Please note this is an older article. We advise you to check out the 2022 version here.
Winning brands can all agree on one thing; Amazon is becoming increasingly pay-to-play. To get to the top of your category, you need to be bold with Amazon PPC advertising. There are no shortcuts to market share domination.
But do you sometimes worry that you’re paying too much to play? Or maybe you’re actually underspending on Amazon PPC, and this is limiting your return?
In today’s article, Bobsled’s Director of Marketplace Strategy & Insights Stefan Jordev has outlined some ways in which brands can ‘kick the tires’ in respect to their Amazon PPC spend. Each brand will obviously have a unique set of criteria that informs how much they want to invest. But there are common pitfalls Stefan has identified after analyzing hundreds of accounts.
Read on to learn more!
Every brand will see peaks and valleys when it comes to Amazon revenue over a calendar year. Most sellers will see the vast majority of sales occur in Q4. Brands with summer orientated products may see stronger sales during the warmer months.
Take a look at how your PPC spend was divided over the year. Total ad spend should roughly correlate with total revenue. For example, if you generated 50% of your total Amazon revenue in Q4, this should translate to approximately 50% of your total ad spend taking place in Q4. There are sometimes obvious reasons why revenue and ad spend doesn’t correlate perfectly (e.g. stock outs, launching lots of new products etc), but generally speaking, it’s a good rule of thumb.
If your PPC spend doesn’t move in line with seasonal revenue trends, there’s a good chance your campaigns are on autopilot. This means you could be spending too much during quiet periods, and not enough to capitalize on increased traffic during peak seasons.
Bobsled works directly with the Amazon Advertising team on behalf of our clients in order to benchmark anticipated PPC performance for each product category. Our ad tech partner Pacvue also provides us with valuable category performance data in relation to traffic volume and standard CPCs.
This category specific data is invaluable for determining how to allocate your Amazon PPC budget.
“Without category benchmarking you are spending within a vacuum,” explains Stefan. “We have a wealth of client ad data so we know straight away when spend levels are off, but individual brands don’t have this luxury, and need to seek out category insights. Once you have established what ‘normal’ looks like for your category, you can work backwards to see how your spend and ROI stacks up versus the competition.”
At Bobsled we find top performing advertising accounts typically have the following ad type ratio:
*Bobsled anticipates more budget gradually going across to Sponsored Display in the near future due to the extra features now available with this ad type.
If your ad type ratio is remarkably different to the above 75/20/5 split, there’s a good chance your strategy has major inefficiencies.
We find top performing Sponsored Products campaigns typically have the following auto vs manual ratio, approximately speaking:
If your auto vs manual ratio looks remarkably different to the above 25/75 split, there’s a good chance your strategy has major inefficiencies.
A Share of Shelf analysis highlights which brands and products can be found on page one for particular keywords. Such reporting looks at which brands are occupying both paid and organic placements.
Above: Sample of an Amazon Share of Shelf analysis for the search term ‘almond butter’
Brands should determine which search terms are most critical for market share domination over the long term, and run regular Share of Shelf reports to see how their products are performing versus direct competitors. If a brand is underperforming from an organic perspective across these critical search terms, they may need to increase their PPC spend so they can effectively compete.
Above: For this account, there’s enough data to suggest ‘Fixed’ and ‘Dynamic - Up & Down’ bid types need bidding strategy updates
“The next is to use all of the above data points to map out a 90 day optimization strategy,” says Stefan. “At Bobsled we analyze current performance and make concrete predictions about how we can improve Click Through Rate, Cost Per Click and ACoS. Rather than ongoing tinkering without a plan, this gives us a tangible goal to work towards.”