The rate is set by the results page, so compare products with themselves
Shopping ads compete visually. A shopper sees a grid of photos, prices and shop names, and clicks the ones that look like what they meant. That makes the click rate a measure of how your listing looks next to the others for that specific search, which is why a single target figure across a catalogue means nothing.
A product that is the cheapest of eight similar listings will be clicked often. The same product priced in the middle with a better photo may be clicked less and bought more. Neither figure is good or bad on its own.
So the comparison that works is the product against itself over time, and the product against its neighbours in the same product group. When one item in a group is clicked far less than the rest, something about its listing is losing the visual comparison, and that is a fixable problem.
Search type matters as well. Broad category searches produce a lot of impressions and few clicks, because the shopper is still deciding what they want. Specific searches that name a model produce fewer impressions and far more clicks. A change in your rate can be nothing more than a change in the mix of searches you are matching, so check the search terms before deciding the ads got worse.
Watch it alongside impressions. A rate that improves because impressions collapsed is not an improvement.
What actually moves it: image, price position and title words
Four things do most of the work, and only one of them is in the campaign.
The main image. It is the largest element in the listing and it decides the click before the words are read. A clean shot of the product filling the frame on a plain background beats a lifestyle scene where the product is small. Images with text, badges or borders are both a policy risk and a visual disadvantage.
Price position. Not the price itself, but where it sits among the listings on screen. This is worth knowing per product, because a small price change on a product sitting just above a cluster of competitors can change its click rate noticeably, while the same change elsewhere does nothing.
Title words. The first part of the title is what a shopper reads, and it is also what the matching relies on. Brand, product type and the distinguishing attribute in the first words, in the language shoppers use, does more for the rate than anything you can adjust in the campaign.
Extras on the listing. Ratings, sale annotations and shipping information make a listing look more complete. They are earned through data and feeds rather than bidding, which is why feed work usually beats bid work for this metric.
The fifth factor is being on the page at all. Position affects the rate strongly, so a bid change moves it without anything about the listing changing.
A rising click rate is not automatically good news
Clicks cost money. A listing that attracts people who were never going to buy is worse than one that is passed over by them.
The common way to raise the rate and lose money is to broaden titles so products match more searches, or to lead with a low priced variant while the page shows a higher price. Both bring in clicks that bounce. The account looks busier and the cost per order rises.
The honest pairing is click rate with conversion rate and cost per order. Look at all three for the same product group over the same period. A rate that rose while conversion held steady and cost per order fell is a real improvement. A rate that rose while conversion fell means you bought looser traffic.
There is a version of this that is easy to miss. Products with tiny prices attract high click rates and produce orders too small to pay for the clicks. Their numbers flatter the account average while draining the budget that better margin products need.
The reverse case matters too. A low click rate on a high margin product is not always a problem to solve. If the people who do click buy at a good rate, the listing is filtering well. Chasing the rate on that product would mean attracting exactly the shoppers who were right to scroll past.
How to raise it without buying worse traffic
Work on the listing before the bid, and work per product group rather than per campaign.
Start with the products that already get impressions and few clicks. They are being seen and rejected, which is the cheapest possible place to improve, because the demand is already there.
Replace weak main images first. A photo taken against a plain background, product filling most of the frame, no text overlaid. If several products share a poor template image, fixing the template fixes them all.
Rewrite titles so the first words match how people search for that item. Where the product varies by size, capacity, colour or pack quantity, include the attribute that people specify in searches, because that is the difference between matching a browse and matching an intent.
Check price position on the products that matter most. You are not looking for the lowest price, only for whether a small difference moves you past a cluster of competitors.
Then tighten the matching. Negative keywords for searches that describe things you do not sell stop impressions you never wanted, which raises the rate and cuts waste at the same time.
Finally, feed the extras. Accurate shipping information, review ratings where you have them, and any promotion data you are entitled to submit. Each one makes the listing look more complete in a grid of near identical results.
Worked example, not a result
Two products, same click rate, different outcome
- Product A impressions
- 50,000
- Product A clicks
- 1,000
- Product A orders
- 40
- Product B impressions
- 50,000
- Product B clicks
- 1,000
- Product B orders
- 5
- Cost per click, both
- $0.60
- Ad cost per order, A
- $15
- Ad cost per order, B
- $120
Worked example, not a result