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Maybe you’ve heard colleagues or industry experts talking about Microsoft Clarity. But what is it and how does it work?

Microsoft Clarity is a user behavior and website debugging analytics tool unlike any other.

What Clarity does is provide insights into how users interact with the site, making it completely different from other analytics tools, including Google Analytics.

Learn about its various features, limitations, why it’s not a competitor to Google Analytics, and how you can make the best use of Microsoft Clarity here.

User Experience Analytics

Other analytics tools focus on things like reporting on traffic, nyckelord, page popularity, and so on.

Microsoft Clarity focuses on the user experience to help publishers gain insights into how users are interacting with their site.

The user behavior data helps publishers identify areas to improve, find web page bugs, and gain insights into conversions, among many other useful insights.

Microsoft Clarity even provides machine learning and deep AI components in the background that automatically generate insights based on patterns created by website user behaviors. It provides these insights as suggestions for further investigation and tracking.

With Clarity, a publisher can see user engagement patterns on different parts of individual pages and can play back user sessions to learn how users interact with web pages.

Over 25 filters make it easy to zero in on user pain points to debug website issues or discover what works in order to replicate that experience on other pages.

All of these insights are delivered by Microsoft Clarity in near real-time.

Microsoft Clarity Versus Google Analytics

You might wonder whether you need Microsoft Clarity if you already have Google Analytics. Some believe that because they’re both analytics services, there may be overlap between the two.

However, there really is no comparison between Google Analytics and Microsoft Clarity because they do very different things.

Google Analytics provides insights into traffic patterns.

Microsoft Clarity provides actionable insights into how users interact with web pages.

Microsoft Clarity is not a competitor of Google Analytics. Instead, it actually complements Google Analytics to the point that you can connect Google Analytics to Clarity and gain even more user behavior insights using the imported data.

Privacy Compliance

Although Microsoft Clarity tracks user behavior on the website, Clarity is fully compliant with the European GDPR and the California CCPA privacy requirements.

Microsoft Clarity Impact On Page Speed

Microsoft Clarity’s JavaScript is loaded asynchronously and, according to Microsoft, does not impact website performance.

Microsoft says:

“Visitors to your site won’t experience any difference in site speed or performance. The Clarity JavaScript is asynchronous so it does not slow down the page load time.”

Does Microsoft Clarity Have Traffic Limitations?

There are no limits to the amount of traffic that can be measured by Clarity.

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Unlike other heatmap and analytics tools that impose traffic limits to the free versions of their tools, Microsoft imposes no limits based on traffic.

According to Microsoft:

“There are absolutely no limits on the number of sites per account. Clarity can scale to support even the largest websites.

Clarity process more than 1 petabyte of data from over 100 million users per month. Also, there are no traffic limits on these sites.”

Microsoft Clarity Features

The main features of Microsoft Clarity are:

  • Clarity Heatmaps.
  • Session Recordings.
  • Clarity Insights.

Clarity Heatmaps

Clarity Heatmaps provides two kinds of heatmap data:

1. Click Heatmaps

Click heatmaps:

  • Show engagement levels of different parts of a webpage.
  • Reveal where people are clicking (including non-clickable page elements).
  • And provide an idea of which page elements are important to most site visitors.

Click heatmap data can be shown for a single page or for a group of pages.

This data can be further refined and segmented with filters to drill down and see how different users are clicking on web page elements.

Screenshot of Microsoft Clarity Heatmaps, October 2020

2. Scroll Heatmaps

Scroll Heatmaps show how far users are scrolling on a web page. Like all the other Clarity features, filters can be applied to the Scroll Heatmap in order to see how different users scroll through a page – by device, for example.

Scroll Heatmap data is incredibly useful because it can show how far users are scrolling before they click a call to action.

The Scroll heatmaps can also help identify if users aren’t reaching a call to action or important information.

If users aren’t reaching certain content and are backing out of the site without converting, then the scroll heatmap data will show at which point users are bailing on your site.

Actionable Heatmap Data

The Clarity Heatmaps can be segmented by filters such as traffic sources, devices, and browsers to identify patterns displayed by different visitors.

The heatmap data is useful for debugging web page issues by identifying where they are clicking, better understanding the user experience, and identifying where users linger.

Additionally, it helps to improve conversions by showing where users are bailing or if call to actions are scrolled past and not stimulating clicks.

In my opinion, the most important quality of the Clarity Heatmaps feature is helping to improve conversions because most sites have a conversion action they want users to complete whether it’s clicking an ad, buying a product, clicking an affiliate link, or signing up for a newsletter.

The Clarity Heatmap helps debug conversion issues and improve them.

The information in Clarity Heatmaps can also be shared with others in your company and with clients.

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There are no traffic limits to the Clarity Heatmap feature, which makes it an attractive feature for publishers with large amount of traffic and those starting out.

Session Recordings

Clarity session recordings is a feature that records and plays back user journeys through the web site. It shows how users interact with site navigation, calls to action, search features, and other on-page elements.

Session recordings shows publishers if site navigation and links help users find the content they want and can also show what on-page factors aren’t working, like the calls to action.

Screenshot of Session TimelineScreenshot of a User Session Timeline, October 2020

The session recordings can identify rage clicks, dead clicks, quick backs, and excessive scrolling.

Rage Clicks

Rage clicks indicate areas of a web page that may not be interactive when a user expects them to be. The typical rage click is characterized when a user repeatedly clicking on a web page element like a link, button, or image.

For example, if a link isn’t working because the page hasn’t fully loaded or an image seems like a link but it isn’t one at all. Rage clicks are highlighted by Clarity to point out areas of the user experience that indicate user frustration with the web page.

Dead Clicks

A dead click is what happens when an interactive element does not respond in a reasonable amount of time or doesn’t respond at all.

This is also a signal of user frustration.

Quick Backs

The quick back is when a user clicks away from your site to another site but then returns.

Microsoft indicates that this data point will be updated to include the origin site so that it will record when a user clicks from one page in a site to another page in the same site and then returns to the original page, indicating dissatisfaction with the page they clicked to.

Excessive Scrolling

Session recordings can also reveal what Microsoft calls “excessive scrolling.”

Excessive scrolling is when Clarity detects that a site visitor scrolls up and down in an unusual pattern that indicates a poor user experience.

This data point could indicate that the user is not finding what they expect to find and is likely frustrating the site visitor in some other way, enough to cause them to leave the site.

Clarity Session Recordings provide valuable insights that can help increase sales, affiliate clicks, ad clicks, and site visitor satisfaction.

A useful feature of Session Recordings is that these data points can be segmented by browser, campaign, and 23 other filters.

Clarity Session recordings is a powerful way to gain insights into user behavior and improve web page and website performance.

Clarity Analytics Recordings DashboardScreenshot of the Recordings Dashboard, October 2020

The session timeline, shown in the screenshot above, is like a movie of the user interaction with a page. Cursor movements are shown.

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The session panel on the left allows a publisher to filter the data to isolate a wide range of data types.

The individual sessions seen in the boxes can be selected and viewed.

Additionally, one can click on the Filters button at the top in order to select for a large amount of data types, like user device and so on.

Clicking on the Filters button results in an entire web page of filters.

To save space and provide a closeup, I sliced the filters page in half, a left side and a right side.

Microsoft Clarity Analytics Sessions FilterScreenshot of the Left and Right Side of the Filters, October 2020

Clarity Insights

Microsoft Clarity Insights is a feature that applies the power of Deep AI and Machine Learning algorithms to automatically surface actionable insights from the analytics data collected by Clarity.

Screenshot of the Microsoft Clarity Screenshot of Insights Dashboard, October 2020

Clarity watches for session recordings with JavaScript errors, rage clicks, and dead clicks, as well as identifies browsers and also user groups to watch.

Users can save groups for tracking.

The Clarity Insights documentation says:

“Clarity Insights are a set of Machine Learning (ML) based filters and recommendations on what content should be most important for you.

…Through the dashboard, you can understand the users without having to analyze the ocean of data derived from user interactions on the website.

There comes a central question: If Clarity can record every user interaction, how can it surface the sessions and pages that matter the most? One solution comes via the Clarity Insights platform.

Clarity Insights lean on Microsoft’s decades of experience in Data Science and Machine Learning to identify key trends and patterns in your site activity.

…Providing accurate, accessible, and proactive analytics is a foundational feature of Clarity.”

Screenshot of a closeup of the Microsoft Clarity Screenshot of a closeup of the Microsoft Clarity “Insights” dashboard, October 2020

Adding Microsoft Clarity Analytics To Your Stack

The big question many have is whether they should use Clarity considering that they already use another analytics program.

Clarity provides actionable insights for improving website earnings and the user experience, which is something many analytics programs do not provide.

It’s clear that Microsoft Clarity is not a competitor to Google Analytics, it is complementary to it.

Thus, it could be said that it is not appropriate to compare the two because they both solve different problems.

Clarity is a good product because it helps publishers improve conversions and sales, as well as the site visitor user experience.

What Clarity does is to help publishers identify shortcomings in their site(s) and improve them.

There is no pricing model for Microsoft Clarity – it is free, regardless of how much traffic a site attracts.

The only limitation to Clarity is that financial, government, and medical websites are not recommended by Microsoft to onboard to Clarity.

The answer to the question of whether you should use Microsoft Clarity, aside from the above caveat, depends on how important it is to you to improve earnings and site visitor user experience.

Citations:

Fler resurser:


Featured Image: Ollyy/Shutterstock




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New Ecommerce Exploit Affects WooCommerce, Shopify, Magento

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New Ecommerce Exploit Affects WooCommerce, Shopify, Magento

A serious hacking attack has been exploiting ecommerce websites to steal credit card information from users and to spread the attack to other websites.

These hacking attacks are called Magecart style skimmer and it’s spreading worldwide across multiple ecommerce platforms.

Attackers are targeting a variety of ecommerce platforms:

  • Magento
  • Shopify
  • WooCommerce
  • WordPress

What Does the Attack Do?

The attackers have two goals when infecting a website:

1. Use the site to spread itself to other sites

2. Steal personal information like credit card data from customers of the infected website.

Identifying a vulnerability is difficult because the code dropped on a website is encoded and sometimes masked as a Google Tag or a Facebook Pixel code.

Screenshot by Akamai

What the code does however is target input forms for credit card information.

It also serves as an intermediary to carry out attacks on behalf of the attacker, thus covering up the true source of the attacks.

Magecart Style Skimmer

A Magecart attack is an attack that enters through an existing vulnerability on the ecommerce platform itself.

On WordPress and WooCommerce it could be a vulnerability in a theme or plugin.

On Shopify it could an existing vulnerability in that platform.

In all cases, the attackers are taking advantage of vulnerabilities that are present in the platform the ecommerce sites are using.

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This is not a case where there is one single vulnerability that can be conveniently fixed. It’s a wide range of them.

The report by Akamai states:

“Before the campaign can start in earnest, the attackers will seek vulnerable websites to act as “hosts” for the malicious code that is used later on to create the web skimming attack.

…Although it is unclear how these sites are being breached, based on our recent research from similar, previous campaigns, the attackers will usually look for vulnerabilities in the targeted websites’ digital commerce platform (such as Magento, WooCommerce, WordPress, Shopify, etc.) or in vulnerable third-party services used by the website.”

Rekommenderad åtgärd

Akamai recommends that all Ecommerce users secure their websites. That means making sure all third party apps and plugins are updated and that the platform is the very latest version.

They also recommend using a Web Application Firewall (WAF), which detects and prevents intrusions when hackers are probing a site in search of a vulenerable website.

Users of platforms like WordPress have multiple security solutions, with popular and trusted ones being Sucuri Security (website hardening) and WordFence (WAF).

Akamai recommends:

“…the complexity, deployment, agility, and distribution of current web application environments — and the various methods attackers can use to install web skimmers — require more dedicated security solutions, which can provide visibility into the behavior of scripts running within the browser and offer defense against client-side attacks.

An appropriate solution must move closer to where the actual attack on the clients occurs. It should be able to successfully identify the attempted reads from sensitive input fields and the exfiltration of data (in our testing we employed Akamai Page Integrity Manager).

We recommend that these events are properly collected in order to facilitate fast and effective mitigation.”

Read the original report for more details:

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New Magecart-Style Campaign Abusing Legitimate Websites to Attack Others



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Googles John Mueller om domänval: gTLDs vs. ccTLDs

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Google's John Mueller om domänval: gTLDs vs. ccTLDs

Google Search Advocate, John Mueller, has shed light on the difference between generic top-level domains (gTLDs) and country code top-level domains (ccTLDs), offering practical advice to businesses and SEO professionals.

His comments arrive amidst the recent update by Google that categorizes .ai domains as gTLDs, moving away from their previous association with Anguilla, a British Overseas Territory in the Eastern Caribbean.

Understanding The gTLD & ccTLD Distinction

A website owner in a Reddit thread on the r/SEO forum asks about the SEO implications of choosing country-specific domains.

Responding to the thread, Mueller notes that ccTLDs, such as .nl, .fr, and .de, are advantageous if a business is targeting customers in that region.

However, for those aiming for a global market or targeting a different country than the ccTLD suggests, a gTLD or the relevant ccTLD might be a better choice.

Mueller explains:

“The main thing I’d watch out for is ccTLD (“country code” — like nl, fr, de) vs gTLD (“generic” – com, store, net, etc). ccTLDs tend to focus on one country, which is fine if you plan on mostly selling in that country, or if you want to sell globally. If you mostly want to target another country (like “nationwi.de” but you want to target the US), then make sure to get either that ccTLD or a gTLD.”

He further clarifies that new TLDs are all classified as gTLDs. Even those that seem geographically specific, like “.berlin,” are technically not considered ccTLDs.

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Mueller continues:

“All of the new TLDs are gTLDs, for what it’s worth — some sound geo-specific, but they’re technically not (like “.berlin” — it’s a gTLD). Apart from ccTLD vs gTLD for SEO, there’s also the user-aspect to think about: will they click on a link that they perceive to be for users in another country?”

In another similar thread, Mueller warns against selecting TLDs predominantly used by spammers:

“From an SEO POV, I would just not pick a TLD that’s super-cheap and over-run with spam.” This comment underlines the importance of considering the reputation of TLDs when strategizing for SEO.

Google’s .ai Domain Update

Google recently updated its help documentation, specifying that it now treats .ai domain names as a gTLD, similar to .com, .org, and others.

This means Google Search won’t consider .ai domains geo-specific to Anguilla.

Gary Illyes from the Google Search Relations team provides the reason behind the change:

“We won’t infer the target country from the ccTLD so targeting Anguilla became a little harder, but then again there are barely any .ai domains that try to do that anyway.”

This update is significant for businesses and SEO professionals previously avoiding the use of .ai domain names for fear of Google associating them with Anguilla.

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The new classification removes the concerns, and such domains can now be used without the worry of geo-specific targeting by Google’s algorithms.

Sammanfattningsvis

Choosing the right domain, whether country-specific (ccTLD) or generic (gTLD), makes a difference in reaching the right audience.

A ccTLD could be a good fit if a business mainly targets customers in a specific country. A gTLD might be a better choice if the goal is to reach a broader, global audience.

Additionally, it’s a good idea to avoid spammy TLDs that hurt your site’s reputation.

Mueller’s comments are a good reminder of the strategic decisions in registering your domain.


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11 tips för att optimera prestanda Max-kampanjer

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11 tips för att optimera prestanda Max-kampanjer

Performance Max campaigns are the pinnacle of automation in PPC, so it’s no surprise they continue to be a major topic of debate for PPC professionals looking to balance time savings with peak campaign performance.

The primary goal of Performance Max campaigns is to drive conversions, such as sales, leads, or sign-ups, for your business while maintaining a competitive cost-per-action (CPA) or return-on-ad-spend (ROAS).

By utilizing Smart Bidding strategies and dynamically adapting ad creatives, these campaigns help advertisers reach a wider audience and boost the results obtained from traditional, single-channel campaigns.

But their high dependence on AI doesn’t mean these are set-it-and-forget-it campaigns.

Automation can still benefit from the touch of an expert PPC manager. But because they are so different from traditional campaigns, there are unique ways to optimize Performance Max (PMax) campaigns.

PMax optimization broadly falls into three categories:

  • Setting them up for success.
  • Monitoring that the AI is driving the right results.
  • Tweaking the campaigns to further optimize their performance.

Read on to learn how to get the most out of your PMax campaigns by addressing each of these three areas of opportunity.

How To Set Up PMax Campaigns For Success

Let’s start with what can be done to set up Performance Max campaigns to be successful out of the gate.

Remember that one big risk of automated PPC is that machine learning algorithms can eat up a significant amount of budget during the learning phase, where it establishes what works and what doesn’t.

Many advertisers don’t have the patience or the deep pockets to pay for machines to learn what they already know from their own experience.

1. Run It In Addition To Traditional Campaign Types

This advice is straight from Google, which says

“It’s designed to complement your keyword-based Search campaigns to help you find more converting customers across all of Google’s channels like YouTube, Display, Search, Discover, Gmail, and Maps.”

And while running Performance Max as a stand-alone campaign is better than not advertising on Google at all, for professional marketers, it should be seen as a supplement to existing campaign types.

Running PMax campaigns in conjunction with traditional search and display campaigns offers advertisers a more comprehensive and diversified marketing strategy.

This approach allows businesses to capitalize on the strengths of each campaign type while mitigating their limitations, resulting in a more balanced and effective promotional effort.

Traditional search campaigns are particularly effective at capturing user intent through keyword targeting, ensuring ads are shown to users actively searching for relevant products or services.

Traditional display campaigns, on the other hand, are excellent at raising brand awareness and reaching audiences across a vast network of websites and apps.

PMax campaigns complement these traditional approaches by utilizing machine learning to optimize ad targeting and placement across multiple Google platforms.

This broadens the reach of advertising efforts, tapping into new audience segments and driving conversions more efficiently.

Combining these campaign types allows advertisers to cover all stages of the customer journey, from awareness and consideration to conversion and retention, while maximizing their ROAS.

2. Exclude Brand Keywords From Performance Max

One keyword-targeted search campaign you should always have is a brand campaign.

Then, ask your Google rep to exclude your brand keywords from all PMax campaigns so they don’t cannibalize traffic from your brand campaign.

Brand traffic should be inexpensive because it’s leveraging the power of your own brand. When users search for that, your ads will be the best match with the highest Quality Score and hence should be discounted significantly.

But because Performance Max’s mission is to generate more conversions, it may actually end up bidding on really expensive brand-adjacent queries.

For example, if I bid on the keyword “optmyzr,” I’ll pay around $0.10 per click when someone searches for exactly that.

(Disclosure, I am the co-founder of Optmyzr.)

But if I show ads for the keyword “optmyzr ppc management software,” I’m competing against every advertiser who bids for ‘ppc management software,’ my brand discount disappears, and those clicks will cost several dollars each.

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In a branded search campaign, I can control exactly which traffic to target using positive and negative keywords. But in Performance Max, there is no easy way to manage keywords, so Google may use the really cheap brand traffic to subsidize the much more expensive brand-adjacent traffic.

Ultimately, you will get results within your stated ROAS eller CPA limits. And while that may be acceptable to some, many advertisers prefer to manage their brand campaign separately from everything else.

3. Create Multiple Performance Max Campaigns To Target Different Goals

The same reasons why you would run more than one campaign in an account without Performance Max apply to why you should consider having multiple PMaxcampaigns.

For example, online retailers often set different goals for different product categories because they have different profit margins. By splitting these products into different campaigns with different ROAS targets, advertisers can maximize their profitability.

Image from author, April 2023

Maintaining multiple campaigns also supports seasonal advertising plans that may require different budgets at different times of the year.

Google supports up to 100 Performance Max campaigns per account, so that indicates that it, too, agrees there are many different good reasons why an advertiser would want to maintain more than one campaign.

4. Manage Final URL Expansion

When you create a PMax campaign, you tell Google what landing page to send traffic to. But you also get to decide if Google can expand to other landing pages on your domain.

Think of it a bit as dynamic search ads (DSAs), which automatically match your site’s pages to potentially relevant searches and automatically generate the ads to show.

Final URL expansion should be used cautiously.

At the campaign’s onset, consider focusing all your budget on the landing pages you care most about. If the results are good, then expand to more final URLs automatically.

And always be sure to use rules and exclusions to ensure Google doesn’t show your ads for parts of your site you don’t want advertised. For example, exclude your login page (assuming that one is ranked high in SEO).

You can also exclude sections of your site that are the focus of other campaigns. A retailer could exclude all pages that include the path ‘electronics’ in their apparel campaign to ensure consumers interested in electronics are served ads from the most relevant campaign.

5. Add Audience Signals From The Start

Adding audiences to a Performance Max campaign helps enhance the targeting and performance of your marketing efforts.

While PMax campaigns already utilize machine learning to optimize ad targeting, incorporating audience information provides additional context that can further improve the campaign’s efficiency.

Adding audience information enables the machine learning algorithms in PMax campaigns to make more informed decisions when optimizing ad targeting and placements. This can lead to better campaign performance and a higher ROAS.

By specifying particular audience segments, such as in-market, affinity, or remarketing audiences, advertisers can tailor their campaign messaging and creative to resonate better with their target users. This enables more personalized and relevant ad experiences, resulting in higher engagement and conversion rates.

Advertisers should also attach their own audiences to Performance Max campaigns. For example, by attaching a list of all their existing customers, they can choose to have the PMax campaign prioritize new user acquisition.

Because it is generally harder and more expensive to find new users than to convince existing users to make another purchase, adding this setting can better focus the ad budget on what is most valuable to the business.

How To Monitor Performance Max Campaigns For Success

Even when campaigns are well set up, monitoring AI is always a smart idea because it can sometimes make questionable decisions.

When I accidentally turned on automatically applied recommendations from Google, I found that my brand keyword ‘optmyzr’ was removed by Google because the AI felt it was redundant to some other keywords in my campaign, particularly some misspellings of our brand name.

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I investigated and found the keywords Google preferred delivered fewer conversions and had a higher CPA than the keywords it removed. So not only was AI semantically wrong, but it also made a bad decision for my bottom line.

So let’s look at some ways to monitor Performance Max campaigns.

6. Report Where Your Performance Max Traffic Is Coming From

Just like you may have monitored clicks and impressions by device types or from different geographic areas, in PMax you should care about the performance of the various channels where your ads are shown.

If you only look at the overall performance of a PMax campaign, you may be falling into the trap of averages.

Relying solely on averages can be misleading and might not accurately represent the true nature of the underlying data.

Averages can oversimplify complex data, reducing it to a single value that may not capture important nuances or patterns within the dataset, and this can mask the variability or range of values in the dataset, leading to false assumptions about the consistency or homogeneity of the data.

en rapportwidget som visar var Google Ads Performance Max-annonser visasImage from author, April 2023

For example, is low performance on the display network made up for by the great performance of ads on YouTube?

On average, the campaign drives the results you want. But by eliminating some wasteful portions, results could be even better than what you asked for.

Even if the campaign is delivering the desired results, knowing about possible inefficiencies puts you in a better position to address those and tilt the playing field back in your favor.

Tools like Optmyzr make it easy to see where your budget is spent in PMax, and there are also Google Ads scripts that will add this type of clarity to your data.

7. Monitor For Cannibalization

Because PMax campaigns don’t include the traditional search terms reports and only include part of that data in insights, it can be difficult to know when it is cannibalizing the other campaigns you’re running in parallel.

When it comes to standard shopping campaigns and PMax for retail (which replaced Smart Shopping campaigns), the PMax campaign always takes precedence over the traditional shopping campaign. For this reason, it’s important to segment products to avoid overlap.

For example, you could advertise shower doors in one campaign and bathroom vanities in another. But if there is any possible overlap, even segmenting campaigns may not lead to the desired result.

For example, shower wands advertised in a traditional shopping campaign may be closely enough related to shower doors and get mixed into the PMax campaign for shower enclosures.

Regarding keyword cannibalization, Google says if the user’s query is identical to an eligible Search keyword of any match type in your account, the Search campaign will be prioritized over Performance Max.

But if the query is not identical to an eligible Search keyword, the campaign or ad with the highest Ad Rank, which considers creative relevance and performance, will be selected.

And even a keyword that is an identical match may be ineligible due to a variety of factors and still get cannibalized.

The best way to monitor for cannibalization is to monitor campaign volumes and look for shifts. Does an unexpected drop in a search campaign correspond to an increase in traffic to the PMax campaign? If so, dig deeper and use our optimization tip for managing negative keywords that we’ll cover in the next section.

Optimizations For Performance Max

While PMax promises to optimize itself on an ongoing basis thanks to AI, there are some proactive ways you can still help the machines deliver better results.

8. Use Account-Level Negative Keywords

Unfortunately, it’s not possible to add negative keywords to a PMax campaign without the help of a Google rep. And even then, they will generally only add negative brand keywords to help prevent cannibalizing a brand campaign.

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But PMax campaigns can work with shared negative keyword lists if you email Support and ask them to attach one of your shared negative lists to your PMax campaigns.

From that point forward, you can simply add negative keywords to the shared list, and they will instantly take effect on the PMax campaign that is associated with the shared negative list.

While Google doesn’t share full search term details for PMax the way it does for search campaigns, it will show keyword themes under insights. This is one good source for negative keyword ideas.

You should also leverage data from traditional search campaigns you’re running in parallel to PMax.

So mine your traditional search campaigns for negative keyword ideas, for example, when users search for things like ‘free’ ‘login’, etc., that never convert well. Add these as negative keywords to the shared negative list that is attached to your PMax campaign.

9. Use Account-Level Placement Exclusions

When it comes to placements, Google has a predefined report that shows placements where your Performance Max ads were shown.

bild av rapporter i Google Ads som visar vilka placeringar prestanda max annonser visas påSkärmdump från Google Ads, april 2023

 

This is a great starting point to find ideas for placements to exclude.

To exclude placements from PMax, you’ll need to exclude them at the account level, since it’s not possible to add negative placements to individual PMax campaigns. You’ll find this ability under the “Content” section of the Google Ads account.

Google Ads-gränssnittet för att utesluta placeringar på kontonivåSkärmdump från Google Ads, april 2023

 

Just like with negative keyword discovery, consider using your account-wide placement data from all campaigns to find placements to exclude in PMax.

And if you run multiple Google Ads accounts, you can get even better results by finding money-wasting sites and apps in the display network to exclude across all the accounts you manage.

Or when working with a tool provider, they may even be able to help you find negative placement ideas from their own vast network of data.

10. Exclude Non-Performing Geo Locations

Even though PMax uses automated bidding, which doesn’t support geo bid adjustments, you can still leverage geo data in two ways.

You can either exclude locations that don’t drive conversions or use conversion value rules to manipulate the value you report for conversions from different regions so that the bids will get adjusted accordingly.

For example, if you report conversions as soon as someone fills out your lead form, but you know that people in Munich become paying customers at a higher rate than people who fill out the same form from Berlin, you can set a conversion value rule to value conversions from Munich more highly.

This helps automated bidding make the right decisions about what CPC bid will likely have the desired ROAS.

And that leads to our final optimization tip, which is a big one.

11. Feed Correct Conversion Data

AI can only do a good job for your account if you tell it what the goal is.

And the goal should be precise.

It shouldn’t be to get the most conversions possible if your real goal is to drive profits.

Or to get as many leads as possible if you want leads that turn into customers.

Setting up goals correctly can make a huge difference in how well PPC automation will perform.

Updating goals with margin data or with data from your sales team can be a significant effort, and that’s why I’ve listed this as an ongoing optimization strategy rather than an up-front setup task.

Get PMax up and running with the conversions you’ve already been operating with, and then work to constantly enhance that conversion data.

Slutsats

With these 11 tips to optimize your Performance Max campaigns, you can expect better results while also benefiting from the time savings promised by automated campaign types.

There are many more tips I didn’t cover here that you can discover by joining the dialogue online.

And there will be many more tips to come as PPC automation continues to evolve.

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Featured Image: TippaPatt/Shutterstock



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