E-commerce
September 18, 2026
Are you wondering how to adapt your post-Covid e-commerce strategy with Google Analytics? The answer lies in one sentence: analyze changes in purchasing behavior by channel, by geographic area, and by product, then adjust your marketing actions and your catalog accordingly.
The health crisis has disrupted habits: some products have skyrocketed, while others have collapsed. Without a detailed reading of your data, you risk keeping unsuitable stock or missing sales opportunities. Google Analytics gives you the keys to react quickly and effectively.
So how do you adapt your post-Covid e-commerce strategy with Google Analytics? On the agenda:
How to measure the overall impact of the crisis on your sales?
Which acquisition channels have changed the most?
How to identify high-demand products?
How to adjust your advertising campaigns?
What monitoring routine should you put in place to last?
Let's go.
Summary
Why compare your data to the previous year?
The post-Covid period has created a major shift compared to previous years. Comparing your current performance to the previous year allows you to quickly visualize trends: growth, stagnation, or decline. Without this comparison, you are flying blind.
In Google Analytics, open the Acquisition > All Traffic > Channels report. Select a recent period, for example the last 30 days, then enable the "Compare to" option and choose "Previous year". You will then get a clear view of how your key metrics are evolving.
This comparative analysis is the starting point for any strategic decision. It prevents you from relying on subjective impressions and anchors you in the quantifiable reality of your store.
To go further, do not hesitate to segment your data by device type or traffic source. The same channel can hide very different realities depending on whether your customers are using a mobile device or a computer. By cross-referencing these dimensions, you refine your understanding of changes and identify the most effective levers to boost your business.
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The 5 key metrics to monitor after the crisis
Not all metrics are created equal. To measure the impact of the crisis, focus on five essential metrics: users, sessions, transactions, conversion rate, and revenue. This data, cross-referenced with enhanced ecommerce, gives you a complete view of your business.
Observe global variations, but also by channel. Did organic traffic increase? Did paid ads generate more sales? Did the conversion rate drop on a specific source? Each answer guides your next actions.
Don't settle for a simple glance. Dig into the differences: a sharply rising channel may reveal an opportunity to scale up, while a declining channel may signal a problem to fix quickly.
Also, remember to track the average order value and the return rate. These additional metrics help you understand if the increase in sales is accompanied by an increase in customer satisfaction. An increase in returns can indicate a quality or matching issue, requiring prompt action.
Analyze performance by geographic area
Covid-19 did not affect all regions in the same way. Some areas experienced strict lockdowns, while others had lighter restrictions. These differences are directly reflected in your sales. Ignoring them means risking a poor distribution of your marketing efforts.
In Google Analytics, open Audience > Geo > Location. Identify the countries that generate the most revenue, then compare regions with each other compared to the previous year. You will quickly see which territories have accelerated and which have slowed down.
This geographical reading helps you adjust your local campaigns, your delivery offers, and even your stock. A fast-growing region deserves special attention, while a declining area may require a targeted promotion.
Do not forget to cross-reference this data with the periods of lockdown or reopening. Purchasing behavior has often followed the pace of health restrictions. By overlaying these events with your data, you will better understand why some regions reacted differently and you can anticipate future developments.
Identify high-demand products
The crisis has reshuffled the deck in terms of products. Essentials saw their sales skyrocket, while high-value items often lagged behind. To identify these shifts, open Conversions > E-commerce > Product Performance in Google Analytics.
Compare your sales by product and by category year-over-year. You might notice a spectacular increase in an everyday item and a decline in another. Beware of hasty conclusions: a product in decline may have a logical explanation, such as the absence of a sought-after feature.
This product analysis guides your purchasing, your homepage promotion, and your campaigns. It prevents you from betting on items for which demand has collapsed, while helping you ride the waves of growing trends.
To go further, use sales reports by SKU or by variant. This will allow you to detect micro-trends, such as a color or size that suddenly becomes popular. This detailed information enables you to adjust your inventory and offers with surgical precision.
Leverage search queries to detect new expectations
Internal and external search queries are a goldmine for understanding your customers' new expectations. In Google Analytics, internal search data shows you what visitors are looking for on your site, even when they don't find it.
For advertising campaigns, analyze the search terms that trigger your ads. An emerging query can signal an unmet need, and therefore an opportunity for a new product or content. Conversely, a declining query may indicate fading interest.
By cross-referencing this data with your sales, you refine your catalog and your messaging. You thus respond to the real expectations of your audience, rather than to outdated hypotheses.
Set up regular tracking of these queries, for example every month. Search trends change quickly, especially after a crisis. By staying tuned to these signals, you detect new opportunities before your competitors and continuously adapt your content.
Adjust your advertising campaigns with Google Ads data
Paid advertising was hit hard by changes in behavior. To adjust them, open Acquisition > Google Ads > Campaigns in Google Analytics. Compare your current performance to the previous year, in particular the return on ad spend.
Next, analyze ad groups, keywords, and especially search queries. This data reveals which purchase intents have emerged and which have disappeared. Adjust your bids accordingly, without focusing solely on the overall cost per click.
Also consider geographic bidding: if a region is outperforming, increase your bids for that area. If another is falling behind, reduce them or modify your ads to better align with local demand.
Also test new ad variations to meet new expectations. For example, highlight arguments related to safety or fast delivery. Use A/B testing to measure the impact of these changes and progressively optimize your campaigns.
Reorganize your homepage based on trends
Your homepage is your storefront. If it highlights products for which demand has dropped, you are losing sales. Google Analytics data shows you which items deserve a prime spot.
Identify your top-performing products over the recent period, then reorganize your homepage to feature them. Also highlight growing categories, even if they were secondary before the crisis.
This reorganization should not be set in stone. Regularly refer back to your data to adjust your storefront based on trends. A dynamic homepage, driven by numbers, converts better than a static page.
Don’t forget to test different display orders and different images. Click and scroll data show you what is catching attention. By continuously optimizing, you maximize the impact of your homepage on your sales.
Optimize your inventory management with data
Inventory management has become a delicate exercise after the crisis. Shortages of essential products have shown the importance of anticipating. Google Analytics helps you decide what to order, and in what quantity.
By analyzing product performance over a year, you can identify items for which demand is exploding. Focus your purchases on these best-sellers, while reducing orders for products in decline. This reallocation limits unsold stock and maximizes your cash flow.
Do not forget to cross-reference this data with your supplier delivery times. High demand for a slow-replenishing product warrants an advance order, to avoid missing a sales opportunity.
Also use sales forecasts based on past trends to adjust your stock levels. By combining historical data and recent signals, you reduce the risks of overstocking or stockouts, and you improve your overall profitability.
Detect new product opportunities
Search queries and product data are not only useful for adjusting what already exists. They also reveal unmet needs, and therefore opportunities for new products or new variants.
If multiple visitors are searching for an item you do not sell, that is a strong signal. Analyze the frequency of these searches and the associated sales potential. A recurring demand is worth testing, even on a small scale.
This data-driven approach to innovation reduces risks. You are not launching a product on a whim, but based on a need expressed by your own visitors. It is a pragmatic approach, suited to uncertain times.
To validate an idea, you can create a temporary product page and measure interest through clicks and add-to-carts. If the signals are positive, you invest more. This iterative method allows you to innovate without putting your cash flow at risk.
Set up a weekly follow-up routine
The crisis has shown that behaviors can change quickly. Weekly, or even daily, monitoring of your key indicators has become essential. Google Analytics allows you to create customized reports for quick access to the essentials.
Define your priority KPIs: revenue, conversion rate, average basket, performance by channel. Set up alerts to be notified in case of abnormal variations. This allows you to react quickly before a problem worsens.
This monitoring ritual does not replace in-depth analysis, but it gives you constant visibility. You can then seize opportunities at the right time and correct course before it is too late.
To go further, share these reports with your team during weekly meetings. Data transparency fosters collective and rapid decision-making. Everyone can thus contribute to adapting the strategy based on the numbers.
How Qstomy helps you steer your post-Covid strategy
Qstomy supports you in this adaptation process. Our platform allows you to centralize your e-commerce data and automate essential analyses. You save time and make more informed decisions.
With Qstomy, you can track your key indicators in real time, detect emerging trends, and receive personalized recommendations. Our tool integrates easily with Google Analytics and your online store.
Whether you are a small shop or a large retail chain, Qstomy adapts to your needs. We help you transform your data into concrete actions, so you can remain competitive in a constantly changing environment.
Don't wait for trends to pass you by. Contact us to find out how Qstomy can help you guide your post-Covid e-commerce strategy with peace of mind.
To go further
To go further: How to optimize an e-commerce site for Google (step-by-step guide) - Qstomy, E-commerce internal linking strategy for SEO - Qstomy, E-commerce searchandising: optimizing internal search with customer words - Qstomy, E-commerce SEO strategy for category pages - Qstomy, Feedback loop: tracking feedback to optimize your products - Qstomy, Google Analytics for marketing: ads, traffic and performance (GA4) - Qstomy, Training an e-commerce chatbot with Shopify: using the right data without creating wrong answers - Qstomy.
Enzo
September 18, 2026
