Lower and higher demand times

[+ José Soplanucas]

Hey there!

 

I've read in some threads that escorts may offer lower fees during the time bands when the demand is usually lower. Can you guys share what are usually the most and the least popular time slots throughout an escort work week? Thanks!

[sincitymix]

Hey there!

 

I've read in some threads that escorts may offer lower fees during the time bands when the demand is usually lower. Can you guys share what are usually the most and the least popular time slots throughout an escort work week? Thanks!

 

Before Payday and after payday?

[Kevin Slater]

Lifetime revenue by day of the week:

 

http://laterslater.com/Days.png

 

Kevin Slater

[Irtwo]

Thanks for that graph, the difference between those days is a lot less than I figured it would be. I would have thought weekends (Fri, Sat, and Sun) would be more than double the other days.

[Samfoslom]

so I guess Wed isn't hump day after all

[Kevin Slater]

Alright, just to be really obsessive, I just ran the data by day of the month. (Pivot tables are so cool!)

 

Percent of lifetime revenue, by day of month:

http://laterslater.com/Dates.png

 

Kevin Slater

[Steven_Draker]

Can you guys share what are usually the most and the least popular time slots throughout an escort work week? Thanks!

 

Evenings (prime time for escorting) are busier ... as are afternoons and noon times on weekdays.

 

Mornings are slower.

 

6-8pm (dinner time) tends to be a slower period.

 

Friday evening/Saturday evenings people are getting horny and the phone rings more (compared to a weekday night).

 

Sundays tend to be a slower period and business starts picking up on Sunday evening.

 

I hope this makes sense.

 

(Your mileage may vary)

[+ quoththeraven]

I'm tempted to ask Kevin what software he's using, but I'm almost afraid to ask. Also, since not every month has a 31st (or a 29th or 30th), it's not surprising that revenue on those days is lower. I imagine that this could be taken into account, though it may have to be done manually, but my brain rebels at the idea of working out how. I'd need to sit down with pen and paper to figure it out.

[mike carey]

I'd need to sit down with pen and paper to figure it out.

Here's one I prepared earlier:

29th, multiply the percentage by 48/45 (3 months of every 48 don't have a 29th day - 3 x February)

30th, by 48/44 (4 months of every 48 don't have a 30th day - 4 x February)

31st, by 48/28 (28 months of the 48 in four years have a 31st day)

[+ quoththeraven]

Here's one I prepared earlier:

29th, multiply the percentage by 48/45 (3 months of every 48 don't have a 29th day - 3 x February)

30th, by 48/44 (4 months of every 48 don't have a 30th day - 4 x February)

31st, by 48/28 (28 months of the 48 in four years have a 31st day)

 

But don't all the other days need to be adjusted as well? We're talking % of lifetime revenue, which should presumably add up to 100% even if we're using weighted percentages, which means each of the other days should be adjusted downward somewhat. But maybe the effect on any given day is so marginal as to not be worth it.

[mike carey]

But don't all the other days need to be adjusted as well? We're talking % of lifetime revenue, which should presumably add up to 100% even if we're using weighted percentages, which means each of the other days should be adjusted downward somewhat. But maybe the effect on any given day is so marginal as to not be worth it.

Yes, if the actual percentage or the $ amount for each day of the month was important you would have to make that sort of adjustment. But if you are only trying to work out if a particular day of the month was more lucrative, then you only need correct for dates that happen less frequently over the cycle.

 

There is an additional wrinkle that I thought of while answering this. If payday is the last day of the month and the fact that people had discretionary money on that day is relevant, the adjustment would be too complicated for me! Payday on the last day of the month could also boost income on the following day (ie 1st). I suspect income by day of the month is random though!

[+ José Soplanucas]

Thanks everyone, this has been very informative!

[Kevin Slater]

I'm tempted to ask Kevin what software he's using, but I'm almost afraid to ask.

 

Simply FileMaker Pro, Excel, and elbow grease.

 

Kevin Slater

[+ SundayZip]

If all escorts kept their stats, rates, discounts, locations and availability online, someone could create a consolidator website and we could do priceline.com type shopping for escorts. Or maybe kayak.com could add an escort option to their consolidation software.

[rguer]

 

There is an additional wrinkle that I thought of while answering this. If payday is the last day of the month and the fact that people had discretionary money on that day is relevant, the adjustment would be too complicated for me! Payday on the last day of the month could also boost income on the following day (ie 1st). I suspect income by day of the month is random though!

 

Many people are paid on the 1st and the 15th (or nearest workday). That might account for the 1st and 3rd being high. But that doesn't account for the 2nd being so low.

[Steven_Draker]

Many people are paid on the 1st and the 15th (or nearest workday). That might account for the 1st and 3rd being high. But that doesn't account for the 2nd being so low.

 

Don't take Slater's numbers as "universal".

 

You have to take a sample of several escorts' statistics (if available) to make a "representative" conclusion.

[Zman]

I love the graphs. I wonder if Kevin's number suggests he sees many clients that aren't tied to a 9 - 5 job. I'd expect weekends to be busier. Of course, it just may be the sign of a well-established escort: he will only see a certain number (1? 2?) of clients per day so those who want to see him have to find an open day. This would tend to smooth out his business during the week.

 

Personally, I only hire on weekends if I can help it.

[Rudynate]

I love the graphs. I wonder if Kevin's number suggests he sees many clients that aren't tied to a 9 - 5 job. I'd expect weekends to be busier. Of course, it just may be the sign of a well-established escort: he will only see a certain number (1? 2?) of clients per day so those who want to see him have to find an open day. This would tend to smooth out his business during the week.

 

Personally, I only hire on weekends if I can help it.

 

 

I would think the client population would include a higher number of professionals, self-employed and high net-worth individuals than the general population. Even among people who have jobs, I would think they would tend to be highly-paid professional employees who have a lot of autonomy and who control their own work schedules. Hiring escorts isn't an inexpensive pastime.

[+ Charlie]

One factor that doesn't seem to be addressed in all these calculations is that--I assume--Kevin is not available for hire 24/7/365. He probably has a routine pattern of availability that influences his income stream, as do most escorts.

[Nebost]

I love the graphs. I wonder if Kevin's number suggests he sees many clients that aren't tied to a 9 - 5 job. I'd expect weekends to be busier. Of course, it just may be the sign of a well-established escort: he will only see a certain number (1? 2?) of clients per day so those who want to see him have to find an open day. This would tend to smooth out his business during the week.

 

Personally, I only hire on weekends if I can help it.

 

I suspect weekdays are equally busy because many people of means are frequent fliers who travel to other cities to take care of business during the week. A jet setter salary, no home obligations while away, and all alone in a hotel room at night. A gander at Rentboy reveals a bounty of boys that aren't available at home. What to do?

[+ FreshFluff]

Here's one I prepared earlier:

29th, multiply the percentage by 48/45 (3 months of every 48 don't have a 29th day - 3 x February)

30th, by 48/44 (4 months of every 48 don't have a 30th day - 4 x February)

31st, by 48/28 (28 months of the 48 in four years have a 31st day)

 

But don't all the other days need to be adjusted as well? We're talking % of lifetime revenue, which should presumably add up to 100% even if we're using weighted percentages, which means each of the other days should be adjusted downward somewhat. But maybe the effect on any given day is so marginal as to not be worth it.

 

It depends on what you want to accomplish. Mike's calculation implies that he wants to figure out what percentage of income would be earned on the 30th and 31st if those days occurred every month. (If he wanted to know the actual percentage of income earned on each day, then the adjustments we're doing aren't necessary.)

 

Let's simplify and calculate averages within a non-leap year. Adjusting for the small difference made by the leap year isn't worth gathering another three years of data.

 

QTR is right, but an easier way would be to adjust the average $ revenue (not the percentage of revenues) for days 30 and 31, and then calculate the percentages. So the average $ revenue for the 30th and 31st would be multiplied by 12/11 and 12/7, respectively. Now calculate the average revenue for the other days and then the percentages.

 

Hey, Kevin, do you know how to use vlookup tables? That would be really hot.

[+ FreshFluff]

I love the graphs. I wonder if Kevin's number suggests he sees many clients that aren't tied to a 9 - 5 job. I'd expect weekends to be busier. Of course, it just may be the sign of a well-established escort: he will only see a certain number (1? 2?) of clients per day so those who want to see him have to find an open day. This would tend to smooth out his business during the week. Personally, I only hire on weekends if I can help it.

 

Other escorts have said that many of their clients are married men, who wouldn't be available on weekends. Thursdays and Fridays are the most common days for professional men to go out after work.

[Kevin Slater]

Hey, Kevin, do you know how to use vlookup tables? That would be really hot.

 

I know of vlookup, but not sure what I'd use it for, especially when the raw data is in a relational database. What could I glean from it?

 

Kevin Slater

[+ FreshFluff]

Kevin, I was kidding around. Vlookup is mainly used to find information in a database. For example, if you kept track of each client's name, total amount spent on you, where they found you (Rentboy vs. Rentmen), you could have Excel return one of those pieces of information based on the other. (What's the average amount spent by clients who contacted me on Rentmen vs. Rentboy?) It wouldn't be that useful for you, as it's meant for things like large employee databases.

 

In any case, Excel now offers new functions called Index and Match that are said to work better than vlookup.

http://www.mbaexcel.com/excel/why-index-match-is-better-than-vlookup/

[Kevin Slater]

What's the average amount spent by clients who contacted me on Rentmen vs. Rentboy?

 

$852 vs $1641. I love data like that!

 

Kevin Slater