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Is it possible to disappear the links in the popular checker backlinks
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Such as: ahrefs, moz, majestic
that my opponents didn't know the links I was build?

And is there a good tool that shows me the backlinks that My opponents building backlinks
If you're asking if you want popular backlink checkers to not show links for your domain, that's not possible. You can, however, block their crawlers from the domains you build backlinks. Just as people usually do with PBNs.

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The more pages clients have to go through to reach their ideal product/content, the greater the risk for mental fatigue.

While there are pros and cons to all forms of pagination, Ghost Block far and away did the best job of honoring user and crawl behaviors.

ghost block pagination

Here are the outcomes of all pagination formats:

all results for pagination

10. The User Is the Query

Dawn Anderson’s perspective on query analysis and audience intent is empowering for SEO and PPC professionals alike.

BERT and Ted

Way ahead of the curve on BERT, she empowers us to think about the choices we present our prospects and how much we are playing into their filters of interest.

In particular, she challenged us to think about:

The impact of multi-meaning words like “like” and how context of timing, additional words, and people speaking them influences their meaning.
How much users need to “teach” search engines what they mean most often via clicking on wrong answers.
When head terms (“dress” “shoes” “computer”) can have super transactional intent, versus being high up in the funnel.
For example, “Liverpool Manchester” is most often a travel query, but when football is on, it turns into a sports query.

timing and context influencing the query

Anderson encourages us to focus on the future – specifically:

Shifting away from text-heavy to visual enablement. We need to come from a place of curation (for example, hashtags) as opposed to verbatim keyword matching.
Shifting away from query targeting and opting more into content suggestions based on persona predictions
Shifting away from answers and weaving ourselves into user journeys (nurturing them to see us a habitual partner rather than a one-off engagement).
This session had the most cross-over implications for PPC – particularly because we have been shifting toward audience-oriented PPC campaigns for the past few years.

11. Ranking Factors Going Casual

I have so much love in my heart for a fellow digital marketer who sees board games as a path to explain and teach SEO/PPC.

This session gave a candid and empowering view on why we need to think critically about SEO studies.

causation vs correlation

Micha Fisher-Kirshner reminds us to be:

Consistent with our data collection and be honest with ourselves on sample size/statistical significance.
Mindful of positive and negative interactions and what impact they can have on our data sets.
Organized in our categorizations and quality checks.
My favorite takeaway (based on Mysterium) is to be mindful of the onset of any study and be sure all the necessary checks are in place. Much like the game, it’s possible to set one’s self up to have a “no win” condition simply because we didn’t set ourselves up

correctly.

I also have to give Fisher-Kirshner a shout out for coming at this from a place of positivity, and not “outing” folks who mess up these checks. Instead, he simply inspired all of us to chase better causation and correlation deduction.

12. Advanced Analytics for SEO

tech seo boost advanced analtics panel

Analytics is the beating heart of our decisions – and getting to learn from this panel was a treat.

Our cast of players included:

Dan Shure – Evolving SEO (host)
Aja Frost – HubSpot
Colleen Harris – CDK Global LLC
Jim Gianoglio – Bounteous
Alexis Sanders – Merkle
While each panelist had their own unique perspective, the overarching suggestion is sharing data between departments and working together to combat anomalies.

Gianoglio reminds us to be mindful of filters that might distort data and never allow a client to force us to a single guiding metric.

Frost shared her skepticism that analytics will be our single source for truth in the emerging GDPR and CCPA world as well as empowering us to explore data blending if we aren’t as confident in SQL to explore data blending.

Harris encouraged us to be pragmatic and realistic about data sources: if the data seems off, we should explore it! Analytics is a means to uncover data distortion.

Sanders encourages us to pull revenue numbers and marry analytics with tools like Screaming Frog and SEMrush to create true attribution for SEO’s impact on profit.

13. Crawl Budget Conqueror

Jori Ford outlined a really pragmatic approach to crawl budgets: honor your money pages and account accordingly!

Her four-step approach is:

Determine the volume of pages and only use the sitemap to correlate if it’s an optimized site map.
Understand which pages are being crawled naturally via custom tracking and log file analyzers (Botify, Deepcrawl, OnCrawl, etc.).
Assess the frequency of pages crawled and how many pages are getting crawled frequently/infrequently.
Segment by percentage type: page type, crawl allocation,  active vs. inactive, and not crawled.
Understandably, we may still hit an insurmountable crawl budget need. Her advice on pruning low-profit pages and deindexing dupes.

how to figure out crawl budget

14. Leveraging Machines for Awesome Outreach

Gareth Simpson invites us to explore tasks we can delegate to AI and machine learning. However, before we can, we need to have practical workflows to build machine learning into our day.

Here are the paths to machine learning:

Gather data from sources.
Cleaning data to have homogeneity.
Model building/Selecting the right ML algorithm.
Gaining insights from the model’s results.
Data visualization: transforming results into visual graphs.
Testing machine learning in prospecting might seem crazy (the human element of the relationship is crucial). Simpson helps us uncover delegatable tasks:

use cases for machine learning in pitching

How to Optimize Your Paid Search Keyword List in 3 Steps
Smart recommendations to make Google Ads profitable
Opteo continuously monitors Google Ads accounts for statistically significant patterns. When something comes up, Opteo suggests an improvement backed up by real data. Opteo also helps monitor performance trends, track spending & get alerts when you need them.

While PPC automation is all the rage, one of the best ways to improve account performance is to optimize your keyword lists – manually.

Not in the habit of optimizing? It might sound like a vague buzzword, so let’s get clear on what we mean. My favorite working definition of optimization is:

“Doing more of what works, and less of what doesn’t.”

While it might be tempting to scale up or down with a script, it’s not the best approach – at least not at first.

Keywords aren’t “profitable” or “unprofitable” by themselves. As we reviewed in the prequel to this article, How to Do PPC Keyword Research in 2019, keywords and search terms are just indicators of audience intent.

Getting clicks on a keyword that didn’t drive conversions doesn’t mean you should ditch the keyword.

It might mean you need to make improvements to your customer experience, like your offer, messaging, landing page, ads or other targeting.

How to Optimize Your Paid Search Keyword List in 3 Steps

As you go through these steps of optimizing your keyword list, you’ll uncover new areas to fix your account for even better performance.

Getting Started: Do This Before You Optimize

When you optimize smartly, you’re looking at what actually drives results.

Google Ads has hundreds of metric and segmenting combinations, so it’s easy to find highs and lows in the performance of anything you look at.

As you review your account, be sure to optimize for signal (useful information) rather than noise (clutter or irrelevant data).

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