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Google Search Console Geotargeting Can Hurt Search Rankings

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Google Search Console Geotargeting Can Hurt Search Rankings

Utilizing Google Search Console’s international targeting feature, also known as “geotargeting,” can hurt search rankings if you’re trying to reach a wide audience.

This topic is discussed in during the Google Search Central SEO office hours hangout recorded on December 31.

An SEO named Aleem Bawany joins the livestream to ask Google Search Advocate John Mueller why a smaller sister site is outranking his main site.

Bawany says the main site publishes news content for a general audience, which is sometimes republished on the sister site.

Despite the main site being the source of the news, it’s the smaller site that achieves more favorable rankings.

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After looking at the site, Mueller says this could be happening because of the international targeting settings in Search Console.

See Mueller’s full response in the section below.

How Geotargeting Can Negatively Impact Rankings

Mueller personally looked at the site and ruled out any major issues that could hold the site back in search results, such as manual penalties or spammy links.

What he did happen to notice is the site’s international targeting settings in Search Console are set up for Pakistan.

That’s fine if the primary goal is to rank in Pakistan, but it could adversely impact rankings in other countries.

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Mueller states:

“The one thing I did notice is that you have geotargeting set up in Search Console for Pakistan. I don’t know if that’s by design, if that’s something you’re trying to do. If you want to make a general English-speaking news website, then probably it makes sense to turn off the geotargeting. So that might be something that can help you.”

If you want to target a worldwide audience with your website, Mueller says you should “definitely” turn off international targeting in Search Console.

“When it comes to search, if you want to target countries other than Pakistan, like a general English-speaking news site, then I would definitely turn that off. Because that can have an effect there in that it really focuses on Pakistan and then slightly focuses less on other countries.”

Bawany follows up by asking Mueller how long it would take for the change to be reflected in Google’s search results.

Mueller says it could take anywhere from a week to a couple of months.

Since the site in question publishes news content, it’s likely the change will be seen in search results faster than with other types of sites.

“My guess is it will be anywhere from a week or two, to maybe a month or two. So that’s kind of the timeframe that I suspect it takes for something like the geotargeting setting to change.

With regards to a news website, I suspect it’ll be a little bit faster than usual, just because with a news website we would focus on the newer content and with the newer content we would see the setting very quickly.

So probably more on the shorter side for news websites, but I don’t know all of the systems that are involved with geotargeting settings changes.”

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To listen to the full discussion, see the video below:


Featured Image: Screenshot from YouTube.com/GoogleSearchCentral, January 2022.




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Google Updates Search Console Video Indexing Report

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Google Updates Search Console Video Indexing Report

Google’s updated Search Console Video indexing report now includes daily video impressions and a sitemap filter feature.

  • Google has updated the Search Console Video indexing report to provide more comprehensive insights into video performance in search results.
  • The updated report includes daily video impressions, which are grouped by page, and a new sitemap filter feature to focus on the most important video pages.
  • These updates are part of Google’s ongoing efforts to help website owners and content creators understand and improve the visibility of their videos in search results.



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Bing Revamps Crawl System To Enhance Efficiency

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Bing Revamps Crawl System To Enhance Efficiency

According to a recent study by Bing, most websites have XML sitemaps, with the “lastmod” tag being the most critical component of these sitemaps.

The “lastmod” tag indicates the last time the webpages linked by the sitemap were modified and is used by search engines to determine how often to crawl a site and which pages to index.

However, the study also revealed that a significant number of “lastmod” values in XML sitemaps were set incorrectly, with the most prevalent issue being identical dates on all sitemaps.

Upon consulting with web admins, Microsoft discovered that the dates were set to the date of sitemap generation rather than content modification.

To address this issue, Bing is revamping its crawl scheduling stack to better utilize the information provided by the “lastmod” tag in sitemaps.

This will improve crawl efficiency by reducing unnecessary crawling of unchanged content and prioritizing recently updated content.

The improvements have already begun on a limited scale and are expected to roll out by June fully.

Additionally, Microsoft has updated sitemap.org for improved clarity by adding the following line:

“Note that the date must be set to the date the linked page was last modified, not when the sitemap is generated.”

How To Use The Lastmod Tag Correctly

To correctly set the “lastmod” tag in a sitemap, you should include it in the <url> tag for each page in the sitemap.

The date should be in W3C Datetime format, with the most commonly used formats being YYYY-MM-DD or YYYY-MM-DDThh:mm:ssTZD.

The date should reflect the last time the page was modified and should be updated regularly to ensure that search engines understand the relevance and frequency of updates.

Here’s an example code snippet:

<?xml version=”1.0″ encoding=”UTF-8″?>

<urlset xmlns=”http://www.sitemaps.org/schemas/sitemap/0.9″>

   <url>

      <loc>http://www.example.com/</loc>

      <lastmod>2023-01-23</lastmod>      

   </url>

Google’s Advice: Use Lastmod Tag After Significant Changes Only

Google’s crawlers also utilize the “lastmod” tag, and the suggestions on using it by both major search engines are similar.

Google Search Advocate John Mueller recently discussed the lastmod tag in the January edition of Google’s office-hours Q&A sessions.

It’s worth noting that Google recommends only using the “lastmod” tag for substantial modifications, which was not mentioned in Microsoft’s blog post.

Changing the date in the lastmod tag after minor edits can be viewed as an attempt to manipulate search snippets.

In Summary

Microsoft’s recent study and efforts to improve the utilization of the “lastmod” tag in sitemaps will result in more efficient and effective webpage crawling.

Publishers are encouraged to regularly update their sitemaps and lastmod tags to ensure that their pages are correctly indexed and easily accessible by search engines.


Featured Image: mundissima/Shutterstock

Source: Microsoft



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Everything You Need To Know

Now more than ever, marketing and sales leaders are taking a critical look at where to allocate their resources and how to staff their teams.

Attribution modeling is one of the best tools for providing clear guidance on what’s working, and what isn’t.

What Is Marketing Attribution?

Marketing attribution is the approach to understanding how various marketing and sales touchpoints influence the prospects’ move from visitor, to lead, to customer.

By implementing attribution in your organization, you’ll have a better idea of:

  • Which channels are most influential during different phases of the sales cycle.
  • Which content formats are more or less impactful in your marketing or sales enablement efforts.
  • Which campaigns drove the most revenue and return on investment (ROI).
  • The most common sequence of online or offline events that prospects interact with before becoming a customer.

Why Is Attribution Important In Marketing?

Analyzing attribution data provides you with an understanding of which marketing, sales, and customer success efforts are contributing most effectively and efficiently toward revenue generation.

Attribution modeling helps you identify opportunities for growth and improvement, while also informing budget allocation decisions.

With accurate attribution models, marketers are able to make more informed decisions about their campaigns, which has allowed them to increase ROI and reduce wasted budgets on ineffective strategies.

What Are The Challenges Of Marketing Attribution?

Developing a perfect attribution model that guides all of your decisions is a pipedream for most marketers.

Here are five challenges that result in inconclusive data models or total project abandonment:

Cross-Channel Management

This is a common challenge for enterprise marketers who have web assets across multiple websites, channels, and teams.

Without proper analytics tagging and system settings configuration, your web activities may not be tracked accurately as a visitor goes from one campaign micro-site to the main domain.

Or, the prospect may not be tracked as they go from your website to get directions to then go to your physical storefront to transact.

Making Decisions Based On Small Sample Sizes

For smaller trafficked websites, marketers using attribution data may not have statistically significant data sets to draw accurate correlations for future campaigns.

This results in faulty assumptions and the inability to repeat prior success.

Lack Of Tracking Compliance

If your attribution models rely on offline activities, then you may require manual imports of data or proper logging of sales activities.

From my experience in overseeing hundreds of CRM implementations, there is always some level of non-compliance in logging activities (like calls, meetings, or emails). This leads to skewed attribution models.

Mo‘ models, mo’ problems: Each analytics platform has a set of five or more attribution models you can use to optimize your campaigns around.

Without a clear understanding of the pros and cons of each model, the person building the attribution reporting may not be structuring or configuring them to align with your organizational goals.

Data Privacy

Since GDPR, CCPA, and other privacy laws were enacted, analytics data continues to get murkier each year.

For organizations that rely on web visitors to opt-in to tracking, attribution modeling suffers due to the inability to pull in tracking for every touchpoint.

How Do You Measure Marketing Attribution?

Measuring attribution is all about giving credit where it is due. There are dozens of attribution tools out there to assign credit to the digital or offline touchpoint.

Attribution measurement starts with choosing the data model that aligns with your business goals.

Certain attribution models favor interactions earlier on in the customer journey whereas others give the most credit towards interactions closer to a transaction.

Here is a scenario of how to measure marketing attribution in a first-touch attribution model (we’ll get to the different models next):

A prospect comes to the website through a paid search ad and reads the blog.

Two days later, she comes back to the site and views a couple of product pages.

Three days later, she comes back through an organic listing from Google and then converts on the site by signing up for a discount coupon.

With a first-touch attribution model, the paid search ad will get 100% of the credit for that conversion.

As you can see, choosing the “right” model can be a contentious issue, as each model gives a percentage of credit to a specific interaction or placement along the path toward becoming a customer.

If your business relies on paid search, SEO, offline, and other channels, then likely one of the individuals working on one of those channels is going to look like the superhero, whereas the other marketers will look like they aren’t pulling their weight.

Ideally, when you are choosing an attribution tool, you’ll be able to build reports that allow you to compare various attribution models, so you have a better understanding of which channels and interactions are most influential during certain time periods leading up to conversion or purchase.

What Are Different Marketing Attribution Models?

Marketers can use various marketing attribution models to examine the effectiveness of their campaigns.

Each attribution tool has will have a handful of models you can optimize campaigns and build reports around. Here is a description of each model:

First-Click Attribution

This model gives credit to the first channel that the customer interacted with.

This model is popular to use when optimizing for brand awareness and top-of-funnel conversions/engagement.

Last-Click Attribution

This model gives all of the credit to the last channel that the customer interacts with.

This model is useful when looking to understand which channels/interactions were most influential immediately before converting/purchasing.

Last-click attribution is the default attribution model for Google Analytics.

Multi-Touch/Channel Attribution

This model gives credit to all of the channels or touchpoints that the customer interacted with throughout their journey.

This model is used when you are looking to give weight evenly or to specific interactions.

There are variations of the multi-touch model including time-decay, linear, U-shaped, W-shaped, and J-shaped.

Customized

This model allows you to manually set the weight for individual channels or placements within the customer journey.

This model is best for organizations that have experience in using attribution modeling, and have clear goals for what touchpoints are most impactful in the buyers’ journey.

Marketing Attribution Tools

There are several different tools available to help marketers measure and analyze marketing attribution. Some attribution tools are features within marketing automation platforms or CRM systems like Active Campaign or HubSpot.

Others are stand-alone attribution tools that rely on API or integrations to pull in and analyze data, like Triple Whale eller Dreamdata.

As you are evaluating tools, consider how much offline or sales data needs to be included within your attribution models.

For systems like HubSpot, you can include sales activities (like phone calls and 1:1 sales emails) and offline list import data (from tradeshows).

Other tools, like Google Analytics, are not natively built to pull in that kind of data and would require advanced development work to include these activities as part of your model.

(Full disclosure: I work with HubSpot’s highest-rated partner agency, SmartBug Media.)

Additionally, if you need to be able to see the very specific touchpoints (like a specific email sent or an ad clicked), then you need a full-funnel attribution system that shows this level of granularity.

Attribution modeling is a powerful tool that marketers can use to measure the success of their campaigns, optimize online/offline channels, and improve customer interactions.

It is important, though, to understand attribution’s limitations, the pros and cons of each model, and the challenges with extracting conclusive data before investing large budgets towards attribution technology.

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Featured Image: Yuriy K/Shutterstock



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