Data in the Headlights, May 2018

Change is in the air as we roll into the summer. This month, we’ve got brand new data from over 8 million Facebook posts to share with you – what’s working on Facebook right now. You’ll find that in our Bright Idea just below.

We’re also booking miniature mastermind groups for four people or less with our Table for Four Consultations, so if you’ve got questions you need answers to right now, hop on the phone with us for an hour.

Now, let’s dig into the data…

In this issue’s Bright Idea, we dig into Facebook data. One of the key questions marketers have is what’s driving reach on Facebook. Using over 8 million Facebook posts from more than 8,000 Pages since July 1, 2017, we analyzed 3 periods – before the anti-clickbait News Feed change in December, the December – January 2018 period, and post-January friends and family News Feed update.

What did we find? With each successive update, we see secondary indicators changing as to what drives reach, but the core indicators remain unchanged. Let’s take a look at a subset chart to determine what impacts post views:

The red outlined area are the core engagement metrics Facebook has had since its early days: likes, comments, and shares. The less whitespace in a column, the more important a metric is; blue areas are areas that are more important since the January 11 update. Light red areas indicate diminished importance of a metric. We see that likes and shares have diminished a little in the last 6 months in terms of driving views; comments remain the strongest predictor in the core metrics.

In the green outlined area are basic content metrics – post length and post sentiment. We see that post length has increased slightly in importance, whereas sentiment has increased significantly in importance. Note that sentiment is any kind of emotional valence/emotional appeal at all – positive or negative.

The blue outlined area gives us a hint about that sentiment; haha and love (positive Reactions) have diminished in importance, while sad and wow have increased in importance. Angry still remains a constant, reasonably strong predictor of post views.

When we put all these predictor metrics together, it paints a picture that accurately describes Facebook’s stated intent: they want more comments, more engagement, more emotional appeal with their audiences. What’s interesting is that they care about the emotional provocation in general, but not specific emotions, and we see those emotions tilting towards the negative (based on Reactions).

What should you do with your Facebook content strategy? It’s all about the conversations. Create content that appeals to strong emotions and incites comments and conversations. Don’t worry about length – it’s okay for posts to go longer if you need the space to write great, thought-provoking stories.

Methodology

Sample sizes:

• Pre-December posts: 4,513,022 posts from 8,632 Pages
• December-January posts: 502,200 posts from 8,632 Pages
• Post-January 11 posts: 3,329,480 posts from 8,632 Pages

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• 24 clicks: FIR #133: Narcissism, Consumerism, and Activism via FIR Podcast Network
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• 21 clicks: Building Smarter Brand Experiences Panel @ THINK 2018 via IBM iX
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• 6 clicks: Get executive buy-in for your content marketing strategy via Ceralytics

Social Media Marketing

• 915 clicks: Who Has More of Your Personal Data Than Facebook? Try Google via WSJ
• 429 clicks: How Facebook Chatbots Can Improve Your Social Strategy
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Media Landscape

• 353 clicks: 4 Cool Competitive Analysis Tools Every Digital Marketer Should Use
• 303 clicks: How to Boost Your Blog Revenue Fast Using One Dead-Simple Strategy
• 55 clicks: 20th Century Fox’s digital video advertising strategy via Think with Google

Tools, Machine Learning, and AI

• 1217 clicks: Artificial intelligence will be worth $1.2 trillion to the enterprise in 2018 via ZDNet
• 1119 clicks: AI researchers allege that machine learning is alchemy via Science via AAAS
• 487 clicks: Sizing the potential value of AI and advanced analytics via McKinsey & Company

Analytics, Stats, and Data Science

• 788 clicks: Top 5 GitHub Repositories and Reddit Discussions for Data Science & Machine Learning (April 2018)
• 491 clicks: Web Scraping, Regular Expressions, and Data Visualization: Doing it all in Python
• 118 clicks: Find the rotten insights dragging down your business via IBM Big Data & Analytics Hub

SEO, Google, and Paid Media

• 1957 clicks: 6 Ways To Use Google Analytics To Better Understand Your Site’s Traffic
• 768 clicks: 6 Ways Content Marketers Can Get More Value From Google Analytics
• 167 clicks: You Ask, I Answer: Google Tag Manager vs. Google Analytics

Upcoming Events

Where can you find us in person?

• Content Marketing World, September 2018, Cleveland
• MarketingProfs B2B Forum, November 2018, San Francisco

Can’t wait to pick our brains? Book a Table for Four and spend an hour with us live (virtually) on any topic you like:

https://www.trustinsights.ai/services/insights-foundation/table-for-four-consultation-package/

Going to a conference we should know about? Reach out: (https://www.trustinsights.ai/contact/)

Conclusion

Thanks for subscribing and supporting us. Let us know if you want to see something different or have any feedback for us! (https://www.trustinsights.ai/contact/)

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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.