I have a paid subscription to Tinder (‘Passport’) and can therefore choose any location in the world as a base camp for my swipes . This makes the experiment possible: Tinder, thanks to Passport, suddenly becomes a huge database to experiment with.
I went virtually from world city to world city and tested a different text each time. I used my own profile and of course the same photos each time. To keep the research pure, I kept the text short and powerful. The first question I wanted to answer was:
What scores better: a positive cliché or a quirk?
An example of a positive cliché I tested was: Getting the most out of life .
So, depending on which city they lived in, the ladies saw one of the following profiles on Tinder:
Tinder tests with two different texts.The protocol
The goal of the experiment was not to get as many matches as possible, but to test the textual variants pakistan phone number library against each other. I tested each of the two textual conditions (cliché or idiosyncrasy) with four separate texts. See the table below.
Each line of text was given a chance in a different city. This wasn’t ideal, but it couldn’t be helped. For example, I took Los Angeles as a starting point for the text Getting the most out of life . I set the location and asked Tinder to show profiles of women between the ages of 30 and 44, within a radius of 12 kilometers. I used four fairly normal profile photos, of which the above was the first. This applied to all cities from then on.As a counterpoint I
The big sweeping could begin. To keep it objective, my own preference played no role. I gave all the women who came by a YES. Incidentally, this is the standard tactic of many men these days, even men
A who have very different motives than experimental…
I randomly checked whether the women who came by had been online recently. After all, the chances of caseno email list women who had not been online for two or three days were slim to see my photo. Depending on the size of the population of active women in the city, this happened after about 500 women. I then stopped swiping.
After 24 hours I counted the number of matches. I divided this by the number of women I had said yes to digital marketing agencies in colombia myself. This gave me the match percentage for the line of text in question. In New York, for example, I had 20 matches out of 700 women: 20/700 = 2.85 percent. In Chicago, with a different text, 22 women out of 500 = 4.4 percent.
Rinse & repeat. I changed the text, ‘left’ to another city and started over.
The cities I ‘visited’ for round 1 were: New York, Chicago, San Francisco, Los Angeles, Philadelphia, Boston, Austin, Montreal, London, and Berlin.
Part 1 of the results