Set up an adaptive shopping campaign
Introduction to adaptive shopping campaigns
When you subdivide your inventory feed into product groups, you'll achieve the best results when you create focused product groups that contain products with similar performance. If your groups aren't focused enough, you may have products with wildly different ROAS or conversion rates in the same group, leading to situations where bids are too low for high-performance products, and too high for low-performance products.
However, manually monitoring the performance of individual product groups and deciding which product groups need further subdivision can be time consuming, especially for large inventories.
Automatically subdivide to achieve a performance goal
DoubleClick Search (DS) can monitor your Merchant Center feed and automatically subdivide product groups by the product ID attribute using criteria that you define in a conversion goal or DoubleClick Search bid strategy. The goal specifies the Floodlight activities or Google Analytics goals that are relevant to your shopping campaign, and instructs DS to create new groups using one of the following criteria:
- Create new groups for products that generate similar amounts of revenue
(along with a similar number of clicks and conversion rate)
- Create new groups for products that generate a similar number of conversions
(along with a similar number of clicks)
For example, DS could subdivide a product group that contains all cameras into the following new groups:
- A group for Camera A (product ID/SKU = "abc123"), which generates $90 of revenue per click
- A group for Camera B (product ID/SKU = "def456"), which generates $0 of revenue per click
- A group for all other cameras, which average $45 of revenue per click
This separation ensures that you can bid higher on Camera A to earn more revenue and bid less on Camera B to save budget.
Ready to get started?
You can also learn more about adaptive shopping campaigns.