Here are the 3 main reasons people tag folks, repost, comment, etc. with your professional content on social media:
Does your content align with social expectations?
Mine doesn't. I post to regulate my ADHD. Sharing what I learn brings joy...and I have a degree in sociology & I get to use it.
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Content accessibility PSA:
You might have preferences (ahem, unconscious bias). As a result, something that seems easy to understand or accessible to you is not accessible for other people.
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Here is my foolproof 10 step email management process:
Fear logging into email.
See email.
Stress.
Read email preview.
Snooze email.
Think about email.
Feel bad for ignoring email.
Contemplate taking action. Don’t.
Guilt and shame.
Repeat.
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The concept of Retrieval Augmented Generation (RAG) has been around for as long as machine learning has. Embedding your data in your model prompts is still complex for most marketing departments but it opens the doors for a lot of great things.
Can you imagine having customized product filters on Sephora?
https://bsky.app/profile/sonjakuijpers.bsky.social/post/3lfupz234nc2w
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https://seths.blog/2024/11/further-vs-faster/
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Seth Godin's post Further vs. faster got me thinking.
Pick a race when presenting data to stakeholders:
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I want the ebook, not the nonstop sales emails.
If it's good, I will like your brand. Doesn't mean I'm ready for the sales emails though.
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Sometimes, the numbers are just wrong. But sometimes, it's the way the data is collected, how it's interpreted or how it's presented.
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If you use Chrome for work, read this:
Find this useful? Share it with another Chrome user.
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If you are prompting an LLM for keyword clustering and want to improve the output, include the following:
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Here's what most agencies don't realize about the #EuSearchAwards:
The super early bird deadline ends January 30, 2025.
https://europeansearchawards.com/
https://europeansearchawards.com/
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Continental drift: even dead dinosaurs understood the importance of location, location, location. This visualization helps shine a light on relationships between fossil locations and geological time periods that might not be obvious in raw coordinate data.
https://blog.datawrapper.de/dinosaur-bones-continental-drift/
https://blog.datawrapper.de/dinosaur-bones-continental-drift/
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Data literacy 101: average means 3 different things.
It means mean, median and mode. When we see average by itself, it usually refers to the mean average but you can't know for sure. When you have a lot of outliers, the median does a better job at representing a whole lot of data with one number.
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Stats are not facts, they're interpretations.
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Everyone talks about winning search awards.
I get to peak behind the curtain as a judge this year.
Make great PDF storytelling accessible and you get my attention faster. Tada, here's a tip for agencies entering.
[#]EuSearchAwards.
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Stakeholders often ask for more data but what they actually want is more accurate information.
More data ≠ more accuration information
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The top-grossing film list of 2024 screams creative bankruptcy meets second-screen viewing habits.
18 of the top 20 films were either sequels or IP spin-offs.
Now that I said this, have you heard of the Sequelisers? They do it better.
https://www.sequelisers.com/
https://www.sequelisers.com/
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The best data visualization is the one that makes your audience go "holy shit, now I get it" in under 5 seconds.
https://www.independent.co.uk/news/uk/politics/brexit-cost-statistics-numbers-five-years-eu-b2667149.html
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Data storytelling is what helped me from "I told you so" to being actually asked why things would be a good or bad idea before they happen.
It's the bridge between being technically right and actually influencing the outcome.
Took me quite a while to figure out these two are not the same.
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It’s not 2015 anymore. What are you doing differently in your job in 2025?
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