Sainsbury's, British supermarket

[rochon.a1.119]

This is how they created the great algorithm that predicted the pregnancy of a teenager who had not yet reached the age of majority.

Target knew about it, even before the pregnant woman's parents found out.

Target's algorithm was based on Bayes' theorem, a theory that relies on random probabilities, so the retailer could know the probability of certain things happening.

The case of the pregnant teenager came to light because, according to the algorithm created by Andrew Pole, pregnant women have a purchasing pattern.


For this reason, this teenager received discount coupons for baby products in her email.

Target certainly had to be included in these examples because it has always made an effort to learn personal details about its customers, who are also identified with an ID.

This is personalization in data-driven marketing, as I mentioned at the beginning.


Do you remember proximity marketing?

Well, this British supermarket used it to promote offers inside and outside the store.

Even to send messages to customers who were buying from the greece phone number list competition and generate offers that would allow them to return to Saunsbury's.

Their campaign was so great that it won the Mobile and Marketing Award at last year's Marketing Week event.

AMA: Chilean organic food brand
It is a Chilean organic food brand that has been creating a solid campaign with the help of nanoinfluencers.

You can visit their website or view the profiles of the figures who are supporting the brand's micro strategy.

Here are the screenshots:

@gabiquevedo

Personalization in Marketing - AMA Example
@fernibytheuniverse

Personalization in Marketing - Nanoinfuencers AMA
@ohmnatural

Personalization in marketing - AMA example nanoinfluencer
If you go to the home page of one of these profiles, you will notice that none of these nano-influencers have more than 5,000 followers, but their likes are few, organic and true.