What's the issue?
If the online retailer has a particularly large product catalogue, Facebook’s algorithm will optimize for the metrics that Facebook is interested in (such as engagement) rather than those the retailer is interested in. This focus can lead Facebook to continue offering the same products over and over again. In fact, Facebook often displays less than 50% of what’s in the catalogue, and in some cases, as little at 10%.
Marketers need the ability to optimize their campaigns based on what is being promoted, rather than just who it’s being promoted to, and what bids & budgets are set.
What's the fix?
Give marketers the power to convert data into action. ROI Hunter makes it possible for our clients to integrate data from Google Analytics, Facebook, their CRM, or a customer data source, directly into their catalogue. With these integrated insights at the product level, clients can filter their catalogue for top-performing products, and use only those products to fill dynamic ads and Google Smart Shopping ads.
Integrating with ROI Hunter is quick and simple. A marketer can connect their Google Analytics data in just a few clicks, enabling performance metrics from Google to display within our Product Insight Dashboard.
WIth everything integrated and filtered, our clients are able to automatically promote their best-selling products. The data updates daily, ensuring that the products they sell still fit the description of best-selling. No more manual exports of bestsellers from different dashboards every day. With ROI Hunter, optimizing for best sellers is as simple as creating a product set.
How do I make the product selection?
Promote bestsellers
Create a product set of products that have “X” number of transactions, and use it in your dynamic prospecting campaign.
Promote high-value products
Create a product set of your products that have the highest revenue. With this approach, you can be sure that you only promote products worth spending budget on.
What results have other companies had from this?
Large Furniture Retailer in the Middle East: 83% higher return on ad spend (ROAS), 16% lower cost per acquisition (CPA) compared to prospecting ads
International Fashion Retailer: 2.8x increase in ROAS, 45% lower cost per transaction(CPT) compared to previous promotion
Toy and Gaming Retailer 68% lower COS(Cost of sales), 34% lower CPT compared to Business as usual over a 10-day period
Major General Retailer in the Middle East: The top performing segment was the best-sellers from Google Analytics, which resulted in a 15% increase in conversions, 19% lower cost per purchase (CPP), 17% higher average order value (AOV), and 64% higher revenue compared to the control
Fashion Retailer in the Czech Republic: 11% higher ROI, 5% CPA compared to standard dynamic prospecting ads
