Sorry, they don’t. They’re snapshots of particular moments in time, so not entirely extrapolative. Solution? Use loyalty and engagement metrics for a more predictive polling experience.
Why? Because they’re leading-indicators of consumer (and voter) behavior and provide clarity in byzantine situations. As it seems it can’t get any more byzantine than the upcoming Presidential election, and as a public service, we’re providing a simplified DIY Presidential Election Engagement formula in this week’s column in The Customer.
You can take it in the privacy of your home or office.
Is it accurate? Our model has been used in every Presidential election since 1992, Bill Clinton v. George H.W. Bush. It has correctly predicted the winner in every presidential election, except in 2000 where George W. Bush beat our predicted winner, Al Gore. That’s an enviable, overall 86% success rate, even more extraordinary when you consider our model wasn’t designed to factor in Supreme Court rulings. Oh, and we called the 2016 election for Donald Trump too.
And, OK, your “Ideal Presidential Candidate” may not exist. Today. But with enough votes. . . you never know what’s possible until you do. Go vote.
Find out more about what makes customer loyalty happen and how Brand Keys metrics is able to predict future consumer behavior: brandkeys.com. Visit our YouTube channel to learn more about Brand Keys methodology, applications and case studies.Share this: