are built for each creator.

2

Compute fit and project outcomes

The system computes creator-brand fit, content resonance, and projected ROI. Conversion Modeling and Performance Forecasting feed the decision layer with projections and driver analysis.

3

Shortlist and activate

The system outputs creator shortlists, product placement recommendations, and activation blueprints. Strategic Guidance explains why each match works - ready for the team to act on.

Real Scenarios

Use Cases

Real-world applications and outcomes.

Brand campaign: select creators and allocate budget

Behavioral matching and Integrity Layer filtering produce a shortlist of creators with real audiences and genuine product fit. Budget is allocated by intent and projected ROI.

Live shopping: real-time recommendations

Real-time signal processing drives which products to push in which live sessions. Engagement and conversion signals update continuously; recommendations adapt in milliseconds.

Content commerce: optimize product placement

Behavioral analysis identifies which content formats and placements resonate with which segments. Placement decisions are grounded in what actually drives conversion.

Impact

Key Metrics

The measurable outcomes this solution enables.

Creator-product fit

Behavioral matching vs. demographic guessing

Real-time processing

Billions of events

Production validation

1.2M+ articles, live commerce

Audience authenticity

Fraud and bot detection

Decision speed

Millisecond recommendations

Command Center

Related Modules

Explore the intelligence modules that power this solution.

Psychographic LayerStrategic GuidanceIntegrity Layer

See How Sentient Addresses This

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