Meta Creative Intelligence
Problem it solves
Meta accounts often generate more noise than signal because creative decisions are separated from product economics and landing page response.
How it works
We combine ad account data, customer language, review themes, and onsite conversion behavior to sharpen hooks, formats, and scaling calls.
Expected results
Expect clearer creative testing priorities, tighter spend allocation, and stronger evidence for what deserves more budget.
Who it is for
Best for brands spending consistently on Meta and needing a more disciplined creative operating model.
Mini case study: weekly budget shifts moved 70 percent faster after Meta and onsite signals were connected.
Google Demand Capture
Problem it solves
Google performance falls when search intent, product feed logic, landing pages, and margin data are managed separately.
How it works
We map profitable demand at the query, product, and landing level so the account structure reflects actual commercial value.
Expected results
Brands typically gain better query coverage, cleaner product group decisions, and more confidence in bid and budget priorities.
Who it is for
Best for retailers with broad product ranges, active shopping campaigns, and meaningful variation in product economics.
Mini case study: an electronics retailer improved blended ROAS to 3.1x after rebuilding Google and landing page feedback loops.
TikTok and Cross Channel Signal Layer
Problem it solves
TikTok, Meta, Google, and lifecycle channels often report success differently, which slows action and creates channel level arguments instead of revenue decisions.
How it works
We unify channel, creative, and landing signals into one decision layer so spend and messaging choices are made from a shared commercial view.
Expected results
The expected effect is faster testing, sharper channel roles, and better alignment between paid acquisition and retention economics.
Who it is for
Best for brands running multiple acquisition channels and needing a clearer blended performance picture.
Mini case study: a growth team cut weekly reporting assembly time by 8 hours after deploying a blended channel view.