AI for Social Media Analytics Dashboards

Build AI-enhanced dashboards that ingest, analyze, and communicate soc

Social media analytics blends listening, attribution, sentiment, and performance tracking. AI upgrades dashboards with smarter ingestion, noise reduction, insights, and proactive alerts.

Give teams trustworthy, actionable social intelligence with clear provenance and low latency.

APIs/feeds from social platforms, web, forums; engagement metrics; cam

Language classification, topic modeling, sentiment, entity linking, bot detection, virality prediction, anomaly detection.

Dashboards, alerting, cohort filters, source drilldowns, executive summaries, and API exports.

live demo · related simulation● LIVE

Predict and alert on spikes; correlate with campaigns or events.

Connect social activity to web/app conversions via UTMs and lift tests.

Which formats, timings, and creatives perform best by segment.

Frequently asked questions

What are the key considerations for governance, bias, and privacy when implementing AI-powered social media analytics?

Governance, Bias, and Privacy

How can we monitor language and demographic biases within our AI models?

Monitor language and demographic biases;

What steps should we take to minimize the collection of Personally Identifiable Information (PII) while adhering to platform rules?

Minimize PII; follow platform rules; pro?

How can we ensure transparency by showing sources, confidence levels, and versioned models?

Show sources, confidence, and versioned ?

▶ Try it live

Everything above runs in your browser — open Dimensionality Reduction: PCA, t-SNE & UMAP and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Dimensionality Reduction: PCA, t-SNE & UMAP simulation