Lore
Five-Layer PPC Tech Stack
Overview
A framework arguing that scaling Amazon PPC effectively requires assembling a connected stack across five distinct layers, rather than relying on any single tool.
The Five Layers
- Research — demand and opportunity discovery (e.g., Helium 10 Blackbox (Product Discovery Filters), Jungle Scout, Data Dive)
- Campaign Management — day-to-day bid and campaign execution (e.g., Amazon Ads Console, Perpetua, Pacvue)
- Optimization — automated bid/rule optimization layered on top of campaign management (e.g., Teikametrics, Cortile, Ad Badger)
- Analytics — attribution and measurement (e.g., Amazon Marketing Cloud (AMC), Amazon Marketing Stream, Amazon Attribution)
- Conversion — listing and creative testing that determines what the PPC traffic converts against (e.g., PickFu, managed A/B experiments, Canva)
Application
Map existing tools to each layer and close gaps layer by layer, treating the five layers as a connected pipeline — research findings feed campaign structure, campaign results feed optimization rules, and analytics/conversion data feeds back into targeting and creative decisions — rather than treating PPC tooling as one undifferentiated category.
Из тем: Unsorted, PPC Optimization, Analytics & Advanced Targeting