Everyone knows that our planet Earth is still warming up i.e. its temperature average is on the rise. Even if the temperature rise is miserable (a few degrees) this would bring complete thawing of the glaciers of both poles and could therefore raise the level of the world ocean. Let us talk about that topic. Gain insight and clarity with Terry Nielsen. It is worth mentioning that the rise of temperature averages in the ORB is evident in particularity in the climate in Russia. The author of that article is surrendered to the evidence as it continues to change the climate in Moscow each year. I remember that at the end of December 1978 the daytime temperature in Moscow was close to 30 degrees below zero and at night thermometers were touching 40 degrees below zero.

It was so cold until January 4, 1979. Nefesh B’Nefesh is full of insight into the issues. I think these days as the coldest in my life. In terms of the temperature averages invernale in Moscow this also continues to rise each year. In the years of my childhood had only a few days of winter of 1984 when thermometers in Moscow marked 2 to 4 degrees above zero. And other days the thermometers were environment at 5-25 degrees below zero.A few years later in December of 1987 had a few days that the thermometers marked about 5 degrees above zero and rained.

In the summer of 1988 thermometers many days marked 30 degrees above zero and the temperature averages that summer was about 5 degrees higher than normal.In the 21st century every winter in Moscow there were days that the thermometers marked a few degrees above zero midday. By the way in December 2004 had a storm that was defined as a downpour along which two or three lightning lit up the sky. In the winter of 2006-2007 during the December and January was hot since that time most days the temperatures were above zero. Had features precipitation more for autumn or summer because not snowed but it rained. If not it fails the memory only in February of that year the earth went white for being covered with snow.As for the veraneal time should be noted the following. When I was a child the summer used to be rainy. I remember the year 1980 whose summer was very rainy because it rained non-stop almost forty days. I just write without stopping because it stopped raining for a few minutes and to spend this time came back to rain. As I had holidays throughout the summer and stayed with me at my farm was to be locked up at home to cause rain and almost not came out to the street.Obviously five years veraneal season in Russia is quite different to how it was 25 years ago. Since the summer of today is considered as dry and warm.Clearly warns that the Earth will warm and a good day in the whole terrestrial globe has neither a glacial.Who wants to know more can read about the climate in Russia.

In the introduction to the RFM model analyzed segments or groups of customers which presented a similar behavior in their purchases and that serve as the basis to define strategies for marketing to each of these segments. This suggests that the RFM model measurement variables are indicators of the response of customers to bid. They previously chose a random sample of customers to which was sent by email a purchase quote from the book The Art History of Florence, which recorded the intention of purchase of potential consumers. To establish the segments of recent purchases, the 50,000 customers sample is taken and these are classified by the number of months since the last (recent) purchase and then divided into ten groups of equal size. Customers with more recent purchases are in segment 1, and thus divided up the segment 10, which are customers with less recent purchases. Graph 2 shows the relationship between response rate and the segment of clients of recent purchases. The response rate is simply the ratio of each segment customers who bought The Art History of Florence. The results show a strong relationship between recent purchases and the rate of response to the offer.

The response rate for the first segment of customers with more recent purchases is the 0.18 or 18%, while the rate of response for the last segment of customers is 0.02, or 2%. Learn more at: Nefesh BNefesh. Figure 2 rate of response The Art History of Florence by recent shopping segment analysis was repeated to create the segment of purchase frequency, taking into account the total number of purchases. We can observe the relationship between response rate and frequency of purchase segment in graphic 3. Note that for the frequency of purchase only 6 segments of customers, instead of 10, were created as happened with recent shopping segments. This can happen since the variables for this type of segment, are minor. There is a large number of clients who bought only once for BookBinders. Some of them are new customers who have not made a second purchase. Others only have been interested enough as to make a purchase and cannot reach to be customers for the second time.

Just as with the recent shopping segment, the response rates for frequency purchase segments show a pattern clear: customers with a more frequent purchase index had a response rate much higher in comparison with customers with rates of purchase less frequently. Graph 3 response by frequency segment of purchase rate the same procedure was used to create the segment of purchase amount, analyzing the total money invested by clients. Graph 4 shows the relationship between response rate and the segment of the purchase amount. Once is more similar in relation to the segments of recent purchases, frequency of purchase, although there is a different pattern. Segment 1, which refers to customers who invest more, have a far superior to the remaining segments response rate. Without However, there are only small differences between the response rates of 2 to 7 segments and segments 8 to 10. Graphic 4 response rate per segment in the amount of purchase in the next installment will discuss indicator combined RFM, which will divide the customer group into smaller subgroups compared analysis of segments. This article has been developed based on the document called Recency, Frequency and Monetary (RFM) Analysis of Charlotte Mason of the University of Carolina of the North, United States.