CrowdCore offers an AI‑driven platform that aggregates a brand’s CRM, ad performance, and real‑time social video data to generate up to 1,000 virtual consumer personas for predictive audience modeling. Marketers use a simulation sandbox to forecast KPI outcomes—such as CTR, conversion, and engagement—for creatives and influencer collaborations before any spend, with results delivered via a secure dashboard and API integration.
Funding
Funding not disclosed
Founders
Product
Problem
Marketers often launch campaigns based on intuition, limited focus groups, or small‑scale A/B tests, which leads to high creative waste and uncertain ROI. Integrating disparate data sources such as CRM records, ad performance logs, and social media signals into a single predictive view is technically complex and time‑consuming. Consequently, brands struggle to forecast how specific content, creators, or audience segments will respond before committing budget.
Solution
CrowdCore creates a unified AI‑driven audience model that ingests a brand’s CRM, historical ad metrics, and real‑time social video signals. The platform deploys up to 1,000 OpenClaw AI personas—each trained on the brand’s data—to act as virtual consumers that simulate reactions to proposed creatives and influencer collaborations. Continuous video intelligence extracts visual style, narrative tone, and audio cues, keeping the AI audience’s short‑ and long‑term memory aligned with current cultural trends. Marketers can run campaign simulations that predict key performance indicators (CTR, conversion, engagement) before any spend, allowing them to prune low‑performing concepts early. Results from live campaigns feed back into the model, turning each launch into a reusable data asset that improves prediction accuracy over time. All insights are delivered through a secure web dashboard and optional API integration, enabling data‑driven decisions across product, media, and creator teams.
Target Audience
Primary customers are brand marketing teams, performance media managers, and creator‑focused agencies that need to validate content and influencer strategies at scale. The solution also serves D2C brands and tech startups seeking data‑driven launch acceleration without building in‑house simulation infrastructure.
Features
- Deployment of up to 1,000 OpenClaw AI personas per brand, each trained on CRM, ad spend, and social video data
- Video Intelligence engine that processes frames, speech, and sound to extract visual style, narrative tone, and audience sentiment
- AI Audience Modeling layer that fuses behavioral signals, engagement patterns, and content attributes into a living probabilistic model
- Campaign Simulation sandbox that forecasts KPI outcomes (CTR, conversion, view‑through) for creatives, creators, and targeting strategies
- Real‑time RESTful API and FHIR‑compatible endpoints for embedding predictions into existing martech stacks
- Interactive dashboard with heat‑map visualizations, scenario comparison, and confidence intervals for each simulated outcome
- Tiered subscription architecture with usage‑based AI audience capacity limits and role‑based access controls
- End‑to‑end encryption and compliance with GDPR and CCPA for all data ingestion and storage