Programmatic & Native Media Buying Consultant

StackAdapt Consultant Needed for Programmatic & Native Ads Strategy We are looking for an experienced StackAdapt consultant to help us evaluate, plan, and structure programmatic/native ad campaigns for a home services lead generation brand. We are not looking for a full-time campaign manager or someone to take over day-to-day media buying. We are looking for someone who can advise us on how to properly use StackAdapt, avoid common mistakes, and build a strong testing strategy before we scale spend. We currently run paid media across Meta and TikTok and are exploring StackAdapt for native, display, retargeting, contextual targeting, and programmatic placements. The right person should be able to review our goals, funnel, landing pages, targeting options, tracking setup, and campaign structure, then give us clear recommendations on how to launch and test StackAdapt correctly. What We Need Help With - Reviewing our current funnel and advising if StackAdapt is a good fit - Recommending the right campaign structure for native/display/programmatic - Advising on targeting strategy, including contextual, behavioral, retargeting, and lookalike audiences - Helping us understand which placements and inventory types to test or avoid - Reviewing tracking, pixels, conversion goals, and reporting setup - Advising how to measure performance beyond CTR, CPC, and CPM - Helping us define realistic testing budgets, timelines, and KPIs - Reviewing creative angles and recommending what formats may work best - Helping us build a test plan our internal team can execute Campaign Context We are in the home services lead generation space, focused on categories like: - Bathroom remodeling - Roofing - Windows - Siding Our key metrics are qualified leads, booked appointments, CPL, cost per appointment, and downstream lead quality/revenue, not just traffic or awareness. We need someone who understands direct-response advertising and can help us think through whether StackAdapt can become a profitable acquisition channel. Ideal Experience Please only apply if you have hands-on experience with some or all of the following: - StackAdapt strategy and campaign planning - Native advertising - Programmatic display - Contextual and behavioral targeting - Retargeting strategy - Lead generation campaigns - Conversion tracking and pixel strategy - GA4, GTM, postbacks, or CRM tracking - Home services, finance, insurance, legal, or other high-intent lead gen verticals Potential Deliverables This project may include: - Review of our current funnel, landing pages, and campaign goals - StackAdapt strategy call or consulting session - Recommended campaign structure - Targeting and audience recommendations - Tracking/conversion setup review - Suggested testing budget and KPI benchmarks - Creative and placement recommendations - Written action plan for our internal team to execute Who This Is Not For We are not looking for someone who only wants to manage campaigns without explaining the strategy. We are also not looking for a branding-only media buyer focused only on CPMs, impressions, or awareness metrics. We want a consultant who can help us understand how to test StackAdapt properly for lead generation and avoid wasting spend during the learning phase. To Apply, Please Answer These Questions - How much experience do you have with StackAdapt specifically? - Have you consulted on StackAdapt strategy before, or mainly managed campaigns directly? - What types of lead generation campaigns have you worked on through StackAdapt? - What targeting strategy would you recommend testing first for home services lead gen? - How would you structure a 30-day StackAdapt test? - What are the biggest mistakes advertisers make when starting on StackAdapt? - Can you review tracking and conversion setup, even if you are not the one implementing it? Budget Open to hourly or project-based consulting. Ideally, we would start with a strategy review and action plan, then potentially continue with occasional advisory calls as we test campaigns internally.