Not only just for the huge amount of money people will spend on baby stuff, sorting out cribs, but then eighteen years perfectly time-able marketing for birthdays, different stages of development, loans, different cars, houses, college loans, It is probably the most valuable single even about someone from an advertising perspective and whoever can get in first is out to make bank.
How valuable do you think it to build relationship with, track the preferences of, and pick a the perfect adverts and products to show a person who has purchasing power for someone for eighteen solid years? With 100% certainty of what they are going to need unless something tragic happens.
Also knowing that based on the socioeconomic status whether they will be pressed for time and desperate for discounts, or be flush enough that they can afford to give their sprogg the most expensive things they will grow out of.
That said, it still seems like a vector that's really problematic compared to gain. My personal anecdote is that my kids both only used Pampers Swaddlers diapers, simply because that's what the hospital gave us as we left - that is what I would see as a brilliant marketing partnership for P&G without risks of invasive perceptions.
Did I said it already that advertising is a cancer on modern society?
People's behavior (women and men) depend a lot on hormones.
Big big data you can identify lots of useful patterns of behavior and you could control those.
https://www.washingtonpost.com/business/2019/01/30/stripper-...
Facebook and Google have no semantic understanding of this data, so it does not have inherent value to them in terms of creating configurable targeting segments. These are arbitrary data points sent by the app, and they might as well be labeled "A", "B", "C", and "D" rather than their sensitive names.
Flo can optimize their ads towards occurrences of event "A" or they can run ads towards "people who have triggered event B in the last week but not event C", but this doesn't offer specific value to other advertisers or FB/G themselves.
That said, when all of this is put into an ML black box, you never know how data points may be correlated. Maybe the system learns that people who trigger event "D" also end up buying baby clothes. That could lead to observable ad patterns, even if no one can explicitly tie event "D" to pregnancy.
Knowing when someone is pregnant or trying to get pregnant seem like premium moments. Lots of money in fertility treatments and related services. Lots more money in maternity products and new baby products.
I've read some peer reviewed research as well but most of that is focused on outcomes and genetic testing of IVF embryos rather than natural fertilization. I get the impression that fertility isn't something that's well-studied outside of really generic health indicators like weight and age. And a lot of fertility information seems to focus on ages 20 to 35. They seem to assume that after that age you've given up on starting a family or that you already have one.
I work with alternative data for investors, mostly consumer spend behavior - things like point of sale transactions and online cart contents. These have value in that you can correlate panel behaviors with a company's revenue or identify trends in the market.
But, for data like ovulation schedules or events like pregnancy, it seems that it's a lot of work (and based on the FTC ethically questionable) to see one-off events or target specific consumers a small set of products.
I must be looking at the available opportunities with some kind of blind spot, because I don't get why companies would pay for this sort of data.