How to revive overlooked ecommerce SKUs with Performance Max

With ample ecommerce catalogs, it’s communal for products to autumn done the cracks. It’s not because they’re bad products aliases retired of stock. They simply extremity getting the visibility they request to perform.

As Google’s algorithms optimize toward products pinch the strongest humanities performance, lower-volume SKUs tin slow suffer belief share. Less postulation leads to little conversion data, which compounds the issue. Before long, those products are stuck successful what I telephone SKU purgatory.

Instead of letting those products cod dust, my squad built a process to bring them backmost to life, leveraging Performance Max to thief pinch immoderate of the dense lifting. Let’s look astatine what it takes to resurrect zombie SKUs, really to instrumentality the campaign, and why it useful truthful good astatine scale.

Meet the zombie campaign

Zombie SKUs aren’t a caller concept, and thankfully, it’s rather elemental to understand why this happens and do thing proactive to hole it.

My run of prime is typically Performance Max (PMax) because this is precisely wherever Google’s automation tin beryllium utilized to our advantage. PMax tin find further pockets of opportunity and request that Standard Shopping whitethorn not beryllium uncovering. Sometimes that’s each a neglected SKU needs.

When a SKU falls beneath definite capacity thresholds, alternatively than leaving it wrong its existing Standard Shopping campaign, wherever it continues to person small to nary traffic, we automatically move it into a dedicated zombie SKU Performance Max campaign.

The extremity isn’t to unit walk connected poor-performing products. It’s to springiness overlooked products different opportunity to compete.

Once those products statesman generating impressions, clicks, and moreover conversion information again, Google’s knowing of them improves. If they beryllium themselves, they gain their measurement backmost into their original campaigns.

How to automate a zombie SKU campaign

Before I started utilizing PMax, I usually recovered zombie campaigns were much problem than they were worthy because of the time-consuming manual activity required to move SKUs successful and retired of the campaign.

The cardinal was to region the manual work.

With thief from our awesome information team, we built civilization logic successful BigQuery that continuously identifies what qualifies arsenic a “zombie SKU.” The nonstop thresholds are customized for each business, but the extremity is the same: place products that person efficaciously stopped receiving meaningful opportunity.

Here’s really the process works:

• BigQuery evaluates each SKU utilizing our civilization logic.
• Eligible zombie SKUs are exported to a Google Sheet.
• Feedonomics (our provender guidance tool) sounds that expanse and automatically applies a civilization explanation of “zombie SKU.”
• Google Ads uses that civilization explanation to see those products successful a dedicated Performance Max campaign.
• Those aforesaid SKUs are excluded from their original Standard Shopping campaigns to debar overlap.
• Once a SKU nary longer meets the zombie criteria, the civilization explanation is automatically removed, and the merchandise returns to its original campaign.

The full process runs automatically pinch very small manual work.

Dig deeper: Ecommerce PPC: 4 takeaways that style really campaigns perform

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Breaking the capacity feedback loop

One of the biggest challenges pinch ample merchandise catalogs is that Google’s instrumentality learning people gravitates toward products that already person beardown capacity signals.

That’s awesome for efficiency, but it tin besides create a feedback loop wherever the “rich get richer.” Top-performing SKUs proceed to person traffic, while products pinch small humanities information struggle to summation momentum.

A zombie run useful because it interrupts that cycle.

Rather than permanently penning disconnected those products, it provides those SKUs pinch a dedicated situation wherever they tin make further capacity signals. Performance Max tin thief respire life backmost into these SKUs done its reach.

Not each SKU comes “back to life,” and that’s OK. Some products genuinely don’t person the demand, but we’ve recovered plentifulness that simply needed different chance to cod impressions, clicks, and conversion information earlier becoming competitory again.

The floor plan beneath highlights the early results from a zombie SKU run I’m testing for a client.

Period	SKUs	Clicks	Impressions	Cost	Conversions	Conversion Value	ROAS
Pre-zombie run launch	13,829	0	0	$0.00	0	$0.00	0.00%
Post-zombie run launch	13,829	1,617	198,774	$5,072.17	24.42	$5,161.70	101.77%

In conscionable 2 weeks, much than 13,800 antecedently overlooked SKUs began generating impressions, clicks, and moreover conversion information aft receiving small to nary opportunity beforehand. Rather than allowing these products to stay stagnant, the run gives them a chance to build the capacity signals Google’s algorithms trust connected erstwhile determining early serving opportunities.

It’s besides important to position these results done the lens of the campaign’s objective. Unlike our halfway Shopping campaigns, the superior extremity of the zombie run isn’t to maximize return connected advertisement walk (ROAS) aliases thrust important income volume. Instead, it’s to make capable impression, click, and conversion information for underperforming SKUs to postgraduate backmost into our Standard Shopping campaigns.

Once a merchandise nary longer meets our zombie criteria, it’s automatically removed from the run and returned to its original Shopping campaign, making room for the adjacent group of overlooked products.

The adjacent measurement is measuring whether the further impression, click, and conversion history improves wide capacity aft the SKUs are reintroduced into their original Standard Shopping campaigns. 

Automation makes it scalable

The biggest advantage isn’t the Performance Max run itself. It’s the automation.

Without BigQuery, Feedonomics, and civilization labels, maintaining thousands of products would require changeless manual review. Instead, products travel betwixt campaigns based connected their performance, pinch successful SKUs returning to the campaigns wherever they belong.

For ample ecommerce catalogs, it’s an businesslike measurement to make judge promising products don’t softly vanish simply because Google’s algorithms stopped prioritizing them.

Dig deeper: Performance Max reporting for ecommerce: What Google is and isn’t showing you

Give overlooked products different chance

Giving overlooked products an opportunity to build capacity history is much valuable than letting them beryllium pinch small to nary visibility.

Early results from our client’s run show that this attack tin make impressions, clicks, and conversion information for products that weren’t antecedently serving. 

The adjacent shape is measuring the effect connected our Standard Shopping campaigns arsenic those SKUs postgraduate backmost into the original run structure.