What we own
- Monthly operating reviews and priority decisions.
- Focused Shopping Feed, label, and product-pool analysis.
- Search, Shopping, PMax, and audience experiment design.
- Review of budgets, bidding, structure, and material changes.
Acquire · Ongoing consulting
Give your in-house team a steady source of expert judgment
First implement account access, data baselines, the analysis framework, and review routine. Your team then keeps day-to-day execution while we periodically review media, product, inventory, order, and profit evidence, challenge major changes, design experiments, and follow the resulting decisions.
A one-time implementation establishes the consulting baseline, followed by monthly operating reviews, focused analysis, experiment design, and team support. Data depth and cadence are confirmed in scope.
Who this is for
Teams with in-house operators or an agency that need sustained independent judgment, focused analysis, and executive perspective.
Decision this page supports
Decide whether you need an external advisor who participates in material decisions without replacing daily ownership.
Questions covered
Pricing
One-Time Implementation Fee + Monthly Consulting Service Fee
Shared professional scope
The services differ by operating responsibility and delivery model. They do not rebuild five separate data and product systems. Global storefronts share data sources, metric definitions, and the review method, while local goals, products, channels, budgets, and approval rules are configured market by market.
Advertising measurement & operating attribution
Review platform, site, order, refund, profit, and bounded attribution evidence together.
Advertising operating analysis & Agent BI
Explain pressure across platform, site, order, product, and customer layers, then record actions and review outcomes.
Global Shopping Feed consistency
Keep product facts aligned across storefronts, markets, and platforms.
Product operating labels
Bring margin, inventory, price bands, lifecycle, and performance into media decisions.
Product pools & economics
Identify products to scale, observe, repair, or exit.
Search operations
Manage intent, keywords, queries, negatives, and landing pages.
Shopping operations
Manage eligibility, product groups, price, inventory, labels, and traffic.
Performance Max operations
Manage goals, product scope, assets, signals, budget pressure, and experiments.
Audiences & first-party activation
Use customer groups for acquisition, suppression, remarketing, and repeat value.
Budgets, bidding & experiments
Give every scale decision a hypothesis, guardrail, and review window.
Ads AI Agent & human-in-the-loop
Agents handle frequent work while people retain strategy and consequential approval.
Platform integration & system co-build
Connect platforms, internal systems, approvals, and production actions per project.
Two priority modules
Covers product sources, market rules, primary and supplemental Feeds, incremental updates, quality checks, and platform feedback. Industry-leading refers to the integrated scope across Feed, price, inventory, profit, fitment, labels, and advertising outcomes—not a market ranking or performance guarantee.
Turn price bands, margin, inventory, lifecycle, and historical performance into continuously updated product groups used in pools, reports, campaigns, and experiments. feed_label identifies data-source scope; custom_label_0–4 are product-level operating labels.
Search captures explicit demand, Shopping operates product traffic, and Performance Max expands effective coverage. They share product, demand, profit, and order evidence but should not be managed as one undifferentiated channel.
Product and media priority decides what to advertise. The media plan and experiment record explains how. Advertising results and customer journey analysis show whether the investment is worth continuing. When CAC rises, review demand and competition, budgets and bids, search terms and audiences, creative, Feed eligibility, product economics, site and payment, then measurement and change history. Platform CPA is not new-customer CAC, and ROAS is not profit; the decision also needs valid orders, refunds, inventory, and contribution profit.
Human-in-the-loop
Agents can monitor, explain, simulate, recommend, and report. Material changes to budgets, structure, audiences, or product scope move through risk-based human approval, with action logs, stop conditions, and recovery paths.
Monitor
Explain
Prepare recommendation or simulation
Route by risk
Approve, execute, and log
Review and recover
Delivery boundary
Configure existing data, methods, reports, Agents, and available connections.
Adapt or build against accounts, platforms, product rules, APIs, and production actions.
Build client-specific capability for multiple markets, complex organizations, and internal systems.
Consulting provides judgment, experiments, and independent review. Paid media management makes us responsible for daily account operations.
Yes. We can provide independent review, provided responsibilities and access are clear.
It establishes account and data access, the operating baseline, analysis framework, and recurring review mechanism. Accepted outputs from a prior diagnosis are reused rather than rebuilt.
No. Work follows the most important business questions and valid observation windows rather than manufacturing activity.
Share one market, the current team model, and the hardest recent decision. We will define the advisory scope and cadence.
Contact us
This takes about three minutes. No complete report pack is required; we reply within one business day and recommend the right starting point.