Is there a long tail in PLAs? Does it pay off for retailers to advertise all of their products in their Google product listing ad (PLA) campaigns? Or should they stay focused on top sellers and high margin items?
Sitting on a trove of data from large scale Google Shopping campaigns, a team at PLA management platform Adchemy decided to dig in to see if advertisers really do benefit from a long tail effect — small volume conversions across a large number of products — when they advertise their entire catalogs in PLAs.
What they found: SKUs with just one conversion in Q4 2013 accounted for 21 percent of PLA revenue.
Scott Jewett, who runs the retail consulting and content marketing efforts for Adchemy, presented the findings today at eTail West.
The team looked at Q4 2013 data across a sample set of customers that accounted for $6 million in spend and 1.6 million SKUs. All of the advertisers in the study advertise their entire product catalogs and use a one SKU per product target and one product target per ad group campaign structure for PLAs.
Not only did over one-fifth of all revenue come from one-time converters, the return on ad spend (ROAS) for those products was over 40 percent higher than the products that converted multiple times. Long tail SKUs also accounted for 24 percent of gross margin.
Mitigating The Risk Of Non-Converters? Are They The Real Long Tail?
Advertising an entire product catalog presents the risk of wasting a sizable amount of money on products that will never convert, or at least not at a reasonable cost-per-sale. In fact, in their research, Adchemy found that while 28,500 products had a single conversion, a whopping 470,000 (nearly half a million!) products didn’t convert at all. So it begs the question of when to cut off the tail.
Interestingly, Adchemy found that products with no conversions during the fourth quarter received just 3.3 clicks on average. In contrast, products with one conversion received 23.6 clicks.
I asked Jewett about this finding. He said they are going to do more research, but that it looks like click velocity — the time lapse between clicks — seems to be a good predictor of whether a product will convert in a PLA campaign. For example, if one product receives two clicks in two days, it seems likely that product will have a reasonable chance of converting compared to a product that receives two clicks spread out over a month, which might be a candidate for deactivation.
Jewett notes a complicating factor is that bids can impact click velocity, and low velocity may just signal that a bid is too low. If a bid increase doesn’t garner more clicks quickly, though, it may be a dud.
Advertisers often focus on their top sellers and margin producers in PLAs to avoid this kind of waste from non-converting products. Yet, in doing so, Adchemy’s research shows advertisers are limiting the revenue potential from one-off conversions that come with advertising their full catalogs.
Adchemy is continuing their analysis into click velocity, and it could have big implications if, with the right controls in place, advertisers — whether managing 100 or millions of SKUs — may be able to have their cake and eat it, too.
- SKUs with one conversion in Q4 2013 had a ROAS of 7.3 percent
- SKUS with more than one conversion in Q4 2013 had a ROAS of 4.1 percent
- 24 percent of PLA gross margin is attributed to SKUs with one conversion in the quarter
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