Before we begin, a special announcement. We’re holding a half-day Google Analytics for B2B Marketers Bootcamp in Washington, DC on October 15, 2019. Come get your analytics in shape in this half-day, hands-on event. Click/tap here to learn more and register.
Beware of conflicts of interest.
I was reading a report recently about how Instagram influencer engagement rates are declining, and while I agree from a trend perspective, the data that was being reported differed substantially from my own data by a factor of ~2x. The report said influencer engagement rates were at an all-time low of 4.5%, and the highest I’d seen in Trust Insights data was 2.3% (we’ll be sharing more on this soon). Why such a disparity? Aren’t we all looking at more or less the same data?
Yes and no. In this case, the report I was reading came from… an influencer marketing software company. If brands stopped doing influencer marketing, this company would quickly need to pivot to a different line of business; thus, it’s in their interest to over-report the effectiveness of influencers in order for them to keep accruing customers. They have, in short, a conflict of interest in their data reporting.
Every company, without exception (including Trust Insights), has conflicts of interest in some fashion. That’s why disclosing methodologies is so vital to ensuring that we understand what conflicts of interest may be present. What’s the best practice? We do our best to adhere to the disclosure checklist published by AAPOR, the American Association of Public Opinion Researchers, interpreting it for non-survey data. The checklist we modified looks like this:
- Name of the sponsoring organization (us or our client)
- Name of the data processor (us, for our research)
- The data source
- The population or sample from the data source used, if sampled
- A description of how the sample was selected, including any known bias if appropriate
- The total sample size
- The method of data collection and data processing
- The timeframe of the sample
- The dates of the processing
- Disclosure of any weighting or adjustment
- Margins of error if appropriate
I encourage you, in your own research and data publication, to use a similar checklist. If you’re doing actual surveys, strictly adhere to the original AAPOR checklist.
The Bright Idea
This week’s Bright Idea is our most popular blog post we’ve ever written, on Instagram Brand Engagement statistics. Learn what the latest stats are on brand engagement, and if you feel like your Instagram engagement has been down recently, you’re not alone.
Click/tap here to read the post, and if you like it, please share it.
In Case You Missed It
- Friday Learning with Trust Insights #FridayLearning
- Marketing Analytics, Data Science and Leadership via July 8, 2019 Week In Review
- {PODCAST} In-Ear Insights: Customer Data Protection and Privacy
- Google Analytics B2B Bootcamp
- Google Analytics Most Valuable Page Reporting
Shiny Objects
Social Media Marketing
- Instagram Analytics Guide: 10 of the Best Tools to Get Insights
- LinkedIn Page Content Strategy: What Marketers Need to Know
- Apple cofounder Steve Wozniak urges people to leave Facebook
Media Landscape
- What two big studies tell us about the state of local marketing
- Gen Z is abandoning Facebook, Kik, and Skype: survey
- The Best Video Editing Apps and Software for YouTube
Tools, Machine Learning, and AI
- When Recurrent Models Don’t Need to be Recurrent Off the convex path
- Learning to Learn with Probabilistic Task Embeddings The Berkeley Artificial Intelligence Research Blog
- How to Avoid Bias in Your AI Implementation
Analytics, Stats, and Data Science
- What Is a Data Scientist? The Simple Answer You’ve Been Seeking
- 11 Data Science Blogs Every Data Lover Should Be Tracking
- 5 things you need to look for in an enterprise data catalog
SEO, Google, and Paid Media
- Ad Reporting Discrepancies: What to Do When Your Data Doesnt Match
- The need for speed in search: 5 speed types to master now
- 10 Rich SERP Elements Your Can Leverage to Build Trust
Business and Leadership
- 10 Breakthrough Technologies 2019, curated by Bill Gates
- How Data Analytics Is (Slowly) Transforming Private Equity
- Many tech employees quit because they don’t know what their job is
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?
- MAICON, July 2019, Cleveland
- IBM Data Science Boston, July 2019, Boston
- 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.
In Your Ears
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- In-Ear Insights on iTunes/Apple
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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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