Skill UI

This skill provides a comprehensive framework to scrape, aggregate, and monitor brand reviews, ratings, and mentions from diverse platforms, including Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. It allows users to track real-time sentiment and gather structured data for detailed reputation analysis and reporting.

This comprehensive workflow pulls detailed analytics and audience insights from your Linktree profile. It measures key metrics such as total views, clicks, and conversion rates, while also providing deep dives into link performance ranking, top audience locations, referring sources, and device usage. Use this tool to understand your audience behavior and optimize your social media strategy.

Analyze a local business’s visibility across maps platforms with geo-grid rank tracking, GBP audits, review intelligence, NAP checks, competitor radius mapping, and LocalBusiness schema generation. Useful for local SEO reporting and audits.

Analyze live SEO data with Ahrefs API, including referring domains, backlinks, organic keywords, and content explorer results. Useful for domain audits, backlink review, and organic search research with confidence-aware reporting.

This advanced tool provides comprehensive multi-touch attribution analysis, moving beyond simplistic last-click reporting. It compares multiple models (First-Touch, Last-Touch, Linear, Time-Decay, etc.) to accurately allocate revenue and credit across the entire customer journey. Use it to identify which channels drive brand awareness, nurture consideration, and close conversions, enabling strategic budget reallocation decisions.

A powerful skill designed to analyze raw ad campaign performance data from platforms like Google, Meta, and LinkedIn. It goes beyond simple metrics reporting, providing deep diagnosis by identifying underperforming ads, pinpointing budget waste, and calculating the true Customer Acquisition Cost (CAC). It generates concrete, actionable recommendations for what to cut, scale, or test next, optimizing your ad spend and maximizing ROAS.

A comprehensive guide for empirical marketing researchers on selecting appropriate advanced statistical estimators (SEM, HLM, DiD, etc.) and adhering to rigorous academic reporting standards (APA style, effect sizes, fit indices). Crucially, it guides users on translating complex statistical findings into actionable, managerially relevant insights for journals like JAMS.

This guide outlines strict guidelines for formatting tables and figures required for submission to the Journal of Marketing Research (JMR). It details managing the crucial 50-page manuscript limit versus the Web Appendix, ensuring all statistics adhere to AMA style (e.g., reporting exact p-values, standard errors, and effect sizes). It is designed for authors who need to transform raw results into publication-ready, self-contained, and compliant academic exhibits.