Instagram Insights
Data-driven performance tracking and audience intelligence native to the Meta ecosystem.
AI-driven social media analytics and predictive reporting for high-performance agencies.
Locowise is a sophisticated social media analytics and reporting engine engineered for data-driven agencies and global enterprises. By 2026, its technical architecture has evolved to leverage deep-learning models that move beyond descriptive analytics into predictive content scoring. The platform aggregates high-velocity data from TikTok, Instagram, X (Twitter), Facebook, and LinkedIn via official APIs, normalizing disparate metrics into a unified performance index. Its core strength lies in its 'Predictive Optimal Timing' engine, which uses historical engagement decay rates to forecast the precise window for maximum reach. The 2026 iteration features enhanced Natural Language Processing (NLP) for multi-language sentiment analysis and automated generative reporting, which allows users to export white-labeled PDF and PowerPoint decks in seconds. Positioned as a mid-to-high-tier market solution, Locowise differentiates itself through its aggressive benchmarking capabilities, allowing brands to audit competitor performance with the same granularity as their own. It serves as a centralized intelligence hub that integrates seamlessly with BI tools, providing a technical bridge between raw social signals and executive-level business intelligence.
Uses historical engagement data and ML algorithms to predict how a post will perform before it is published.
Data-driven performance tracking and audience intelligence native to the Meta ecosystem.
Scale your influencer marketing with AI-driven discovery and automated campaign management.
AI-Powered Influencer Discovery and Outreach Automation for Hyper-Growth Brands
The central intelligence node for influencer analytics, creator economy benchmarks, and campaign optimization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Analyzes the real-time activity of a brand's specific followers to calculate peak engagement windows.
Automated aggregation of public data from competitors to provide side-by-side growth and engagement comparisons.
Natural Language Processing (NLP) models that categorize comments and mentions into positive, negative, or neutral.
A dynamic templating system that allows full CSS/Branding customization for client-facing PDF/PPTX decks.
Tracks hashtag reach, density, and correlation with engagement rate across multiple platforms.
Normalizes data from diverse APIs into a single data schema for uniform cross-platform reporting.
Agencies spend excessive time manually pulling data into slides for monthly client reviews.
Registry Updated:2/7/2026
A brand doesn't know why its engagement rate is lower than a primary competitor.
A sudden influx of negative comments requires immediate quantification for management.