Yes, you can. Use distinct conversion IDs and labels for each store to avoid data overlap. You’ll need to set up separate tags in Google Tag Manager for each store and test the firing to ensure data accuracy. Or you can go with CustomerLabs to track multiple stores using Cross-domain tracking and then use multiple destinations to send the Google Ads accounts.

For dynamic remarketing, conversion tracking pulls product-specific data (like SKU, price, and product ID) into the data layer. This information feeds Google Ads, allowing it to display personalized ads featuring the exact products customers browsed but didn’t purchase.

Yes, unless you implement conversion adjustments in Google Ads. You can configure return events in your data layer and send them to Google to reverse conversions, ensuring your tracking reflects only completed and non-returned sales. Else, to make the process easy, and in real-time, use 1PD Ops tool like CustomerLabs. This helps you adjust the conversions in Google Ads.

When implemented correctly, Google Tag Manager has minimal impact on site performance. To optimize speed, avoid redundant tags, load essential scripts asynchronously, and monitor the tag firing sequence through the GTM debug console. To reduce the impact of multiple tags, you can implement CustomerLabs' single tag through 1P domain tracking.

Enhanced conversions improve event match rates, especially as cookie-based tracking diminishes. You can monitor performance by comparing your pre- and post-enhanced conversion metrics in Google Ads, such as click-through conversions and match rate percentages in event diagnostics.