Something we’ve been mulling over for this newsletter is whether there’s a good fit for some unique, regularly published data. Are there specific, repeatable, useful stats that would be handy to know? If so, what would they be? Just hit reply on this email to let us know what you might want to see regularly.
Not sure what that would look like? Maybe something like this:
Rear View Mirror Data
Based on the last week’s worth of data, the median engagement rate on YouTube for videos with more than 100 views was 4.39%. The median number of likes a video earned was 39; the median number of views was 981. We sampled this data from videos on YouTube using the social media software Talkwalker and custom-built code. The sample size was 33,595 posts.
Based on the last week’s worth of data, the median engagement rate on Instagram for brands on their paid/sponsored posts was 0.5%, The median engagement rate for unpaid/organic posts was 0.4%. We sampled this data from a list of 4,000 brand accounts on Instagram using the social media software Crowdtangle and custom-built code. The sample size was 31,739 posts.
What do you think? Anything else that would be a handy little bit of useful data you’d want to see week over week in this newsletter?
The Bright Idea
This week’s Bright Idea is our Predictive Analytics for Marketers talk from the inaugural Marketing AI Conference, MAICON. Watch CEO Katie Robbert’s full talk and get the slides, MP3 for your commute, transcript, and video replay.
Click/tap here to watch the entire session and if you like it, please share it.
In Case You Missed It
- {PODCAST} In-Ear Insights: How to Avoid Running Out of Content Marketing via Trust Insights Marketing Data & Analytics Consulting
- Marketing Analytics, Data Science and Leadership via July 29, 2019 Week In Review via Trust Insights Marketing Data & Analytics Consulting
- 5 Ways Your AI Projects Fail, Part 1: Introduction and the AI/Machine Learning Project Lifecycle via Trust Insights Marketing Data & Analytics Consulting
- {PODCAST} In-Ear Insights: Marketing Data Violating Privacy Regulations via Trust Insights Marketing Data & Analytics Consulting
- Instant Insights: The Media/Agency Landscape via Trust Insights Marketing Data & Analytics Consulting
- Instant Insights: The AI/Machine Learning Lifecycle via Trust Insights Marketing Data & Analytics Consulting
Shiny Objects
Shiny Objects is a roundup of the best content you and others have written and shared in the last week. It uses machine learning for the automated one-sentence summaries.
Social Media Marketing
- Beware of Facebook Groups. Long Live Communities!: Q2: Will Facebook do to groups what it did to Facebook pages?
- Facebook hit with major restrictions as part of $5 billion FTC fine: In this particular case, the third-party in question was Cambridge Analytica, and the data taken was from over 50 million Facebook users.
- How to Create an Instagram Content Plan for Your Business: Before I share some best practices for using hashtags on Instagram, lets look at the different types of Instagram hashtags.
Media Landscape
- How to Get Your Videos Discovered on YouTube: Want more people to find and watch your videos on YouTube?
- EU says that websites with Facebook Like buttons are liable for private data sharing: The Court makes clear that the operator of a website such as Fashion ID, as a (joint) controller in respect of certain operations involving the processing of the data of visitors to its website, such as the collection of those data and their transmission to Facebook Ireland, must provide, at the time of their collection, certain information to those visitors such as, for example, its identity and the purposes of the processing.
- IoT The Buzzword for Market Researchers: With apps, the market researchers are undertaking predictive IoT analysis.
Tools, Machine Learning, and AI
- Deep learning is about to get easier – and more widespread: Transfer learning reduces the amount of training data required to create an AI model.
- Apple contractors working on Siri hear couples having sex, drug deals: According to the anonymous contractor who came forward, Siri’s quality-control workers could potentially misuse this private information, since there’s no specific procedures to deal with sensitive recordings.
- Hype is killing AI heres how we can stop it: Rationally, we would expect everyone to avoid using artificial intelligence and instead employ the more specific terms that describe their technologies.
Analytics, Stats, and Data Science
- Here’s what you need to know about IBM’s new open-source Data Asset Exchange for AI: Also, we can use DAX datasets as a starting point for developers to train customized versions of our Model Asset Exchange models by mixing the DAX data with a little bit of their own local data.
- Simplifying Google Analytics configuration with Google Tag Manager: Click within the Triggering section to choose which pages you want the tag to appear on.
- Researchers: Anonymized data does little to protect user privacy: According to the Office of the Australian Information commissioner, sampling According to a trio of European researchers, individuals in a sample database can be re-identified 83 percent of the time using just three data points: their gender, date of birth, and zip code.
SEO, Google, and Paid Media
- What popular websites looked like at launch, and now: A fun retrospective.
- SMX replay: Visualizing Auction Insights data for competitive intelligence: Now, the biggest thing you have to do with data curation is that you actually have to prioritize the competitors that youre looking at.
- Google Explains How It ‘Maps’ The Entire World: Just like other people Ive also had a feeling of curiosity about how the company is able to source so much data and build a highly interactive map out of it.
Business and Leadership
- GM’s A. Charles Thomas on the Evolution of Chief Data Officer: He said this helped free up time and resources for data analysts to work on higher-order, business-critical problems instead of constantly having to report on how many we sold yesterday.
- Microsoft, Amazon, other tech giants forge ahead on healthcare data sharing pledge GeekWire: Today, the tech giants renewed their commitment to healthcare data sharing standards with a new joint statement that highlighted the past years progress.
- Winners and losers of approved T-Mobile-Sprint merger: analysis: A combined company would also be set up to upgrade T-Mobile’s and Sprint’s networks for 5G wireless technology.
Join the Club
Are you a member of our free, private Slack group, Analytics for Marketers? Join 300 like-minded marketers who care about data and measuring their success. Membership is free – join today.
Upcoming Events
Where can you find us in person?
- BACon, August 2019, Chicago
- Content Marketing World, September 2019, Cleveland
- INBOUND, September 2019, Boston
- MarTech East, September 2019, Boston
- Google Analytics for B2B Marketers Bootcamp, October 29, Washington, DC
- MarketingProfs B2B Forum, October 2019, Washington DC
Going to a conference we should know about? Reach out!
FTC Disclosure: Events with links have purchased sponsorships in this newsletter and as a result, Trust Insights receives financial compensation for promoting them.
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Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
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