free-skills

Generates Google Ads RSA headlines, descriptions, and ad variations. Use for creating new ads, A/B testing copy, or refreshing underperforming ads.

Detect, predict, and resolve ad creative fatigue across platforms. Use when analyzing frequency vs CTR decay, predicting creative lifespan, planning rotation strategies, or calculating statistical significance for A/B tests.

Checks ad creative and landing pages against platform advertising policies for Google, Meta, LinkedIn, TikTok, and Reddit. Use when pre-checking ads for policy compliance, fixing rejected ads, reviewing restricted content, or navigating industry-specific ad rules.

Optimize Amazon Sponsored Products, Brands, and Display campaigns with ACOS/TACOS analysis, search term mining, and bid strategies. Use when optimizing Amazon Ads, analyzing ACOS, mining search terms, structuring campaigns, or selecting bid strategies.

Statistical anomaly detection in campaign metrics. Use when detecting spend spikes, CTR drops, budget runaway, metric outliers, or configuring automated alert thresholds.

Multi-touch attribution modeling for advertising campaigns. Use when analyzing conversion paths, comparing attribution models, implementing data-driven attribution, or understanding assisted conversions.

Builds audience expansion strategies with lookalike audiences, seed optimization, layering, and exclusions across platforms. Use when expanding audiences, building lookalikes, setting up exclusion lists, or optimizing audience targeting.

Recommends bid adjustments based on performance data. Use for CPC optimization, budget allocation, ROAS improvement, day-parting, device modifiers, and audience bid strategies.

Cross-platform budget optimizer that reallocates spend based on ROAS across Google, Meta, LinkedIn, X, Reddit, TikTok, Amazon, The Trade Desk, and Amazon DSP. Use for budget reallocation, ROAS optimization, or cross-platform spend efficiency.

Open or import campaigns into Synter Campaign IDE, draft plans on the canvas, and hand off for human approve ≠ activate. Use when planning in Campaign IDE, importing live campaigns into Synter UI, or moving from agent draft to human approval.

Runs pre-flight checks on ad campaigns before launching. Use when creating campaigns, reviewing campaign settings, or before enabling paused campaigns. Checks geo targeting, exclusion lists, tracking setup, and budget settings.

Audits Google Ads account structure including ad group strategy, keyword duplication, match type distribution, and naming conventions. Use when auditing campaigns, reviewing account structure, finding duplicate keywords, or checking naming conventions.

Add conversion measurement to a live ChatGPT Ads campaign - choose between the OpenAI Conversions API (server-side) and the JavaScript Pixel (client-side), define the events that matter, and roll out without delaying launch. Use when setting up ChatGPT Ads tracking, CAPI vs pixel decisions, measuring leads/signups/purchases from ChatGPT Ads, or moving from CTR optimization to conversion-based optimization.

Build, review, and scale a ChatGPT Ads campaign from your existing Google/Meta/Microsoft text ads and website. Use when launching ChatGPT Ads, building a ChatGPT Ads campaign workbook, repurposing existing search/social ads for ChatGPT, writing context hints (not keywords), or scaling to 100+ upload-ready ads. Covers the full 9-step golden-path workflow with copy-paste prompts.

Analyzes competitor advertising strategies using Facebook Ads Library. Use for competitive research, creative inspiration, and market positioning.

Cross-platform creative A/B testing for ads across Google, Meta, LinkedIn, X, Reddit, TikTok, and Amazon. Use for creative testing, ad variant analysis, winner selection, and performance comparison.

Comparing ad-platform performance with CRM; attribution gaps; 'ad platform shows conversions but CRM shows zero'; UTM/pixel issues; last-click vs data-driven. Covers data-source hierarchy and gap diagnosis.

Deploys campaigns to multiple ad platforms simultaneously (Google, Meta, LinkedIn, X, Reddit, TikTok, Amazon, The Trade Desk, Amazon DSP). Use for launching unified campaigns, multi-channel rollouts, or synchronized campaign deployment.

Analyzes hour-of-day and day-of-week performance to create bid schedules and dayparting strategies. Use when optimizing ad schedules, analyzing time-based performance, setting bid modifiers, or creating dayparting heat maps.

C-suite advertising reports with narrative insights, YoY/MoM comparisons, blended ROAS, pacing analysis, and visualization recommendations. Use when creating executive summaries, board reports, monthly ad performance reviews, or generating narrative insights from campaign data.