The cookbook
Nothing here by that name.
A ground-up Google Ads playbook for mattress and bedding retailers: build tracking first, capture high-intent searchers on a lean budget, then let Shopping automation scale what's already working.
A four-phase Meta blueprint that builds pixel data before spending on automation, so a furniture brand with no history can grow without wasting budget on audiences that are too thin to convert.
A four-phase Meta blueprint that builds pixel data from cheap engagement before scaling into Advantage+ Shopping — designed for home decor brands with no ad history and a modest daily budget.
A four-phase Meta blueprint that builds audience data before spending on automation — the only way to make Advantage+ Shopping work for a luxury brand with no pixel history.
A four-phase Meta blueprint that builds pixel data from scratch, seeds the algorithm with cheap engagement, then scales with Advantage+ Shopping once the account has real purchase signals.
A ground-up paid advertising playbook for hobby shops and collectibles sellers with no pixel history, modest budgets, and audiences that live somewhere between active search and passionate browsing.
A step-by-step paid advertising playbook for toy and game brands building their first real ad engine from scratch — tracking first, data second, automation third.
A ground-up paid ad plan for baby product brands with a modest budget, no pixel history, and a need to build real purchase data before handing control to automation.
A ground-up paid media plan for pet food and treat brands with no pixel history, modest budgets, and a need to earn every dollar of data before scaling automation.
A ground-up paid advertising playbook for sports equipment retailers with no pixel history, modest budgets, and real purchase intent to capture on Google before layering in Meta discovery.