Results for “media-analysis”

Orchestrates multi-step content operations on Xiaohongshu, including competitive analysis, trend tracking, content creation, and engagement management through a CLI toolchain. All operations require user confirmation before publishing or commenting.

Researches competitor paid-ad presence, messaging, creative, formats, landing pages, and strategic gaps using official transparency libraries and public sources.

Cross-channel campaign performance analysis with blended CAC and budget recommendations

Earn press coverage and media mentions through PR outreach, newsjacking, and journalist pitching.

Design and evaluate paid-ad experiments with hypotheses, randomization, sample-size calculations, guardrails, and decision rules for A/B and split tests.

Design a visual protest action that generates media coverage for a cause without requiring budget or platform access.

Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.

Media relations, press releases, journalist outreach, and crisis comms. Use when the user requests 'press release', 'media outreach', 'journalist pitch', 'crisis comms', 'reputation management', or 'PR strategy'.

Extracts YouTube video transcripts and performs structured 8-dimension competitive analysis to uncover value propositions, audience profiles, and content gaps.

Calculate and model paid-media financial metrics including CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics.

Amazon Ads deep analysis covering Sponsored Products, Sponsored Brands (incl. Sponsored Brands Video), Sponsored Display (audiences + contextual), and basic Amazon DSP. Evaluates campaign structure, ACOS/TACOS targets, search-term harvesting, negative keyword discipline, Brand Analytics signals, day-parting, bid management, auto vs manual campaign mix, ASIN targeting, and DSP retargeting. Use when user says Amazon Ads, Amazon advertising, Amazon PPC, Amazon search ads, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, ACOS, TACOS, retail media audit, Amazon Marketing Services, AMS, or Amazon seller advertising.

Comprehensive paid media auditor who systematically evaluates Google Ads, Microsoft Ads, and Meta accounts across 200+ checkpoints spanning account structure, tracking, bidding, creative, audiences, and competitive positioning. Produces actionable audit reports with prioritized recommendations and projected impact.

Daily and weekly paid ads analysis — Google Ads, Meta Ads, GA4 funnel analysis with structured JSON email briefs for any active brand

Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization.

Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign monitoring.

Extract and analyze competitor advertising from public ad libraries (Facebook Ad Library, Google Ads Transparency Center, TikTok, LinkedIn). Identifies messaging patterns, creative formats, pain points targeted, and positioning gaps. Use for competitive intelligence, campaign planning, and creative inspiration.

Layer 4 of the keyword research pipeline. Spawns a "skeptical SEO" adversarial sub-agent to argue against every survivor of Layers 1-3. Catches mechanical-classifier blind spots — wrong SERP intent, hidden link-graph gauntlets, AIO trajectory shifts, vanity-rank metrics. Same pattern as quality-check's adversarial draft read, applied to keyword selection.

Systematically evaluates evidence to determine which threat actor is responsible for a cyber operation using the Diamond Model and Analysis of Competing Hypotheses.

Creates a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting.

Diagnose paid-ad campaigns and draft or apply optimizations using evidence, financial constraints, and experiments. Supports budget reallocation, bid changes, creative rotation, and CPA/ROAS improvement.

Breaks down why a social post worked or flopped by scoring hook strength, scannability, specificity, emotional trigger, and CTA clarity, then suggests the highest-leverage changes and a testable rewrite.

Interpreta métricas de copy e aponta o que fazer — conversão de landing, abertura e clique de e-mail, CTR e CPA de anúncio, engajamento de social. Use quando o usuário disser "analisar desempenho", "como foi a campanha", "os números do mês", "essa página não converte", "taxa de abertura caiu", "relatório de.