EQVVS was hoping to improve their ROAS (return on ad spend) performance for their GSS (Google Smart Shopping) campaigns by using product-level data to create separate product sets.
However, EQVVS was lacking the insight into the product-level data needed to dynamically filter their feed into separate product sets. Additionally, Google Smart Shopping campaigns do not permit retailers to create different product sets, so they needed ROI Hunter’s help to create them.
For the new campaign, ROI Hunter set EQVVS up with Product Insights, a tool which gathers product-level data from across multiple channels (Google Shopping, Google Analytics, Google Merchant Center, Facebook, etc.) and merges it, along with their catalog, into the ROI Hunter PMP (Product Marketing Platform).
With product performance data from Google Analytics, EQVVS was able to filter their catalog to find items in their top 25% of revenue in the previous 30 days, which they added to a new bestsellers product set.
Once the bestsellers product set was in place, ROI Hunter removed these items from all of EQVVS’s other campaigns to avoid competing against themselves.
By running a GSS campaign on just the bestsellers, EQVVS was able to ensure Google’s algorithm only promoted top revenue generating items, rather than picking from across the full catalog.
With the help of ROI Hunter, EQVVS’s new Google Smart Shopping campaign produced some astounding results. Their best-selling product set led to a 20% increase in ROAS (return on ad spend) in just two months. EQVVS also achieved a 32% decrease in CPC (cost per conversion) and a 16% drop in CPM (cost per mille) compared to their previous campaigns!