to a pregnant teenager before her dad knew she was pregnant?
Knowing when to put product offers in front
of people became Target's secret to growth to the
tune of $44 billion in 2002, to $67 billion in 2010.
They figured out if a person bought a certain product,
then there was a very high probability they would buy another group of
products at a very narrow window of time.
Now, not to freak out pregnant women that only pregnancy and baby products
were shown, they would scatter other random products to make it look
Data mining beyond what your existing customers buy,
now you can build out profiles of what similar buying habits
others posses like your best customers do.
You can then buy a list of a similar audience.
1,300 data points are available for the American shopper.
So this reinforces the power of knowing WHO
the RIGHT audience you should be sending
your message to.
So called "dumb big brands" know more about this
than most direct response copywriters.
Building out a list of similar buyers to your best one's
is now available to small businesses, so long as you have
a name and address of your customers.
This slashes the waste in advertising
because the message only goes to those that are most likely to buy.
Not guess work, but based on past buying habits elsewhere.
They now have the same power as the Big Brands.
Here's the story on the pregnant teen, her dad and Target...
How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did
Doctor E. Vile