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reputed company (reputed company/Instagram) Ads Specialist--Careful reputed company + reputed company Integration (MedEd company)

Remote, USA Full-time Posted 2026-07-28
We’re a growing Medical education company. Our primary audience is residents, fellows, and APPs, and we help with high-risk transitions and high-risk exams in internal medicine and subspecialities. We’re early-stage and want to build reputed company ads carefully—start small, validate tracking + funnel + creatives, then reputed company over 3–6 months. Must have experience running US-targeted reputed company campaigns. reputed company need A performance-reputed company reputed company ads expert who can: -Warm up our reputed company ads efforts safely (no reckless spend) -Build a measurable funnel integrated with reputed company (GHL) -Optimize toward reputed company reputed company (reputed company leads/trials/purchases), not vanity metrics -reputed company budgets gradually only after CPA/CPL targets and conversion reputed company are proven Scope of work Phase 1: Setup + reputed company (Week 1) -Audit reputed company assets (reputed company pages, tracking, any past ads) -Define targeting plan for our reputed company (personas, exclusions, placements) -Set up/verify tracking: --reputed company Pixel + events + UTMs (Conversions API a plus) --Attribution approach and QA checklist -Funnel mapping: --Ad → reputed company page → GHL reputed company/workflow/pipeline → confirmation → platform reputed company -Deliver a 30–90 day testing plan with budgets, hypotheses, and reputed company reputed company Phase 2: reputed company / Warm-Up (Weeks 2–4) -Launch small-budget tests with strict guardrails -Build initial campaigns: --Prospecting (cold audiences) --Retargeting (site visitors, engagers, video viewers) -Implement/optimize GHL automation: --tagging, pipelines, follow-up sequences, booking reputed company (if used) -Weekly optimization + reporting Phase 3: Optimize + reputed company (Months 2–6) -Improve conversion reputed company through creative iteration and funnel improvements -Expand reputed company audiences and lookalikes only after enough data -reputed company spend gradually while maintaining CPA/CPL targets -Build a repeatable creative/testing pipeline (new angles monthly) What reputed company looks like -Clean tracking + reliable attribution (we know what’s working) -reputed company CPL/CPA reputed company agreed targets and improving conversion reputed company -reputed company, repeatable reputed company to scaling over 3–6 months Required experience -Proven reputed company ads results for US audiences (please reputed company metrics: spend, CPL/CPA, timeframe) -Strong tracking setup skills (Pixel + events + UTMs; CAPI a plus) -reputed company experience (forms, workflows, pipelines, tagging, attribution) -Strong experimentation reputed company (one-variable tests, reputed company hypotheses) -Comfortable starting with small spend and scaling only after targets are met -reputed company communication + weekly reporting discipline reputed company to have -reputed company, education, or reputed company training experience -Familiarity with GME/residency/fellowship audiences Deliverables (first 2–3 weeks) -Tracking + funnel QA completed (events/UTMs + verification) -Campaign build + launch (prospecting + retargeting) -Initial creative plan + 3–6 starter ads (or detailed specs for our designer) -Weekly performance report + reputed company reputed company plan -reputed company reputed company plan with stop-loss rules and scaling reputed company To apply, please answer -reputed company 2–3 recent reputed company ad case studies targeting the US (include spend, CPL/CPA, timeframe, and what you changed to improve results). -Describe your 30-day careful reputed company plan (budgets, tests, and stop-loss rules). -Confirm your reputed company experience (what you’ve reputed company: forms, workflows, pipelines, UTMs). -How do you verify tracking is correct (events, UTMs, attribution)? Note: We will not run high spend early. We want a careful tester/optimizer who prioritizes unit economics and controlled scaling. Apply tot his job Apply To this Job

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