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It is possible to specifically nail down every incremental dollar added to the bottom-line of adding YouTube to your Search campaigns and then adding radio campaigns and then adding magazine ads and then adding Twitter. Bonus 2: Google Analytics has a wonderful set of reports called Multi-Channel Funnels. What do you find exciting?
And, through experimentation, what is it that they want on Facebook… Content perfectly targeted at their audience, in the above case to try and provide value to help them do their jobs better. If you truly, gloriously suck on TV, perhaps there's a report on some paper out there. I have not spoken to Fluke's Sr.
How good can it possibly feel to do unimaginative things that barely even worked on TV/radio/magazines/catalogs? Allocate some of your aforementioned 15% budget to experimentation and testing. If you partake in analysis , let that be at the intersection of custom reports and advanced segments.
Reporting/dashboards were terribly created ( CDPs anyone? ). It will get you to dive deeper into what site/app sections people visit, what they are not reading, what they do read, how many unique page views does it take to get a Lead, what about freshness of content, anything about layout and experimentation, so on and so forth.
Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. Let’s roll the clock back ~65 years.
How about magazines? Yes, you can get some weak demographic or, a bit better, psychographic signals from surveys TV channels or magazines did. It is an investment in numerous report writers or data (puking) automation or hiring a small army in India or Philippines to do that, before investing in any smart Analyst.
It is expensive from a systems/platforms/data processing/data reporting perspective. Focus on incredible behavior metrics like Pages/Visit, focus on the Visitor Flow report, obsess about Checkout Abandonment Rate, make love to Average Order Size. My hypothesis is that TV/Radio/Magazines have created this bad habit.
As well as a process that includes human review, and encourages experimentation and thorough evaluation of AI suggestions, guardrails need to be put in place as well to stop tasks from being fully automated when it’s not appropriate. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”
You rent audiences on TV, Magazines, Search, Display, etc. Train your organization that if we call something a KPI, it is the most important thing for everyone, obsess about it, trend it, segment is, custom report it, basically just shy of making love to it. Example: Free report: Do You Need Real Loyalty as a Publisher? ].
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