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How Much Can You Trust Recommendations In Google Ads?

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How Much Can You Trust Recommendations In Google Ads?

You can barely go a minute in Google Ads without seeing recommendations put in front of you.

The overview screen surfaces them in a highly visible box.

The notification bell turns red, alerting you to the fact that you have several recommendations waiting.

Suggested budget increases appear right next to the graph at the top of the Campaigns section.

You can click a button to apply the updated amount and instantly spend more.

Screenshot from Google Ads, January 2022

So, how helpful are these recommendations that Google puts front and center for advertisers?

Let’s take a deeper dive into the types of recommendations and how well they correlate with the metrics that matter for performance.

Recommendations Overview

First, what are Google’s claims regarding the value of recommendations? The official support page says:

“Recommendations can introduce you to new, relevant features, help you get more out of your budget by improving your bidding, keywords, and ads, and can work to increase the overall performance and efficiency of your campaigns.”

If you work with an official Google representative, they’ll spend a significant amount of time talking about optimization scores.

This score measures how well your account is following best practices for setup, in Google’s eyes.

Overall, recommendations correlate directly to optimization score, and Google provides you with an exact percentage that the score will increase for each recommendation you accept.

Types Of Google Ads Recommendations

While the specific recommendations that surfaced vary depending on the account and types of campaigns being run, there are several common types of recommendations that tend to surface.

Let’s consider a few common ones here.

1. Budget

When a campaign is limited by budget, Google will often suggest increasing the daily budget cap to ensure that ads are showing throughout the day.

The dangerous aspect of this suggestion is that with one click you can boost your budget significantly.

For instance, one of the accounts is suggesting that you raise a $75/day campaign budget to $690/day.

That would result in an increase from a $2,250 monthly spend to a $20,700 monthly spend for that single campaign.

Whether managing accounts for clients or for their own businesses, most PPC managers have some level of budget constraints to work within and are not free to apply drastic budget increases without approval from higher up.

Budget increase recommendations can be helpful to surface the fact that a campaign is being limited in reach.

It can help make the case for adding budget incrementally (if performance is good). But instant, exponential budget boosts are less likely to be the ideal route for most accounts.

2. Conflicting Negative Keywords

This recommendation is one that I generally find useful.

If you’ve accidentally added any negative keywords that would prevent current keywords from showing up, Google will warn you and allow you to remove the conflicting negatives with one click.

In addition, this can also be helpful to flag keywords that you didn’t intend to be active if you wanted to keep certain words excluded but forgot to pause keywords that contained those words.

You should still take the time to double-check through the list of conflicts before auto-applying.

3. New Keywords

Google will periodically surface ideas for new keywords to add to your campaigns.

You should always review these lists carefully as opposed to mindlessly adding them with a single click.

I’ve found that keyword ideas can range from a handful of relevant queries to extremely broad and unrelated keyword themes.

For example, a Google Ads campaign promoting accounting services is seeing phrases like “how to find employer identification number” recommended to bid on.

4. Adding Extensions

Google will frequently suggest adding extensions that are not in place for an account.

Some extensions generally make sense to apply across the board, such as sitelinks and callouts.

However, not all extensions may be relevant to every company.

For instance, a SaaS product would likely prefer to send people through a signup process on a landing page as opposed to paying for a click to a phone call.

Even if you can’t necessarily immediately think of a way to incorporate a certain ad extension, be creative about potential options to help increase your ad visibility.

For example, a plumbing company might not immediately come to mind as an application for image extensions, but incorporating an image of a vehicle or even a photo of a person at work can help to visually draw attention to a search ad.

5. Add Audience Segments

These recommendations are another area that I do find useful at times, as the data tends to be based on actual audiences who are currently engaging with ads and visiting your website.

However, you should still take the time to review carefully through the options before applying everything, as not all audiences may be relevant to your brand.

6. Include Search Partners

Search Partners performance can be hit or miss depending on the account, and sometimes even if CPAs are efficient, lead quality can be lower.

If you’ve excluded Search Partners based on lead-related or budgetary reasons, you can just dismiss this recommendation.

7. Improve Responsive Search Ads

This suggestion will surface, either recommending adding more headlines/descriptions or tailoring copy more closely to keywords.

This area is also a complex one, as the ad strength metric for RSAs doesn’t necessarily correlate to good conversion performance.

However, a study from Optmyzr showed that ad strength can correlate to capturing more available impressions, so considering these recommendations can be helpful to improve overall reach.

Thoughts On Recommendations

Let’s come back to the question at hand in the title of the article.

How much can you trust recommendations in Google Ads?

First of all, recommendations are clearly tied to Google’s view of best practices, which may not correlate with the approach that will actually result in your account’s end goal.

For instance, a business’s ultimate goal for Google Ads may be to deliver qualified leads that turn into sales, to sell ecommerce products through their website, or to get users to purchase an app.

A recommendation that increases conversion volume but simply leads to lower quality leads may not be beneficial.

Rolling out recommendations for bid strategy adjustments may be best tested in experiment campaigns as opposed to immediately switching up the strategy.

For instance, you can allocate 50% of traffic to a version of a campaign using Target CPA bidding, while keeping 50% going to the original Manual CPC campaign.

Next, some recommendations may be more or less relevant for you depending on your business.

Think through the implications of applying each one and how likely it is to help or hurt your account.

When you’re already limited by budget with exact and phrase match keywords, adding broad match keywords likely won’t help, but if you have budget to play with, you may find broad match helpful for discovering new queries.

In short, Google’s recommendations can provide some helpful guidance and shouldn’t be entirely dismissed without review.

But don’t rely on them as an end-all tool for optimizing your account.

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Google’s Web Crawler Fakes Being “Idle” To Render JavaScript

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Google's Web Crawler Fakes Being "Idle" To Render JavaScript

In a recent episode of the Search Off The Record podcast, it was revealed that Google’s rendering system now pretends to be “idle” to trigger certain JavaScript events and improve webpage rendering.

The podcast features Zoe Clifford from Google’s rendering team, who discussed how the company’s web crawlers deal with JavaScript-based sites.

This revelation is insightful for web developers who use such methods to defer content loading.

Google’s “Idle” Trick

Googlebot simulates “idle” states during rendering, which triggers JavaScript events like requestIdleCallback.

Developers use this function to defer loading less critical content until the browser is free from other tasks.

Before this change, Google’s rendering process was so efficient that the browser was always active, causing some websites to fail to load important content.

Clifford explained:

“There was a certain popular video website which I won’t name…which deferred loading any of the page contents until after requestIdleCallback was fired.”

Since the browser was never idle, this event wouldn’t fire, preventing much of the page from loading properly.

Faking Idle Time To Improve Rendering

Google implemented a system where the browser pretends to be idle periodically, even when it’s busy rendering pages.

This tweak ensures that idle callbacks are triggered correctly, allowing pages to fully load their content for indexing.

Importance Of Error Handling

Clifford emphasized the importance of developers implementing graceful error handling in their JavaScript code.

Unhandled errors can lead to blank pages, redirects, or missing content, negatively impacting indexing.

She advised:

“If there is an error, I just try and handle it as gracefully as possible…web development is hard stuff.”

What Does This Mean?

Implications For Web Developers

  • Graceful Error Handling: Implementing graceful error handling ensures pages load as intended, even if certain code elements fail.
  • Cautious Use of Idle Callbacks: While Google has adapted to handle idle callbacks, be wary of over-relying on these functions.

Implications For SEO Professionals

  • Monitoring & Testing: Implement regular website monitoring and testing to identify rendering issues that may impact search visibility.
  • Developer Collaboration: Collaborate with your development team to create user-friendly and search engine-friendly websites.
  • Continuous Learning: Stay updated with the latest developments and best practices in how search engines handle JavaScript, render web pages, and evaluate content.

See also: Google Renders All Pages For Search, Including JavaScript-Heavy Sites

Other Rendering-Related Topics Discussed

The discussion also touched on other rendering-related topics, such as the challenges posed by user agent detection and the handling of JavaScript redirects.

The whole podcast provides valuable insights into web rendering and the steps Google takes to assess pages accurately.

See also: Google Renders All Pages For Search, Including JavaScript-Heavy Sites


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Google’s Indifference To Site Publishers Explained

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Google inadvertently reveals reasons that explain their seeming indifference to publishers hurt by algorithm updates

A publisher named Brandon Saltalamacchia interviewed Google’s SearchLiaison in which he offered hope that quality sites hit by Google’s algorithms may soon see their traffic levels bounce back. But that interview and a recent Google podcast reveal deeper issues that may explain why Google seems indifferent to publishers with every update.

Google Search Relations

Google has a team whose job is to communicate how site owners can do well on Google. So it’s not that Googlers themselves are indifferent to site publishers and creatives. Google provides a lot of feedback to publishers, especially through Google Search Console. The area in which Google is indifferent to publishers is directly in search at its most fundamental level.

Google’s algorithms are built on the premise that it has to provide a good user experience and is internally evaluated to that standard. This creates the situation where from Google’s perspective the algorithm is working the way it should. But from the perspective of website publishers Google’s ranking algorithms are failing. Putting a finger on why that’s happening is what this article is about.

Publishers Are Not Even An Afterthought To Google

The interview by Brandon Saltalamacchia comes against the background of many websites having lost traffic due to Google’s recent algorithm updates. From Google’s point of view their algorithms are working fine for users. But the steady feedback from website publishers is no, it’s not working. Google’s response for the past month is that they’re investigating how to improve.

What all of this reveals is that there is a real disconnect between how Google measures how their algorithms are working and how website publishers experience it in the real world. It may surprise most people to learn that that this disconnect begins with Google’s mission statement to make information “universally accessible and useful”  and ends with the rollout of an algorithm that is tested for metrics that take into account how users experience it but is 100% blind to how publishers experience it.

Some of the complaints about Google’s algorithms:

  • Ranking algorithms for reviews, travel and other topics are favoring big brands over smaller publishers.
  • Google’s decision to firehose traffic at Reddit contributes to the dismantling of the website publishing ecosystem.
  • AI Overviews summarizes web pages and deprives websites of search traffic.

The stated goal for Google’s algorithm decisions is to increase user satisfaction but the problem with that approach is that website publishers are left out of that equation.  Consider this: Google’s Search Quality Raters Guidelines says nothing about checking if big brands are dominating the search results. Zero.

Website publishers aren’t even an afterthought for Google. Publishers are not not considered at any stage of the creation, testing and rollout of ranking algorithms.

Google Historically Doesn’t Focus On Publishers

A remark by Gary Illyes in a recent Search Off The Record indicated that in Gary’s opinion Google is all about the user experience because if search is good for the user then that’ll trickle down to the publishers and will be good for them too.

In the context of Gary explaining whether Google will announce that something is broken in search, Gary emphasized that search relations is focused on the search users and not the publishers who may be suffering from whatever is broken.

John Mueller asked:

“So, is the focus more on what users would see or what site owners would see? Because, as a Search Relations team, we would focus more on site owners. But it sounds like you’re saying, for these issues, we would look at what users would experience.”

Gary Illyes answered:

“So it’s Search Relations, not Site Owners Relations, from Search perspective.”

Google’s Indifference To Publishers

Google’s focus on satisfying search users can in practice turn into indifference toward publishers.  If you read all the Google patents and research papers related to information retrieval (search technology) the one thing that becomes apparent is that the measure of success is always about the users. The impact to site publishers are consistently ignored. That’s why Google Search is perceived as indifferent to site publishers, because publishers have never been a part of the search satisfaction equation.

This is something that publishers and Google may not have wrapped their minds around just yet.

Later on, in the Search Off The Record  podcast, the Googlers specifically discuss how an update is deemed to be working well regardless if a (relatively) small amount of publishers are complaining that Google Search is broken, because what matters is if Google perceives that they are doing the right thing from Google’s perspective.

John said:

“…Sometimes we get feedback after big ranking updates, like core updates, where people are like, “Oh, everything is broken.”

At the 12:06 minute mark of the podcast Gary made light of that kind of feedback:

“Do we? We get feedback like that?”

Mueller responded:

“Well, yeah.”

Then Mueller completed his thought:

“I feel bad for them. I kind of understand that. I think those are the kind of situations where we would look at the examples and be like, “Oh, I see some sites are unhappy with this, but overall we’re doing the right thing from our perspective.”

And Gary responded:

“Right.”

And John asks:

“And then we wouldn’t see it as an issue, right?”

Gary affirmed that Google wouldn’t see it as an issue if a legit publisher loses traffic when overall the algorithm is working as they feel it should.

“Yeah.”

It is precisely that shrugging indifference that a website publisher, Brandon Saltalamacchia, is concerned about and discussed with SearchLiaison in a recent blog post.

Lots of Questions

SearchLiaison asked many questions about how Google could better support content creators, which is notable because Google has a long history of focusing on their user experience but seemingly not also considering what the impact on businesses with an online presence.

That’s a good sign from SearchLiaison but not entirely a surprise because unlike most Googlers, SearchLiaison (aka Danny Sullivan) has decades of experience as a publisher so he knows what it’s like on our side of the search box.

It will be interesting if SearchLiaison’s concern for publishers makes it back to Google in a more profound way so that there’s a better understanding that the Search Ecosystem is greater than Google’s users and encompasses website publishers, too. Algorithm updates should be about more than how they impact users, the updates should also be about how they impact publishers.

Hope For Sites That Lost Traffic

Perhaps the most important news from the interview is that SearchLiaison expressed that there may be changes coming over the next few months that will benefit the publishers who have lost rankings over the past few months of updates.

Brandon wrote:

“One main take away from my conversation with Danny is that he did say to hang on, to keep doing what we are doing and that he’s hopeful that those of us building great websites will see some signs of recovery over the coming months.”

Yet despite those promises from Danny, Brandon didn’t come away with hope.

Brandon wrote:

“I got the sense things won’t change fast, nor anytime soon. “

Read the entire interview:

A Brief Meeting With Google After The Apocalypse

Listen to the Search Off The Record Podcast

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20 Confirmed Facts About YouTube’s Algorithm

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20 Confirmed Facts About YouTube's Algorithm

Instead of counting the number of clicks or views a video gets, YouTube’s algorithms focus on ensuring viewers are happy with what they watch.

This article examines how YouTube’s algorithms work to help users find videos they like and keep them watching for longer.

We’ll explain how YouTube selects videos for different parts of its site, such as the home page and the “up next” suggestions.

We’ll also discuss what makes some videos appear more than others and how YouTube matches videos to each person’s interests.

By breaking this down, we hope to help marketers and YouTubers understand how to work better with YouTube’s system.

A summary of all facts is listed at the end.

Prioritizing Viewer Satisfaction

Early on, YouTube ranked videos based on watch time data, assuming longer view durations correlated with audience satisfaction.

However, they realized that total watch time alone was an incomplete measure, as viewers could still be left unsatisfied.

So, beginning in the early 2010s, YouTube prioritized viewer satisfaction metrics for ranking content across the site.

The algorithms consider signals like:

  • Survey responses directly asking viewers about their satisfaction with recommended videos.
  • Clicks on the “like,” “dislike,” or “not interested” buttons which indicate satisfaction.
  • Overall audience retention metrics like the percentage of videos viewed.
  • User behavior metrics, including what users have watched before (watch history) and what they watch after a video (watch next).

The recommendation algorithms continuously learn from user behavior patterns and explicit satisfaction inputs to identify the best videos to recommend.

How Videos Rank On The Homepage

The YouTube homepage curates and ranks a selection of videos a viewer will most likely watch.

The ranking factors include:

Performance Data

This covers metrics like click-through rates from impressions and average view duration. When shown on its homepages, YouTube uses these traditional viewer behavioral signals to gauge how compelling a video is for other viewers.

Personalized Relevance

Besides performance data, YouTube relies heavily on personalized relevance to customize the homepage feed for each viewer’s unique interests. This personalization is based on insights from their viewing history, subscriptions, and engagement patterns with specific topics or creators.

How YouTube Ranks Suggested Video Recommendations

The suggested videos column is designed to keep viewers engaged by identifying other videos relevant to what they’re currently watching and aligned with their interests.

The ranking factors include:

Video Co-Viewing

YouTube analyzes viewing patterns to understand which videos are frequently watched together or sequentially by the same audience segments. This allows them to recommend related content the viewer will likely watch next.

Topic/Category Matching

The algorithm looks for videos covering topics or categories similar to the video being watched currently to provide tightly relevant suggestions.

Personal Watch History

A viewer’s viewing patterns and history are a strong signal for suggesting videos they’ll likely want to watch again.

Channel Subscriptions

Videos from channels that viewers frequently watch and engage with are prioritized as suggestions to keep them connected to favored creators.

External Ranking Variables

YouTube has acknowledged the following external variables can impact video performance:

  • The overall popularity and competition level for different topics and content categories.
  • Shifting viewer behavior patterns and interest trends in what content they consume.
  • Seasonal effects can influence what types of videos people watch during different times of the year.

Being a small or emerging creator can also be a positive factor, as YouTube tries to get them discovered through recommendations.

The company says it closely monitors success rates for new creators and is working on further advancements like:

  • Leveraging advanced AI language models to better understand content topics and viewer interests.
  • Optimizing the discovery experience with improved layouts and content pathways to reduce “choice paralysis.”

Strategies For Creators

With viewer satisfaction as the overarching goal, this is how creators can maximize the potential of having their videos recommended:

  • Focus on creating content that drives high viewer satisfaction through strong audience retention, positive survey responses, likes/engagement, and low abandon rates.
  • Develop consistent series or sequel videos to increase chances of being suggested for related/sequence views.
  • Utilize playlists, end screens, and linked video prompts to connect your content for extended viewing sessions.
  • Explore creating content in newer formats, such as Shorts, live streams, or podcasts, that may align with changing viewer interests.
  • Monitor performance overall, specifically from your existing subscriber base as a baseline.
  • Don’t get discouraged by initial metrics. YouTube allows videos to continuously find relevant audience segments over time.
  • Pay attention to seasonality trends, competition, and evolving viewer interests, which can all impact recommendations.

In Summary – 20 Key Facts About YouTube’s Algorithm

  1. YouTube has multiple algorithms for different sections (homepage, suggested videos, search, etc.).
  2. The recommendation system powers the homepage and suggested video sections.
  3. The system pulls in videos that are relevant for each viewer.
  4. Maximizing viewer satisfaction is the top priority for rankings.
  5. YouTube uses survey responses, likes, dislikes, and “not interested” clicks to measure satisfaction.
  6. High audience retention percentages signal positive satisfaction.
  7. Homepage rankings combine performance data and personalized relevance.
  8. Performance is based on click-through rates and average view duration.
  9. Personalized relevance factors include watch history, interests, and subscriptions.
  10. Suggested videos prioritize content that is co-viewed by the same audiences.
  11. Videos from subscribed channels are prioritized for suggestions.
  12. Consistent series and sequential videos increase suggestions for related viewing.
  13. Playlists, end screens, and linked videos can extend viewing sessions.
  14. Creating engaging, satisfying content is the core strategy for recommendations.
  15. External factors like competition, trends, and seasonality impact recommendations.
  16. YouTube aims to help new/smaller creators get discovered through recommendations.
  17. AI language models are improving content understanding and personalization.
  18. YouTube optimizes the discovery experience to reduce “choice paralysis.”
  19. Videos can find audiences over time, even if initial metrics are discouraging.
  20. The algorithm focuses on delivering long-term, satisfying experiences for viewer retention.

Insight From Industry Experts

While putting together this article, I reached out to industry experts to ask about their take on YouTube’s algorithms and what’s currently working for them.

Greg Jarboe, the president and co-founder of SEO-PR and author of YouTube and Video Marketing, says:

“The goals of YouTube’s search and discovery system are twofold: to help viewers find the videos they want to watch, and to maximize long-term viewer engagement and satisfaction. So, to optimize your videos for discovery, you should write optimized titles, tags, and descriptions. This has been true since July 2011, when the YouTube Creator Playbook became available to the public for the first time.

However, YouTube changed its algorithm in October 2012 – replacing ‘view count’ with ‘watch time.’ That’s why you need to go beyond optimizing your video’s metadata. You also need to keep viewers watching with a variety of techniques. For starters, you need to create a compelling opening to your videos and then use effective editing techniques to maintain and build interest through the video.

There are other ranking factors, of course, but these are the two most important ones. I’ve used these video SEO best practices to help the Travel Magazine channel increase from just 1,510 to 8.7 million views. And these video SEO techniques help the SonoSite channel grow from 99,529 views to 22.7 million views.

The biggest recent trend is the advent of YouTube Shorts, which is discoverable on the YouTube homepage (in the new Shorts shelf), as well as across other parts of the app. For more details, read “Can YouTube Shorts Be Monetized? Spoiler Alert: Some Already Are!

Brie E. Anderson, an SEO and digital marketing consultant, says:

“In my experience, there are a few things that are really critical when it comes to optimizing for YouTube, most of which won’t be much of a surprise. The first is obviously the keyword you choose to target. It’s really hard to beat out really large and high authority channels, much like it is on Google. That being said, using tools like TubeBuddy can help you get a sense of the keywords you can compete for.

Another big thing is focusing on the SERP for YouTube Search. Your thumbnail has to be attention-grabbing – this is honestly what we test the most and one of the most impactful tests we run. More times than not, you’re looking at a large face, and max four words. But the amount of contrast happening in the thumbnail and how well it explains the topic of the video is the main concern.

Also, adding the ‘chapters’ timestamps can be really helpful. YouTube actually shows these in the SERP, as mentioned in this article.

Lastly, providing your own .srt file with captions can really help YouTube understand what your video is about.

Aside from actual on-video optimizations, I usually encourage people to write blog posts and embed their videos or, at the very least, link to them. This just helps with indexing and building some authority. It also increases the chance that the video will help YOUR SITE rank (as opposed to YouTube).”

Sources: YouTube’s Creator Insider Channel (1, 2, 3, 4, 5, 6), How YouTube Works

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