Spring Cleaning, 3 Year Anniversary, Content Republishing
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Spring Cleaning Your Marketing Data
As the weather warms up, our thoughts naturally turn to digging out of the winter. Around our homes, that means spring cleaning – getting rid of junk, sending things off to charity donations, eliminating things that don’t help us. In business and marketing, much of the same is true.
With upcoming changes in things like ad tracking capabilities, Google Analytics 4, and the ever-evolving MarTech landscape, part of our spring cleaning has to be taking inventory of what we have and getting rid of what we don’t need any more.
What kinds of spring cleaning? Let’s talk data. Every bit of data you have that goes unused is a liability. At the very least, it takes up space and costs you money; at worst, it’s a massive security risk if you’re ever hacked. So, what specific tasks should we be considering?
Clean up access. Let’s say you’re in charge of your marketing automation system, or your Google Analytics account, or your sales CRM. Without looking, can you name the people who should have access to it? Now, go look in the user management section of your MarTech tools. How many people are in there that shouldn’t be – former employees, agencies you no longer work with, people completely unknown to you? Verify who should and should not have access to the crown jewels – your data – and remove anyone who doesn’t belong as quickly as possible.
Clean up tagging and tracking. If you use services like Google Tag Manager or other tagging tools, log in and see what tags are running on your digital properties. Are you collecting data for tools that no longer exist? Are you sending data to companies you shouldn’t be? Is there extra code running that’s slowing down your website or conflicting with other software also running? Verify what’s supposed to be running, and get rid of anything that’s no longer in use.
Clean up mailing lists and databases. It’s well-established by now that engagement rates matter in email marketing for deliverability. Send an email that no one opens, and services like GMail will punish you by reducing your inbox visibility. Send enough email to non-working addresses, and you end up on spam-blocker lists. Take the time once a quarter to clean your list. Remove old addresses. Process your bounces, and inspect a sample of them by hand. Ask subscribers to confirm their details. The less bad mail you send, the easier it is for your good mail to get through.
This is by no means a comprehensive list of everything we should be cleaning on a regular basis, but these are important first steps towards making sure we’re working with the best data possible, in the most secure ways available to us.
In this week’s In-Ear Insights, Katie and Chris discuss the lessons learned after three years of being in business. What things went well? What things surprised us? What would we do differently? What’s on the horizon? For entrepreneurs and the curious, lots of takeaways about building a company from scratch.:
Watch/listen to this episode of In-Ear Insights here »
This week, tune into So What? The Marketing Analytics and Insights Live Show on Thursday at 1 PM Eastern as we discuss off-the-shelf attribution models in software like Google Analytics. You’ll learn what the most common types are, when they apply, and what to do about attribution in the new Google Analytics 4. Catch us live on our YouTube channel.
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In this week’s Rear View Mirror, we dig into the latest metrics on content republishing. How much content are we republishing, and does republishing work? In past issues, we’ve examined the art of republishing content and previously concluded that it does generate results, but not as well as original content. Let’s see what 2021 holds thus far. First, the overall content publishing trends:
What we see here is a fairly consistent amount of content republising until about the end of February, after which original content – content never published previously – drops off dramatically, from a high in February of almost 600,000 pieces of content in a day to less than 50,000 pieces of content a day in mid-March. Meanwhile, republished content rises from around 50,000 pieces a day to over 100,000 pieces of content a day in mid-March.
Why is this the case? We don’t know; there doesn’t appear to be an obvious explanation for the overall dramatic decline in content.
When we look at the content performance for the top 5,000 articles per week over the same time period, we see some interesting performance:
What we see is republished content outperforms its original content peers, in some cases by considerable amounts. The average republished piece of content earns 1,000 more visits within the same time period as new content, and has larger numbers of shares in the same time period.
So, what’s the key takeaway here? Two things.
First, the unusual deficit of original content could be an opportunity; check using your SEO tool of choice to determine if your industry/niche is experiencing an original content lull, and if so, fill it while you can.
Second, republishing content is now delivering stronger results, so don’t be afraid to improve and republish content over time to supplement your original content.
Methodology: Trust Insights used AHREFS data about content with the most individual page traffic, published in the English language, for the query terms “a OR and OR the”, excluding homepages and explicit results. The timeframe of the data is January 1, 2021 – March 20, 2021. The date of study is March 22, 2021. Trust Insights is the sole sponsor of the study and neither gave nor received compensation for data used, beyond applicable service fees to software vendors, and declares no competing interests.
- {PODCAST} In-Ear Insights: Business Development and Sales
- Marketing Analytics, Data Science and Leadership March 16, 2021 Week In Review
- So What? 3 Easy Wins in Google Analytics 4 via Trust Insights Marketing Analytics Consulting
- So What? Influencer Identification Walkthrough
- So What? Podcast advertising best practices
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In this 90-minute on-demand workshop, learn what data science is, why it matters to marketers, and how to embark on your marketing data science journey. You’ll learn:
- How to build a KPI map
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- Basics of centrality, distribution, regression, and clustering
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Shiny Objects is a roundup of the best content you and others have written and shared in the last week.
Data Science and AI
- Google AI Blog: Leveraging Machine Learning for Game Development
- The Next-Level of Operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments via insideBIGDATA
- Marketing AI: Interpretability and Explainability
SEO, Google, and Paid Media
- New resources for video SEO via Google Search Central Blog
- LSI Keywords: What Are They and Why Do They Matter in SEO? via Moz
- 8 Useful Python Libraries for SEO & How To Use Them
Social Media Marketing
- Facebook wants to read your mind, but its not as terrifying as it sounds BGR
- How to Use Facebook Stories for Business: The Complete Guide
- The Facebook Boost Post Button: How to Use it and Get Results
Content Marketing
- Four Ways to Capture Audience Attention With Applicable Content Spin Sucks
- How to produce high quality written content via Brainlabs
- Branded Integrations in SVOD Content are Reaching Unique TV Audiences Nielsen
Join the Club
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Featured Partners
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- Hubspot CRM
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- Techsmith Camtasia and Snagit Media Editing
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- Otter AI transcription
- Our recommended media production gear on Amazon
Read our disclosures statement for more details.
Get Back To Work
We’ve changed things up in Get Back To Work, and we’re looking at the top 310 metro areas in the United States by population. This will give you a much better sense of what the overall market looks like, and will cover companies hiring in multiple locations. Get all the data in our Slack group!
Upcoming Events
Where can you find us in person?
- MarketingProfs B2B Forum, April 2021, virtual
- HighEdWeb Analytics Summit, April 2021, virtual
- ContentTech Summit, April 2021, virtual
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Stay In Touch
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Some events and partners have purchased sponsorships in this newsletter and as a result, Trust Insights receives financial compensation for promoting them. Read our full disclosures statement on our website.
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Trust Insights (trustinsights.ai) is one of the world's leading management consulting firms in artificial intelligence/AI, especially in the use of generative AI and AI in marketing. Trust Insights provides custom AI consultation, training, education, implementation, and deployment of classical regression AI, classification AI, and generative AI, especially large language models such as ChatGPT's GPT-4-omni, Google Gemini, and Anthropic Claude. Trust Insights provides analytics consulting, data science consulting, and AI consulting.
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