Your organic click-through rate is ridiculously important. While it may not be a direct ranking signal that’s even part of Google’s core algorithm, I believe CTR is an indirect signal that definitely impacts rank. And if you improve your click-through rate, you should see your rankings and conversions improve.
Although having a high organic CTR is crucial, having positive website engagement metrics is even more critical. What value is there in getting hundreds or thousands of people to click on your brilliant headlines if those people don’t stick around for more than a few seconds?
If Google values dwell time, is there a way to see it? YES! Today I’ll share some data that shows the relationship between engagement rates (such as bounce rate and time on site) and rankings.
One important note before we get started: Please don’t focus too much on the absolute bounce rate and time on site figures discussed in this article. We are only looking at figures for one particular vertical. The minimum expected engagement will vary by industry and query type.
Yes. We know Google measures dwell time, or how much time a visitor actually spends on a page before returning to the SERPs.
In 2011, Google announced a new option that allowed us to block domains from appearing in our search results. If you clicked on a result and then returned to the SERP from the website within a few seconds, Google’s blocked sites feature would appear. Clicking it would let you block all results from that site.
Google told us they would study the data and considered using it as a ranking signal.
Although that feature is no longer with us, we know it was based on whether (and how quickly) you bounced back. So we know Google is definitely measuring dwell time.
The problem is, we don’t have a way to measure dwell time. However, we can measure three engagement metrics that are proportional to and directionally equivalent to dwell time: bounce rate, time on site, and conversion rate.
OK, let’s get the official Google line out of the way. Google’s Gary Illyes tweeted the following in 2015: “we don’t use analytics/bounce rate in search ranking.” Matt Cutts said similar in the past. Pretty clear, right?
However, I’m not saying that bounce rate is used as a direct ranking factor. And Google definitely doesn’t need Google Analytics to compute dwell time. What I believe is that, in some Rube Goldbergian way, bounce rate does in fact (indirectly) impact rankings.
Does the data back that up? We looked to see if the bounce rate of the pages/keywords we were ranking for had any relationship to their ranking. Check out this graph:
This is very peculiar. Notice the “kink” between positions 4 and 5? In mathematical terms, this is called a “discontinuous function.” What’s happening here?
Well, it seems like for this particular keyword niche, as long as you have a low bounce rate (below 76 percent) then you’re more likely to show up in positions 1 through 4. However, if your bounce rate is higher (above 78 percent), then you’re much less likely to show up in those coveted top 4 positions.
Am I saying bounce rate is part of the core search algorithm Google uses? No.
But I think there’s definitely a relationship between bounce rate and rankings. Looking at that graph, it leads me to believe that it’s no accident — but in fact algorithmic in nature.
My guess is that algorithms use user engagement as a validation method. Think of it more like a “check” on click-through rates within the existing algorithm that hasn’t been quantified.
Undoubtedly, click-through rates can be gamed. For example, I could promise you the digital equivalent of free beer and have a ridiculously high click-through rate.
But if there’s no free beer to be had, most (if not all) of that traffic will bounce right back.
So I believe Google is measuring dwell time (which is proportional to bounce rate) to check whether websites getting high CTRs actually deserve it and if the clicks are indeed valid, or if it’s just click bait.
One other question this discussion obviously raises is: do higher rankings cause higher engagement rates, as opposed to the other way around? Or could both of these be caused by some a completely unrelated factor?
Well, unless you work at Google (and even then!) you may never know all the secrets of Google’s algorithm. There are things we know we don’t know!
Regardless, improving user engagement metrics, like bounce rate, will still have its own benefits. A lower bounce rate is just an indicator of success, not a guarantee of it.
Now let’s look at time on site, another metric we can measure that is proportional to dwell time. This graph also has a “kink” in the curve:
It’s easy to see that if your keyword/content pairs have decent time on site, then you’re more likely to be in top organic positions 1–6. If engagement is weak on average, however, then you’re more likely to be in positions 7 or lower.
Interestingly, you get no additional points after you cross a minimum threshold of time on site. Even if people are spending 2 hours on your site, it doesn’t matter. I think you’ve passed Google’s test — passing it by even more doesn’t result in any additional bonus points.
Larry’s Theory: Google uses dwell time — which we can’t measure, but is proportional to user engagement metrics like bounce rate, time on site, and conversion rates — to validate click-through rates. These metrics help Google figure out whether users ultimately got what they were looking for.
So now let’s talk about conversion rates. We know that higher click-through rates typically translate into higher conversion rates:
If you can get people really excited about clicking on something, that excitement typically carries through to a purchase or sign-up.
So what we need is an Engagement Rate Unicorn/Donkey Detector, to detect high and low engagement rates.
Before we go any further, we need to know: what is a good conversion rate?
On average across all industries, site-wide conversion rate for a website is around 2 percent (the donkeys), while conversion rates for the top 10 percent of websites (the unicorns) get 11 percent and above. While absolute conversion rates vary wildly by industry, unicorns always outperform donkeys by 3–5x regardless of industry.
Remember, conversion rates are a very important success metric because you get the most value (you actually captured leads, sold your product, got people to sign up for your newsletter, or visitors did whatever else it was you wanted them to do), which means the user found what they were looking for.
The way you don’t get there is by making little changes. The difference between donkeys and unicorns is so huge. If you want to increase your conversion rates by 3x to 5x, then small, incremental changes of 2 or 3 percent usually won’t cut it.
What should you do?
Rather than A/B testing button color or image changes, you might be better off trashing your current offer and doing a new one.
Ask yourself: Why in the world are 98 percent of the people who see your offer not taking you up on it? Well, it’s probably because your offer sucks.
What can you offer that will resonate enough that +10 percent of people would be excited about signing up for it or buying it on the spot?
Be open-minded. The answer is probably something adjacent to what you’re currently doing.
For example, for my own company, five years ago our primary offer was to sign up for a trial of our software. It was somewhat complicated, people had to learn how to use the software, and not everyone made it through the process.
Then I had an epiphany: Why don’t I just grade people’s accounts without having them do a trial of our PPC management software, and just give them a report card? That increased my conversion and engagement rates by 10x, and the gains persisted over time. There is much more leverage in changing the offer versus, say, the image on an existing offer.
You can influence users even before they do searches. Brand awareness creates a bias in people’s minds which has a ridiculously huge impact on user engagement signals. We can do this with Facebook Ads.
You want to promote inspirational, compelling, memorable content to your target market. Although they’ll consume your content, they won’t convert to leads and sales right away. Remember, love takes time.
Rather, your goal is to bias them so in the future they’ll do a search for your product. If it’s an unbranded search, having been exposed to your marketing materials in the past, they’ll be more likely to click on and choose you now.
Facebook and many other vendors have conducted lift studies that prove that Facebook ads impact clicks and conversions you’ll get from paid and organic search.
You won’t get away with promoting junk. You have to promote your unicorns.
For this, we’ll use Facebook’s:
For example, let’s say you’re a florist or jeweler. You can target Facebook ads at people who will celebrate an anniversary within the next 30 days.
Why would you want to do this? Because you know these people will be searching for keywords relating to flowers and jewelry soon. That’s how you can start biasing them to get them to have happy thoughts about your business, increasing the likelihood that they’ll click on you, but more importantly, convert.
It’s not just Facebook. You can also buy image display ads on Google’s Display Network. You can use Custom Affinity Audiences to target people who have searched on keywords you’re interested in, but didn’t click through to your site (or you can specify certain categories related to your business).
People are busy and have short attention spans. If you aren’t using remarketing, essentially you’re investing a ton of time and money into your SEO and marketing efforts just to get people to visit one time. That’s crazy.
You want to make sure the people who gave you a look to see what your site was about never forget you so that subsequent searches always go your way. You want them to stay engaged and convert.
Remarketing greatly impacts engagement metrics like dwell time, conversion rate, and time on site because people are more familiar with you, which means they’re more likely to be engaged with you for longer.
There’s a reason we spent nearly a million dollars on remarketing last year. Investing in remarketing:
These are huge numbers for a minimal investment (display ads average around $10 for 1,000 views).
It’s your job to convert or squeeze as much money as you can from people who are already in the market for what you sell. So use remarketing to increase brand familiarity and increase user engagement metrics, while simultaneously turning the people who bounced off your site in the past into leads now.
If you’ve tried all of the above (and other ways to improve engagement rates) and still have bad neighborhoods on your websites that have low CTR and/or user engagement rates — just delete them. Why?
I believe that terrible engagement metrics will lead to a death spiral where your site gets less clicks, less leads, less sales, and even lower rankings. And who wants that?
Now, I don’t have any proof of this, but the software engineer in me suspects that it would be very difficult for Google to compute engagement rates for every keyword/page combination on the Internet. They would need to lean on a “domain-level engagement score” to fall back on in the event that more granular data wasn’t available. Google does something conceptually similar in AdWords by having both account-level and keyword-level Quality Scores. It’s also similar to how many believe that Google considers links pointing to your domain and also individual pages on your site when computing organic rankings (a moment of silence for our beloved Google PageRank Toolbar). Dumping your very worst neighborhoods — only if all attempts to resuscitate have failed miserably — would, in theory, raise a domain-level score, if it existed.
Obviously better CTRs, higher engagement rates, and improved conversion rates lead to more leads and sales. But I also believe that improvement in these metrics will lead to better organic search rankings, creating a virtuous cycle of even more clicks and conversions.
It’s becoming increasingly clear that organic CTR matters. But you might not realize that high CTRs with low engagement rates aren’t that meaningful.
So no cheap tricks, guys! Don’t invest in sites that specialize in gaming your click-through rates. Even though they might work now to an extent, they won’t work well in the future. Google is good at fighting click fraud on ad networks, so you can expect them to apply those same learnings to fight organic search click fraud.
I would prioritize click-through rate and conversion rate (or engagement) optimization at the very top of the most impactful on-page-SEO efforts.
At the very least you’ll get more conversions. But if I’m right, you’ll not only get more conversions, but you’ll get better rankings, which will lead to more conversions and even better rankings.
So use the tactics and strategies from this post to diagnose your engagement rates, and then start optimizing them!