TL;DR
A shipping-data mismatch suspended this brand’s Google Merchant Center account and disrupted Google Ads for roughly ten weeks. The impact spread to Meta, which had fewer high-intent visitors to retarget. Recovery meant fixing the product data first, rebuilding Google carefully, opening Meta prospecting, and giving each country enough budget to show demand. The result was stronger purchase intent and improved returns across both channels.
Google and Meta Share the Same Funnel
Google and Meta may have separate dashboards, but shoppers move between both. Someone researching a motorcycle seat cover may begin with a Google search, browse a few options, then see a Meta ad two days later. Google brings high-intent visitors to the site; Meta has more people to retarget.
One premium motorcycle accessories brand saw the effect in 2025. A mismatch in shipping costs across its website, Shopify, and Google Merchant Center led to a Merchant Center suspension. Google Ads was offline from July 17 to September 25, and its top Shopping products were disapproved.
Meta stayed live, but fewer ready-to-buy visitors reached the site through Google. The retargeting pool shrank, while a bid cap also limited Meta’s reach.
This is why channel-by-channel reporting can mislead during a fall. Weak Meta results may come from a Google approval or product-data issue. Google may also need time to recover after an outage. For technical products, the connection is even stronger: buyers often search for a precise fit first, then use other touchpoints to compare and decide.
When Product Data Stops Paid Ads
The suspension did not begin in Google Ads. It began when shipping costs on the website, in Shopify, and in Google Merchant Center stopped matching.
For this motorcycle accessories brand, Merchant Center flagged the issue. Google Ads was taken offline for roughly ten weeks, and several high-converting Shopping products were disapproved. The result affected more than Google. Fewer high-intent visitors reached the site, leaving Meta with a smaller retargeting pool.
These issues are easy to miss because the checkout, Shopify settings, Merchant Center, and ad account can sit with different people. By the time the problem appears in reporting, demand may already be going to competitors.
Recovery began by aligning shipping costs across the website, Shopify, and Merchant Center for Canada, the US, Australia, and New Zealand. The team also rebuilt the Google campaign structure, added negative keywords, and restarted with a high target return on ad spend and a small daily budget.
In January, Google produced $4,360 in conversion value from $744 in spend, a 5.86x return. Technical checks belong in the growth plan. When prices, shipping, availability, or product data drift out of line, paid media can stop working before the ads themselves have a chance.
Google and Meta Ads Recovery Needs an Order
When a paid-media account is in trouble, people often make several changes at once, then cannot tell which one worked or whether its effects had enough time to show. That muddies the data, each change shifts the ground for the next one. It leaves a mess.
In this case, the faults had piled up. Google was offline and key products were disapproved. During a market split, the US had also been removed from targeting. Meta’s bid cap was holding back delivery, while its retargeting pool was shrinking. Treating the whole thing as one vague results problem would have made it hard to see what helped.
First came stability. Fixing the shipping mismatch let Google run again. The Google structure was rebuilt, bad searches were filtered with negative keywords, and spend stayed low while the account relearned. At this point, the aim was to protect the budget and see whether the account could reach real buyers once approved products were back in market.
Next came the funnel. Meta’s bid cap was replaced with Highest Volume bidding after testing showed that the cap kept campaigns from reaching enough people. A content-view campaign was launched to bring more people into the audience pool. Retargeting can’t carry an account for long when few new people visit the site.
Scaling became useful only after those pieces were in place. The top-performing retargeting campaign stayed funded. Country-level prospecting campaigns had time to leave the learning phase before any performance calls were made. Google was watched for high-intent search demand, Meta was watched for the way it brought warm visitors back to the site.
There was no clean line between these phases. Google had been offline for about ten weeks, December revenue kept falling while work was under way, and the market split added another moving part. It was a clear order, but the work wasn’t clean. Fixing the data let ads run. Retargeting relied on new visitors coming back. After that, the platforms needed time to learn.
Stabilize Before You Scale your Ads
A large budget is rarely the right first move after a long Google Ads outage. The account has lost momentum, products may only just be eligible again, and old conversion patterns may no longer apply.
The first job is to check whether the account can still reach people ready to buy. That means starting with a clean campaign structure, eligible products, relevant negative keywords, and enough budget to get a useful read without exposing too much spend.
After the Merchant Center issue was resolved, the Google account was rebuilt from scratch. The team used a high target return on ad spend with a small daily budget while Google relearned. The aim was to protect spend before chasing volume.
This mattered for motorcycle accessories, where a shopper searching for a specific model and seat cover is already close to a decision. The account needed the right clicks, not every available click.
In January, Google generated $4,360 in conversion value from $744 in spend, a 5.86x return. Clicks rose by 1,096 and impressions by 70,305. Those results did not guarantee future performance, but they showed that the account could reconnect with high-intent demand once the feed and campaign structure were fixed.
Meta Retargeting Needs New Traffic
Retargeting cannot run on its own. It needs new people to visit the site, view products, and leave without buying.
That became a problem when Google had been offline for weeks. Fewer high-intent shoppers were reaching the site through Search and Shopping, while Meta’s prospecting campaigns were also limited by a bid cap. The retargeting audience was shrinking from both directions.
The bid cap was replaced with Highest Volume bidding to open up reach. The team also launched a dedicated top-of-funnel campaign optimized for content views, with one job: rebuild the audience pools that retargeting depends on.
The goal was not simply to make Meta spend more. It was to bring fresh, relevant visitors into the account so retargeting was not repeatedly reaching the same small group.
By January, Meta’s overall ROAS had improved 18.88% to 4.95x, while total spend fell 19% to $2,587. The seat covers catalog retargeting campaign generated $9,925 in purchase conversion value at a 9.18x return, up 36.73%.
Retargeting works best when acquisition keeps supplying it with new visitors. When the campaigns feeding it go quiet, its results usually follow.
Give Each Market a Fair Test
A global ad campaign can look fine when every country shares one budget. The ad platform can send most of the money to the country where it has already found buyers. That can lift results in the short run, although smaller markets may get too little spend to prove there are buyers.
The motorcycle accessories brand sold products in Canada, the US, Australia, and New Zealand. During the recovery, each country got its own campaign and the same daily budget. This did not assume every country would get the same result. It gave each market a proper test before the platform sent most of the spend to the country it knew best.
Markets can differ for simple reasons. Search use, shipping costs, stock, prices, and the size of the rider community all change what an ad account sees. A shared campaign can hide those differences. Country campaigns show where traffic is coming in, where sales follow, and where the offer may need work.
The January numbers gave the team more to work with. Canada generated $3.9K in revenue, up 57%. Australia generated $3.5K, up 23%. New Zealand generated $1.1K, up 255%. The US remained the largest revenue market at $12K, even though it had been removed from targeting during part of the restructure. Online-store revenue also came from more than 20 countries that month.
These figures don’t mean every business should split every country into its own campaign. Small budgets can get too thin when they’re spread across too many markets; some countries may never earn their own setup. The key question is whether there is enough budget and demand to give each market a fair test.
For this account, country-level budgets made the early signs easier to read. Canada, Australia, and New Zealand all showed growth, which gave the next budget call more to work from than the platform’s usual preference for a familiar market.
Traffic Quality Matters More Than Sessions
More website traffic can look like progress, especially after a difficult month. Yet sessions on their own don’t say much about whether a store is reaching people with a reason to buy. A large rise in low-intent visits can make a dashboard look busy while the checkout stays quiet.
The January data from this case showed the opposite pattern. Sessions fell by 4%, but the people who did arrive moved further through the store. Add-to-cart rate rose 13%, checkout reach rose 12%, and completed purchases rose 11%. Conversion rate increased 15% to 0.68%.
That pattern fits the rest of the recovery. Google was again able to serve products to people searching with clear intent. Meta was rebuilding the pool of visitors who had looked at products and could later be retargeted. Less traffic arrived overall, yet a greater share of it was closer to making a purchase.
Average order value also rose 28% to $167.26, while online-store revenue reached $27.5K, up 15%. Those numbers suggest that the store was doing a better job of turning relevant visits into higher-value orders. They don’t show which single change caused the result, because product availability, search demand, bidding, and retargeting were all changing at the same time.
For paid-media teams, this is why sessions should sit near the start of the report rather than at the end of the story. The more useful view follows the customer’s path through the site: did they add a product to the cart, begin checkout, and finish the purchase? When those steps improve while sessions decline, the account may be becoming more efficient even before overall traffic grows again.
The goal is not to make traffic a secondary concern. The goal is to judge it alongside the actions that show intent, especially when an account is coming back from a period in which its best sources of demand were constrained.
Paid Media Works as a System
Google returned 5.86x on $744 in January, while Meta’s strongest retargeting campaign returned 9.18x. Those results followed a series of fixes: shipping data was aligned so products could serve again, Google and Meta prospecting brought new visitors back, and country-level campaigns made demand easier to see.
The case shows why platform-by-platform reporting can miss the real problem. Weak Meta retargeting may begin with a Google Merchant Center issue. Low returns may come from a thin prospecting audience. Paid media works better when the product feed, acquisition campaigns, retargeting, and market structure support each other.
It also shows why one number such as ROAS is not enough. Sessions fell 4%, while conversion rate, add-to-cart rate, checkout reach, completed purchases, and average order value improved. Fewer visits were producing more useful activity.
The first problem was a shipping-cost mismatch across the website, Shopify, and Merchant Center. If results are slipping and the reason is unclear, use the Performance Gap Checklist to review your account health to spot the drift before adding more budget.