Hop Designer
Ryan Jansen
Category
Marketing
This is a report on the campaign performance of your Google Ads within the specified time period. It shows you all the key performance metrics of your ads at a glance.
Integration(s)
How to use this Hop.
Simply create an Airboxr account and connect your Shopify store to automatically run this export/analysis for your store. If you already have an account, click on the Add to my Collection button above.
Identifying High-Performing Campaigns: E-commerce stores can use the report to identify campaigns that consistently deliver high-value conversions at an efficient cost. By recognizing and leveraging high-performing campaigns, businesses can allocate resources strategically to maximize returns and scale successful initiatives.
Campaign Optimization Strategies: With information on CPC, CTR, and conversion metrics, users can implement targeted optimization strategies. This may involve refining ad creatives, adjusting bidding strategies, or revisiting keyword targeting to enhance the overall effectiveness of Google Ads campaigns.
View-Through Conversions: View-through conversions represent instances where users saw, but did not interact with an ad, yet later completed a conversion. This metric provides insights into the influence of display ads on user behavior. Users can assess the impact of visual impressions on subsequent conversions.
Strategic Budget Allocation: The insights provided by the report empower the strategic allocation of budgets across campaigns. By analyzing the performance metrics of each campaign, businesses can prioritize budget allocation to campaigns that demonstrate strong conversion rates, maximizing the overall impact of their advertising spend.
In This Report
Metrics
Clicks
Impressions
Click Through Rate (CTR)
Average CPC
Cost
Conversions
Conversion Value
View Through Conversions
Cost Per Conversion
Conversion Rate
Grouped By
Campaign
Campaign State
Campaign Type
Connect your Shopify store and automate this report. You will never have to manually work with data again.