While excluding underperforming products helps optimize your ad spends, it’s equally important to bring back products that have started performing again. BigAtom’s dynamic inclusion logic ensures your catalog doesn’t permanently lose products that were temporarily down but are now regaining traction.
What This Solves
How to bring back excluded products that start performing again
How to re-activate seasonal products
How to avoid permanent loss of potential winners
How to automate product inclusion based on GA4, purchases, or revenue trends
Why Inclusion Rules Matter
Product performance can fluctuate due to seasonality, pricing changes, or inventory shifts. A product excluded during an off-season may perform well again when conditions change. Without inclusion rules, these products remain excluded — potentially causing missed revenue opportunities.
BigAtom allows you to set automated inclusion rules that evaluate performance signals and bring products back to the catalog — without manual effort.
1. Include Products Based on GA4 / Analytics Metrics
Use this approach if:
You want to detect early signals of improvement in product performance through your analytics data.
Why it works:
When a product begins to pick up again, you’ll often see early signs in user engagement and conversions — even before the product starts getting paid traffic again.
Recommended logic:
Use Conversion Rate (CVR) or Sessions-to-Purchase Ratio as a leading indicator.
Conversion Rate > 90% of account average
Pageviews ≥ benchmark threshold (calculated to support a minimum number of purchases — for example, 5 purchases, which can be adjusted based on your brand’s average order volume among top-performing products)
AND product has 0 spends
This indicates the product is showing promise and can be added back to the catalog.
Example:
If your account’s average conversion rate is 1%, then:
90% of that = 0.9%
To drive at least 5 purchases, the product should have: (5/0.009 = 555.55 pageviews)
Inclusion Rule Can Be:
If conversion rate > 0.9%
AND pageviews ≥ 556
AND spends = ₹0
Important note:
Make sure GA4 (or your analytics platform) is properly configured. If there are tracking issues, products with poor backend performance may get added back by mistake.
2. Include Products Based on Website Revenue
Use this approach if:
You want to reintroduce products that are organically driving revenue but are currently excluded from ads.
Why it works:
Some products may start generating backend revenue through SEO, repeat visits, or seasonal demand — even without recent ad spends.
Recommended logic:
Product is among the top 70% of revenue drivers in a 14–30 day window
AND ad spends = ₹0
This helps bring back products that are gaining momentum again.
Alternate logic:
Include products that cross a minimum revenue threshold (e.g., ₹1,000 in last 14 days) even if there’s no current spend — indicating organic performance or external triggers.
3. Include Products Based on Purchase Volume
Use this approach if:
You want to track inclusion based on actual order volume rather than revenue alone.
Why it works:
A product may have low AOV but consistent purchase count — indicating strong product-market fit. This makes it a strong candidate for reactivation.
Recommended logic:
Product has purchases equal to or above the average of top 70% performers
AND currently not receiving spends
Example:
If the average order count of top 70% performers is 5 purchases in the last 14 days, use that as your benchmark to trigger re-inclusion.
Common Practices to Follow
Use a Longer Data Window
Set inclusion conditions over 14 or 30 days to get stable trends. Avoid short-term spikes, which may result in false positives.
Run Inclusion Checks Daily
Schedule your inclusion rule to run on a daily frequency, just like your exclusion logic. This ensures promising products are reactivated promptly.
Combine Multiple Metrics for Accuracy
Use a combination of conversion rate + revenue or purchase count + zero spends to improve inclusion accuracy and avoid reactivating poor performers too early.