I had to choose between the TomTom Italy (34,99 Euro) and the TomTom Western Europe (49,99 Euro): well, for 15 Euros more I decided for the latter, looking forward to go around the Europe later, but, because it was late night I delayed the purchase for the day after.
Surprise Surprise
The few days after I go on the iTunes store to check the app and... surprise, the price jumped to 69,99 Euros! 20 Euros more, wow!So, discouraged about the thing I started to think that it was all my fault and that probably I should have bought before, when there was the previous promotion (?): but I haven't seen anywhere about a promotion on the TomTom app, how can I figure out there was one?!
So, even if I was still tempted to buy it, I've checked a bit online to find out if TomTom had published any promotion about it's iPhone app... nothing.
Data matters
So, when I was about to buy the app at the new price it comes back to my mind that a site that tracks all the price changes in the App Store, so looking for another promotion from TomTom I gave it a try.Filtering all the apps (in the right market), I've found this small table, in the corner:
Collecting and playing a bit with the data I manage to have a representation of the trend of the changes of the app on the store:
Starting from the statement above let's filter out the data by week days and see if I have any chance to buy the app with a lower price:
=COUNT(FILTER(C2:C;C2:C=0;D2:D="Positive"))The spreadsheet starts to count only the positive and negative change occurrencies in the data for each weekday.*
At the end something more interesting comes out of the data:
Conclusions
So, because it was Wednesday when the price was 69,99 Euros there's still a small chance to buy the app for 20 Euros less the day after: maybe it was worth to try for a 30% sale...And there it is: the day after it comes the price drop again and I've got now my TomTom app at a very good price!
This the story on why study the data, sometimes, it's worth. At least 20 Euros.
Now just remember to buy the TomTom app only on Thursdays!
* The Column "C" had the Weekday number (0->6) and the Column "D" was a boolean column filled with the strings "Positive" and "Negative".
Very good analysis.
RispondiEliminaThis type of analysis should be broadcast to everyone in order to create awareness among the public and, hopefully, stop these subtle pricing techniques that are so annoying.
Thanks Riccardo.
RispondiElimina