The startup develops an editorial analytics system that enables digital publishers to enhance content relevance and audience targeting through data-driven insights. By optimizing story delivery across channels and formats, the system increases engagement and profitability for online publishers.
Funding
$960K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Digital publishers often struggle to understand which content resonates most with their audience and how to optimize their content strategy for maximum engagement and profitability. They lack actionable insights that translate data into concrete steps for improving story performance across various channels.
Solution
Smartocto provides an editorial analytics system that empowers digital publishers to make data-informed decisions, enhancing content relevance and audience targeting. The platform delivers smart notifications and actionable tips based on real-time and historical data, guiding editors on how to optimize story delivery and boost performance. By integrating AI-powered decision-making, Smartocto helps newsrooms identify the best headlines, improve content clarity, and classify content effectively. The system's customizable dashboards and reporting tools enable publishers to track key performance indicators, understand reader behavior, and ultimately increase engagement and profitability.
Target Audience
Smartocto is designed for newsrooms, storytellers, content creators, and digital publishers seeking to optimize their content strategy, enhance audience engagement, and increase profitability through data-driven insights.
Features
- Real-time content analytics with visual dashboards and clear graphs for informed editorial decisions
- AI-powered smart notifications that provide actionable tips customized to content strategy and business model
- A/B testing tool ("Tentacles") for headline and page optimization, including AI-suggested alternatives
- Historical data analysis to identify trends in reader behavior and content performance
- Customizable dashboards ("Waves") to track specific metrics and goals
- User Needs Model 2.0 integration to inform content strategy and story angles
- Content Performance Indicator (CPI) to measure story effectiveness based on exposure, loyalty, and engagement
- Automated report generation and delivery to streamline data analysis
- Integrations with Google Analytics, Adobe Analytics, and other data sources
- "Smartify" technology that matches stories with editorial actions and predicts impact