Click-through rate

You can also manually review the profiles of people who interact with your content most often.

Our fourth metric is click-through rate or CTR.

CTR is the percentage of people who clicked a link in your post.

It's especially relevant for posts that link to your website, services, or other content.

CTR is most relevant to users who run paid social media ads that include a link, but it is also applicable to organic or unpaid posts.

CTR matters because it reflects how effective your content is at driving traffic where you want it to go.

Some of these clicks may be bottom of the funnel from people ready to engage your services.

You can find your CTR by post in your LinkedIn analytics.

Click-through rate has been climbing even though impressions are dropping.

So then he shares his hypothesis that is Google checks the predicted click-through rate of a given query and serves AIOs preferentially for lower profitability queries in order to preserve revenue.

Thus, CTR climbs partly due to a shrinking denominator, fewer impressions, and partly due to selection slash pruning, higher click propensity.

If true, I'd view this as a bridging strategy.

They'll shift the balance from more either or experiences toward more both and experiences.

Attribution mismatches.

Missing purchase values, CTR, and clicks can look healthy, but the optimization signal is wrong.

No obvious error.

Performance simply drops.

Okay, so he's kind of on the right path there.

The problem is...

He mentioned CTR and clicks can look healthy.

Yeah, that's true.

Another key assumption they tested early on was that users cared more about relevance than novelty.

They observed that a slightly older but higher ranked result trended higher than fresh links data from early tests led to the inclusion of clickthrough signals in ranking subtly nudging algorithms toward sites that historically matched user intent better.

The company's first venture capital infusion came from Andy Bechtolsheim five hundred Startups It validated that investors believed a link based algorithm could scale yet the founders kept the runway narrow funding infrastructure and new features with revenues from early ads to avoid over reliance on external money their early partnership with Microsoft in nineteen ninety nine was a calculated risk By offering Google as an alternative search engine on Windows they gained early traction while staying independent This collaboration also cemented the idea that Googles technology could coexist within existing ecosystems rather than displacing them entirely fast Forward to two thousand four When the company went public the IPO was a signal to the world that search had become a critical backbone of Internet commerce The one point sixseven billion dollar market cap at listing highlighted how investors saw value in googles potential as an advertising network rather than just an information engine As smartphone adoption surged google faced a strategic decision invest heavily in mobile infrastructure or risk losing traffic to emerging search on devices that could run independent engines They chose the former by acquiring Android and investing heavily in mobile hardware support The OSS openness attracted oems making it harder for competitors to lock users into rival platforms Googles acquisition of DeepMind in twenty fifteen added a layer of AI that would eventually enhance search ranking beyond link structure to semantic understanding But that move was not just about tech It also secured a talent pipeline for future aidriven monetization strategies aligning with Pages long term vision In parallel the company expanded ad offerings into YouTube and later Google Ads API allowing third party developers to build tools directly on top of its bidding systems this Openness nurtured an ecosystem of agencies and partners that grew alongside Googles Revenue streams turning ads from a simple ClickThrough model into sophisticated programmatic trading While other firms were scrambling to create similar AdTech stacks Google kept the advantage through early FirstMover dominance in real time auctions and massive data volumes On the competitive front Yahoo's attempt at a unified Search platform fell short Because it lacked the linkbased relevance that Google had perfected Users gravitated instead toward Googles More precise results Even as Bing emerged it replicated many of Googles Algorithms but still struggled to match the breadth and speed Of its index which remained Googles Hidden Competitive edge Throughout this evolution the Founders DNA Shone Through Larry's Obsession with scalability Pushed For Massive Data centers worldwide Sergeys Risk Tolerance Enabled Acquisitions like YouTube Their Strategic Patience Allowed Them to wait For the Mobile Transition Investing in Android Before Rivals Realized It Was A Threat Turning Potential Risk Into a Defensive Moat Meanwhile Their Hiring Culture Prioritized People Who Could Handle Uncertainty Early Google hires Were Drawn From Universities Where They Had Exposure to Graph Theory and Distributed Systems Such Talent Ensured that the Search Infrastructure Could Adapt to Evergrowing Web Graphs While Remaining Responsive for Millions of Queries per Second When regulatory scrutiny increased, Google's transparency reports on ad pricing provided a counter-narrative against monopolistic accusations.

Yet the twenty twenty-four court ruling underscored that power can still attract legal challenges.

The ongoing lawsuit over alleged anti-competitive practices serves as a reminder.

And it's funny because the thing I talked about in the video, and I think why so many people were like, oh my God, this is really useful.

And because most of the videos I saw on the topic before were very much like, And CTR is click-through rate and CPC is this.

And I almost took a bit of a contrarian view on the topic.

And I said, look, most of these metrics don't matter.

And, you know, I did acknowledge in the video that, you know, there are like the website metrics and the ad platform.

So website metrics are going to be things like, you know, your conversion rate, your bounce rate, or GA4 now call it, you know, your engagement rate.

And then you've got the ad platform metrics, like all just platforms in general, social platforms, CTR, CPC, CPMs, hook rates, scroll rate, like all of these different things, right? Which are all valuable.

But it's kind of like downstream, right? And they kind of lead up to, and they all feed into each other.

Oh, well, you want to rema- retain 50% of the budget in case something goes wrong, and something always goes wrong.

Sometimes the ads don't land, which you can see by CTR.

Sometimes the cost per conversion is too high.

You're like, "This is not worth it." Sometimes you get a lot of profile viewers, and you're like, "Oh, this is more worth it." So you wanna retain some budget there.

[笑声] 搜索，搜索引擎，他们这样的付费广告呢，一般都是根据点击率来收费的。

呃，根据点击率。So according to the click-through rate？

嗯，对，click-through rate，点击率。但是呢，这种方法啊，也不一定适合所有的商品，因为这种营销方式比较讲究时效性。

好，等一下，营销方式。

嗯。

嗯，刚刚讲到一个点击率。

So that's the click-through rate。

嗯，没错。

还有一个。