INBOX INSIGHTS: Niche Content, Accessibility, Big Data Analytics (7/27) :: View in browser
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Niche Content for the Customer Journey
Do you create niche content? Do you know your customer journey? Have you ever thought of combining the two so that you’re creating niche content for the customer journey?
This got me thinking about content planning. In an ideal world, we could be everything to everyone. In the real world, we’re trying to reach our audience at a specific point in their customer journey when they need our content the most. This could be awareness, purchase, or every stage between. Thus demonstrating that you cannot be everything to everyone. Your awareness content won’t hit the same as the hard sell.
So - why can’t we do both? Why can’t we create niche content and mass appeal content?
You can. In my experience, companies that lean toward mass appeal content do so because they don’t have a great grasp of their customer journey. They don’t know the timing or the channels. It’s also easier to create mass appeal content (but that’s a topic for another time). What happens is they mismatch platforms and messaging and don’t provide specific information. It can be difficult to pinpoint when someone is at a specific stage of your customer journey if they are not live on your website.
I just had an interesting conversation with my friend Brooke Sellas from B Squared Media and she is working on this really cool measurement concept that tags social conversation for different customer journey stages. And it got me thinking - is this the solution I didn’t know I needed? Spoiler - the answer is yes.
When we (Trust Insights) do an attribution report we’re limited to understanding what comes into our website through different marketing channels. This is useful because we can make sure we’re reaching people at their appropriate customer journey stage and create content around that. The challenge is that perhaps the majority of our email subscriber list is at the engagement stage, but not everyone is. We don’t know that for certain with our reporting. So we throw in some language that sells our services. We make sure that we give context to who we are and what we do. We’re back to trying to be everything to everyone. And not everything happens on our website. To assume so would be incorrect.
And limiting yourself to only what happens on your site is reactive. I want to be more proactive and in the moment. I want to reach people before they even know we exist.
That’s where Brooke’s work is useful. She’s using social listening software and training the system to identify conversations around specific keywords and topics for different customer journey phases.
It blew my mind. It’s so simple, yet so genius.
What this does is allow companies to create that niche content for different audience segments and have it at the ready. Instead of broadcasting “This is what we do” on social media to everyone all the time, you can narrow down your focus and share that message with people who are ready to hear it. You’re not guessing. You’re cutting out the noise.
Like I said, mind blown.
This brings us to the “so what” this week. You should create broad and niche content. Broad content is for everyday use. It’s evergreen, it’s for anyone. Niche content is for select groups at select times. You need both in your arsenal. Start by figuring out what are the stages your customers go through on your sales funnel. Those are your customer journey phases. Then take a look at what they are doing in those phases. What do they typically engage with on your website? What kinds of questions do they ask? That will help you understand what they care about.
Think about it like this. If a prospect comes to you and says, “I’m interested in your blue widget, what are the technical requirements?” you want to have an FAQ ready. If all you have is a company overview, you’ve missed an opportunity. Don’t limit yourself to what happens on your website and don’t overlook the power of social listening.
If you want to check out Brooke’s new book, you can find it here.
Are you using social listening to reach people?
Come tell me about it in our free Slack group, Analytics for Marketers.
- Katie Robbert, CEO
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In this week’s episode, Katie and Chris walk through what big data analytics are. What criteria separates regular data and big data? What are the four Vs of big data? How do big data analytics play a role in marketing analytics? Why don’t more marketers use big data and big data analytics to improve marketing? Tune in to find out!
Watch/listen to this episode of In-Ear Insights here »
Last week on So What? The Marketing Analytics and Insights Live show, we dug into the differences between Bing and Google when it comes to SEO. Catch the replay here »
This Thursday at 1 PM Eastern, we’ll be digging in accessibility and website performance. Are you following our YouTube channel? If not, click/tap here to follow us!
Need a reminder? Click here for a calendar appointment:
Here’s some of our content from recent days that you might have missed. If you read something and enjoy it, please share it with a friend or colleague!
- What is First Party Data, Second Party Data, and Third Party Data?
- So What? Bing Webmaster Tools
- Using topic modeling to determine marketing channels
- {PODCAST} In-Ear Insights: Marketing Measurement Strategy
- INBOX INSIGHTS, July 20, 2022: Behind Buzzwords, Bing vs.Google, Measurement Strategy
- {PODCAST} In-Ear Insights: What is Big Data Analytics?
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In this week’s Data Diaries, let’s tackle what could potentially be a controversial question: does website accessibility improve/affect SEO?
Why would this question be controversial? Because the answer could affect how some folks might approach their website optimization. If the answer is a flat out no, then accessibility might fall to the “nice to have” category on to-do lists.
To be clear, accessibility should never be on the “nice to have” lists because making a site accessible means appealing to more customers, period. For example, closed captions and subtitles aren’t just for folks with hearing impairments; they also make content more accessible for everyone including neurodivergent folks. If our websites are accessible to more people, it amplifies the impact of our marketing. According to the US CDC, approximately 10% of Americans have either a hearing or vision disability; if our sites lack accessibility, we automatically exclude potentially 10% of our future customers. You don’t need to be a data scientist to know that losing 10% of your customer base off the bat is a bad thing.
So, with that caveat out of the way, how would we determine whether accessibility impacts our SEO? We’d first need some objective way of measuring our SEO. Google Search Console data will do that for us; the number of times our site shows up in search is a good proxy for how relevant Google thinks we are. Part of that relevance is having a site that is easily crawled and indexed; accessibility features like alt tags on images, closed captions in video and audio, and use of W3C HTML standards all make accessibility software work well AND make our sites easier for Google’s crawlers to ingest.
Once we have a target outcome, we need to obtain accessibility data. Using IBM’s free Able Toolkit, we scanned the entire Trust Insights website and tallied up the number of identified errors per page, then merged that data with our Search Console data and data from the AHREFS SEO tool.
Let’s first look at a basic correlation:
What we see is a series of variables above the line of statistical significance such as referring domains, referring pages, backlinks, etc. - all known factors for what contributes to a site showing up in Google Search. Violations of accessibility guidelines is under the line of statistical significance in a simple correlation test. This doesn’t mean it has no impact, but any impact is has isn’t strong enough to be a very clear signal.
Let’s extend this analysis another step and use the machine learning library XGBoost to analyze our data and build a complex model for what drives impressions. Because of the way XGBoost’s models work, we can extract something called variable importance or feature importance. Without delving into the technical architecture of XGBoost, variable importance tells us what variables were used the most to construct an accurate model of our data. The more a variable is used, the more important and relevant it is to the outcome.
What we see above shows that violations of accessibility rules is the third most relevant variable in our model. While none of the variables are a “smoking gun” for what determines Google’s judgements about appearance in search, this isn’t a surprise. Google itself has said there are more than 200 different variables that go into the core search algorithm, many of which we do not have access to (such as user behavior). With the data we have, this is about as good an analysis as we can get.
What’s our takeaway here? Accessibility has to be part and parcel of our overall website optimization toolkit. Not only is it ethically and morally just good citizenship, it is also part and parcel of what we’re able to observe as influences to Google’s search algorithms.
- New! Case Study: Exploratory Data Analysis and Natural Language Processing
- Case Study: Google Analytics Audit and Attribution
- Case Study: Natural Language Processing
- Case Study: SEO Audit and Competitive Strategy
This is a roundup of the best content you and others have written and shared in the last week.
SEO, Google, and Paid Media
- Why Having A User-First Approach to SEO Is Important
- Round-up of the Latest Advice from Google Search Central: July 2022 SEO Office Hours via Deepcrawl
- Use Proximity to Determine Local SEO Ranking Potential via Portent
Social Media Marketing
- How To Go Live On TikTok: A Step By Step Guide
- People are not double-tapping Instagrams TikTok obsession
- Now all your new Instagram videos are Reels via The Verge
Content Marketing
- Triple Take: How to Make B2B Content Marketing More Influential, Authentic, and Credible
- 13 Ways to Increase the ROI of Your Content Marketing via Martech Zone
- Stop Under Promising and Start Delivering Better Content Products
Data Science and AI
- You Ask, I Answer: First Steps With New Data?
- You Ask, I Answer: Model and Algorithm Selection?
- You Ask, I Answer: Spotting Trends and Hits?
Are you a member of our free Slack group, Analytics for Marketers? Join 2400+ like-minded marketers who care about data and measuring their success. Membership is free - join today. Members also receive sneak peeks of upcoming data, credible third-party studies we find and like, and much more. Join today!
We heard you loud and clear. On Slack, in surveys, at events, you’ve said you want one thing more than anything else: Google Analytics 4 training.
We heard you, and we’ve got you covered. The new Trust Insights Google Analytics 4 For Marketers Course is the comprehensive training solution that will get you up to speed thoroughly in Google Analytics 4.
What makes this different than other training courses?
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- You’ll learn how to determine if a migration was done correctly, and especially what things are likely to go wrong
- You’ll even learn how to hire (or be hired) for Google Analytics 4 talent specifically, not just general Google Analytics
- And finally, you’ll learn how to rearrange Google Analytics 4’s menus to be a lot more sensible because that bothers everyone
With more than 5 hours of content across 17 lessons, plus templates, spreadsheets, transcripts, and certificates of completion, you’ll master Google Analytics 4 in ways no other course can teach you.
Click/tap here to enroll today »
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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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