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Canadian retailers running Shopping at low ROAS almost always share one root cause: a product feed that Google cannot use effectively to match products to buyer intent. We rebuild the feed first, then construct campaigns around your margins and commercial priorities.
Shopify Merchants in Canada Ready to Scale Shopping — You are on Shopify, your catalogue is live, and Google Shopping is either not working or working below expectations. Shopify's Google integration gets the feed connected, but it does not engineer the feed for performance. Title structure, attribute mapping, and variant handling all need deliberate work beyond what the default integration provides.
Canadian Retailers Seeing Flat or Declining ROAS — Your Shopping campaigns have been running for months and ROAS is not improving. You have made bid adjustments, experimented with campaign structures, and tested different strategies — but without addressing feed quality and campaign segmentation, surface-level changes produce marginal results. The problem is structural, not tactical.
Multi-Province Retailers Needing Geographic Budget Control — You operate across provinces — Toronto, Vancouver, Calgary, and beyond — with different product demand, seasonal patterns, and competitive intensity by market. A single national Shopping campaign cannot account for these differences. You need campaign architecture that reflects Canadian geographic and seasonal variation.
The Shopify Google integration pushes product data to Merchant Centre, but it does not structure titles for Shopping search match quality. Product titles built for your storefront — short brand-forward names — do not reflect how Canadian buyers search. The result is poor query matching and low impression share on commercially relevant terms.
Canadian retailers across fashion, homewares, outdoor equipment, and consumer electronics frequently run all SKUs in a single Shopping campaign. Budget distributes based on Google's predicted click probability across the entire catalogue, not your margin priorities. High-value products compete for budget with low-margin items, and ROAS reflects the blended average rather than the potential of your best lines.
Google has pushed Canadian advertisers toward Performance Max, and many have migrated Shopping into PMax without understanding the implications. Without proper asset group segmentation and audience signal configuration, PMax distributes budget across channels in ways that reduce Shopping efficiency rather than improving it.
Canadian privacy law under PIPEDA affects how retargeting audiences are built and used in Shopping and PMax campaigns. Many Canadian retail accounts are running audience strategies built on non-compliant data practices. This creates both legal exposure and, increasingly, signal quality issues as consent-based data replaces third-party cookie data.
We audit and rebuild your Shopify-integrated Merchant Centre feed, re-engineering product titles with a structure that reflects Canadian buyer search behaviour, correcting attribute mapping, resolving disapprovals, and establishing supplemental feed management for attributes that Shopify does not natively push. Feed quality is monitored on an ongoing basis, not checked once at setup.
We segment your catalogue by product category, margin tier, and geographic priority — building separate campaigns for your highest-value lines, core products, and clearance stock. Where Canadian provincial or city-level differences justify it, we build geographic modifiers into the campaign structure.
We build a negative keyword framework to prevent spend on searches that will not convert — informational queries, competitor brand terms, and category-adjacent searches. Canadian English search patterns are accounted for, including Canadian-specific product terminology and spelling conventions.
We set Smart Bidding targets based on your actual CAD margin data and Canadian conversion rates. Initial targets are conservative and staged appropriately — manual CPC to enhanced CPC to tROAS — ensuring Google's algorithm has sufficient clean data before autonomy is expanded.
We integrate PMax into your Shopping strategy with proper asset group segmentation, first-party audience signals built on PIPEDA-compliant data practices, and a campaign structure that separates PMax from standard Shopping rather than merging them. Monthly reporting distinguishes Shopping performance from broader PMax channel attribution.
Shopify's native Google and YouTube app connects your catalogue to Merchant Centre and keeps it in sync, but it does not engineer titles or attributes for Shopping performance. Product names and descriptions exported directly from Shopify are written for your storefront, not for Google's query matching. A supplemental feed layer is typically required to push properly structured titles, mapped attributes, and custom labels — and this is almost always the single biggest improvement lever for Shopify-based Shopping accounts in Canada.
PIPEDA (Personal Information Protection and Electronic Documents Act) governs how Canadian businesses collect, use, and disclose personal information. For Shopping and Performance Max retargeting, this means audience lists must be built on data collected with appropriate consent. First-party data — email lists, on-site behaviour with consent, customer match — is the foundation of a compliant and durable retargeting strategy. We build audience architecture on first-party data from the start, which also improves signal quality as third-party cookies are phased out.
Standard Shopping and Performance Max serve different functions. Standard Shopping gives you direct control over product segmentation, ROAS targets by tier, and search term visibility. PMax gives Google more latitude to find conversions across channels — display, YouTube, search, and Shopping — using your asset groups and audience signals. We use both in a structure where they serve distinct objectives. For most Canadian retail accounts, standard Shopping campaigns for core product lines are the foundation, with PMax layered on top for prospecting.
Canadian e-commerce has pronounced seasonal demand patterns that vary by province — outdoor season in British Columbia, winter goods in Alberta and Ontario, and national peaks around Black Friday, Boxing Day, and back-to-school. We account for this in campaign architecture through geographic bid modifiers and seasonal budget planning, adjusted against your historical trading data and updated at the start of each major seasonal period.
Realistic ROAS varies substantially by product category, average order value, and competitive intensity. Consumer electronics and commoditised product categories operate at lower ROAS than specialty goods with higher margins. As a baseline, accounts that have been properly restructured — feed rebuilt, campaigns segmented, bidding calibrated — consistently move from sub-2× ROAS to 3–4× ROAS within 90 days. Higher-margin categories with strong brand demand often exceed this. We set targets based on your specific margin data, not category benchmarks.
Shopify connects the catalogue. Feed engineering makes it perform. Canadian retailers leaving Shopping ROAS below 3× almost always have a feed or campaign structure problem that has not been diagnosed. The audit takes five days, covers your Merchant Centre, Shopify integration, campaigns, and PIPEDA audience compliance, and gives you a prioritised action list.
5-day turnaround · Feed audit + campaign review · No retainer required