Synter-Media-AI

Expand targeting without wrecking CPA — lookalike ladders, seed quality, audience layering, and exclusion hygiene across platforms. Use when a user wants to scale beyond exhausted audiences, build lookalikes, fix audience fatigue, or set up exclusion lists.

Build a post-cookie first-party data strategy — Enhanced Conversions, server-side tracking, Consent Mode v2, and activating owned data for targeting. Use when a user wants to recover lost conversion data, set up Enhanced Conversions or CAPI, implement consent mode, or plan for cookie deprecation.

Verify that ad campaigns actually target the geographies they claim — location criteria exist, presence-only matching is set, and click geography matches intent. Use when auditing campaigns, investigating cheap clicks or missing conversions, or reviewing any campaign before and after launch.

Diagnose and improve Google Ads Quality Score — Expected CTR, Ad Relevance, and Landing Page Experience — to cut CPCs and lift Ad Rank. Use when CPCs look high for the vertical, impression share is capped by rank, or keywords sit at QS 5 and below.

Optimize Google Shopping — product feed quality, titles, Merchant Center disapprovals, supplemental feeds, custom-label segmentation, and Shopping vs Performance Max structure. Use when Shopping impression share is low, products are disapproved, or feed titles and labels need work.

Design and run incrementality tests that measure true lift from ads — geo holdouts, platform lift studies, significance math, and iCPA decisions. Use when a user wants to know whether ads actually cause conversions, design a holdout test, or decide budget based on real lift.

Build LinkedIn Ads audiences with job title, seniority, and company targeting, ABM company lists, lookalikes, and lead gen form optimization. Use when building LinkedIn audiences, setting up ABM, choosing ad formats, optimizing lead gen forms, or estimating LinkedIn costs.

Diagnose Meta Ads delivery and performance problems — Learning Phase stalls, creative fatigue, audience overlap, CPM spikes, and Advantage+ vs manual structure. Use when a Meta campaign underperforms, delivery is limited, or CPMs and frequency are climbing.

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.

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.

Defining GTM metrics, pipeline efficiency, AI cost metrics, TTFV, CAC/LTV/NRR, magic number, attribution models, weekly review cadence.

Multi-platform product launches: Product Hunt, Hacker News, BetaList, AppSumo, waitlist, launch day, multi-channel rollout — pre-launch through post-launch.

SPEAR loop for any non-trivial agent task — Scope, Plan, Execute, Assess, Resolve. Prevents the strong-start-weak-finish failure mode by forcing an explicit MECE rubric and a Plan→Execute→Assess inner loop until the rubric passes.

Spec-driven dev workflow. Invoke before implementing any feature or fixing any bug — spec lookup, clarifications, plan approval.

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

Optimize budget allocation across ad platforms and campaigns. Use when the user asks about budget distribution, media planning, funnel-stage budgeting, or wants spend reallocation recommendations.

Manage ad campaigns across platforms. Use when the user wants to create, modify, pause, enable, or check the status of advertising campaigns on Google Ads, Meta, LinkedIn, Reddit, Microsoft Ads, or YouTube.

Research competitor advertising strategies, keywords, ad copy, and landing pages. Use when the user asks about competitor PPC spend, keyword gaps, or wants to analyze competing brands.

Generate ad creatives including display images, video ads, and copy variations. Use when the user needs ad images, headlines, descriptions, or wants to A/B test creative variations.

Analyze campaign performance metrics, compare ads, and track attribution. Use when the user asks about campaign results, ROAS, CPA, conversion rates, or wants performance reports.