Full-Service Growth Management
Advertising Execution
Marketplace Operations
GOOGLE ADVERTISING
Eva brings a decade of commerce expertise to Google, built on understanding what actually converts to purchase, not just what generates clicks.
Search, Shopping, P-Max, and YouTube structured for Shopify growth, with the measurement foundation to prove every dollar.
The Problem
Google is the highest-intent search channel available to ecommerce brands. But intent is not the same as interest — and most agencies treat them identically. The result: budget poured into audiences who browse but don’t buy, measurement set up wrong so no one knows what converted, and landing pages that lose the sale after the ad wins the click.
Core Distinction
Every Google channel serves a different buyer state. Treating them identically is the most common and most expensive mistake in ecommerce advertising. Eva structures every campaign by matching the channel to where the buyer actually is.
The Commerce Expertise Advantage
Generic Google agencies optimise for clicks and ROAS. Eva optimises for purchase — because we run Amazon advertising at scale and understand buyer behaviour across the full commerce funnel. That knowledge directly improves Google performance.
What Eva Manages
Eva vs Standard Agency
1
2
3
Capability
Eva Commerce
Standard Agency
Measurement
GA4 + GTM + Shopify purchase events — full ecommerce attribution
Basic conversion tracking
Keywords
Purchase intent-based — exact match isolation by campaign type
Volume-based, traffic-focused
Shopping Feed
Continuous optimisation — titles, attributes, pricing, images
Set up once, rarely optimised
P-Max Signals
Shopify customer lists, product affinity, high-LTV cohorts
Generic Google first-party data
Bidding Basis
Shopify contribution margin — profit-aware by product category
Google’s revenue / ROAS targets
Landing Pages
Shopify PDP and landing page optimisation — managed with ads
Not managed
Intent vs Interest
Search/Shopping separated from Display/YouTube by buyer state
Not differentiated — same budget logic
Commerce Context
Amazon + Shopify data informs Google keyword and audience strategy
Google channel only
Cricket
The Cricket Company Doubles Amazon Ad Sales While Improving Profitability with Eva’s Commerce Growth System
Maelys
Scaling TikTok Shop Revenue While Increasing Shopify Conversion and Profitability
View All Case Studies
Eva helped us align our Amazon operations across the US and Japan into one system. By connecting advertising, content, and inventory, we gained better visibility and control over performance.
This allowed us to improve conversion, stabilize operations, and scale more efficiently across both markets.
Teruhiro Kawabe
Chief Marketing Officer
Eva brought structure and intelligence to our Amazon advertising. By combining AI-driven optimization with expert execution, we were able to double our ad sales within six months while maintaining strong return on spend.
Tina Fichera
VP of eCommerce, The Cricket Company
I see Eva as the system that connects demand, ranking, and conversion across Amazon, Shopify, and TikTok. Their combination of AI and expert operators has significantly increased our visibility while improving profitability.
Juliette Fasset
CEO, Happy Products Inc.
“Eva helped us turn TikTok into a real revenue engine, not just a content channel.
What changed was the structure. Creator activity became measurable, scalable, and directly tied to revenue.
We moved from unpredictable spikes to consistent growth.”
Beth Milligan
Operations Director, Drybar
Eva enabled us to unify Amazon advertising, data, and execution into one system. This allowed us to scale demand efficiently while maintaining strong control over profitability across markets.
Linda Vargova
Head of eCommerce, MyProtein
Real outcomes from brands using Eva across Amazon, Shopify, and TikTok
Based on aggregated performance across Eva-managed brands
Search captures buyers actively looking to purchase — high intent. Display and YouTube reach people who are interested in a category but not yet searching — interest. Eva builds separate campaign structures for each, with distinct bidding logic, budgets, and creative. Conflating the two is the most common way ecommerce brands waste Google budget.
Without GA4 enhanced ecommerce tracking and correct Shopify purchase event configuration, Google’s bidding algorithms optimise on incomplete or incorrect signals. That means P-Max and Smart Bidding campaigns are trained on bad data from day one. Eva builds the measurement foundation first — this is a prerequisite, not an add-on.
P-Max performance scales with audience signal quality. Eva feeds Shopify and Amazon-derived customer purchase history, product affinity data, and high-LTV cohort lists as audience signals. We also apply Amazon keyword intelligence — understanding which search terms and product attributes drive real purchase decisions — to Google keyword architecture.
Yes. Eva manages both ends of the conversion. Google traffic lands on Shopify — if the page isn’t built to convert, ad spend is wasted. Eva optimises PDP hierarchy, offer framing, and checkout path alongside the campaigns, so conversion rate and traffic quality improve together.
Get Started
Most brands underperform it because measurement is wrong,
campaigns aren’t structured by buyer state,
and the landing page is never optimised. We fix all three — before scaling spend.
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