Demand is growing, but your ad budget is not keeping up
Detect products with growing order volumes using store data. Move them into an updating segment and provide the budget needed to capitalize on the sales trend.
Growing product potential
- Feed label
- cl_trending
- Required data
- Google Analytics 4Google Ads
- Type
- Products
Why does it matter?
- A limited window to capture demand
A delayed advertising response limits sales opportunities during periods of growing interest.
- Competition for a shared budget
Trending products in a general campaign must share funding with the rest of the catalog.
- Static product selection
A manually maintained list cannot keep pace with products gaining or losing momentum.
Frameworks #3: Automatically identifying products with growing sales
How to diagnose the problem?
An active store-platform integration and access to app_orders / APP_ORDERS_PL order data are required.
- 1
In Data Octopus, open Views → [store platform] and find the Orders column.
- 2
In change %, choose greater than or equal and enter 30 or another threshold representing meaningful growth.
- 3
Click Apply and review products with growing order volumes in the selected period, such as the last 30 days.
- 4
If the segment includes at least several dozen products, consider a dedicated campaign.
Action strategy
- ASend the segment to your feed
Save products meeting the growth conditions in a custom label. Daily data refreshes update segment membership.
- BLaunch a separate campaign
Target a Google Ads campaign exclusively to this label and exclude it from other active campaigns.
- CScale when ROAS supports it
Check budget utilization every 1–2 days. Increase funding if the campaign exhausts its budget while maintaining satisfactory ROAS.
What to measure?
- Traffic
Check for growth in clicks and impressions for products in the trending label.
- Revenue
Assess whether increased exposure translates into higher segment revenue.
- Transactions
Monitor transaction counts and sales volume in the label-based campaign.
Detect growth using purchase data, keep the segment updated, and give it a dedicated budget. Review campaign results weekly to reduce the influence of daily fluctuations.
More frameworks
Frequently asked questions
Does detecting trending products require a store integration?
Yes, this framework uses actual purchase data from your store platform. Before configuring it in Data Octopus, verify that the connection is active and the order source is available.
Is 30% order growth a mandatory threshold?
No, it is an example threshold for identifying clear growth. In Data Octopus, you can adjust the filter to your sales dynamics and selected analysis period.
Do I need to add new products to the campaign manually every day?
No, provided the campaign uses a label based on an updating segment. Daily data refreshes in Data Octopus add products that meet the conditions and remove those that no longer qualify.
How often should I review trending-product campaign results?
Check the budget every 1–2 days, but also assess sales results weekly. In the Data Octopus framework, these schedules serve different purposes: responding quickly and reducing the influence of daily fluctuations.
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