Spend rises. Revenue quality falls.
More traffic and conversion value can conceal weaker buyers, shallower baskets, heavier discounting, or a worse product mix.
eCommerce Google Ads & Shopping
We connect Google Shopping, Performance Max, Search, product feeds, tracking, inventory and unit economics—so your account is judged by business outcomes, not platform ROAS alone.
Best fit: established eCommerce brands with validated demand, meaningful paid-media investment, and the capacity to act on what the data reveals.
The acquisition system
↺ Every result becomes an input to the next decision.
The expensive signal
Platform averages rarely tell you which customers, products, orders, or constraints are producing the result. We start with the contradiction the business can feel—even when the dashboard looks acceptable.
More traffic and conversion value can conceal weaker buyers, shallower baskets, heavier discounting, or a worse product mix.
Performance Max can only optimize toward the products, feed data, conversion actions, and value signals it receives.
Tracking, inventory, offer clarity, site trust, conversion friction, margin, and retention can all change what paid media can achieve.
Our point of view
The advertising account is not the business.
We manage Google Ads in the context of the store it serves. That means understanding the brand, products, market, offer, customers, margins, inventory, conversion path and measurement before deciding what deserves more budget.
Inside the platforms, we still do the detailed work: campaign architecture, Shopping and Performance Max, Search, negatives, assets, bidding, budgets, product segmentation, feed quality and ongoing optimization. The difference is what those decisions are designed to accomplish.
Scale only when the signal, economics, product availability and customer quality support the same conclusion.
What we manage
Each part has a purpose: create a cleaner signal, capture better demand, and make the next investment decision easier to defend.
Campaign structure, product segmentation, assets, bidding and budget guardrails shaped around commercial priorities—not a one-campaign default.
Branded and non-branded demand capture, query control, landing-page alignment and budget allocation based on the job each search is doing.
Product data, titles, attributes, diagnostics, disapprovals and availability signals reviewed as acquisition inputs—not admin housekeeping.
Conversion actions, value rules, store data and signal paths checked before automation is trusted with more spend.
Margin, product mix, inventory, seasonality, new-customer goals and repeat value become practical constraints on budgets and scale.
Clear dashboards, prioritized tests and plain-language decisions: what changed, what the evidence says, and what happens next.
How the engagement works
The sequence matters. We establish what the business needs, which signals can be trusted, and where the constraint lives before treating budget as the answer. See how that becomes a practical first-30-day eCommerce engagement plan.
Brand, products, customers, competitors, demand, inventory, offer and the economic model behind a new customer.
Account, feed, measurement, funnel and order-quality review. We separate observed facts from the hypotheses that need testing.
Prioritized campaign, feed, creative, landing-page and measurement work—with owners, guardrails and an explicit reason for each change.
Read results in business context, move budget where evidence supports it, stop weak paths, and feed the learning into the next cycle.
Evidence, not a highlight reel
These analyses show how we investigate a costly signal before jumping to the familiar answer.
We looked beyond the account total to understand how the traffic and order mix had changed—and why more activity did not mean better growth.
Read the analysis → Inventory & availabilityAccount-level stock status said the products were available. Variant-level reality told a different story about what shoppers could actually buy.
Read the case →The cases demonstrate the diagnostic method and the evidence available in each situation. They do not guarantee the same outcome for another business.
What working together feels like
You should know what we are investigating, what changed, what the evidence says, and which decision is next.
Targets, definitions and guardrails that connect media performance to the economics of the business.
Campaign, feed, measurement, creative and website work ordered by expected impact and dependency.
Channel data beside the product, order and customer signals needed to interpret it responsibly.
What moved, what did not, what we learned and what the next cycle will test or change.
Fit matters
Connected capabilities
These capabilities support the same acquisition decision. Their dedicated pages are planned and will be linked only after the paired English/Hebrew destinations are live.
Repair the path between media, store or calls, and real revenue.
Turn concepts, angles, hooks and assets into a structured learning system.
Find the trust, offer, UX and conversion barriers paid traffic exposes.
See media beside margin, product, order, inventory and customer data.
Before we talk
No. Shopping, Performance Max and Search are core execution channels, but the work begins with the products, customers, economics, inventory, feed, website and measurement that determine what those campaigns can achieve.
The scorecard depends on the business. It may combine new-customer acquisition cost, contribution margin, product and order mix, conversion quality, inventory, repeat value and channel efficiency. We agree on definitions before using them to scale.
There is no honest universal timeline. Data quality, account history, demand, economics, inventory, offer, website and testing volume all matter. The first objective is to establish a trustworthy baseline and a prioritized path—not manufacture an early promise. Our analysis of why profitable advertising has no fixed timeline explains the decision in more detail.
Then measurement becomes an early dependency. We trace the signal path, identify which decisions are unsafe, and define what must be repaired before automation or budget increases can be trusted. One example is our investigation of calls recorded in CallRail but missing from Google Ads.
We work best with established businesses already investing meaningfully in paid acquisition. Fit depends on the economics, data quality, operating capacity and opportunity—not spend alone. We confirm that after an initial conversation.
No. Demand, competition, pricing, product, inventory, website, creative and customer behavior are not fully controlled by an agency. We can guarantee a transparent process, explicit hypotheses, careful measurement and accountable decisions—not a predetermined market outcome.
Start with the real question
We will tell you what we would inspect first, which assumptions need evidence, and whether Shopping Ads Solutions is the right partner for the work.
Tell us how to reach you. After you submit, Calendly opens so you can choose a time.