Ad Creative Brief
Maya-Beth FinottiCreates evidence-backed creative briefs for advertising concepts, covering angles, hook directions, production specs, testing intent and handoff.
The directory
1,073 skills
Creates evidence-backed creative briefs for advertising concepts, covering angles, hook directions, production specs, testing intent and handoff.
Designs CRM lead assignment systems covering account matching, territory rules, fair distribution, fallback queues and SLA-based escalation.
Verifies ad conversion tracking before launch, tracing test events, checking deduplication, consent, values and statuses, then issuing a GO or NO-GO decision.
Designs pre-launch paid-media creative test plans with hypotheses, budgeted test cells, sample sizing and pre-registered kill or scale rules.
Selects and sizes customer seeds for Meta, Google, LinkedIn and TikTok lookalike audiences, checking match rates, privacy and fallback options.
Tracks campaign or account spend against a period budget across ad platforms, flags meaningful under- or over-pacing, and calculates the daily correction required.
Routes paid advertising projects to the right skill in a 31-skill collection, preserving shared context across sessions and identifying gaps when no route fits.
Diagnoses underperforming paid ad accounts by tracing tracking, structure, targeting, creative, bidding, offer and external causes.
Sets paid-media CAC, ROAS, cash and kill-switch guardrails from contribution margin, payback and runway, with owners, overrides and restart rules.
Diagnoses whether a running ad is suffering creative fatigue or a confounder across Meta, Google Ads, LinkedIn and TikTok, then recommends the next action.
Computes CAC, ROAS, MER and payback from advertising spend data, then judges spend health against break-even, history and external benchmarks.
Maps an ICP and buying signals into sized, budgeted ad audience tiers for prospecting, lookalikes, first-party lists and retargeting without overlap.
Allocates a fixed paid-media budget across campaigns, platforms and funnel stages using marginal return, evidence gates and bounded reallocation rules.
Plans budget increases for proven paid campaigns, choosing step sizes, hold periods and rollback triggers while checking marginal economics, evidence and capacity.
Maps B2B buying committees and multi-decider household purchases to role-specific messaging, ad-platform targeting proxies and buying-stage sequences.
Selects paid advertising channel families by business economics, audience, funnel stage, budget and allowable CAC, then defines a focused test plan.
Plans paid-advertising careers with interview preparation, skill-gap roadmaps, NDA-safe portfolios and choices between agency, in-house and freelance work.
Builds hiring packets for paid-advertising roles, covering role scope, scorecards, interview loops, work samples and staged 30-60-90 ramps.
Designs multi-stage retargeting plans for paid advertising using conversion data, audience exclusions, message ladders, frequency caps and measurement tests.
Documents Browser Use Cloud APIs and SDKs for hosted browser automation, sessions, profiles, CDP connections, proxies and integrations.
Creates an end-to-end map of a customer experience, covering stages, touchpoints, emotions, pain points and improvement opportunities.
Injects external Dart files into dartdoc documentation, with regions and hidden setup lines for focused, analyzable code examples.
Makes .NET projects compatible with Native AOT and trimming by resolving IL analyzer warnings with annotations, refactoring and source-generated JSON.
Creates and reviews .NET P/Invoke and LibraryImport declarations for native libraries, including types, strings, memory ownership and handles.